AI readiness assessment

It means you have a specific workflow worth automating, source information that is accurate and approved, a human review path for consequential outputs, a clear position on privacy and vendor access, and a way to measure whether it worked. Without those, AI tools produce confident mistakes at speed rather than leverage.

This assessment is about your business adopting AI internally — whether a chatbot, agent or automation is a sensible investment right now. The AI search readiness checker analyses a public web page and scores whether AI assistants such as ChatGPT and Perplexity can find, understand and cite it. Different question entirely: one is about using AI, the other about being visible in it.

Often not, and a good partner will say so. If a process is genuinely standard, a mature off-the-shelf product usually solves it for a fraction of a custom build. AI earns its place where a high-volume, repetitive path exists and the exceptions can stay manual by design.

Documentation and data quality. AI systems reflect the source material they are given, so scattered or outdated knowledge produces scattered or outdated answers. Cleaning that up is unglamorous and it is almost always the highest-return preparation you can do.

Whoever performs the workflow today, because they know the exceptions nobody wrote down, plus someone who can approve what the system is allowed to say or do. Projects scoped only with leadership tend to automate the process as imagined rather than the process as practised.