AI Governance & Board Readiness
WORKSHOPS · 01 · HALF-DAY COURSE
WORKSHOPS · 01 · HALF-DAY COURSE
AI Governance & Board Readiness
A four-hour session for executives who approve AI budgets, sign off on AI projects, and answer to boards and regulators. Participants leave with a scored readiness report, a governance checklist, and a Return on Employee worksheet built for their own organisation.
You leave with
- Readiness baseline
- Delegation map
- Governance checklist
- 12-week roadmap
Duration
4 hours, single session
Format
In-person or virtual
Cohort size
Max 30 participants
Requires
One AI use case, real or planned
Facilitator credentials
RMC, ISO/IEC 42001 Lead Auditor, Certified AI Governance Professional (AIGP)
Worked with
IMDA, UN ESCAP, CDO Vision Singapore
CPD / CPE hours
4 CPD hours
Certificate on completion
Certificate of Completion, Praxora Lab
Overview
Board governance is now a regulatory expectation, not a best practice
AI governance has moved from advisory good practice to enforceable expectation. The EU AI Act's Article 12 imposes explicit automated record-keeping obligations on high-risk AI systems, and ISO/IEC 42001:2023 has emerged as the reference management-system standard auditors and regulators increasingly benchmark an organisation's AI governance maturity against. Yet the gap between expectation and readiness sits at the top: sixty-six percent of boards report minimal hands-on AI experience, and PwC's 2025 Annual Corporate Directors Survey found fifty-five percent of directors think at least one fellow board member should be replaced, the highest figure PwC has recorded on that question. A board asked to sign off on an AI deployment it does not understand is not a hypothetical risk; it is the median board today.
This course exists because that gap does not close with a slide deck. Terence Kok built the Return on Employee framework and the three-level delegation model while leading Meinhardt Group's global AI Centre of Excellence and its enterprise AI governance framework across Asia and the Middle East, then applied the same discipline to Orion Five's AI Governance & Assurance Practice. Participants leave with a governance checklist scored against the same criteria an IMDA- or EU AI Act-aligned reviewer will actually apply, not a generic maturity report, built to survive the sceptical question a regulator, not a vendor demo, will eventually ask.
Why Praxora
Why this, not a platform
A governance checklist you'll use, not a maturity report you'll file.
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Practitioner-led, not faculty-assigned
Terence Kok, RMC, ISO/IEC 42001 Lead Auditor and Certified AI Governance Professional (AIGP), teaches this course because he built the frameworks in it.
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A named framework, not a licensed template
Built on the TRACE framework and the three-level delegation model, developed for this course, not reused from a generic curriculum.
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One real, produced output — not a case study
Every session ends with a scored readiness baseline, a delegation map and a governance checklist for the use case you actually bring in.
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A small, capped cohort
Max 30 participants, so the room works from real use cases, not a lecture hall.
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Built on institutions that already trust it
Built from work with IMDA, UN ESCAP and CDO Vision Singapore, and benchmarked against NIST's own AI Risk Management Framework.
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One focused session — not an 18-week course
4 hours, one session. No cohort waitlist, no months of drip-fed modules.
The gap
Two numbers explain why boards can't sign off on AI yet
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66%
of boards report minimal hands-on AI experience (Deloitte, 2025)
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55%
of directors say at least one fellow board member should be replaced — the highest PwC has recorded (PwC, 2025)
Independent research from 2026 points to the same three concerns among executives: whether the organisation is ready to use AI, how to govern AI agents operating with less human oversight, and how to prove an AI programme is worth the money three years in. This course addresses all three in one half-day session rather than three separate ones, using frameworks already taught to companies and governments: five parts of the Eight-Dimension AI Readiness Assessment from Terence Kok's book AI at Scale: Strategy, Production, and the Human-AI Workforce, the TRACE framework for delegation decisions, and the Return on Employee measurement method.
- Eight-Dimension AI Readiness Assessment
- TRACE Delegation Framework
- Return on Employee (RoE)
Key takeaways
What participants leave with
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A scored AI governance readiness baseline across data, process, governance, skills and measurement.
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A three-level delegation map showing which decisions AI can make unsupervised, which need a human check, and which stay fully human, for one live use case.
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A completed governance checklist that answers the four questions an IMDA- or EU AI Act-aligned reviewer will actually ask.
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A twelve-week improvement roadmap, ordered by impact and reversibility, plus a Return on Employee worksheet to measure the outcome properly.
See a full sample of these documents › Filled out for a fictional company, so you can judge the format before enquiring.
Objective
Evaluate an organisation's AI governance posture against IMDA- and NIST-aligned criteria, and construct a board-ready governance checklist and twelve-week roadmap for one live use case.
