What Phase of AI Are You In?
A short assessment that turns your tools, systems, governance, and first workflow into a practical AI maturity read.
11 questions · 3 sections · ~2 minutes
Section 01
Context
Who you are and how big the rollout is.
What is your role in the AI rollout?
This changes the recommended next step and who needs to be in the room.
What is the rough size of the organization or unit?
Rollout shape changes a lot between a focused team and a multi-system enterprise.
Section 02
Maturity today
Tools, usage, systems, access, governance, and where AI runs.
Which AI stack is actually in use today?
This tells us whether you are still choosing tools or already need a model-agnostic layer.
How does your team use AI today?
Pick the highest level that is already real, not the roadmap slide.
How fluent is the team in MCP, skills, agents, and connectors?
A vocabulary gap is fine. It just means enablement has to come before platform work.
Which systems would AI need to touch first?
This is where the assessment becomes concrete.
What can AI access or change today?
Access level is often the real maturity ceiling.
How governed are AI workflows today?
This tells us whether the next step is experimentation, controls, or production operating model.
Where do AI workflows run?
The surface matters: chat, workplace tools, internal systems, cloud agents, or product.
Section 03
Next move
Where you want to start and what is holding it back.
Which workflow would create the most pull internally?
A good first wedge is useful, visible, and narrow enough to ship.
What is the main reason this has not moved faster?
The bottleneck determines whether the next step is strategy, integration, governance, or delivery.
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