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AI Governance & Compliance for Regulated Industries

WORKSHOPS · 12 · FULL-DAY INTEGRATED PROGRAMME

WORKSHOPS · 12 · FULL-DAY INTEGRATED PROGRAMME

12

AI Governance & Compliance for Regulated Industries

A one-day programme for compliance, risk and technology leaders at mas-regulated banks, payment institutions, fintechs and insurers. Three pillars, each led by the practitioner who owns that discipline, brought together into one roadmap by the end of the day.

You leave with

  • Governance checklist
  • Integrated roadmap
  • Board & MAS-defensible position
  • Three named practitioners
Enquire about upcoming dates View the one-page brief
See all three integrated programmes

Duration

One full day

Format

In-person, three facilitators

Cohort size

Max 20 participants

Requires

Working knowledge of AML, sanctions or KYC operations

Facilitators

Terence Kok, Jason Lee, Sameen Khan, PBM

Audience

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

CPD / CPE hours

To be confirmed

Certificate on completion

Certificate of Completion, Praxora Lab

Overview

Regulated financial institutions face three converging AI expectations at once, not three separate ones

MAS-regulated banks, payment institutions, fintechs and insurers are being asked to satisfy three AI expectations at once, not in sequence. The Monetary Authority of Singapore's November 2025 consultation on sector-wide AI Risk Management Guidelines sits alongside ISO/IEC 42001:2023 and the EU AI Act's Article 12 record-keeping requirements as the governance baseline any regulated function must now demonstrate, not merely assert. The EU AI Act's Article 4 adds a fourth, easy to miss: a live legal duty to ensure the staff operating and monitoring an AI system are themselves AI-literate, not just the system they operate. Underneath both layers, LexisNexis Risk Solutions puts the annual cost of financial crime compliance across Asia-Pacific at US$45 billion, with ninety-eight percent of institutions reporting rising costs in the most recent year measured. A governance checklist built without the workforce-literacy and AML layers underneath it rarely survives an actual inspection.

This programme brings the three practitioners who separately teach each layer, Terence Kok on governance, Sameen Khan on workforce AI literacy, Jason Lee on AML, into one day, because a regulated function is inspected on all three at once, not one discipline at a time. Participants leave with a governance checklist, an AI-literacy baseline and an AML implementation note for the same function, checked against each other in a joint closing session, and defensible to both an internal board and a MAS inspection.

Sources

Why Praxora

Why this, not a platform

Three outputs checked against each other, defensible to a MAS inspection.

  • Three practitioners, not one generalist

    Terence Kok on governance, Jason Lee on AML, Sameen Khan on workforce AI literacy, each accountable for their own block of the day.

  • Three named frameworks, checked against each other

    TRACE, RegTech integration patterns and the AI-literacy baseline, brought together in one closing session.

  • One real, produced output — not a case study

    The day ends with a governance checklist, an AI-literacy baseline and an AML implementation note, brought into one roadmap.

  • A small, capped cohort

    Max 20 participants, so the room works from one regulated function, not a generic compliance seminar.

  • Built on institutions that already trust it

    Built from IMDA, MAS liaison work and twenty-plus markets of HR technology deployment, combined in one day.

  • One focused day — not an 18-week course

    One full day. No eighteen-week cohort, no drip-fed modules.

Key takeaways

What participants leave with

  • A governance checklist, an AI-literacy baseline and an AML implementation note, each built for the same regulated function.

  • One integrated roadmap that checks all three outputs against each other, not three disconnected reports.

  • A position defensible to both an internal board and a MAS inspection.

  • Direct access to three named practitioners in one day, each accountable for their own block.

See a full sample of these documents › Filled out for a fictional company, so you can judge the format before enquiring.

Objective

Construct an integrated AI governance, workforce-literacy and compliance-monitoring roadmap for a regulated financial services function, defensible to both an internal board and a MAS inspection.

Each block below is the corresponding half-day course, compressed and led by the practitioner who built it. None of the content is new; the day's value is in bringing all three outputs together against one regulated function, in the closing session.

Syllabus

Three pillars, one day

Left with three connected outputs, a governance checklist, an AI-literacy baseline and an AML implementation note, brought together into one roadmap for a single regulated function.

  1. 09:00 to 10:15

    AI Governance & Board Readiness, compressed

    Led by Terence Kok.

    • One live AI use case named in the room, not a hypothetical
    • A live scoring pass across five areas: data, process, governance, team skills, measurement
    • The TRACE framework: a structured test for whether a task is actually right for AI
    • Separating model performance from actual business outcome
    • IMDA and EU AI Act requirements, translated into four plain-language questions
    • The scorecard, delegation map, RoE worksheet and governance checklist, brought into one document

    OutputGovernance checklist

  2. 10:15 to 11:30

    Workforce Transformation: AI Literacy to Agentic Fluency, compressed

    Led by Sameen Khan, PBM.

