What should an AI readiness workshop cover?

AI readiness is not about buying more tools. It is about finding safe, useful workflows where AI can reduce cost or multiply output.

Direct answer

An AI readiness workshop should review operational workflows, data sensitivity, governance needs, high-ROI use cases, buy-versus-build options, tool risk, implementation sequence, and human review requirements.

Where companies get stuck

Many teams want to use AI but are overwhelmed by options and concerned about exposing confidential data to public models.

Balazs's workshop focus

The AI Readiness Workshop identifies 3 to 5 practical use cases and turns them into an actionable deployment roadmap.

Useful outcome

The leadership team should leave with a shortlist of use cases worth implementing and a clear view of risks to control.