Your cart is currently empty!
Certified AI Direction Architect (CAIDA)
Download brochure
Turn your everyday AI use into a professional advantage. CAIDA helps you direct AI professionally: decide what it should do, guide and validate the work, and apply it to your own real work. In six weeks, demonstrate capability in two of six domains.
Certified AI Direction Architect (CAIDA)
Program Highlights
Accreditation & Credibility
Benchmark Six Sigma is an Accredited Training Provider of Exemplar Global (formerly RABQSA), a globally recognized certification body and part of the ASQ (American Society for Quality) family.
Exemplar Global accreditation ensures consistent standards, credible assessments, and global acceptance — validating capability without replacing it.

Duration & Format
6 WEEKS | 9 HOURS COMMON LIVE SESSIONS | 25–33 HOURS TYPICAL TOTAL
Six weeks. Live online. Designed to fit around a working professional’s schedule.
Everyone attends a 1-hour live Foundation followed by four 2-hour live core sessions, one each week during Weeks 1–4. Between sessions, you apply what you are learning directly to your own real work in two confirmed domains.
Weeks 5–6 provide time for completion, coaching and live capstone vivas, scheduled as your work becomes ready for assessment.
Your expected total commitment
- Two standard domains: approximately 25–33 hours
- If you choose Analytics: approximately 27–35 hours, including one additional 2-hour live Analytics primer
- If you choose Business Applications: approximately 30–40 hours, including two additional 2-hour live build labs in Weeks 5–6
Business Applications uses Weeks 5–6 for supervised building rather than the standard completion period, with its viva scheduled after the build work is complete.
These workload ranges include live sessions and application work. They are current planning estimates and are being validated against the first CAIDA batches.
Live Online
Differentiators
Unique Value Proposition
Why CAIDA Is Different
Beyond using AI. Learn to direct it.
Most professionals are already learning how to use AI. CAIDA develops the next capability: directing AI professionally across real work.
You decide what AI should do and what should remain human. You define the outcome, provide the right evidence and boundaries, choose the route through the work, challenge weak output, test what can be trusted, and turn the result into something useful.
You remain accountable throughout.
That is the role of the Certified AI Direction Architect. “Architect” means architecting how AI is directed in your own work, not designing AI systems. Building AI solutions for others or for an organisation belongs to CAISA, the Certified AI Solution Architect credential.
A professional discipline for directing AI: DIRECT AI
CAIDA develops eight Direction Abilities, remembered as DIRECT AI:
- Delegate — decide what AI should and should not do, while ownership stays with you
- Intent — define the job, intended user, outcome and what good means
- Route — choose and sequence the route through the work
- Equip — provide the smallest sufficient set of relevant, authorised evidence, background and boundaries
- Course-correct — diagnose output, redirect intelligently and know when to stop
- Test — earn the right to rely on the result
- Apply — make the result useful at its real point of application
- Independent reuse — make successful direction repeatable by someone else
Together, the eight abilities form DIRECT AI, a practical operating discipline for directing AI across real work.
They are not eight rigid steps. They work together as an operating discipline. And CAIDA deliberately rejects a common assumption about AI capability: more prompts, more tools, more context and more iterations do not automatically mean better AI use. Better judgement does.
Real work. Demonstrated capability. Not attendance.
CAIDA is not earned by completing lessons.
You apply the Direction Abilities to your own genuine work and demonstrate them in at least two professional domains. Your applications may involve research, analytics, decisions, communication, recurring workflows or business applications.
Each domain requires a real-work capstone and a live viva. Every Direction Ability must reach the required standard.
That is why CAIDA certifies more than familiarity with AI. It records the domains in which you have demonstrated that you can direct it.
Your successful AI use becomes reusable
CAIDA does not stop when you produce a good result once.
You convert successful direction into a reusable AI Skill: a structured capability package containing the purpose, inputs, instructions, decision rules, human approval points, validation checks, safeguards and examples needed to use the approach again.
A Skill is not merely a saved prompt.
For the CAIDA credential, at least one Skill must be cold run by someone else without you guiding them. The real test of reuse is whether the capability survives when its creator leaves the room.
Responsible Direction is part of competence
CAIDA teaches a simple standard:
Test before you rely.
Asking the same AI to check its own output may be useful review, but it is not independent validation.
Responsible Direction runs through every domain and every capstone. Participants must protect authorised information, verify material claims, retain human authority over consequential decisions, avoid harmful use, disclose material AI involvement where required, and ensure AI-enabled workflows or tools have proper ownership and control.
These are not optional ethics points added at the end of the program. A serious Responsible Direction breach cannot be averaged away by strong performance elsewhere.
And every participant must be able to answer one final question:
When should this AI-enabled result not be used?
Package Inclusions
Live Learning and Direct Facilitation
Your CAIDA enrolment includes:
- a 1-hour mandatory live Foundation;
- four 2-hour live core sessions;
- live demonstrations of AI Direction in practice;
- critique of selected anonymised participant Direction Records;
- individual feedback and coaching in both confirmed domains;
- offline capstone pre-evaluation and a mandatory live viva for each domain.
Analytics also includes a 2-hour live primer at no additional fee. Business Applications includes two additional 2-hour live build labs and carries a separate supplement.
Your Own Work as the Application
Your assessed work is never a classroom simulation.
In each of your two domains, you develop one substantial application using genuine work you own or are accountable for. The work develops through four staged Direction Records, with feedback as you progress.
You finish each domain with a real deliverable and a reusable AI Skill, with before-and-after evidence where the work supports it.
Personal AI Direction Report
After enrolment, you complete a nine-question Diagnostic about your work, not about your knowledge of AI.
Your personal AI Direction Report helps identify where AI Direction may create the most useful leverage in your work. It proposes two provisional domains, plus one more worth considering.
You make the final domain choice after Foundation.
The Diagnostic is developmental guidance, not an entrance test or competence score.
