Service

AI Evaluation

Most organisations are running AI they don't fully understand. We change that — giving you a clear, honest picture of what your AI is actually doing, where it's falling short, and what needs to happen next.

What is AI Evaluation?

AI Evaluation is a structured, independent assessment of the AI tools, models, and workflows your organisation is currently using or planning to adopt. It is designed for leadership teams and technology decision-makers who want to move beyond vendor claims and surface-level metrics — and understand what their AI is truly capable of, where the risks sit, and whether it is fit for purpose.

Three pillars:

01

Assess

We map every AI system in use across your organisation — its purpose, its inputs, its outputs, and its decision-making logic. Nothing is assumed to be working as intended until it has been tested.

02

Evaluate

Each system is tested against a defined set of performance, fairness, reliability, and compliance criteria. We surface the gaps between what the AI claims to do and what it actually does.

03

Advise

We translate findings into a clear set of prioritised recommendations: what to fix immediately, what to monitor, what to replace, and what to build on.

The Problem — What's at stake?

Organisations that deploy AI without independent evaluation are making consequential decisions on the basis of tools they don't fully understand.

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Hidden performance gaps

Most AI systems are evaluated by the vendors who built them or by internal teams without independent benchmarks. The result is that critical performance failures — wrong outputs, biased recommendations, unreliable predictions — go undetected until they cause visible damage to customers, operations, or reputation.

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Compliance exposure

AI regulation is accelerating. If you cannot demonstrate that your systems have been independently assessed, documented, and found to be operating within acceptable parameters, you face growing legal and regulatory risk — particularly in financial services, healthcare, and public sector contexts.

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Misaligned investment

Many organisations are paying for AI that is not delivering its claimed value. Without a rigorous evaluation framework, there is no reliable way to know which systems are generating return, which are neutral, and which are actively costing you more than they save.

Years of Experience

Industries Served

Projects Delivered

How it works & what to expect

STEP 01 — Discovery & scoping

We meet with your leadership, technology, and operations teams to understand which AI systems are in use, what decisions they influence, and what your primary concerns are. We agree the scope, set evaluation criteria, and confirm access requirements.

Deliverable: Scoping document and confirmed evaluation charter

STEP 02 — Systems audit & testing

Our team conducts a structured audit of each in-scope AI system. This includes reviewing model documentation, testing outputs against defined inputs, assessing data pipelines, and examining governance and oversight mechanisms. We apply both quantitative performance tests and qualitative judgement against regulatory and ethical standards.

Deliverable: Full audit log with per-system test results and findings

STEP 03 — Gap analysis & risk rating

We analyse findings across all systems and assign each a risk rating — critical, significant, moderate, or low. We identify root causes, map dependencies, and determine which issues require immediate action versus ongoing monitoring.

Deliverable: Gap analysis report with risk ratings and root cause mapping

Step 04 — Recommendations & roadmap

We present findings to your leadership team in plain language. Every recommendation is tied to a business outcome, a timeline, and an estimated level of effort. You leave with a clear action plan — not a list of problems.

Deliverable: Prioritised recommendations report and 12-month action roadmap, plus executive presentation

Not sure what your AI is really doing?

Book a scoping call. We will tell you exactly what an evaluation would cover for your organisation, what it would find, and what it would cost — with no obligation to proceed.

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