Participants bring one AI use case, real or planned, and state the task, the data involved and who makes the final decision. The session runs the TRACE framework and the three-level delegation model against that use case directly.
Why this course
Before I built AI governance frameworks, I built things people occupy: the operations centre inside a 1,540-hectare smart city in Oman, the technology strategy behind NEOM's Oxagon and a two-kilometre vertical city under construction in Riyadh, the diagnostic that helped Saudi Arabia's Public Investment Fund prioritise more than US$60 billion in infrastructure investment. What twenty-five years of programmes across Singapore, the Gulf and South Asia taught me is the same lesson at every scale: you do not deploy a capability you cannot account for. As Chief AI and Innovation Officer at Meinhardt Group, I watched too many AI programmes get waved through on the strength of a demo, then quietly stall a year later because nobody could say who was accountable when the system got something wrong. This course exists because I built the Return on Employee framework after watching one too many business cases justify an AI investment purely by the headcount it would remove, and I could not square that with what I actually saw happen to the people still in the room afterward.
This is not the course I enjoy teaching the most. It is the one I think matters most, because a scored readiness baseline and a governance checklist are unglamorous compared to what a generative AI demo can do in five minutes on a stage. But every deployment I have seen actually survive contact with production, the RAG platform I delivered at Meinhardt that now serves more than six thousand engineers with zero security incidents included, survived because someone did the unglamorous work first. That is the same discipline I now lead full-time as Executive Director of Orion Five's AI Governance & Assurance Practice: building the audit trail and delegation structure before the deployment, not after the incident. If you leave this room with one governance checklist you actually use, on one real use case, I will have done my job.
Syllabus
Six segments across four hours
Left with a scored readiness baseline, a three-level delegation map, a Return on Employee worksheet and a governance checklist, built for a named use case brought into the room, not a generic maturity report.
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15 min
Framing and objectives
The group states the AI already in use, the questions the board is asking, and what today needs to produce.
- One live AI use case named in the room, not a hypothetical
- The task, the data involved and who makes the final decision, stated up front
- What the board is already asking, versus what it should be asking
OutputSession objective statement
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45 min
The readiness constraint
A live check across five areas, data, process, governance, team skills and measurement, to find the one constraint holding the organisation back before any tool or vendor is discussed.
- A live scoring pass across five areas: data, process, governance, team skills, measurement
- Finding the one constraint actually holding deployment back
- Benchmarking against the same criteria IMDA guidance and NIST's AI Risk Management Framework apply
OutputScored readiness baseline
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45 min
Governing agentic AI systems
The TRACE framework for judging whether a task is right for AI, the three-level delegation model, audit trails and escalation steps, and the shift from a person in every loop to a person watching over the loop.
- The TRACE framework: a structured test for whether a task is actually right for AI
- The three-level delegation model, unsupervised, human-checked, fully human, applied to a live use case
- Audit trails and escalation steps for agents operating with less direct oversight
- The shift from a person in every loop to a person watching over the loop
OutputDelegation tier map for one live use case
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15 min
Break
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45 min
Measuring AI ROI
Separating model performance from business outcome, the Return on Employee framework as an alternative to a headcount-reduction case, and the baseline measurement step most programmes skip.
- Separating model performance from actual business outcome
- The Return on Employee framework, built as an alternative to a headcount-reduction case
- The baseline measurement step most AI programmes skip entirely
OutputRoE calculation worksheet
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45 min
Four governance questions, applied
IMDA and EU AI Act requirements translated into four questions every decision-maker must be able to answer, applied to a real use case each participant brings.
- IMDA and EU AI Act requirements, translated into four plain-language questions
- Applied directly to the use case each participant brought into the room
- What a board member, not a compliance officer, needs to be able to answer
OutputCompleted governance checklist
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30 min
Roadmap and close
The scorecard, delegation map, RoE worksheet and governance checklist are brought together into one twelve-week plan, ordered by impact and reversibility.
- The scorecard, delegation map, RoE worksheet and governance checklist, brought into one document
- A twelve-week improvement plan, sequenced by impact and reversibility
- The single governance checklist participants actually take back and use
OutputTwelve-week improvement roadmap
Who should attend
Budget authority, operational ownership, or sign-off responsibility
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CEOs & Chief AI Officers
CEOs, Chief Digital Officers, Chief Information Officers and Chief AI Officers who approve AI budgets.
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Business-unit heads
Business-unit heads and directors testing or already running AI agents in their team.
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Risk & governance leads
Risk, compliance and governance leads who must sign off on AI projects.
Sending a team of two to four from the same organisation produces a more useful roadmap, particularly for the governance segment.
