Organizational Intelligence Maturity Model

A practical five-stage flow that shows where your organization is now, where risk builds, and what to do next.

Tap a stage to view its playbook

Choose the stage that best reflects your current operating reality

Stage 1

Tool experimentation

Teams try AI tools in isolated pockets without a shared operating model.

What this stage looks like

  • AI usage depends on individual champions, not company standards.
  • Teams use different tools for similar tasks with little coordination.
  • Wins are visible but difficult to repeat across the organization.

Where it breaks

  • Tool sprawl increases software cost without consistent return.
  • Knowledge stays local to teams and disappears when people change roles.
  • Leadership lacks reliable visibility into true business impact.

Next move

  • Select 2-3 priority workflows where AI can produce measurable business value.
  • Assign one executive owner to define success and accountability.
  • Set baseline metrics before scaling any tooling decisions.

What to track

  • Time saved on high-frequency workflows
  • Adoption consistency across teams
  • Cost per pilot versus realized business outcome

Governance focus

  • Create minimum rules for approved tools, data handling, and review cadence.
  • Document basic usage boundaries for sensitive information.