Memory
Decisions, evidence, and experience remain available when the work moves.
Context + Coherence
Competence is cheap. Context is not.
AI readiness is not another copilot. It is a coherent state across the systems, decisions, memories, and relationships that make work meaningful.
The hidden work01 02 03
People have been the integration layer.
They carry the history between meetings, remember why a decision was made, translate priorities for the next team, and notice when a signal does not fit the story. AI cannot simply imitate that layer. It has to be designed into the operating model.
Judgement
Context helps people and agents distinguish a useful signal from a noisy one.
Continuity
Every handoff carries enough meaning for the next action to stay faithful.
The operating implication
Context is not a data problem alone.
It is a design problem across journeys, information, decision rights, agents, governance, and learning. That is why context belongs in the operating model, not in a separate AI layer.