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MEMO · TO executives, business owners and functional leaders · RE the course catalogue run at Praxora Lab

Workshops

Twelve courses. Combine a subset for your market segment, or book any one on its own.

Each of the twelve courses below is led by the named practitioner whose own track record built it, and stands on its own as a half-day session. Six of them also recombine into a full-day integrated programme for a specific market segment. No prior technical knowledge is required for any course. Run in Singapore, and in-house at your own premises.

Browse the catalogue Not sure which one? Start here ›

Twelve practitioners, not one generalist

Training your staff and designing your AI strategy are not the same project, and neither is delivering the system.

McKinsey's 2025 State of AI research keeps finding the same shape: most organisations have adopted AI somewhere, and most still haven't turned that into results. Eighty-eight percent of companies use AI in at least one function, fewer than forty percent report large-scale deployment, and only six percent report a significant financial benefit from it. The reason isn't a training gap or a strategy gap alone, it's that the two are being run as one investment when they are actually two, and a delivery gap sits behind both of them. Roughly seventy percent of AI's value comes from changing how a company works, its workflows, roles and decision rights. The other side matters just as much: close to half of employees say training is the factor that determines whether AI adoption succeeds, and close to half say they have received little or none. Read the full argument ›

Exhibit · McKinsey, 2025 State of AI

Adoption is nearly universal. Return on it is rare.

  1. 88%

    of companies use AI in at least one function

  2. <40%

    report large-scale deployment

  3. 6%

    report a significant financial benefit from it

~70%

of AI's value comes from redesigning how work gets done, not the tool underneath it

Twelve half-day courses

One practitioner, one discipline, one course each.

Each course is built and led by the practitioner whose own credentials, delivery record or published work back it, per the assessment in the practice's own scoping of what it can honestly claim. None is a generalist's overview. Every session opens from a real case a participant brings into the room, and closes with a named, produced output, not a set of slides to interpret later.

Terence Kok
Terence Kok Strategic Advisor, Praxora Lab

How an AI programme performs is decided before procurement begins, not after. Most programmes fail on sequence, not on model quality: the tool gets chosen before the problem is defined, the system goes live before a baseline exists, and success is counted in adoption rather than business outcome.

A sound strategy reverses that order. Define the problem first. Then select one pilot, recurring, measurable, data-rich, bounded, and inexpensive to fail. Set the baseline before deployment, so the return can be proven, not asserted. And price the full system: the model, the data behind it, and the people overseeing it, the cost proposals routinely leave out, and the one that ends up largest over the life of the programme.

Fix the process before scaling the technology. AI layered onto a broken workflow simply repeats the defect, faster and at volume. Deploy once. Prove the return. Then expand. Organisations that do this first avoid the rework a shortcut creates later, and reach production sooner for having taken the deliberate route.

Terence Kok, Strategic Advisor’s signature Terence Kok, Strategic Advisor

Three integrated programmes

Combine two or three courses for one market segment.

Each integrated day recombines existing pillar courses, compressed and led by the same practitioners, closed with a joint synthesis session that checks their outputs against each other. Nothing in an integrated day is content built specifically for it; every block is also a standalone course above.

Map · twelve pillars, three programmes

Which pillars combine into which programme

6 of the twelve pillar courses recombine into one of the three integrated days below. The other 6 run only as standalone half-day sessions, by design, not because they were left out.

Pillar course I AI Governance & Compliance for Regulated Industries II Building the AI-Ready Workforce III Governance Meets Delivery: AI for Business Owners
01 Governance & Board Readiness
02 Factory Floor Robotics
03 The S.E.N.S.E. Framework
04 Workforce Transformation
05 AML & Financial Crime Detection
06 GenAI & Agentic AI Foundations
07 AI Strategic Foresight
08 AI-Driven Marketing & Brand Strategy
09 Venture Creation & IP Strategy
10 AI-Driven CX Transformation
11 AI Crisis Communications
12 The Organizational Adoption Profile

Governance & Board Readiness and Workforce Transformation each appear in two programmes: the same practitioner runs the same block, unmodified, in both.

  • I · Full-day programme

    AI Governance & Compliance for Regulated Industries

    Compliance, risk and technology leaders at MAS-regulated banks, payment institutions, fintechs and insurers.

    Facilitated by Terence Kok and Jason Lee and Sameen Khan, PBM

    Built from: AI Governance & Board Readiness, Workforce Transformation: AI Literacy to Agentic Fluency, AI-Driven AML & Financial Crime Detection

    View the programme ›
  • II · Full-day programme

    Building the AI-Ready Workforce

    HR, L&D and COO buyers building internal AI capability rather than buying it in.

    Facilitated by Michael Low and Dr. Joshua Lau and Sameen Khan, PBM

    Built from: The S.E.N.S.E. Framework: Redesigning Work for the AI Era, Workforce Transformation: AI Literacy to Agentic Fluency, GenAI & Agentic AI Foundations

    View the programme ›
  • III · Full-day programme

    Governance Meets Delivery: AI for Business Owners

    SME and mid-market business owners and entrepreneurs.

    Facilitated by Terence Kok and Veronica Loh

    Built from: AI Governance & Board Readiness, AI & Robotics on the Factory Floor

    View the programme ›

Only thirty-seven percent of employees say their organisation has formally implemented AI to improve productivity.

Gallup, AI Use at Work Rises (Q3 2025 workforce study)

Capacity Building for Staff

Necessary but not sufficient on its own.