Individual Feedback, Coaching and Assessment
Every participant receives:
- trainer review of Direction Records;
- detailed individual feedback in both confirmed domains;
- coaching during the application period;
- capstone pre-evaluation;
- a mandatory live viva;
- one included resubmission if a capstone is Not Yet Demonstrated.
CAIDA is deliberately capacity-limited because every participant receives individual review, coaching and live assessment.
Reusable AI Skills
CAIDA does not stop at getting a good result once.
You convert successful AI Direction into a reusable Skill containing the instructions, context, decision rules, safeguards and validation checks needed to use the approach again.
At least one Skill must be successfully cold-run by another person without you guiding them in real time.
Community and Continuing Access
You retain access to:
- completed program materials;
- the CAIDA alumni community;
- open clinics;
- your private capability profile and credential record.
Your public verification shows the domains you have demonstrated and when.
Certified AI Direction Architect Credential
The CAIDA credential is awarded after you have demonstrated the required standard in two domains.
Your credential:
- records the domains you have demonstrated;
- carries one permanent credential ID;
- can be extended later by adding further demonstrated domains;
- has lifetime validity;
- is publicly verifiable through a QR-linked online record.
There are no separate module badges or sub-certificates. Additional domains extend the same credential.
Key Benefits
Learning Outcomes
Direct AI Professionally
Learn and apply the eight Direction Abilities of DIRECT AI:
- Delegate what AI should and should not do
- Intent define the job, outcome and what good means
- Route choose how the work should proceed
- Equip AI with the right evidence, context and boundaries
- Course-correct weak output and know when to stop
- Test before you rely
- Apply the result where it is actually needed
- Independent reuse make successful direction repeatable by someone else
These abilities work across suitable generative-AI tools rather than belonging to one platform. CAIDA is deliberately tool-agnostic.
Work at the Level of Judgment, Not Just Prompts
CAIDA takes you beyond asking AI for answers.
You learn to decide what belongs with AI, what must remain human, what evidence is needed, how the work should be structured, how output should be challenged, and what must be verified before anyone relies on it.
The goal is not more AI use. It is better-directed AI use.
Apply AI to Your Own Real Work
You develop capability through genuine work in two professional domains.
Depending on the domains you choose, your application may involve:
- research and knowledge;
- analytics;
- problem solving and decision making;
- high-stakes communication;
- recurring workflows;
- lightweight business applications.
Your credential records the domains in which you have actually demonstrated application. CAIDA develops the common Direction abilities across domains, but does not claim that competence demonstrated in one automatically proves competence in another.
Finish With Work You Can Use
Your learning produces real outputs rather than classroom exercises.
Depending on your domains, these may include research briefs, analyses, decision records, communications, redesigned workflows or working business tools.
You also convert successful direction into reusable AI Skills, with at least one Skill successfully cold-run by another person.
Build Judgment You Can Reuse
Tools will change. The Direction discipline is designed to transfer across them.
You learn to:
- decide when AI is appropriate and when it is not;
- protect confidential and restricted information;
- test claims and calculations before relying on them;
- retain human ownership of consequential decisions;
- turn successful approaches into reusable capability.
This is the part of CAIDA intended to remain useful even as individual AI products change.
Designed for Non-Technical Professionals
No programming background is required, and no prior AI experience is assumed.
You need access to a suitable generative-AI tool and genuine work you are accountable for. You may work in ChatGPT, Claude, Gemini, Copilot or another suitable platform approved for your environment.
Business Applications normally also requires a separate platform in which to build.
One Credential That Can Grow With You
You earn the Certified AI Direction Architect credential after demonstrating the required standard in two domains.
Later, you can add further domains to the same credential as your work evolves. The credential remains lifetime valid, while Practice Updates provide a separate indication of current practice
Key Focus Areas
Topics Covered
Topics Covered
CAIDA runs as one six-week batch that mixes all six domains. Everyone takes Foundation and the four live core sessions together, then applies the method in two domains of their choice. All six domains are peers: no prerequisites between them, no fixed order, and any pair permitted.
Foundation (mandatory — one live online hour, immediately before your Week 1 session)
- The complete discipline of directing AI — DIRECT AI: Delegate, Intent, Route, Equip, Course-correct, Test, Apply, Independent reuse. The eight abilities are taught as one interacting loop, not eight rigid steps, with a trainer demonstrating a full direction cycle end to end.
- The six Responsible Direction red lines that govern everything after it, with worked examples of how each one fails a capstone: test before you rely, protect confidential data, keep consequential decisions human.
- The six domains in enough depth to choose, then your domain decision: you confirm or change your provisional pair by the Monday after your Week 1 session.
- An automatically scored knowledge check (80% to pass, with every Responsible Direction question correct) and one reassessment opportunity. Foundation scores never appear on your credential.
The common core — four live sessions, with the whole batch together
- Week 1 — Demonstrate and begin: a live demonstration of directing patterns on real work, then guided application to your own, and your first application task set.
- Week 2 — Critique and improve: anonymised participant Direction Records dissected against the rubric, ability by ability — where the intent was clear, where the testing failed.
- Week 3 — Stretch and prepare: whole Direction Records critiqued end to end, harder patterns, reusable-Skill development and capstone preparation.
- Week 4 — Confirm and consolidate: capstones due by the end of the week, at least 72 hours before your viva.
- Weeks 5–6 — Vivas and completion, scheduled when your evidence is ready, plus the Business Applications build labs.
Each case is carried from one domain into another, so you learn the ability, not just the example.
Then your two domains, proposed by your AI Direction Report and confirmed by you after Foundation:
Domain 1 — AI Direction: Research & Knowledge
- Frame research questions and evidence standards, direct deep research with a defensible source strategy, and work through long documents with full traceability.
- Synthesize and reconcile conflicting evidence, get up to speed on unfamiliar domains, and build reusable Skills — from the Evidence-Backed Research Brief to the Get-Up-To-Speed Tutor.
Domain 2 — AI Direction: Analytics
- Move from a real business question to defensible insight: metric definitions, data readiness and provenance, method and assumption choices, and interpretation that separates what the data shows from what you infer. A two-hour live primer on the Tuesday after launch levels entry data literacy first.
