Strategic AI Leadership
Three in-house AI strategy and governance courses for senior leaders: where to invest in AI, how to govern it and how to make it last. Each one works on your own figures and documents, inside your company’s tools.
Curriculum
What each course covers
Course 1: The AI Investment Case
Who should attend: the CEO or business owner, the CFO and the person who will own the chosen use case.
What AI is reliably good at, and what it is not
Sort your own processes into what AI handles well, what it assists with and what it should not touch yet.
Finding where the money is
Build a longlist of use cases from your own cost and time data.
Scoring and ranking
Score every candidate on value, feasibility, data readiness and risk, and force a ranking.
Building the case the board will accept
Cost your top-ranked use case with a baseline, an owner and a stated point at which you would stop.
Course 2: Governing AI
Who should attend: the CEO or a board delegate, legal, risk, the data protection owner and the CIO or IT lead.
Where your exposure is right now
State, in writing, what staff are already doing with AI on company data, sanctioned or not.
Drawing the data line
Decide which data may go into which kind of tool: free public tools, company-licensed tools, tools on your own servers or none.
Decision rights and accountability
Map who approves a new AI tool and who owns an AI-assisted output that turns out wrong.
Policy on one page
Draft an AI use policy covering permitted uses, disclosure, human review and escalation.
Risk register and review cadence
Populate a risk register with triggers, and set who reviews it and how often.
Course 3: Making AI Stick
Who should attend: the COO or CEO, department heads, senior managers and the HR or L&D lead. It runs a full day because the workflow redesign needs breakout time.
Reading your own adoption data
See where your organisation sits on readiness, using your own needs assessment scores.
Why the last rollout did not take
Diagnose the failure mode behind a past initiative, beyond the easy 'people resist change' story.
Redesigning one workflow, properly
Redraw one departmental workflow end to end, including what stops and who checks the output.
The operating model
Decide how AI capability is held: a central team, embedded champions or a hybrid, with names against it.
Measuring real use
Set three to five adoption metrics with baselines, measured on use rather than licence counts or attendance.
The 90-day plan
Sequence owners, dates, a day-30 review and a stop condition, and have each owner say it out loud.
What you leave with
Every course includes
- A certificate of completion for every participant who finishes
- HRD Corp claim documents, prepared by us
- Materials for every module, for each participant
Mereka provides management guidance. Your own counsel and data protection officer review the outputs before you adopt them.
Facilitators
Who leads the courses
Every Strategic AI Leadership course is led by two of our senior leaders.
Rashvin Pal Singh
Group CEO
Co-founded Biji-biji Initiative and now leads the group, including Mereka. Before that he worked in PwC Malaysia’s advisory practice. An Obama Foundation Leader (Asia-Pacific). He wrote The AI ROI stack.
Gurpreet Singh Dhillon
Chief Strategy Officer
Leads Mereka’s technology and product work, including the move to our own learning platform, built with AI coding agents (read the case study).
The AI ROI stack
Three questions about the return on AI
Most organisations measure AI by the cost it saves. The research below points to bigger returns from changing how work is done.
How do we work faster?
Faster, cheaper output on the workflows you already have. The easiest return to measure.
How should the work itself change?
Redesign the process before you pick the tool. Faster output alone moves the bottleneck to review and approval.
What can we offer now that we could not before?
New products and services, designed around what AI makes possible.
Where the money goes, and where the returns are
Sources
- McKinsey (March 2025), The state of AI: How organizations are rewiring to capture value
- BCG (October 2024), Where’s the Value in AI?
- Deloitte (December 2025), Tech Trends 2026, as described by Deloitte US chief technology officer Bill Briggs
- Gartner (5 May 2026), press release on AI-related job cuts, a survey of 350 executives at companies with US$1 billion or more in annual revenue.
Framework from Rashvin Pal Singh, Group CEO of Biji-biji Initiative and Mereka: "The AI ROI stack", LinkedIn, 25 May 2026.
Proof
How we know it works
What managers, directors and C-level participants across AI Lab programmes told us straight after training (May to October 2026).
Get started
Book a free discovery call
Step 1
We learn your goals
In 30 minutes: your team, your tools and what you want AI to change.
Step 2
We recommend and quote
The right programme and format, in a tailored proposal.
Step 3
We handle HRD Corp
We prepare the HRD Corp documents and claim from your levy, so there is no deposit. Paying another way? We set it up with you.
Prefer to message? Email ailab@mereka.io or WhatsApp +60 11-3011 6472
Thank you
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