A 4-hour session for executives who approve AI budgets, sign off on AI projects, and report to boards and regulators.
You leave with a scored readiness report, a governance checklist, and a Return on Employee worksheet built for your own organisation. This is not a general talk about technology.
Listen to this briefing
Governing AI Agents and Proving ROI
Three signs you're already behind schedule.
You can describe what AI is doing in your organisation, but not why it's allowed to do it, or who checks it.
Your last AI update to the board used enthusiasm as evidence, because you didn't have a number to defend.
You know a regulator or a customer will eventually ask how you govern AI agents, and you don't yet have an answer ready.
Readiness, governance, and measurement, addressed together.
Independent research from 2026 points to the same three worries for executives: Is the organisation ready to use AI? How do you govern AI agents that work with less human oversight? And how do you prove the AI programme is worth the money, three years in? These are also the three topics I get asked about most in my talks and panels since 2024, and the moment they turn urgent is usually specific: a board asks a question you cannot fully answer, a regulatory deadline appears on the calendar, or budget season requires the AI programme to justify itself in numbers.
This programme covers all three in one half-day session, instead of three separate ones. It uses frameworks I have already taught to companies and governments: five parts of the Eight-Dimension AI Readiness Assessment (from my book,AI at Scale: From Pilot to Production), TRACE (my framework for deciding if a task is safe to hand to an AI agent), and the Return on Employee (RoE) method. I have presented these at events including CDO Vision Singapore 2026 and the UN ESCAP AI for Developing Countries Forum.
Enquire & Reserve- FormatIn-person or virtual, live facilitation
- Duration4 hours, single session
- AudienceExecutives who approve budgets or decide how AI is used
- Cohort sizeMaximum 30 participants (open cohort)
- What you bringOne live or proposed AI use case
- Based onEight-Dimension AI Readiness Assessment, TRACE, Return on Employee (RoE)
- RequiresNo prior technical knowledge
What you leave able to do.
Five outcomes, each tied directly to a documented output from the session.
Find the one thing holding back AI in your organisation, whether it's your data, your processes, your governance, your team's skills, or how you measure results.
Use a simple three-level model to sort decisions: ones AI can make alone, ones a person must check, and ones AI should never make.
Tell the difference between how well an AI model performs and what it actually does for the business, and use the Return on Employee framework instead of building your case around cutting jobs.
Answer, in detail for your own organisation, the four governance questions required by Singapore's IMDA framework and similar rules used around the world.
Leave with a twelve-week plan, ordered by impact and how easy each step is to undo, ready to bring to your board or executive committee.
Six segments across four hours.
Diagnostic assessment through governance design to measurement and action planning. Each segment produces a documented output that feeds the final roadmap.
Framing & Objectives
We start by talking about the AI you already use, the questions your board is asking, and what the group wants to get out of today.
The Readiness Constraint
We run a live check across five areas: data, processes, governance, team skills, and how you measure success. You find the one thing holding your organisation back, before we talk about any tools or vendors.
Governing Agentic AI Systems
We cover the TRACE framework for checking if a task is right for AI, the three-level delegation model (AI decides alone, a person reviews, or AI can't decide), how to design audit trails and escalation steps, and the shift from having a person in every loop to a person watching over the loop.
Break
Measuring AI ROI
We separate two things people often mix up: how well the AI model performs, and what it does for the business. We cover the Return on Employee (RoE) framework as a better way to build your case than just cutting headcount, and the one step almost everyone skips: measuring your baseline before you go live.
Four Governance Questions & Applied Exercise
We turn the rules from IMDA, the EU AI Act, and other regulators into four simple questions every decision-maker must be able to answer. You apply these questions and the delegation map to a real use case you bring with you.
Roadmap & Close
We bring together your scorecard, delegation map, RoE worksheet, and governance checklist into one twelve-week action plan, ordered by impact and how easy each step is to undo.
Budget authority, operational ownership, or sign-off responsibility.
- →CEOs, Chief Digital Officers, Chief Information Officers, and Chief AI Officers who approve AI budgets.
- →Business-unit heads and directors who are testing or already running AI agents in their team.
- →Risk, compliance, and governance leads who must sign off on AI projects.
We recommend sending a team of two to four from the same organisation. This gives you a more useful roadmap, especially for the governance part.
Programme Deliverables
- 1.A scored five-dimension readiness baseline
- 2.A delegation tier map, built from the TRACE framework
- 3.A Return on Employee (RoE) calculation worksheet
- 4.An IMDA-aligned governance checklist
- 5.A twelve-week roadmap consolidating the preceding four
Terence Kok
Enterprise AI Strategist · Author · Keynote Speaker · Registered Management Consultant (RMC)
Twenty-five years leading AI and digital transformation programmes across Asia and the Middle East. This includes national smart city projects, critical infrastructure programmes, and an AI platform used by more than 6,000 engineers, with zero security incidents.
Terence created the Return on Employee (RoE) framework as a better way to build an AI business case than cutting jobs. Instead, it measures how much more each employee can do. It has been used in mid-market transformation projects, government training programmes, and international development work, including the UN ESCAP AI for Developing Countries Forum.
You can check feedback from past sessions on LinkedIn, including from Human Resources Online (organiser, InteracTech Asia 2026) and the Ministry of Defence (Head of Training Analysis). Full engagement history, testimonials, and a downloadable speaker one-sheet are at terencekok.com/speaking and terencekok.com/speaking/speaker-kit.
Recognitions
- CDO Vision Award 2026
- Google Trailblazer Transformation Award 2024
- Singapore's Most Influential Data & AI Leaders 2026
Selected Engagements, 2024–2026
- 2026 · CDO Vision SingaporeAward Recipient & Speaker
- 2026 · AI for Developing Countries Forum, UN ESCAPSpeaker, Bangkok
- 2026 · 9th Chief Digital & Data Officer Asia SummitPanel Speaker
- 2024 · IMDA Digital Transformation Industry DayPanel Speaker
Open Cohort
On enquiry
Per participant · Max 30 places
- ✓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 the Two-Day Masterclass
- ✓One round of post-session clarification
You will get a firm, itemised quote within two business days of a short scoping call. Corporate and group enquiries are welcome at terencekok.com/contact.
Before you book.
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.
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.
Why should I do this now rather than wait?
Because the questions this programme answers, whether your organisation is ready, how you govern AI agents, and how you prove ROI, are also the ones boards, regulators, and customers are already starting to ask. Waiting doesn't remove the pressure, it just means you answer those questions without a framework, in the moment, instead of before you need one.
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.
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.
Why is the cohort limited to 30 participants?
Each person gets a scored assessment for their own organisation, plus feedback on their own use case. A bigger group would turn this into a lecture and take away the hands-on value.
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.
How does this relate to the Two-Day Masterclass?
This is a half-day diagnostic. In one session, you get a scored baseline, a governance checklist, and an RoE worksheet. The Masterclass is a deeper, two-day programme that rebuilds your whole business model with AI built into every layer. Many people take this programme first, then move on to the Masterclass once they are ready to redesign, not just diagnose.
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.
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 Two-Day Masterclass and consulting work, at separate rates.
What is the cost, and how is it structured?
Open cohort places are priced per person. Corporate in-house sessions are priced as one fixed fee, not per person. You will get a firm, itemised quote within two business days of a short scoping call.
Next cohort open for enquiries.
Every additional quarter without a scored baseline and a governance checklist is a quarter your AI programme runs on assumptions instead of evidence. The open cohort is limited to 30 participants. You will get a firm quote within two business days of a scoping call.