AI moves in months. Most organisations are still governed for years.
Praxora Lab turns a single workshop into a scored AI readiness baseline, a governance checklist and a twelve-week execution roadmap, built during the session, not a report to interpret later. It's led by named AI economists, strategists and educators, and built for the AI that exists now, with no legacy methodology to unlearn.
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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 two 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 · Why most pilots stall
Adoption is nearly universal. Scaled return is rare.
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78%
of companies use AI frequently
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33%
have scaled it company-wide
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5%
of pilots produce lasting profit, per MIT NANDA
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14.5%
SG small-business AI adoption, tripled — readiness hasn't kept pace
What changes
Leave with the plan built, not a report to interpret later.
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.
Where to start
Two ways into the practice
The named practitioners behind Praxora Lab, with real credentials, real engagements, and nothing invented on their behalf.
See who they are › WorkshopsTwo facilitated AI programmes already running, a half-day executive diagnostic and a two-day business model masterclass.
See the programmes ›
From Insights
Recent writing from the practice
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Terence Kok, Enterprise AI Strategist, Author, Keynote SpeakerWhat your AI vendor contract is probably missing
Standard SaaS contract templates miss protections that matter specifically for AI vendor relationships, and the contract itself, not regulation, is currently an organisation's primary protection.
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Terence Kok, Enterprise AI Strategist, Author, Keynote SpeakerBeyond the pilot: a risk governance framework for scalable AI deployment
A governance framework for the step most AI programmes skip: moving from a working pilot to infrastructure that can be trusted at scale, built around a four-pillar risk model and a scoring method borrowed from industrial engineering.
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Terence Kok, Enterprise AI Strategist, Author, Keynote SpeakerFrom human-in-the-loop to AI-on-the-loop: redesigning oversight architectures
How oversight structures need to change as AI systems take on more decision-making without a person approving every step, and why that shift is a design choice regulators already permit.
Ready when you are
Enquire about a workshop
Both programmes are on-enquiry pricing, open cohort and corporate in-house delivery. Corporate and group enquiries are welcome, including combined rates across both programmes.