- Validate and reproduce every material calculation, tell the analytical story visually, and build Skills like the Performance & Variance Analyzer and Insight-to-Action Brief.
Domain 3 — AI Direction: Problem Solving & Decision Making
- Frame and decompose real problems, explore cause hypotheses with evidence, generate genuine options, and set decision criteria before scoring — with AI as a rigorous thinking partner, never the decision-maker.
- Red-team your own conclusion with premortems and adversarial challenge, then produce a decision record that survives scrutiny — with Skills like the Cause Hypothesis Explorer and Premortem & Scenario Challenger.
Domain 4 — AI Direction: Influence & High-Stakes Communication
- Define what your audience must understand, trust, decide or do; build message architecture before drafting; and keep an authentic voice that sounds like you at your best.
- Adapt one message across stakeholders, channels and live conversations — ethically, with verified facts — using Skills like the Storyline Architect and Stakeholder Message Adapter.
Domain 5 — AI Direction: Workflow & Productivity Systems
- Find the recurring work worth redesigning, map its real current state, and divide the work deliberately between human and AI — eliminate first, orchestrate last.
- Handle exceptions, approvals and sensitive information; measure the before and after; and build systems like the Inbox or Request Triage System and the Meeting-to-Actions System that keep the time reclaimed.
Domain 6 — AI Direction: Business Applications
- Scope and build small working tools — trackers, dashboards, approval flows — without becoming a developer, including the judgment of when not to build. Two live build labs in weeks 5 and 6 give you supervised construction time.
- Design data, rules and permissions; test exceptions and misuse; deploy, hand over and own the tool, so it survives you stepping away.
- Scope stays within four conditions:
- you build, own and maintain it alone;
- its users are named individuals;
- it runs safely without a governance artefact;
- you can restore the manual process if it fails.
Beyond that is CAISA territory.
Between sessions: application in both confirmed domains. Each domain gets one live application, built through staged Direction Records due 48 hours before the next core session, with Week 4’s due alongside your capstone. Most of your commitment sits here: roughly 8–12 hours per domain across the batch, including capstone and viva.
Your capstone is a real deliverable, assessed on all eight abilities against a four-level scale: 0 Not evidenced, 1 Developing, 2 Demonstrated, 3 Strong. To pass:
- every ability must reach at least Demonstrated;
- your domain’s Apply floor — its real-use requirement — must be met;
- no Responsible Direction concern may remain unresolved.
Work assessed as Not Yet Demonstrated gets specific feedback and one included resubmission. If it still falls short, you receive an individual development plan and can re-demonstrate the domain in a later batch, without repeating Foundation or the core.
Who It’s For & Entry Requirements
Target Audience (Professional Roles, Experience Level)
- Who CAIDA Is ForCAIDA is designed for professionals whose work involves understanding information, analysing data, making decisions, communicating with others, improving recurring work or creating lightweight business tools.It is relevant across roles such as:
- operations and functional management;
- consulting and business analysis;
- finance;
- quality, Lean Six Sigma and Business Excellence;
- HR, sales and marketing;
- project and product management;
- training and education;
- entrepreneurship and independent consulting.
You do not need to work in technology. CAIDA is about directing AI in work you already understand and are accountable for.
It is particularly natural for Lean Six Sigma and process-improvement professionals because the Problem Solving & Decision Making domain extends familiar disciplines of framing, evidence, alternatives and validation into AI-assisted work.
Prerequisites (Required/Recommended Knowledge)
- What You NeedNo programming background, technical AI background or prior AI experience is required.You do need:
- basic digital fluency;
- access to at least one suitable generative-AI tool, such as ChatGPT, Claude, Gemini or Copilot;
- genuine work that you are accountable for and can use during the program.
A free AI plan may be sufficient where it supports the work you need to do. Your organisation’s rules on approved tools and information use always apply.
Employment is not required. Consulting, freelance, entrepreneurial, nonprofit and other genuine accountable work can qualify. A purely fictional classroom case cannot satisfy the real-work requirement.
What Your Chosen Domains Require
Because CAIDA is applied to real work, each domain needs something concrete to work on:
- Research & Knowledge: documents or sources you are permitted to work with
- Analytics: a real dataset you are authorised to use, or an appropriate sanitised extract
- Problem Solving & Decision Making: a live problem or decision you own or materially influence
- Influence & High-Stakes Communication: a genuine upcoming communication for an identifiable audience
- Workflow & Productivity Systems: a recurring workflow that will actually run during the batch
- Business Applications: a real user, authorised data and a suitable platform in which to build
For example, Analytics explicitly requires access to a real authorised dataset and, where restricted, a sanitised or representative extract identified before Week 1. CAIDA Domain Application Spec 2… Business Applications requires real use by another person and a build platform beyond the AI tool. CAIDA – 25th October 2026
You Choose Your Domains After Foundation
You enrol in CAIDA, not in individual domains.
After enrolment, the Diagnostic proposes a provisional pair of domains, plus one more worth considering. After Foundation, you confirm or change your two domains before application begins.
Recommended Prior Courses (if applicable)
None required — Foundation assumes nothing.
Methodology & Engagement
Interactive Components (Practice projects, Case studies, Quizzes)
-
- Live demonstrations and cross-domain cases: see the Eight Direction Abilities applied to different kinds of professional work.
- Application on your own work: develop one substantial application in each of your two confirmed domains through four staged Direction Records.
- Live critique: selected anonymised participant records are examined with the batch, so you learn from work across different domains.
- Individual feedback: every submission receives a trainer check, and every participant receives detailed feedback on at least one submission in each confirmed domain.
- Real-work capstones and live vivas: your capstone is pre-evaluated by the trainer and confirmed through a mandatory live viva.
- Reusable Skills: convert successful AI Direction into reusable capability. At least one Skill must be successfully cold-run by another person.
- Foundation knowledge check: confirm your understanding of DIRECT AI and Responsible Direction before progressing through the program.
