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Most organizations can build AI. Few can prove it’s ready for production.

The AI Trust & Assurance Assessment is a rapid, structured engagement that identifies the AI risks, trust gaps and governance weaknesses standing between you and a confident go-live decision, in days, not months.

No lengthy audit. No generic maturity model. Just a clear, evidence-based view of where your AI can be trusted, and where it can’t, yet.

Book your assessment

If these questions are hard to answer, you’re not alone.

  • Can you trust what our AI systems are producing?
  • What should you be testing, and what should you be monitoring?
  • What level of risk is acceptable, and who decides?
  • Who is accountable if the AI gets it wrong?
  • Are you genuinely ready to put this into production?

Executives are being asked to approve AI investment and adoption. Risk, compliance and governance leads are being asked to sign off on it. Most organizations have no structured, repeatable way to answer either group with confidence.

The barrier to scaling AI is no longer technology. It’s trust.

Traditional testing wasn’t built for this AI.

Does the system work? That’s not enough. AI demands a tougher question: can you trust how it behaves?

AI systems are probabilistic, not deterministic – the same input doesn’t always produce the same output. Traditional pass/fail testing cannot fully uncover risks such as hallucinations, bias, drift, compliance exposure, and silent failures. To deploy AI with confidence, organizations need a trust-based approach that continuously assesses, measures, and assures AI behavior – not just functionality.

From AI risk to AI confidence, fast.

The AI Trust & Assurance Assessment is a rapid diagnostic that uncovers AI risks, trust gaps, and production readiness.
You leave with:
• Risk Heatmap – Ranked AI risks
• Action Plan – Prioritized recommendations
• Go-Live Readiness View – Key gaps and controls
• Executive Roadmap – A path to trusted AI at scale

No lengthy consulting or generic assessments- just actionable insights to deploy AI with confidence.

Beyond governance. Beyond testing.

We start with risk. Most AI assurance providers begin with governance or maturity models. We start by assessing business impact-legal, financial, operational, and reputational risks. This risk-first approach helps determine what to test, monitor, and govern. Built on a structured framework with 6 quality characteristics, 20+ trust dimensions, and 60+ business risks, it delivers a clear path to trusted AI.

Move from AI risk to AI confidence.

Get clarity on where your AI risk actually sits, focus assurance effort where it matters most, and build the confidence to move AI into production with your eyes open.

The Assessment answers the questions executives, risk teams, security teams and legal stakeholders all care about:
• Which risks should we tackle first?
• What level of risk is acceptable?
• What residual risk remains after mitigation?
• Are we actually ready to go live?

What you’ll gain.

Gain a clear, evidence-based understanding of your AI risk exposure, trust gaps, and production readiness, enabling faster and more confident decision-making. The assessment helps you identify and prioritize the risks that matter most, understand residual risk levels, establish the right controls and monitoring, and build a practical roadmap for deploying and scaling AI securely, responsibly, and with confidence.

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Your AI trust advisors

    Darren Coupland

    Darren Coupland

    Head of QA, UK

    Antoine Aymer

    Antoine Aymer

    CTO for Quality Engineering & Testing, Sogeti