Glossary Strategy & implementation

AI audit

What is an AI audit?

An AI audit is a focused review of your processes and data that maps where AI saves you the most time or errors, and what it takes to get there.

Also known as AI scanAI readiness scan

Before you build anything, you want to know where AI pays off for you and where it does not. An AI audit makes that visible: we walk through your departments and processes, look at where time leaks away and data gets stuck, and map which opportunities are quick wins and which call for a real implementation.

The result is not abstract advice but a concrete map: these processes lend themselves to AI, this is where the most value sits, this is the sensible first step, and this you are better off leaving for now. Including an honest verdict if a simple tool already does the job.

It is deliberately the cheap, low-risk first step. You invest two weeks in clarity instead of months in a gamble. Book one at AI audit.

Last updated: 18 June 2026

Relatedterms

Read on in the glossary

All terms

Strategy & implementationAI implementation partnerAn AI implementation partner is an agency that does not just advise on AI but actually builds it, connects it to your systems, and keeps it running in your day-to-day processes.Strategy & implementationAIOS (AI Operating System)An AIOS is an AI layer that sits on top of your existing systems, reads data from all of them at once, and runs processes that affect the whole organisation, not just the individual employee.Approach & collaborationProof of Concept (PoC)A proof of concept is a small, fast version of an AI solution that proves the idea works on real data, before you invest in a full build.Strategy & implementationAI ActThe AI Act is the European law that sets rules for developing and using AI, with stricter requirements the more high-risk an application is.

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