AI Strategy Workshops & Advisory · Singapore
An execution roadmap, built in the room. Not a report, delivered six weeks later by someone who wasn't there.
Named AI economists, strategists and educators, running every engagement through the S.C.A.L.E. framework.
Score your current state, Control it with governance, Act by deploying AI solutions, Learn by monitoring the results, Evolve by scaling what works. Every session ends with:
- A scored readiness baseline specific to your own data and team
- A governance checklist your board can sign without a second meeting
- A roadmap sequenced by impact and reversibility
Built for the AI that exists now, with no legacy methodology to unlearn.
Want the fuller story first? Read about the practice ›- Score Assess current state
- Control Establish governance
- Act Deploy AI solutions
- Learn Monitor and analyse
- Evolve Optimise and scale
At a glance
Three ways to work with the practice
Distinct offers, run by the same named practitioners.
Workshops
Twelve half-day courses and three full-day integrated programmes, each led by the named practitioner whose own record built it, for organisations ready to move a pilot into something a board can govern.
See the workshops ›Consulting
Ongoing engagement past the workshop room: governance and assurance, engineering and delivery, economics and strategic foresight.
See the consulting tracks ›Speaking & Insights
Speaking engagements, published research and free readiness tools from the practitioners who run the workshops, not a separate content team.
Meet our experts ›
A note from our founder
Why now
Most AI pilots never reach production. The ones that do rarely started with a report.
Most AI pilots never make it past the demo. Independent research keeps landing on the same three reasons: no governance for when the system starts acting on its own, no baseline to prove the investment, no plan for the ninety days after launch.
AI-generated reports are easy to produce now, and most of them read the same: a maturity score, a framework, a set of recommendations pitched at organisations in general rather than at the one reading it. None of that closes the gap between a pilot and a system a board will actually trust. It just describes the gap more articulately.
Praxora Lab is built around the step that stops at the recommendation elsewhere. The workshops run at Praxora Lab produce that governance, that baseline and that plan inside a single session, specific to the organisation in the room. Read how a practice this new backs up that claim ›
Exhibit · McKinsey, 2025 State of AI
Adoption is nearly universal. Return on it is rare.
-
of companies use AI in at least one function
-
report large-scale deployment
-
report a significant financial benefit from it
14.5%
SG small-business AI adoption, tripled, and readiness hasn't kept pace
Exhibit · The board's own gap
The knowledge gap compounds the adoption gap.
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66%
of boards report minimal hands-on AI experience
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55%
of board members think a fellow board member should be replaced for not knowing enough about AI
Exhibit · The number few boards ask for
A system deployed to 500 people, used by 50.
of provisioned users are actively using the system, in a typical deployment
The other 90% is a change-management problem wearing an AI label, not an AI success.
5% of AI pilots produce lasting profit.
MIT NANDA, The GenAI Divide: State of AI in Business 2025What changes
Leave with the work already underway.
A workshop at Praxora Lab doesn't end with a recommendation to carry back to committee. It ends with a scored readiness baseline specific to your own data and team, a governance checklist your board can sign without a second meeting, and a roadmap sequenced by impact and reversibility, built in the room during the session, not delivered six weeks later by someone who wasn't there.
Every framework behind it is built for the AI that exists in 2026, applied by practitioners who each bring two or three decades of experience across economics, governance, workforce transformation and delivery at scale.
Typical AI report
A recommendation to carry back to committee
- A maturity score benchmarked against companies in general
- Recommendations to interpret and translate internally
- Written by someone who wasn't in the room
A Praxora Lab workshop
A plan built in the room
- A scored readiness baseline specific to your own data and team
- A governance checklist your board can sign without a second meeting
- A roadmap sequenced by impact and reversibility
Built during the session, not delivered six weeks later by someone who wasn't there.
Try it now
Five questions that show how ready your business is
Five quick questions from our AI Readiness Self-Assessment, the same instrument the full tool uses. No email required, and your quick result carries straight through to the branded report if you want the full picture.
10% of provisioned users are actively using the system, in a typical deployment.
Terence Kok, The four dashboards every Chief AI Officer must operateHow the practice runs
The S.C.A.L.E. framework: five stages, in the order they compound
Score, Control, Act, Learn, Evolve. Most AI initiatives stall because they skip straight to Act with no baseline and no governance underneath it. Most engagements at Praxora Lab enter at one stage and move through the ones after it; none of them require starting at the beginning.
- S · Score
Diagnose
Find out what's actually in place today, the gap a board, an auditor or a procurement team would find on inspection, not the one a maturity score implies.
- C · Control
Govern
Oversight structures, escalation paths and the audit trail an external reviewer opens the file to check, not a policy document written once and left unread.
- A · Act
Implement
Machine vision, robotics, IoT and applied ML pipelines, scoped and delivered rather than recommended in a report.
- L · Learn
Build capability
Put the judgment in the room: workshops led by the named practitioners behind them.
- E · Evolve
Assure & improve
Governance isn't a state you reach once. A retainer keeps the system current as use expands and the regulatory position keeps moving.
66% of boards report minimal hands-on AI experience.
Deloitte, Governance of AI: A Critical Imperative for Today's BoardsFrom Insights
Recent writing
Everyone's buying governance training. I keep wondering who's going to do the work.
Governance maturity is sprinting ahead of workforce capability, and the gap between them is being mistaken for progress. A case for funding the capability half before the paperwork provides false confidence.
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Capacity BuildingAn AI plan and staff training are not the same thing
Why leadership-level AI strategy and workforce-level AI training are two separate investments that have to run at the same time, not one after the other. The argument behind Praxora Lab's two approaches.
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Operations & SystemsThe Scope 3 number your customer needs is sitting in your OT data
From the 2026 financial year, Singapore's largest listed companies must disclose Scope 3 emissions, and a supplier with no activity-based data to offer becomes the industry-average estimate their customer is stuck reporting.
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Human Capital DevelopmentThe four dashboards every Chief AI Officer must operate
As the role shifts from championing AI capability to demonstrating ROI and resilience, these are the four things a CAIO needs to see, including whether a workforce is genuinely augmented or just quietly deferring to the machine.
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Operations & SystemsYour WMS and your ERP probably don't agree with each other
A warehouse management system rarely closes the gap it was bought to close. The gap usually sits at the handoff into the ERP, where someone still reconciles the two systems by hand, and that reconciliation step is where the real cost of a warehouse project sits.
Ready when you are
Enquire about a workshop
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.
