Accuracy
Does your AI make decisions you can stand behind? Not just in controlled conditions, but against real data. We validate the output against what your organisation needs, not what the vendor claims.
95% of AI proof of concepts fail to deliver value at scale
The gap between a promising pilot and a production system you can stand behind is where most organisations get stuck.
We provide independent assurance so you can capitalise on the efficiencies that AI brings and provide board-ready evidence before you scale.
We assess your proof of concept against real production criteria and present the findings in a dashboard your C-suite can act on. You will know whether your POC is worth scaling, what pitfalls lie ahead, and what value it will deliver if you do.
Our Gold, Silver, Bronze rating gives you an accurate view of where the technology behind your AI stands, what needs to improve, and in what order.
Gold (80% and above): Implementation ready for Executive or Board sign-off and regulatory scrutiny.
Silver (70 to 79%): Strong system with clear, prioritised improvements identified.
Bronze (60 to 69%): Functional system with specific gaps that need addressing before scaling.
For senior managers who need to demonstrate they understand and govern their AI systems, the rating provides documented evidence that satisfies boards, audit committees and regulators alike.
We are contributors to the UK Government’s AI standards. So, if your organisation is trying to scale AI under regulatory scrutiny or runs critical national infrastructure, you'll recognise the standard we work to.
Independent assurance gives you an honest, evidence-based view of whether your AI is ready. Not ready in theory but ready in production, under real conditions, with real data. That's the difference between deploying with confidence and deploying and hoping for the best.
An organisation could choose to test its own AI. The problem is that internal teams are too close to the work, vendors are incentivised to show their products in the best light and traditional QA frameworks weren't built for systems that can produce different outputs from identical inputs.
We evaluate your AI implementation across four dimensions, each designed to surface the risks that a traditional testing approach may miss.
Accuracy
Does your AI make decisions you can stand behind? Not just in controlled conditions, but against real data. We validate the output against what your organisation needs, not what the vendor claims.
Explainability
Can you explain how your AI reaches its decisions to a Board, a Regulator or a customer? We ensure that decision pathways are transparent and documented in language that non-technical stakeholders can understand and stand behind.
Performance
Will your AI perform reliably under actual production conditions? We test behaviour at scale, under peak load and across edge cases that controlled environments rarely surface.
Robustness
How does your AI behave when conditions change or when it encounters unexpected inputs? We test stability, error handling and resilience to the kind of real-world variability that breaks systems built only for ideal conditions.
"2i's independent AI assurance helped us detect issues early, saving time and reducing risks. Their consultants deliver what they promise."
-IT Director, UK Government Agency
Every engagement follows three phases, scoped to your specific AI implementation.
Define (1 to 2 weeks)
We scope your AI implementation, understand the decisions the system will influence and establish the regulatory context you operate in.
Assess (2 to 6 weeks)
We apply our independent four-dimensional framework, identifying AI-specific risks and testing against accuracy, explainability, performance and robustness criteria.
Deliver
You receive a clear, prioritised assessment with actionable recommendations. No lengthy transformation programmes. No vague roadmaps. Just an honest picture of where you stand and what to do next.
Ready to deploy AI with confidence?
Most organisations know AI could help them move faster. The ones that scale it successfully take the time to validate properly. Our assessment gives you an honest, independent view of where your AI stands before it reaches production.
AI assurance works best as part of a complete quality strategy. You might also be interested in:
