AI Journey Walker
See what AI use looks like in an organization like yours, and what to do about it
Walk through 40 findings in 8 areas, from AI search to agentic workflows. At each one, see what is happening, choose a first response, and compare it with the one we recommend.
Describe your organization
Industry, size, your role and how far AI use has gone. About a minute, and no sign-up.
Walk the map
Open a finding, choose what you'd do first, and compare it with the recommended response. See sample data for a company like yours, or try a short scenario.
Take away a report
Where to start, the starter policies that go with it and the sources behind them, with a link to share.
The areas you can walk
- AI Estate & Shadow AIWhat AI is actually in use here?
- Adoption & FluencyWho is using AI well, and who is not?
- Spend & Model EconomicsWhat does AI cost, and is the spend right?
- Data & Secrets ExposureWhat is leaving, and where does it sit?
- Oversight & Output IntegrityWho checks what AI produces?
- Access & Agent BehaviorWhat can agents reach, and what do they do?
- ContinuityWhat breaks if a model or a person goes away?
- Regulatory ReadinessCan you show an auditor what you did?
Five levels of AI use
What each looks like, what to watch, and how to govern it.
- L1SearchAI search and summariesWatch: Inventory, spend, who uses what.Govern: Nothing to block yet; an approved list at most.
- L2AssistantsChat assistants in daily workWatch: Usage by department, data in prompts.Govern: Approved tools, safe lanes, coaching.
- L3Simple agentsAgents on small, bounded tasksWatch: Agents as workers, who checks the output.Govern: First policies, human-in-the-loop rules.
- L4AI-built appsCode and apps written with AIWatch: AI-built workflows and code.Govern: Continuity plans, guardrails at the boundary.
- L5Agentic workflowsAgents working inside your systemsWatch: Agent behavior baselines.Govern: Runtime policy, a stop button with evidence.