Giving employees the skill to execute whatever strategy leadership sets is workforce-level work, and in most organisations it is already overdue. Only thirty-seven percent of employees say their organisation has formally implemented AI to improve productivity. The rest is happening anyway: staff using consumer AI tools on company work, unmanaged, untrained and ungoverned. The question is no longer whether your workforce uses AI. It is whether that use is competent, and whether anyone is accountable for it.

This is the discipline Dr. Joshua Lau leads at Praxora Lab: a WSQ and HRDC accredited adult educator who has delivered generative AI and agentic AI training to more than 1,000 learners across Singapore and Malaysia. Unlike the courses above, this is not a fixed-format programme. It is a corporate in-house engagement, scoped to your team's size and starting point, and built from the four tracks below. His public, open-enrolment course, GenAI & Agentic AI Foundations, is a compressed introduction to two of these same four tracks for a mixed cohort.

Four tracks, scoped to one engagement

Every engagement is assembled from these tracks rather than sold off a shelf. The scoping conversation decides the mix, the depth and the sequence.

  • 01

    GenAI Foundations

    Prompt fluency, tool workflows and everyday productivity with generative AI. The baseline every function needs before anything more ambitious is attempted.

    Indicative format: one-day intensive, hands-on with live tools.

  • 02

    Agentic AI in Practice

    From single prompts to delegated work: agents, orchestration and workflow automation, taught against your organisation's own processes rather than demo scenarios.

    Indicative format: two to three days, team-based build exercises.

  • 03

    AI Governance Track

    Responsible AI use grounded in the regulation your staff actually answer to, the EU AI Act, PDPA and the frameworks behind them, for compliance and governance staff.

    Indicative format: multi-day, scoped to your team's regulatory obligations.

  • 04

    Role-Specific Bespoke

    Curriculum designed for one function: data teams, operations, compliance, client-facing staff. Scoped from your workflows, delivered on your cases.

    Indicative format: agreed at scoping.

What the engagement leaves behind

  • A workforce that can execute. Staff with the practical skill to carry out the strategy set in any of the courses or integrated programmes above, not awareness training, but working competence.
  • Use cases from your own workflows. Participants leave with documented, validated applications drawn from their actual work, not generic examples.
  • A governed baseline for AI use. Shadow AI replaced with sanctioned, competent, accountable use, the workforce half of the governance checklist leadership signs off upstairs.
  • Internal champions. The handful of staff in every cohort who become the organisation's own advocates and first responders for AI adoption.

Capacity Building is typically scoped from what a course produces: the readiness baseline from AI Governance & Board Readiness, or the governed business case from Governance Meets Delivery. Strategy decided upstairs sets the curriculum downstairs. It can also run on its own, for organisations whose direction is already set and whose gap is execution.

Enquire about Capacity Building

Scoping begins with a short conversation about team size, current AI use and which of the four tracks apply.

Dr. Joshua Lau
Dr. Joshua Lau AI Transformation Leader and Accredited Adult Educator

Capacity building is not simply about transferring knowledge: it is about equipping people to progress independently. With generative and agentic AI, access to technology alone does not create productivity. Capability does.

Dr. Joshua Lau’s signature Dr. Joshua Lau

Corporate and bulk enrolment

Booking for a team, not one seat

Compliance, L&D and business-unit leads booking for a team have three ways to structure it across the catalogue, and a bridge to the workforce-training half of the same brief.

  • Corporate in-house

    A dedicated session for one organisation

    Every course and integrated programme runs as a fixed-fee, in-house session for one organisation instead of an open cohort. See the Corporate in-house option on each course's own page for what is included.

  • Combined courses

    Group rates across courses and programmes

    Organisations sending leadership through more than one course, or through a course and its integrated programme, get a combined rate rather than separate bookings.

  • Capacity Building

    The workforce-training half of the same brief

    Capacity Building above is the WSQ and HRDC accredited track that covers that half.

Enquire about a corporate or bulk booking

Upcoming cohorts

How the catalogue runs today

No open-cohort dates are confirmed yet, and a table of fifteen rows reading “to be announced” would tell you nothing. Every course and integrated programme runs today as a corporate in-house session, scheduled around your organisation and run on your own cases. Public cohorts are added here as they are set.

Book an in-house session

A dedicated session for one organisation, on a date that suits you, run on cases your own people bring. This is how the catalogue is delivered today, and every one of the fifteen offerings is available this way.

Enquire about in-house delivery

Register interest in a public cohort

Tell us which course you want as an open cohort. Interest is what decides which courses get public dates first, and registering means you are told before the schedule is published.

Register cohort interest ›

Not ready to commit to one?

Enquire before you commit

Every course and integrated programme is on-enquiry pricing, open cohort and corporate in-house delivery. Corporate and group enquiries are welcome, including combined rates across the catalogue.

Enquire about a course or programme

Not ready for any of them? Start with the free five-part AI readiness self-assessment, the same framework the catalogue is built on.

Dr. Jayarethanam Pillai

Before you go

I did not want Praxora Lab to run a training calendar. Twelve courses, one practitioner and one discipline each, because I have sat on enough boards and advised enough governments to know that most AI programmes fail from an unclear mandate at the top, not from a skills gap on the floor, and that no single generalist can credibly cover governance, engineering delivery, workforce capability, financial-crime compliance, marketing, venture creation, customer experience and crisis communications at once. The three integrated days exist because some of those needs genuinely combine, a regulated bank needs governance, compliance and workforce AI literacy together, not as three separate purchases. The five newest additions took longer to approve than the original six, not because the practitioners behind them were any less qualified, but because I insisted every course on this page earn its place from a real track record, not from a gap in the catalogue that needed filling. If your organisation only has budget for one course, start with the one that names your actual constraint, not the one with the longest description.

Signature, Jayarethanam Pillai