AI audit for SMEs and teams
An AI audit separates useful business opportunities from noise. The goal is to identify use cases that are realistic, measurable and deployable with your team.
Map workflows where AI can reduce friction
Prioritize use cases by impact, effort, risk and data readiness
Build a 30/60/90-day roadmap with quick wins and technical prerequisites
Simple.
Measurable.
Executive goals interview
Sales, operations, training or support workflow review
Prioritized recommendations
Expected gains are framed as objectives or benchmarks from internal projects and must be validated against your own data.
Real situations.
Executive framing
Context
SME with several AI ideas but limited prioritization.
Evidence to collect
Expected output: use-case map, decision criteria, and measurable quick wins.
Sales workflow review
Context
Team collecting leads but missing scoring and follow-up structure.
Evidence to collect
Expected output: AI backlog prioritized by impact, effort, risk, and data readiness.
Questions
How long does an AI audit take?
The first qualification call takes 30 minutes. A complete audit usually takes a few days depending on scope and access to information.
Do we need structured data already?
No. The audit evaluates available data, gaps and realistic use cases before investing in tooling.
Want to frame the topic?
Book a call30-min call · Free · No commitment