Support Services (Forums, Technical Support, Post-training guidance)
- Trainer guidance: receive feedback and coaching as you develop your applications and capstones.
- AI tool guidance: work in ChatGPT, Claude, Gemini, Copilot or another suitable generative-AI tool available to you and permitted by your organisation.
- CAIDA Academy: access your submissions, feedback, learning materials, assessment records and credential information in one place.
- Peer and alumni access: learn alongside professionals from different functions and industries, with continuing access to the alumni community and open clinics after certification.
- Session recovery: live participation is central to CAIDA. One common-core session may be recovered through the approved recording if unavoidable; Foundation and required domain-specific sessions remain live-only.
- Continuing access: retain completed materials, open-clinic access and credential verification after the program.
Certification & Career Advancement
Certification Earned
You earn the Certified AI Direction Architect (CAIDA) credential after demonstrating the required standard in two domains.
The credential requires:
- completion of the nine-question Diagnostic;
- a passed Foundation assessment;
- required live attendance, subject to the published recovery rules;
- a Demonstrated capstone and mandatory live viva in each of two domains;
- authentic, accountable real-world use in at least one capstone;
- at least one reusable Skill successfully cold-run by another person;
- no unresolved Responsible Direction, authenticity or verification concern.
Once awarded, you hold the designation Certified AI Direction Architect.
Value to Employers (Efficiency, Cost Reduction, Quality Improvement)
CAIDA is designed to create value through better-directed AI use in real work. The actual impact depends on the work selected, the tools available and the organisation’s operating conditions.
Operational Efficiency
Participants may use CAIDA to:
- reduce effort in recurring work such as reporting, review preparation, meeting follow-through and routine analysis;
- shorten selected research, analysis and drafting cycles while retaining validation;
- standardise successful approaches through reusable AI Skills;
- redesign recurring workflows with clear ownership, exception handling and measurement.
Where the Workflow domain is chosen, improvement is measured against the participant’s own baseline rather than a claimed average.
Cost Reduction
Potential cost benefits may come from:
- using an existing suitable AI platform rather than being tied to a specific provider;
- reducing avoidable rework through clearer intent, better evidence and earlier validation;
- turning successful approaches into reusable Skills that others can run;
- building bounded internal tools in the Business Applications domain where that is appropriate.
A free AI plan may be sufficient for some work, but CAIDA does not promise that no additional licence or platform will ever be needed. Business Applications normally requires a separate build platform.
Quality Improvement
CAIDA develops practices such as:
- research with material claims traceable to evidence;
- reproducible analysis with independently checked calculations;
- decisions with assumptions, alternatives and challenges made visible;
- communication checked for factual accuracy, audience fit and reputational risk;
- human ownership of consequential decisions;
- explicit limits on when an AI-assisted result should not be used.
Responsible Direction is non-compensable: a capstone that crosses a red line cannot pass until the issue is satisfactorily corrected.
These are built into the assessment standard rather than treated as optional good practice.
Career Goals (Roles you can aim for post-certification)
CAIDA does not qualify you for a single new occupation. Certified AI Direction Architect is a business capability that can be practised within many professional roles, rather than a technical job title.
The capability can be relevant to career directions involving:
- AI adoption and transformation;
- business analysis and decision support;
- operational excellence and process improvement;
- research and insights;
- workflow and productivity improvement;
- internal consulting;
- functional leadership;
- responsible AI enablement and capability development.
Examples may include roles such as AI Adoption Lead, Digital Transformation Lead, Business Analyst, Decision Support Specialist, Operational Excellence Leader, Process Improvement Manager, Internal Consultant, Research & Insights Lead, or Team AI Capability Lead, depending on the person’s prior experience and organisational context.
CAIDA strengthens the ability to direct and apply AI in such work. It does not by itself guarantee a new role, promotion or employment outcome.
Course Pathways & Bundles
Bundled Programs (Packages or pathways that include this course)
Suggested Sequence
-
-
- See CAIDA in action, if you wish. Join the optional Free Live Awareness Session to see the method demonstrated before you enrol.
- Enrol in CAIDA. Choose a Saturday or Sunday batch. You enrol in the program, not in individual domains.
- Complete your Diagnostic. Nine questions about your work produce your personal AI Direction Report and a provisional pair of domains, plus one more worth considering.
- Attend Foundation and confirm your domains. Foundation introduces DIRECT AI, Responsible Direction and all six domains. You then confirm or change your two domains before application begins. This sequence is canonical: enrolment comes first, then Diagnostic, Foundation and final domain confirmation.
- Apply CAIDA to your own work. Complete the four live core sessions while developing real applications in both confirmed domains, followed by your capstones and mandatory live vivas.
- Earn the CAIDA credential. Once both domains and all credential requirements are demonstrated, you become a Certified AI Direction Architect.
- Add domains later if useful. Additional domains are completed through a later running CAIDA batch and added to the same credential, extending your demonstrated scope.
Related Pathways
CAIDA and CAISA
If your objective is to design and build AI solutions for other people or for an organisation, CAISA – Certified AI Solution Architect is the peer credential. It is a different craft, not a higher level of CAIDA.CAIDA and Lean Six Sigma
For Lean Six Sigma and Business Excellence professionals, CAIDA can complement existing improvement capability by adding structured AI Direction to real work. The Problem Solving & Decision Making domain is particularly relevant where the work involves problem framing, evidence, alternatives, trade-offs and decisions.
-
Return on Investment & Practicalities
Return on Investment (Salary increase potential, Recognition)
Build Capability While Working on Work You Already Have
CAIDA is designed around a six-week batch for working professionals. Your expected total commitment is approximately:
- 25–33 hours with two standard domains;
- 27–35 hours if one domain is Analytics;
- 30–40 hours if one domain is Business Applications.
These ranges include live sessions and application work. They are current planning estimates and are being validated against the first batches.
Much of that application time is spent on your own genuine work rather than separate classroom exercises. Your assessed applications may become research, analysis, decisions, communications, redesigned workflows or working business tools that you actually need.
Recognition Backed by Demonstrated Work
CAIDA is not awarded for attendance alone.