    • One real team or function, named up front, not a hypothetical rollout
    • A literacy baseline scored against what the team actually knows, not a generic AI-maturity model
    • Which tasks the team can already run on AI unsupervised, and which it can't yet
    • The literacy baseline and fluency gap map brought together

    OutputAI-literacy baseline

  3. 11:30 to 11:45

    Break

  4. 11:45 to 13:00

    AI-Driven AML & Financial Crime Detection, compressed

    Led by Jason Lee.

    • One real AML, sanctions or KYC workflow, named up front
    • RegTech integration patterns for machine-learning anomaly detection
    • What a MAS inspection actually checks, versus what teams assume it checks
    • The integration map and audit-readiness checklist brought together

    OutputImplementation note

  5. 13:00 to 14:00

    Joint synthesis: one integrated roadmap for the regulated function in the room

    All three facilitators.

    • The governance checklist, AI-literacy baseline and AML implementation note, checked against each other
    • Where the three outputs already hold up, and where they still need reconciling
    • One integrated roadmap, defensible to both an internal board and a MAS inspection

    OutputIntegrated compliance-AI roadmap

Component courses

Each pillar also stands alone

Book any one of the three as its own half-day course, or all three together in this integrated day.

Facilitators

Three practitioners, one for each pillar

  • Terence Kok

    Terence Kok

    Executive Director, AI Governance & Assurance Practice. Enterprise AI Strategist and Keynote Speaker

    “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.”

    Terence Kok's signature
    Read Terence Kok's course foreword › Read the full profile ›
  • Sameen Khan, PBM

    Sameen Khan, PBM

    Global HR, AI and Workforce Transformation Leader

    “My tagline on this site used to lead with data foundations. It now leads with the workforce, because that is where I actually watched things break. In more than twenty markets, I have sat in the room when leadership announced an AI rollout to a workforce nobody had actually assessed, and watched the same failure repeat: the tool worked, the model was fine, and the rollout still stalled, because nobody had checked whether the people expected to use it knew enough to trust it, or had the fluency to run it unsupervised on a real task.”

    Sameen Khan, PBM's signature
    Read Sameen Khan, PBM's course foreword › Read the full profile ›
  • Jason Lee

    Jason Lee

    Head of Compliance & AI-Driven AML Specialist

    “Every analyst I have ever managed has, at some point, told me the same thing in different words: that chasing false positives all day is what makes them stop trusting the alert queue altogether. That is the problem this course is actually about. Not AML in the abstract, the specific, quiet cost of a compliance function where good people learn to click through warnings because most of them turn out to be nothing.”

    Jason Lee's signature
    Read Jason Lee's course foreword › Read the full profile ›

Common questions

Before you enquire

  • Can we book just one of the three pillars instead of the full day?

    Yes. Each pillar, AI Governance & Board Readiness, Workforce Transformation: AI Literacy to Agentic Fluency, and AI-Driven AML & Financial Crime Detection, is a standalone half-day course as well as a block in this integrated day. This programme is for organisations that want all three connected into one roadmap.

  • Do all three facilitators need to be in the room for the whole day?

    Each facilitator leads their own block. All three are present for the closing joint synthesis session, since that is where the three outputs are checked against each other.

  • Is this only for banks, or does it apply to payment institutions and insurers too?

    Any MAS-regulated entity with AML, sanctions or KYC obligations and a live AI governance question is a fit: banks, Major Payment Institutions, Digital Payment Token licence holders, fintechs and insurers.

  • 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.

  • 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.

  • 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

Three practitioners, one sequenced day, no teaching assistants

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.

For this full-day integrated programme, that holds across all three pillars: each block is led by the practitioner who owns that discipline, closing with a joint session that brings the day's three outputs together into one roadmap.

A named facilitator, not a support desk, stays the point of contact after the session for questions on applying what was covered.

Investment

Corporate in-house, on enquiry

Full-day integrated programme

On enquiry

Per participant, max 20 participants

  • Certificate on completion: Certificate of Completion, Praxora Lab
  • Governance checklist
  • AI-literacy baseline
  • AML implementation note
  • Integrated compliance-AI roadmap

Full cancellation, deferral and refund terms are set out in the refund and cancellation policy.

Enquire about upcoming dates
Dr. Jayarethanam Pillai

Before you go

Three practitioners in one room for one regulated function is a heavier commitment than any single course on this site, and I would not have approved it without a specific reason: workforce AI literacy, AML detection and board-level governance are not sequential problems for a bank, they are the same problem seen from three seats at once, and the EU AI Act's own Article 4 now makes staff literacy a governance question in its own right, not a training-budget afterthought. I have advised enough government bodies on financial oversight to know that a roadmap built by three specialists comparing notes in the same afternoon beats three separate reports filed months apart.

Signature, Jayarethanam Pillai