Make your AI systems safe, compliant, measurable, and ready to scale
TRUST-AI helps organisations assess AI assistants, copilots, agents, and generative AI workflows across value, risk, security, compliance, governance, and operational readiness.
Businesses are adopting AI faster than they can govern it
Copilots arrive through office suites. Teams build agents without approval paths. Generative AI touches customer data before anyone has classified the risk. The result is a widening gap between what AI is doing in your organisation and what you can evidence, control, or defend — to a regulator, an auditor, or your own board.
Five ways in, one standard of rigour
Every engagement is grounded in regulated (GxP) delivery experience and led by the founder.
Snapshot Assessment
A rapid, fixed-scope review of a single AI system or use case. You get a readiness score, the top risks, and the fastest path to safe operation — in days, not months.
Best for: a first baseline, or one system that worries you.
Pilot Readiness Review
Before a pilot touches production: a structured evaluation against value, risk, security, and compliance gates, ending in an evidenced go/no-go recommendation.
Best for: pilots approaching a launch or investment decision.
Compliance & Governance Assessment
Your AI estate assessed against the EU AI Act, GDPR, and NIST AI RMF — producing an evidence gap register and a prioritised remediation roadmap.
Best for: regulated organisations preparing for scrutiny.
Enterprise Programme
The full governance operating model: policies, decision rights, controls, documentation standards, and training — embedded across your AI portfolio, not filed in a drawer.
Best for: organisations scaling AI across multiple functions.
Fractional AI Governance Advisor
Standing senior governance capability without a full-time hire — reviewing new use cases, maintaining the register, and briefing your board as regulation evolves.
Best for: keeping governance current after the assessment.
Where does your AI governance stand today?
Answer honestly — it takes two minutes and scores your organisation across value, risk, security, compliance, governance, and operational readiness. Nothing is submitted or stored; the score is calculated on this page.
01Do you maintain a complete inventory of AI systems in use — including copilots, embedded AI features, and shadow AI?
02Does every AI system have a named business owner accountable for its outcomes?
03Do you measure the business value of AI use cases against defined KPIs?
04Have you risk-classified your AI systems — for example against EU AI Act risk categories?
05Is personal data used in AI workflows mapped, with a lawful basis and DPIAs where required under GDPR?
06Are AI-specific threats — prompt injection, data leakage, model abuse — covered by your security controls?
07Are there defined human-oversight checkpoints for consequential AI decisions?
08Are your models, prompts, and agents documented well enough to survive an external audit?
09Do you monitor AI outputs in production for accuracy, drift, and misuse?
10Is there a tested process to pause or roll back an AI system when it misbehaves?
Governance that maps to the standards you'll be judged against
TRUST-AI assessments are structured around the frameworks regulators, auditors, and enterprise customers actually reference — applied with the discipline of regulated (GxP) delivery.
Evidence, not opinions
Readiness score
A quantified baseline across value, risk, security, compliance, governance, and operational readiness.
Evidence gap register
Every gap between what your AI does and what you can prove — logged, classified, and owned.
Remediation roadmap
A prioritised, sequenced plan to close the gaps — sized to your risk profile and regulatory context.
Go/no-go recommendation
An executive-level recommendation your board can act on, backed by the evidence behind it.
Book a 30-minute AI Governance Discovery Call
No pitch — a working conversation about your AI estate, your risk exposure, and which assessment fits.