Your credential records the domains in which you have demonstrated AI Direction capability. Public verification shows those completed domains and dates, and the certificate links to the authoritative online record through its QR code.
The designation Certified AI Direction Architect therefore represents assessed application in real work, not simply completion of an AI course.
Potential Value During the Program
Depending on your domains and the work you choose, CAIDA can help you aim to:
- reduce effort in recurring work and measure the before-and-after where appropriate;
- produce research and analysis that can withstand scrutiny;
- strengthen decisions through explicit evidence, alternatives and challenge;
- improve high-stakes communication;
- redesign a recurring workflow and run it in practice;
- build and hand over a bounded business tool for real use.
These are potential workplace benefits, not guaranteed financial or career outcomes. The canonical standard specifically requires productivity, time-saving, promotion, employability, income and business-impact claims to be presented as potential rather than assured results.
Before You Enrol
Calendar: Sunday batch
- Sun 25 Oct: Foundation, 2:30–3:30 PM IST, followed by Week 1, 3:30–5:30 PM IST
- Tue 27 Oct: Analytics primer, 7:30 PM IST, if you confirm Analytics
- Sun 1 Nov: Week 2
- Sun 8 Nov: No session
- Sun 15 Nov: Week 3
- Sun 22 Nov: Week 4
- Sun 29 Nov and Sun 6 Dec: Weeks 5–6, completion and vivas; Business Applications build labs
Next Saturday batch: Foundation and Week 1 begin 21 Nov 2026.
Your commitment. Expect approximately 25–33 hours with two standard domains, 27–35 hours with Analytics, or 30–40 hours with Business Applications. These estimates include both live sessions and your own application work and are being validated against the first batches. The curriculum specifically requires the product page to show realistic total commitment, not merely classroom hours.
Domain choice. You enrol in CAIDA, not in individual domains. After enrolment, your Diagnostic proposes a provisional pair. You confirm or change your two domains after Foundation. If suitable work for two domains is not available during the batch, the application component can be deferred without penalty.
Fees.
- Standard CAIDA enrolment: INR 52,700 + GST
- Business Applications supplement: INR 15,500 + GST, payable only if you confirm that domain after Foundation
- One free transfer to a later batch is permitted
The Business Applications supplement is separate because that pathway includes two additional live build labs.
Live attendance. Foundation is live-only. Of the four common-core sessions, one may be recovered through the approved recording if unavoidably missed. Required domain-specific sessions follow their published rollover rules.
Certification is by demonstration. Completing the sessions does not automatically earn CAIDA. Each of your two domains must meet the required assessment standard. A capstone may be assessed Not Yet Demonstrated, with an included resubmission route.
Business Applications. This pathway uses Weeks 5–6 for live build labs rather than the standard completion period. Its capstone is due at the end of Week 6 and the viva follows shortly afterwards.
Analytics and Business Applications sessions. The Analytics primer and Business Applications build labs are live requirements and cannot be recovered through recordings.
Capacity. Enrolment is capacity-limited because CAIDA includes individual feedback, coaching and live assessment.
Platform requirement. Most domains require only a suitable generative-AI tool. Business Applications normally also requires a separate platform in which to build.
Capacity Limits
Capacity is limited because every participant receives individual feedback, coaching, offline capstone pre-evaluation and a mandatory live viva. Enrolment in a batch may close before it looks full, depending on the mix of domains confirmed, so enrol early to secure the next batch rather than the one after.
PDUs
26
Learning Pathways
Find out your ideal curriculum based on your current position and growth path.
Worldwide Certificate
Obtain your Exemplar Global certificate upon completion of your course and join 5,000+ others that have come before you.
No certificate image set. Add one via the certificate_image ACF field.
No feedback found for this category.
Chat with our AI Assistant
Is this course for you? What are the main differentiators? What does it include? Get the answers you need, instantly:
Frequently Asked Questions
CAIDA or CAISA: Directing AI vs Building AI Solutions
Then you may want CAISA — the Certified AI Solution Architect. It is a peer credential, a different craft, not a higher rank. Some people take one, some take both, and the order between them is not fixed.
The distinction is not “does it involve AI.” CAIDA includes a domain where you build working tools — Business Applications — so the line isn’t drawn at whether you build. It’s drawn at what the thing you build has to survive.
Four conditions define the boundary. Work stays in CAIDA scope when all four hold:
- it is buildable and maintainable by one participant
- its users are named individuals, not an open population
- it is safe without a governance artefact — no formal sign-off, policy or control framework required before it runs
- manual fallback can be restored by the participant if it stops working
Fail any one of these and the work belongs in CAISA. A tracker three named colleagues use, which you could replace with a spreadsheet tomorrow, is CAIDA. A system your department depends on, which needs a data-protection review and which nobody can restore by hand, is CAISA — the same underlying technology, a different discipline of accountability.
The presence of AI inside the tool at runtime is expressly not the boundary. A tool that calls a model is not automatically architecture, and a tool that doesn’t is not automatically simple. Scale, ownership, governance and fallback are what decide it.
Which suggests where you’ll land. If your instinct on hearing “build” is a system other teams will depend on, with an owner, a review and an escalation path, that’s CAISA. If it’s a working tool that removes a weekly irritation for people you can name, that’s CAIDA — and Business Applications is where it lives.
Neither replaces the other. Every architect still directs AI daily — framing, validating, deciding what to hand over and what to keep. Direction is the universal capability between merely using AI and architecting it, and it doesn’t stop mattering because someone’s title changes. If you’re drawn to both, CAIDA is usually the more natural first step, because it is the discipline you will use on the days you are not architecting anything.
Do the AI Tools Change? What Stays Valid
The tools will change. The abilities won’t. That asymmetry is the reason the program is built the way it is.
Nothing here is tied to a tool. You work in a leading LLM — ChatGPT, Claude, Gemini or Copilot — but what’s taught and assessed sits above all of them: deciding what to delegate, framing the outcome, supplying the right context, choosing the route, steering, validating before relying, landing the result, capturing what worked. Those eight abilities describe how a person directs work. Nothing in them depends on a menu, a feature, or a model number.
