Is your AI doing
what you think it is?
As AI becomes embedded in your core operations, hoping it works correctly is no longer a strategy. iwow conducts independent, comprehensive AI audits — validating output, assessing compliance, and uncovering what your own teams can't see from the inside.
Four Reasons Organisations
Can't Afford to Skip AI Validation
Most organisations deploy AI systems without any formal validation process. The problems this creates tend to surface at the worst possible moments.
AI models produce confident-sounding wrong answers, miss critical edge cases, and exhibit logic failures that only appear under specific conditions. Without structured testing across real scenarios, these failures remain hidden — until they affect a customer, a decision, or a regulatory review.
GDPR, the EU AI Act, and internal data governance policies create compliance exposure that most AI systems weren't designed around. Customer data in context windows, uncontrolled data retention, and inadequate access controls are common findings — and they don't generate error logs.
Inefficient prompts, wrong model selection, missing caching, and redundant API calls are expensive — and invisible without a dedicated audit. Most organisations are spending significantly more than they need to on AI infrastructure, and the gap widens as usage scales.
Third-party AI tools come with vendor-produced safety and compliance claims. Rolling them out to your users or connecting them to your data without independent verification means accepting risk you haven't assessed — and responsibility you may not be able to disclaim.
Three Dimensions of
Every AI Audit
A rigorous AI audit covers performance, compliance, and cost — because a system can pass one dimension and fail critically on another.
Performance & Output Validation
Does your AI actually produce correct, reliable output — or does it just sound convincing?
We run structured test suites across the real scenarios your AI encounters, including adversarial inputs, edge cases, and the failure modes most likely to cause problems in your specific context. The result is a clear picture of where the system is trustworthy and where it isn't — with evidence, not assumptions.
Risk & Compliance Assessment
Is your AI handling data in a way that meets your legal and governance obligations?
We evaluate your AI implementations against GDPR, the EU AI Act, and your internal data governance and security policies. We look at how data flows through your system, what ends up in model context, how outputs are stored, who has access, and what audit trails exist. Findings are prioritised by legal exposure and remediation complexity.
Cost & Resource Efficiency
Are you spending what your AI usage is actually worth — or significantly more?
We audit your AI infrastructure costs in detail: token consumption patterns, model selection against task complexity, prompt design efficiency, caching strategy, call frequency, and redundant processes. In our experience, organisations that haven't done this audit are almost always overspending — and the savings identified are almost always significant. We produce a prioritised optimisation roadmap with estimated impact for each item.
From First Call to
Actionable Findings
A structured audit process designed for enterprise AI environments — fast to mobilise, thorough in coverage, clear in output.
We work with you to define which AI systems, agents, or tools are in scope — and what success looks like. A clear brief means findings you can act on, not a survey of everything at once.
We run the audit: structured performance testing, compliance evaluation, security assessment, and cost analysis. All work is done independently, using real scenarios from your environment.
We deliver a clear, prioritised report. Every finding is documented with evidence, severity, business impact, and a recommended action. Structured for your technical team and legible for your leadership.
If needed, we can support remediation — helping your team fix what the audit identifies. We don't disappear after the report. We know the findings better than anyone, so we can accelerate the fix.
Four Situations That Call
for an Independent Audit
The right time to audit is before a problem becomes a public one. These are the situations where organisations most commonly reach out to us.
If your legal or compliance team has started asking questions about your AI deployments — or if you know you haven't mapped GDPR exposure in your AI systems — an audit gives you the independent picture you need to act with confidence.
When you can't predict what your AI will do in a given situation, or when outputs vary in ways that undermine trust, the problem is usually in the prompt design, model selection, or evaluation framework. An audit identifies the root cause — not just the symptom.
Vendor assurances are a starting point, not an endpoint. Before connecting a third-party AI tool to your data or deploying it to your users, we give you an independent technical and compliance assessment — so you know what you're actually deploying.
The best time to audit AI infrastructure costs is before inefficient patterns scale with usage. An early audit identifies where you're overspending and sets you up with a cleaner architecture — before the monthly bill makes the conversation urgent.
Ready to find out what your AI is actually doing?
A conversation costs nothing. Tell us about your AI environment and we'll come back with a clear picture of what an audit would look like for you.
Talk to Us →Frequently Asked Questions
What does an iwow AI audit actually cover?
Every audit covers three dimensions: performance and output accuracy (testing what the AI produces against real scenarios), risk and compliance (assessing GDPR exposure, data handling, and security), and cost efficiency (auditing API usage, model selection, and infrastructure spend). Scope and depth are agreed at the start based on your priorities.
How long does an audit take, and what does it require from our team?
A focused audit on a specific AI system or agent typically runs two to four weeks. We need access to documentation, system architecture, and logs — and a few hours of your technical team's time for scoping and walkthrough. We do the assessment work independently. A broader audit covering multiple systems takes longer, and we scope this precisely upfront.
What do we get at the end?
A structured report with every finding documented — evidence, severity rating, business impact, and a recommended action. Findings are prioritised so your team knows where to start. We also walk you through the report in a dedicated session and are available to answer questions as your team works through remediation.
Can you audit third-party AI tools we didn't build ourselves?
Yes. Third-party tools are in many ways the most important to audit — because you have less visibility into how they work and can't fix what you find internally. We assess the tool's behaviour in your environment, its data handling, its compliance posture, and whether the vendor's claims hold up under independent testing.
Which regulations and standards does the compliance assessment cover?
We assess against GDPR (including data minimisation, purpose limitation, and the right to explanation where relevant), the EU AI Act requirements applicable to your system's risk category, and your own internal data governance and security policies. We also flag exposure under sector-specific regulations where applicable.
Do you also help fix what the audit finds?
Yes, if you want us to. The report is yours to act on independently — but we can also stay involved to support remediation. Since we understand the findings in depth, we can accelerate the work considerably. We scope this separately based on what the audit surfaces.
An AI audit gives you a clear picture of where things stand today. For continuous visibility into what your AI agents are doing, how processes are performing, and where problems appear as they happen — iwow's AI Observability & Process Analytics product provides real-time monitoring powered by QPR Process Intelligence.
See AI Observability & Process Analytics →Find Out What Your AI
Is Actually Doing
An independent audit takes weeks, not months — and the findings almost always reveal something worth knowing. Let's talk about your AI environment.
Request an Audit →Let's Talk About Your AI
Tell us about the AI systems you're running or planning to audit. We'll come back quickly with a clear picture of what an audit would look like for your environment.