When is process data ready for AI agents?

Agent Readiness describes whether an organization’s process data is structured such that AI agents can work on it reliably. This includes unambiguous identifiers, dependable timestamps, clearly named activities, modeled object relationships, and a documented semantic model. If any of these is missing, an agent will still produce answers – just not dependable ones.

Why does this matter?

Most failed AI initiatives fail not on the model but on the data foundation. Assessing Agent Readiness early prevents effort flowing into agents whose statements nobody can later stand behind.