A new model doesn’t change the questions. When a more capable model arrives, you still have to decide what to hand it, define what good means, supply authorised context, and earn the right to rely on the output. More capable tools tend to make direction more consequential, not less — a confident wrong answer produced faster is a bigger problem, not a smaller one.
Your reusable Skills survive the churn too. A Skill is a capability package, not a saved prompt — purpose, inputs, direction steps, decision rules, validation checks. It’s tool-agnostic by definition, so the same package can be re-implemented as a Claude Skill, a Custom GPT, a Copilot setup or a documented procedure without rewriting the thinking behind it.
The credential has lifetime validity, and there’s a live record alongside it. The certificate permanently records what you demonstrated and when. Separately, your online record shows current-practice status: Current, Update Available during the six-month window after a material update is released, or Practice Update Overdue if that window passes. When the standard materially changes, CAIDA releases a Practice Update and you have six months to complete it. Every certificate carries a QR code to that live record.
Your credential stays valid throughout. The status reports currency of practice, not validity — those are two different things, and conflating them is what makes most certifications quietly worthless three years on.
And guidance doesn’t stop at certification. A monthly open clinic stays open to you as an alumnus, and it’s where new tool capabilities get translated into direction practice as they arrive. The abilities are permanent; the vehicles keep improving.
What You Walk Away With: Deliverables, Skills, Credential
Three things, in descending order of how much they’ll matter to you: real deliverables already applied in your work, reusable Skills your colleagues can run, and a credential that records what you demonstrated.
Deliverables from your own job. Not exercises. Every capstone is real work taken to its real point of use, so what you finish with depends on which domains you chose:
- an evidence-backed research brief, with material claims traced to source
- a reproducible analysis and a decision-ready insight product, independently validated
- a decision record that survives scrutiny — options, criteria, adversarial challenge, ownership
- a high-stakes communication, delivered and reviewed by its intended recipient
- a redesigned recurring workflow, run in practice with a measured before-and-after
- a bounded working tool that at least one other person uses to complete a real task
You produce the two that match your domains, not all six. Because they’re real, your manager and stakeholders can see them while the program is still running.
Named, reusable Skills. Not saved prompts — structured capability packages: purpose and intended user, required inputs and context, the direction steps, decision rules and human approval points, validation checks, worked examples, an owner and a version. They’re tool-agnostic by definition, so the same package can live as a Claude Skill, a Custom GPT, a Copilot setup, or a documented procedure. At least one must have been successfully run by someone other than you, from your written instructions, without you standing beside them. That’s the test that turns personal capability into team capability.
The credential. The Certificate in AI Direction and Application, accredited by Exemplar Global, part of the ASQ family. You become a CAIDA Professional. It has lifetime validity, and every certificate carries a QR code to a live record showing which domains you demonstrated and when. One credential, progressively updated — further domains are added under the same permanent ID, and all six adds CAIDA Complete.
And the thing that outlasts all three. The eight Direction Abilities transfer across every role, every domain, and every tool generation. Tools churn quarterly. What you learn here doesn’t expire with the next model release.
What any of this is worth inside your organisation depends on the work you point it at.
Not Yet Demonstrated: What Happens and What Comes Next
You receive specific feedback naming the abilities or evidence that fell short, and one resubmission — included, normally within 14 days. It is a recoverable outcome, and it is a real one.
Not Yet Demonstrated means not yet. It is not a fail in the sense of a door closing. It names a gap: one or more of the eight abilities didn’t reach the standard, the domain’s real-use requirement wasn’t met, the evidence couldn’t be verified, or a Responsible Direction concern is unresolved. The feedback tells you which — not a score, but the specific thing that was missing.
There is a third outcome, and it is the most common near-miss. Pending Clarification means the work may well meet the standard but something needs establishing before that can be judged — usually evidence that wasn’t included or a step in your reasoning that wasn’t visible. It is often resolved in a short exchange rather than a resubmission.
The resubmission is included in your fee. Not an extra charge, not a repeat of the domain. You are strengthening the same piece of work, usually in a defined area, with the gap already named for you.
If you disagree with the judgement, there is a route. Your assessor first explains the rubric decision. If that doesn’t resolve it, a second calibrated assessor independently reviews the submission, the viva record and the rubric. Impartial review is a guarantee, not a favour.
Why the program is built this way. A capstone everyone passes proves nothing. If Not Yet Demonstrated were impossible, Demonstrated would be worth nothing to the person who earns it or the employer reading it. The standard has to be capable of not being met, or it isn’t a standard.
Most people who receive it are close. The trail is usually sound and one ability is thin — validation that checked the wrong thing, a result that never reached its real point of use, a Skill that nobody else could run. Those are fixable, and fixing them is where a good deal of the learning actually happens.
Confidential Work: What You Submit and What Stays Private
Yes, and the program is designed for it. Every capstone is real work from a real job, which means confidentiality was a design constraint from the start rather than an exception to be handled case by case.
You submit the minimum evidence needed for assessment — no more. What’s being assessed is the direction trail: how you framed the work, what context you supplied, what you validated, what you’d do differently. That trail is usually demonstrable without exposing the underlying material.
Confidential data may be redacted, masked, or replaced with a verifiable description. A figure can become “a variance of roughly this magnitude against a monthly baseline.” A client can become “a mid-size manufacturer in the same sector.” What matters for assessment is that the claim can be checked as a claim, not that the assessor can see the raw record.
Some things must never be uploaded at all. Raw sensitive datasets, credentials, and restricted client material. This is not a preference — unauthorised information use is one of the six Responsible Direction red lines, and a capstone that crosses one cannot pass until it is corrected, whatever the scores elsewhere.
Vivas never require confidential information to be shown to the batch. Where sensitive evidence needs examining, it moves to a private conversation with your assessor. The same applies to live critique sessions: records are anonymised, the trainer names the ability under discussion rather than the author, and workplace content is not displayed without your consent.