About the facilitator
What colleagues and clients say about Terence Kok
From past technology and transformation engagements, not attendee feedback on this course itself, since the catalogue is new and that record doesn't exist yet. This is the track record he brings into the room.
01 / 10
Facilitator
Terence Kok
Enterprise AI Strategist, Keynote Speaker · RMC, ISO/IEC 42001 Lead Auditor, Certified AI Governance Professional (AIGP)
Twenty-five years leading AI and digital transformation programmes across Asia and the Middle East, including national smart city projects, critical infrastructure programmes, and a retrieval-augmented generation platform used by more than 6,000 engineers with zero security incidents. Creator of the Return on Employee framework.
Read the full profile ›Common questions
Before you enquire
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Do participants need technical knowledge to attend?
No. The session looks at how ready your organisation is and how well you govern AI. It does not cover coding, data science, or prior AI experience. Every framework works through simple questions that any business or operations leader can answer.
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How does this differ from a standard AI awareness or literacy course?
Most executive AI courses just explain what AI can do. This one checks whether your organisation is ready to use it responsibly and measure the results. You walk away with a scored diagnosis of your own organisation and use case.
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What should participants prepare in advance?
Bring one AI use case, real or planned. You should be able to describe the task, the data involved, and who makes the final decision. No reading or technical prep needed.
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Is the session available virtually, or in-person only?
Both. In-person sessions are based in Singapore, with regional delivery available on request. The virtual version uses a structured format that still gives you your own individual score within the four-hour window.
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Should one individual attend, or a team?
Either works. If governance sign-off, budget approval, and day-to-day ownership sit with different people in your organisation, we recommend sending a team of two to four. The governance part of the session works better with input from different roles in the room.
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How does this relate to Governance Meets Delivery, the integrated programme?
This course is one of the two pillars that make up Governance Meets Delivery: AI for Business Owners, a one-day integrated programme run with Veronica Loh that adds a scoped, EDG-aware delivery pilot to the same governance checklist. Many people take this course on its own first, then move to the integrated programme once they are ready to check the plan against a delivery brief.
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What happens to the data and use cases discussed during the session?
We only use what you share to build your own scorecard and roadmap. We do not keep, publish, or share your data, use case details, or governance checklist beyond your own output documents.
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What support is available after the session?
You leave with all five outputs written down: a scored baseline, delegation map, RoE worksheet, governance checklist, and twelve-week roadmap. If you want more structured follow-up, that's available through the integrated programme and through the Governance & Assurance consulting track, at separate rates.
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Is there a discount for sending more than one person, or booking more than one course?
Yes. Organisations sending leadership through more than one course, or through a course and its integrated programme, get a combined rate rather than separate bookings. See the corporate and bulk enrolment section on the workshops page, or raise it directly in your enquiry.
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What if I need to cancel, defer or a session is rescheduled?
Full terms for individual, open-cohort and corporate in-house bookings, including deferral windows and what happens if Praxora Lab cancels a session, are set out in the refund and cancellation policy.
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What happens after the session ends?
Every cohort joins a standing network of practitioners and business leaders: ongoing networking events, fireside chats, and case study interviews with business owners and C-suite leaders on AI projects they've recently completed. The named facilitator also stays the point of contact for questions on applying what was covered.
Industry engagement
A network that keeps working after the workshop ends
Every cohort at Praxora Lab joins a standing network of practitioners and business leaders, not a one-off attendee list. Alumni are invited back for ongoing networking events, fireside chats with industry experts, and case study interviews with business owners and C-suite leaders on AI projects they have recently completed, a running view of what adoption actually looks like once the workshop room empties.
The learning experience
A small cohort, led by the practitioner who built the course
Every session is capped at a small cohort and taught in person by the practitioner who built it, not a teaching assistant working from someone else's slides. Participants work against one real team's own workflow rather than a generic case study, and leave with a draft they can put to use immediately.
A named facilitator, not a support desk, stays the point of contact after the session for questions on applying what was covered.
Investment
Open cohort or corporate in-house
Open cohort
On enquiry
Per participant, max 30 participants
- Certificate on completion: Certificate of Completion, Praxora Lab
- Scored readiness baseline
- Delegation tier map (TRACE)
- RoE calculation worksheet
- IMDA-aligned governance checklist
- Twelve-week roadmap
Corporate in-house
On enquiry
Fixed programme fee, max 16 participants
- Everything in the open cohort
- Dedicated session for one organisation
- Fixed fee, not priced per head
- Group rates with Governance Meets Delivery
- One round of post-session clarification
Full cancellation, deferral and refund terms are set out in the refund and cancellation policy.
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