For AI enablement leaders
The system for your AI enablement team. Find the use cases, track adoption and ROI, and scale what works.
You were hired to find where AI creates the most value, prove it, and get every team using it. Nolli maps how every team really works, so your use-case pipeline, KPIs and playbooks rest on evidence, not interviews.
Everything the job asks for, in one place. The four things every AI enablement role is measured on.
01
A use-case pipeline.
Every workflow in every team, ranked by hours, cost and how ready it is for AI. New ones appear as the work changes.
How discovery works →02
Adoption KPIs.
Which AI tools, skills and agents each team uses, on which work, and where people still do the job by hand.
How equipping works →03
Efficiency and ROI.
The same workflow done by people, by people with AI and by agents, measured on time, quality and cost per task.
How proof works →04
Reusable playbooks.
One team’s win becomes a skill, SOP or agent the next team can use, so you stop solving the same problem twice.
How decisions work →
From real work to working AI. Four steps, run for every team.
Nolli learns how every person, team and agent really works, from real work, and keeps the map current on its own.
Learn more →
Keep building. Your team already builds with n8n, Zapier and Claude. Nolli doesn’t replace them. It tells your builders which workflows to build first, writes the PRD when engineering takes it, and shows whether what you shipped is being used.
Frequently asked questions
We already build prototypes with n8n, Zapier and Claude. Where does Nolli fit?
Nolli tells you which ones to build. It maps how each team really works and ranks the use cases by hours and cost, so your builders start on the work that pays off. Keep building with the tools you like; Nolli can also write the PRD or build the agent.
How do you measure adoption?
By team and by workflow: who uses which AI tools, skills and agents, how often, and on which work. You see where adoption is high and where people still do the job by hand.
How do you measure ROI?
On your own work. Nolli measures the same workflow done by people, by people with AI and by agents, on time, quality and cost per task. Agents run in shadow mode first, so you see results before anything goes live.
How do teams self-serve?
What works for one team becomes a skill, SOP or agent the next team can pick up. While people work, Nolli points them to the one that already does the job.
Is this about replacing people?
No. Nolli works for your people. It makes them the experts, takes the busywork off their plates, and frees them for higher-value work.
Where should we start?
With one team where the pressure is highest. Nolli maps it, ranks the use cases, proves the best ones in shadow mode, then you take what works to the next team.
Start your use-case pipeline.
Start with one team. Nolli maps how it really runs, ranks the use cases, and proves the best ones before you scale.
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