You keep ownership of your work throughout. Nothing identifiable is used in teaching or marketing without your explicit permission. Where an anonymised example appears in a demonstration, it appears because someone agreed to it.
A practical note on tools. The program doesn’t mandate an AI provider or supply licences — you work in a tool you already have access to, and your organisation’s approved-tool rules always apply. Deciding that a particular piece of work should not go near AI at all is itself an act of direction, and it is assessed as such.
If your work is sensitive enough that you’re unsure what would qualify, that conversation is worth having before you enrol rather than after.
Time Commitment: Hours, Weeks and Weekend Sessions
About three hours a week while a domain is running — one two-hour live session at the weekend, plus roughly an hour applied to work you were going to do anyway.
Per domain. One two-hour live online session per week. Four domains run four weeks and come to 12–14 hours in total. Analytics runs five, opening with a primer week, and comes to 14–16. Business Applications runs six, with two build labs, and comes to 18–20. All six share the same four-week arc of demonstrate, critique, stretch and confirm — only the weeks wrapped around it differ.
For the credential. Foundation plus two domains is roughly 26–36 hours depending which two, typically across two to three months. Taken in parallel, the fastest route is about four to five weeks for two four-week domains, five where Analytics is one of them, six where Business Applications is. Parallel study is permitted after Foundation, and you accept the combined workload of the two.
Foundation is one hour. A live online session at a scheduled time, normally one to two days before your first domain, plus about 25–45 minutes for its two-part assessment. Miss the session and a complete recording is available — but the recording replaces attendance only, never the assessment.
The between-session hour is the part worth understanding. It is not coursework. Every application task is a real deliverable from your own job, submitted as a structured Direction Record 48 hours before the next session. You are directing AI on work that was already on your desk — a brief you owed someone, an analysis that was due, a message you had to send. The hour is spent doing that work differently, not doing extra work. Your homework is your work.
The final week of each domain asks for a little more — one to three hours consolidating and preparing your capstone, which is due 72 hours before that session so your trainer can pre-evaluate it offline.
What it does not require. No career break. No technical retraining. No separate study material to find time for. Sessions run at the weekend precisely so that the working week absorbs the application rather than competing with it.
Choosing Domains: How Many and Which Ones
Two domains earn the credential. How many you actually take is a judgment about your role, not a target the program sets.
There are six, and they are peers. Research & Knowledge · Analytics · Problem Solving & Decision Making · Influence & High-Stakes Communication · Workflow & Productivity Systems · Business Applications. No core, no electives, no prerequisites, no fixed order. Take any two, in either order, or two in parallel.
Your free nine-question diagnostic recommends where to start. It asks about your work — not about AI — and your personal AI Direction Report identifies the two or three domains where directed AI is most likely to give you leverage first, explained in your own words and drawn from your own answers. Each recommendation is tiered: Best fit now, Best fit soon, or Possible fit. It is developmental guidance, not a competence measure, and the choice stays yours.
Why two, and not one. The eight Direction Abilities are the same in every domain. What differs is how the work goes wrong. Research fails as a plausible synthesis nobody traced. Analytics fails as a method that cannot support the claim made of it. Communication fails as fluency mistaken for argument. Workflow fails as waste automated rather than removed. Learning to validate a research brief does not teach you to notice when your own decision criteria were written after the choice. The ability is the same; the way of being wrong is not — which is why one domain demonstrates a competence and two demonstrate a discipline.
Why more than two, for some people. A consultant researches, analyses, and then has to persuade someone. An operations lead whose recurring work also needs a small shared tool spans two domains before starting. Each further domain is added to the same credential, under the same permanent ID, with earlier achievements intact. Some take two and add more as their role evolves; others commit to all six at enrolment as CAIDA Complete. Both are ordinary routes — more domains means wider, not higher.
They are not all the same length. Four run four weeks. Analytics runs five, opening with a primer week. Business Applications runs six, with two build labs. All six share the same four-week arc.
Capstone Assessment: How CAIDA Is Judged
Attendance earns nothing. The credential is granted only on demonstrated work, and a capstone can come back Not Yet Demonstrated — which is exactly why passing means something.
What gets assessed is your own work. Every domain ends in a capstone that is a real deliverable from your job: a live research question, a real dataset, a decision you own, a communication you must deliver, a workflow you actually run, or a tool your team needs. Nothing is simulated. And what’s examined isn’t only the artifact — it’s the direction trail behind it: what you delegated, how you framed it, what context you supplied, what you validated before relying on it. A polished artifact by itself proves nothing.
Every capstone is scored on the same eight abilities. Delegate, Frame, Context, Plan, Steer, Validate, Land, Capture — each rated independently on a four-level scale: 0 Not evidenced, 1 Developing, 2 Demonstrated, 3 Strong. All eight must reach at least Demonstrated. A weak ability is never averaged away against strong ones; a 0 or 1 anywhere triggers clarification, guidance or resubmission.
Three further conditions have to hold, and none of them can be satisfied by good writing: the domain’s real-use requirement is met, the evidence is authentic and verifiable, and no Responsible Direction red line is left unresolved. A capstone that crosses a red line cannot pass until the issue is corrected, whatever the scores elsewhere.
A human decides, always. Your capstone is pre-evaluated offline by your trainer, then confirmed in a mandatory live viva. AI may help summarise; it cannot pass or fail anything. Trainers complete CAIDA onboarding, work from common rubrics, and calibrate against shared anchor exemplars so the standard holds across batches. Every viva asks a question that is hard to prepare for: when should this result not be used?
And the credential needs more than two passed capstones. At least one must be in actual workplace use, and at least one reusable Skill must have been successfully run by someone other than you, from your written instructions, without you standing beside them. That last test is the sharpest one — it is where capability stops being personal and becomes transferable.
Do I need a technical background, or prior experience with AI?
No to both. AI direction is a business capability, not a technical one — it belongs to anyone who understands their own work deeply and has real work to point AI at.
