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AI maturity model: how to move your teams from assistant to system

Downloads | AI workshop guides

An AI maturity model tells you how far your teams have moved from using AI for ideas to running whole workflows on it. At aiblLIVE London 2026, Laura Gregg and Tashan Dunbar of Notion ran a workshop on its four-level model. Each table then mapped one real workflow.

The aim was practical. Find where your teams sit and pick one workflow. Mark where people must approve and where AI can help, then leave with one action for the next 30 days. This page gives you the model and the method.

What are the four levels of AI maturity?

Notion’s model has four levels. At level 1, AI is a thought partner for exploring ideas. At level 2, it is an assistant that helps people finish tasks faster. At level 3, it automates repetitive team work. At level 4, critical workflows run across the company as a system, with people still at the review points.

How do you find which level your company is at?

Place each team separately, because one company often sits on several levels. Gregg hears customers say one team is at level 3 while the wider business is at level 2. In the room, most attendees put their company between levels 2 and 3. A short self-assessment then let them check their gut feel against survey answers.

We can get to level 1 and 2 relatively quickly, but then I have to make that shift into 3 and 4.

Laura Gregg, Head of UK and Ireland Sales, Notion

How do you map a workflow for AI?

Choose one real workflow, such as campaign brief to live, and write down how it works today. Then mark where the work gets stuck, and where the bottleneck will move once AI speeds up a step. Mark where a person must approve, then where AI can help. Finish with one action you can take in the next 30 days.

Why does AI need shared context to scale?

Because AI work done in personal chats stays with the person who did it. Dunbar argued that outputs should live in a shared space where colleagues and agents can find them. Agents should draw on company context under each user’s permissions, and pull only what a task needs, which also keeps token costs down.

The best way to make that more optimal for your business is to have context portability.

Tashan Dunbar, Enterprise Solutions Consultant, Notion

Key takeaways

  • Place each team on the four levels. Different teams will sit at different levels.
  • Map one real workflow. Bring the people who do the work.
  • Mark human approvals first. Then decide where AI goes.
  • Set one 30-day action. Give it an owner and a date.

About the workshop

Notion logo

Laura Gregg is Head of UK and Ireland Sales at Notion and helped build its AI transformation model with customers. Tashan Dunbar is an Enterprise Solutions Consultant at Notion. They ran this workshop on the AI Infrastructure track at aiblLIVE London on 20 October 2026.

What’s in the full guide

If your AI use is stuck with a few keen individuals, this is a method you can run with a team next week.

  • The four-level AI maturity model, with how to place each team.
  • The seven-step workflow map from the workshop tables.
  • A worked example that takes one product question from level 1 to level 4.
  • Two templates and a checklist to run the session yourself.

For COOs, transformation leads and heads of operations. Seven pages, about a nine-minute read.

Map your next AI workflow

AI maturity model: how to move your teams from assistant to system
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