The AI stages of change.

AI transformation is a human behavior change, not just a technology rollout.

A Caliko AI Maturity Model
01

Unaware

AI is already being used, but the organization has no clear view of it.

NeedsSee how people already use AI, which tools, and where risk is quietly building.

Common signs

  • Employees use AI tools informally.
  • Policies are unclear or outdated.
  • Leaders underestimate current AI use.
  • Risk is hidden because behavior is invisible.
02

Exploring

Employees and teams are experimenting, but use is uneven.

NeedsUnderstand where people feel confident, where they feel unsure, and what support would help.

Common signs

  • Some people are power users.
  • Some are curious but unsure.
  • Some are skeptical or avoidant.
  • Teams have different norms and comfort levels.
  • Training is generic or inconsistent.
03

Piloting

The organization begins testing specific tools, workflows, and use cases.

NeedsUnderstand what has to change before a pilot can become a real way of working.

Common signs

  • Teams run approved AI pilots.
  • Budget is assigned.
  • Security and legal review begin.
  • Success measures are defined.
  • Pilot teams get more support than the rest.
04

Adopting

AI becomes part of daily work and role expectations.

NeedsRole clarity, manager support, workflow redesign, governance, and a way to see whether work is actually changing.

Common signs

  • AI is embedded in normal workflows.
  • Employees are expected to use AI tools.
  • Managers need to coach AI-enabled work.
  • Quality, trust, and accountability get real.
  • Roles begin to change.
05

Transforming

AI changes how the organization operates, designs roles, and creates value.

NeedsSee which capabilities are growing, where gaps remain, and what the business is ready to do next.

Common signs

  • Workflows are redesigned around AI.
  • Some tasks disappear or shift.
  • New skills become more important.
  • Teams operate differently.
  • Leadership needs a clearer capability view.
↻

The loop

Repeat

A new model, tool, regulation, or risk appears, and the organization reassesses.

NeedsA repeatable way to reassess readiness, adjust workflows, and move through the cycle again.

Common signs

  • A new AI capability changes what is possible.
  • A vendor releases a major update.
  • A better workflow emerges.
  • A new risk or policy issue appears.
  • Teams need to explore again.

↻  Readiness is continuous — the cycle returns to 01

Inspired by Stages of Change: Prochaska and DiClemente, the Transtheoretical Model.