The diagnostic that starts your journey asks nine questions about your work. Not one of them mentions AI. That is deliberate: what makes someone good at directing AI is judgment about their own domain, not familiarity with any tool. Foundation assumes no prior experience, and concepts are explained through your own work examples rather than jargon.
Whatever your current AI habit is — daily user or complete beginner — it is a starting point, not a requirement. An existing ChatGPT habit is not a shortcoming, and it is not a head start either. Extraction can be trained into direction.
What you do need is three things:
Basic digital fluency. No coding, no programming, no technical AI background.
Access to one suitable generative-AI tool. ChatGPT, Claude, Copilot, Gemini or another — a free plan is often enough. The program doesn’t mandate a provider or include commercial AI licences, and your organisation’s approved-tool rules always apply. Your coursework and submissions live in the CAIDA Academy, which runs in the browser with nothing to install.
Genuine work you are accountable for. Every assignment and capstone is a real deliverable from your own job. Employed, consulting, freelance, entrepreneurial and nonprofit work all qualify. A fictional case study does not — at least one capstone must show real workplace use, which is the one requirement that cannot be met by someone with nothing real to point the method at.
That last condition is the only genuine barrier, and it has nothing to do with technical skill.
AI Direction: What It Is and What It Isn’t
Using AI well is about getting a good answer. Directing AI is about being able to stand behind one.
Most professionals who use AI are doing extraction: ask, read, take what looks useful. It works, and it’s a genuine starting point. What it doesn’t produce is work you’d sign your name to in front of someone who will act on it — because nothing in that loop establishes what “good” meant before you started, what the AI was and wasn’t given, or what was checked before you relied on the result.
Direction is the discipline that fills those gaps. It runs through eight abilities: Delegate (decide what AI should and should not do, while ownership stays with you), Frame (define the job, the intended user, and what good means), Context (supply the smallest sufficient set of authorised evidence and boundaries), Plan (choose and sequence the route), Steer (diagnose, redirect, know when to stop), Validate (earn the right to rely on the result), Land (make it useful at its real point of application), and Capture (make it repeatable by someone else).
Three consequences worth being clear about:
Better prompts are a by-product, not the point. Prompting is one small mechanic inside the loop. CAIDA rewards directing well, not directing more — one tool and three well-framed instructions can outscore an elaborate workflow.
It isn’t technical. No code, no building. What it demands is judgment about your own work, which is why domain expertise becomes more valuable when paired with directed AI, not less.
Accountability never transfers to the tool. Every output you use carries your name. Deciding not to use AI for part of the work is itself an act of direction.
The nearest analogy is a film director, who neither acts nor operates the camera — yet the film is unmistakably theirs.
I am only interested in in-person training. Do you offer only online sessions?
There are risks of distraction in online training, but for a focused person, there are several advantages as well.
- Most people find it challenging to concentrate for 8 hours a day, so online training is conducted in smaller sessions.
- Asking questions on chat is easy without disrupting the training.
- Trainer and screen visibility is always great in online training.
- Participants can share screens and solve their doubts.
- If you miss a session, you can review a recording.
- You save travel time. You are also safeguarded from other risks related to traffic and health.
- Batches are frequent, and you will easily find one that suits your schedule.
- Offline training will cost more than double online training, even if we do it later.
- Times have changed fast, and we have perfected the online delivery. We have hundreds of satisfied participants who feel that our online sessions were equally or more engaging than offline sessions. Many of them were amazed to experience such an engaging and interactive online session.
How does Benchmark Six Sigma differentiate itself from other training providers?
How Benchmark Six Sigma stands apart
Globally aligned certification standards
Application-driven training methodology
Decades of practitioner-led expertise
Proven outcomes through testimonials
Large, engaged professional network
Are all professional training providers equally qualified?
Not necessarily.
Authorization to train is important, but real capability development depends on:
- Practitioner depth
- Industry relevance
- Learning design quality
- Post-training support
- Real-world application focus
Choose a provider based on outcomes, not just credentials.
Once enrolled in a batch, can I switch to a different batch if I face an unforeseen situation?
Yes, a batch change may be considered in the event of a genuine and unforeseen situation.
That said, batches are carefully planned to ensure learning continuity, group interaction, and effective facilitation. Therefore, batch transfers are not routine and are supported only in exceptional circumstances. If such a situation arises, participants are encouraged to inform the team at the earliest so that the request can be reviewed and guidance provided.
What is the value of the Exemplar Global certificate compared to other institutes?
Exemplar Global was formerly known as RABQSA. RABQSA was established in 1991 and has over three decades of history in setting and governing professional certification standards.
This long-standing legacy, combined with its evolution into Exemplar Global, reflects the organisation’s sustained focus on credibility, rigor, and global recognition in professional certification.
How can I learn more about Exemplar Global? How do I confirm that it is part of the ASQ family?
Please refer to http://www.exemplarglobal.org/who-we-are/
Where will the course material be available?
All materials, quizzes, case studies, and practice links are available in our online academy after enrollment. Access to the online academy is available for one year.
Is a laptop required during the training?
A laptop is highly recommended for all training programs, as the sessions are interactive and include hands-on exercises, live demonstrations, and guided practice.
Participants are expected to actively work along during the sessions, which is best supported on a laptop or desktop computer. If you plan to use a company-issued device, please ensure you have the necessary access rights to install or use required applications and tools during the program.
While it may be possible to attend certain parts of the session without a laptop, the overall learning experience and practical value are significantly enhanced when you have a laptop available throughout the training.
Where can I get the payment link? How can I enrol?
You can enrol directly from the course page. Once you are on the product page, select the available batch (where batches are announced) and add the course to your cart.
You can then proceed to make the payment online. Upon successful payment, you will receive instant confirmation along with an enrolment email that includes all the relevant details for your course.
If you need any assistance before completing your enrolment, you may reach out to the team for guidance.
Can I speak to someone before registration?
Yes, please suggest your preferred time and mode of contact using our contact form and we shall get in touch with you. Alternatively, you can contact us by WhatsApp or phone call at +91 9811370943





















