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MEMO · TO leadership deciding what happens after a diagnostic · RE the three consulting tracks run at Praxora Lab

Consulting

Governance built to certify. Systems built to run. Decisions built to hold up.

The workshops produce a scored readiness baseline, a governance checklist and a twelve-week roadmap, built in the room, not delivered six weeks later by someone who wasn't there. Consulting is where that roadmap gets carried further: an AI governance framework built to pass a board and an audit, a system built and delivered by the same engineering team behind it, or a structured economic case built for a government or institutional decision. Three tracks, not one open-ended engagement.

The three tracks

Chosen for the evidence behind them, not to fill out a menu

All three already existed inside this practice before any was sold: real engagement records, published on each practitioner's own speaker profile, formalised here into three scoped offers.

Track A

AI Governance & Assurance

Get an AI governance posture a board can sign, and a regulator can inspect

Who it's for
Enterprises building a defensible governance record, and funded AI startups whose next enterprise deal depends on the same thing.
Structure
Gap diagnostic, remediation support, optional retainer
Led by
Terence Kok, ISO/IEC 42001 Lead Auditor, AIGP
Capabilities include
Delegation & escalation design · Agentic AI risk assessment · Cross-framework mapping
See the Governance & Assurance track › Track B

AI Engineering & Delivery

Get the system a diagnostic called for, built and delivered

Who it's for
SME owners and enterprises with a bounded, defined problem, machine vision, robotics, IoT, applied AI, ready for a delivered system rather than another recommendation.
Structure
Scoped delivery, quote-based, by the engineering team behind the case studies
Led by
Veronica Loh and Orion Five Engineering
Capabilities include
Machine vision & quality control · Robotics integration · Applied AI & ML pipelines
See the Engineering & Delivery track › Track C

AI Economics & Strategic Foresight

Get a structured economic case, built before a government commits to it

Who it's for
Government ministries and agencies, multilateral programme offices, and universities weighing an AI or digital-transformation policy, programme or investment decision.
Structure
Foresight scoping, structured assessment, optional advisory retainer
Led by
Dr. Jayarethanam Pillai, Ph.D. Public Policy & Economics, ANU
Capabilities include
Structured economic impact assessment · AI & digital-transformation policy review · Technology impact assessment
See the Economics & Strategic Foresight track ›

All three already existed inside this practice before any was sold.

The three tracks

Where this picks up

The workshops produce the diagnostic. This builds on it.

The AI Governance & Board Readiness course already produces a governance checklist and a scored readiness baseline in a single afternoon. Many consulting engagements start directly from that output: the Governance & Assurance track picks up the checklist and builds the management system behind it; the Engineering & Delivery track builds the system the readiness baseline identified. Neither requires having attended a workshop first. Both are faster to scope for an organisation that has.

The third track runs the same pattern for a different audience. The AI Strategic Foresight course already applies a structured economic impact assessment to one live policy or investment decision in a single afternoon. The Economics & Strategic Foresight track picks up that same method and carries it through the months a government or institutional decision actually takes, rather than leaving a ministry or programme office with a 3.5-hour exercise and no continuation.

Building a workforce that can execute an AI strategy day to day is a separate discipline from all three tracks here, and already has its own home: Capacity Building, led by Dr. Joshua Lau under Workshops.

Beyond the three tracks

Nine more practitioners this bench draws on

Governance & Assurance, Engineering & Delivery and Economics & Strategic Foresight each carry a staged, quote-based structure because Terence Kok, Veronica Loh and Dr. Jayarethanam Pillai each have a published case-study or project record to build one on. The rest of the bench has not built that record on a commercial page yet: their evidence sits in workshops and named advisory engagements. Listed here as exactly that, not as tracks four through twelve.

  • Jason Lee

    Head of Compliance & AI-Driven AML Specialist

    Jason Lee

    AI-driven AML and financial-crime detection, built as a Head of Compliance and MLRO securing MAS licences with zero major findings.

  • Sameen Khan, PBM

    Global HR, AI and Workforce Transformation Leader

    Sameen Khan, PBM

    AI literacy as the precondition for a workforce rollout, built across HR transformation work in twenty-plus markets.

  • Michael Low

    AI Transformation Strategist & Human Capability Architect

    Michael Low

    Workforce capability architecture for AI adoption, built from the S.E.N.S.E. framework and a S$30 million SMU Academy portfolio.

  • Dr. Joshua Lau

    AI Transformation Leader and Accredited Adult Educator

    Dr. Joshua Lau

    AI transformation led from inside a manufacturing operation, and the accredited trainer behind Praxora Lab's Capacity Building engagements.

    See the Capacity Building engagement ›
  • Sockalingam Muthiah

    VP, Technical Customer Services & AI-Driven Transformation Leader

    Sockalingam Muthiah

    AI-driven customer experience transformation at P&L scale, from twenty-nine years leading global technical support.

  • Kumaran Pillai

    Media Entrepreneur, Publisher & AI Strategist

    Kumaran Pillai

    AI-assisted crisis communications and decision intelligence, built from command-centre work with regulators and major institutions.

  • Yong Yau Goh

    Chief Marketing Officer & Global Brand Strategist

    Yong Yau Goh

    AI-driven marketing and brand strategy across regulated, multi-jurisdiction markets.

  • Patrick Ng

    Venture Creation Instructor & Deep-Tech Mentor

    Patrick Ng

    Deep-tech venture creation and IP strategy, drawn from twelve patent families and lead instruction across NUS, NTU and SUSS.

  • Dr. Xenia Wade

    Change Management Strategist

    Dr. Xenia Wade

    AI adoption diagnosis with the Organizational Adoption Profile, built from six and a half years of change management delivery across 800-plus German banking institutions.

See the full bench, with the evidence behind each name ›

Ready when you are

Enquire about a consulting engagement

Tell us which track fits, or describe the problem and we'll route it. All three tracks are scoped at engagement rather than sold off a rate card.

Start the conversation
Dr. Jayarethanam Pillai

Before you go

A policy recommendation nobody implements is worth about as much as an unread report, and I spent enough years watching that happen at UNDP to want no part of it here. The workshops already tell a client what the plan is. This section exists because I did not want the practice's own honesty about report culture to quietly stop applying to us the moment someone asked us to build something rather than diagnose it. Three tracks, not a general consulting offer: one that gets a governance posture certifiable, one that gets a system built, and one that carries a government or institutional decision through the same structured assessment I have used at UNDP and Aboitiz myself. None of the three is invented for this page. All three were already true of this bench before we sold any of them, the third one included, however uncomfortable it is to say that about my own track rather than someone else's.

Signature, Jayarethanam Pillai