AI readiness is an assessment of the gap between where an organization is and where it needs to be to successfully deploy AI. It covers four dimensions: data (do you have the data AI needs, is it clean and accessible?), technology (can your infrastructure support model APIs and ML workflows?), talent (do you have people who can build and maintain AI systems?), and process (are your workflows structured enough for AI to plug into them?).
Many organizations discover that their biggest AI readiness gap isn't technology — it's data quality and process documentation. AI can't automate a process nobody has written down, and it can't retrieve information that lives in someone's head or an unindexed SharePoint folder.
A readiness assessment is a good starting point for any AI engagement. Use our AI Readiness Scorecard to get a quick diagnostic.
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Knowing the term is one thing. Shipping it is another.
We do two-week AI Sprints — one term, one workflow, into production by Day 10.