AI adoption for organisations where impact matters as much as efficiency.
For impact-led organisations, the question isn’t simply what AI can automate. It’s what AI will do to your mission, your people, your decision-making and the communities you serve. I help leadership teams build the strategy, governance, and human infrastructure around AI—so it expands organizational capacity without weakening judgment, trust or accountability.
QUESTIONS YOU ARE ALREADY ASKING 
Most AI pilots fail after the demo, and they fail on the same points, on both sides: systems that ship sounding more confident than they are, and organisations that roll them out with no owner for the errors and no plan for their people. The gaps are real, they're measurable, and every one of them is a trust gap. Closing them is the work.
TRUST IS NO LONGER A COMPLIANCE LAYER. IT'S HOW IMPACT GETS DELIVERED. 
From where you are to AI that holds
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1. SENSEMAKING
Where does AI stand in your organisation, and how ready are you to take it further? The framework maps your actual AI footprint and assess readiness across your people, data, and processes, together with the outside forces shaping your options.
You leave with: a clear picture of where you stand, and your Alignment Gap.
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2. ALIGNMENT
Your AI plans, data foundations and mission priorities are brought into alignment, so investment goes where it can create real value without compromising what the organisation exists to achieve.
You leave with: an AI strategy the business recognises and can commit to.
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3. ARCHITECTURE & COMPLIANCE
The supporting structure is built around your organisation: governance proportionate to your risk, policies people can actually use, and trust infrastructure that keeps decisions transparent, traceable and accountable.
You leave with: structures ready for the regulation already arriving.
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4. EXECUTION
Workshops, governance rollout and skill building turn the new structures into everyday practice, building the capability to sustain them as the organisation evolves.
You leave with: working practice, and the capability to run it without us
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5. ASSESSMENT
Progress is measured against the same baseline, alongside the standards and regulations relevant to your organisation—from NIST and ISO 42001 to the EU AI Act where applicable.
You leave with: improvement in numbers, and the next priority named.
A framework for scoring whether AI systems are trustworthy to the people they affect — before the failure shows up in your outcome metrics.
FIVE DIMENSIONS
TWO LENSES
FIFTEEN CRITERIA
HOW MUCH AGENCY ARE YOU ACTUALLY RETAINING WHEN AI ENTERS YOUR WORK?
Building an operating system for mission-aligned AI
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Distributed by design
AI moves too quickly for every decision to travel up and down a hierarchy. Flatter, goal-focused teams keep authority closer to the people, communities and context that matter—and can adapt as the work changes.
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Decisions close to the work
Authority moves closer to the teams solving the problem, with clear accountability attached to every decision and real voice for the people it affects. Empowerment and answerability travel together, at every level.
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People who grow with AI
AI can create short-term efficiency by renting intelligence from a vendor. The bigger opportunity is to build capability that stays inside the organisation. Adoption should do both: improve performance today while strengthening human judgment for tomorrow, in line with the growing emphasis on AI literacy and competency across frameworks such as the EU AI Act and NIST.
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Foundations that hold
Data governance, security, and compliance built to stand up under the frameworks that matter, from the EU AI Act to NIST and ISO 42001. Infrastructure your auditors recognise and your teams can actually run.
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Impact beyond the quarter
What you build affects employees, customers, communities, and the environment—and its consequences can outlast the people who designed it. Stewardship means considering those impacts deliberately, so today’s AI decisions create value the next generation can build on rather than inherit as a cost.
The thinking behind the work
The 90% Code AI Trust Assessment Framework— Whitepaper
The trust infrastructure underneath our assessments is published open access on Zenodo.
Running live.
The same framework powers the AI Trust Score, a free diagnostic that assesses your relationship with the AI in your work and gives targeted strategies to improve it. It has been tested and improved by a group of 50+ AI builders, adopters, teachers, and students globally.
A book, this October
The full operating system is the subject of The 90% Code: why concentrated authority can't govern the AI era, and what organisations can build instead.
Most pilot testers rated the AI Trust Score assessment 5 out of 5.
LET’S GET STARTED
