AI adoption & impact

Measure AI adoption.
And its impact on delivery.

See who uses AI coding tools, how much your teams rely on them, and how your delivery changes as adoption grows. Across GitHub Copilot, Cursor, Claude Code and LiteLLM.

14-day free trial on every plan, no credit card required.

AI Adoption Score
Scoring reference: Organization benchmark
✉ Schedule a report
ContributorsTeamsProjectsGroups
Northwind12 teams
Adoption score57 /100
Reflexive useModerate
RelianceHigh
TrustIrregular
Team
Adoption score
Variation
Distribution
Scored
Payments API2 members
87 average
+28
1/2
Search Platform5 members
77 average
-8
3/5
Mobile App4 members
76 average
-3
4/4
Data Pipeline2 members
71 average
+5
1/2
Illustrative data
What you get

Licenses are easy to count.Value is not.

Axify brings the usage of every AI assistant into one view, shows who gets value from it and ties it to how your teams deliver.

Usage across every tool

Active users, interactions, tokens and last usage, for each AI assistant and each person.

Explore · Adoption
Who is using AI, and how much.
AI active users ▾
ContributorAI toolsInteractionsTokensLast AI usage
Daniel RoyClaude CodeCursor18.4K21.7BToday
Maxime CôtéClaude CodeLiteLLM12.1K14.3BToday
Olivier GagnonGitHub Copilot3.2K0.9B3 days ago

Who is moving up, and who is slipping

The biggest score gains and drops over 30 days, so you know where to follow up.

↗ Trending upvs the last 30 days
Daniel Roy88↗ +33
MNMarie Nadeau61↗ +24
Maxime Côté57↗ +19
↘ Trending downvs the last 30 days
Olivier Gagnon58↘ -36
EBÉtienne Bélanger24↘ -29
NLNadia Lévesque39↘ -27

By contributor, team, project and group

Each person’s score and level on all three pillars, with the variation over 30 days.

ContributorsTeamsProjectsGroups
ContributorScoreVariationReflexive useRelianceTrust
Daniel Roy97+2EliteEliteVery steady
Maxime Côté93=EliteHighVery steady
MNMarie Nadeau71+24HighModerateIrregular
Olivier Gagnon58-36ModerateHighIrregular
NLNadia Lévesque39-27ModerateModerateIrregular

Levels over time

The share of your contributors at each level, week after week, so you see whether the mix improves.

Explore · AI score
AI adoption level distribution ▾
EliteHighModerateLightUnscored
Illustrative data
The score

One score out of 100.Three pillars behind it.

Each contributor is ranked against a reference cohort. A team or organization score is the average of its contributors’ latest scores.

FREQUENCY

Reflexive use

How much AI is a reflex: the number of active days over the last 28 days.

INTENSITY

Reliance

How much people lean on AI when they use it: gross cost per active day.

REGULARITY

Trust

How steady the habit is: the regularity of the gaps between usage days.

AI impact

AI is a lever.Delivery is the goal.

Axify puts AI adoption next to cycle time, throughput and DORA metrics. In Explore, compare AI usage, tokens or cost with PR and issue throughput, by team or contributor.

Axify Intelligence
“Which team has the most potential?” Cloud Infrastructure has a 28% adoption rate and a 9-day cycle time. It’s where coaching would make the biggest difference.
Explore
AdoptionImpactCostsAI score
AI tokens ▾compared toPR throughput ▾
AI tokensPR throughput
Illustrative data
Axify MCP server

Ask about AI adoption.From the AI tool you already use.

Connect the Axify MCP server to Claude, ChatGPT or Cursor and ask about scores, usage and delivery in plain language. Answers come from your Axify data.

  • Understand why a team’s score dropped
  • Compare AI usage and PR throughput from team to team
  • Prepare a summary for your next leadership update
ClaudeChatGPTCursor
Explore the Axify MCP server →
AI adoption drop by team
Which teams lost AI adoption points this month, and why?
get_team_breakdownAxify›

Two teams dropped this month:

Search Platform went from 85 to 77. Reflexive use fell from High to Moderate, with fewer active days over the last 28 days.

Mobile App went from 79 to 76, mostly on Trust: usage became less regular.

Reliance is stable for both teams.

Reply…
+Claude ▾↑
How it works

From adoption to impact.In three steps.

STEP 01

Connect your AI tools

GitHub Copilot, Cursor, Claude Code and LiteLLM, read-only. LiteLLM also covers models routed through your proxy.

GitHub CopilotCursorClaude CodeLiteLLM
STEP 02

Connect your delivery tools

GitHub, GitLab, Bitbucket, Azure DevOps and Jira bring in pull requests, issues and deployments.

GitHubGitLabBitbucketAzure DevOpsJira
STEP 03

Act on the gaps

See who gets value from AI and who needs support, then follow the effect on delivery.

Frequently asked questions

Which AI tools does Axify support?
GitHub Copilot, Cursor, Claude Code (through the Claude Platform API, or OpenTelemetry telemetry for Claude subscriptions) and LiteLLM. With LiteLLM, any model routed through your internal proxy is covered.
How is the AI adoption score calculated?
Each contributor is ranked against a reference cohort on three pillars: Reflexive use (active days over 28 days), Reliance (gross cost per active day) and Trust (regularity of usage). A team or organization score is the average of its contributors’ latest scores, grouped into Elite, High, Moderate and Light levels.
Does Axify read our prompts or our code?
No. Every integration is read-only and only shares usage metadata, tokens and cost. Axify doesn’t retain any source code.
How much history will we get?
It depends on the tool. Copilot metrics start when the usage metrics policy is enabled in GitHub (up to 365 days). Cursor exposes 30 days at a time. Your delivery tools give up to a year of history from day one.
Can we see adoption by team or project?
Yes. The score, levels and trends break down by contributor, team, project and project group.
Can we ask Axify from Claude, ChatGPT or Cursor?
Yes. The Axify MCP server connects your Axify data to Claude, ChatGPT and Cursor, so you can ask about adoption, cost and delivery in plain language. Inside the app, Axify Intelligence lets you ask questions too.
Which plan includes it?
AI adoption and cost tracking and full AI impact analytics are included in the Pro and Enterprise plans. Every plan starts with a 14-day free trial, no credit card required.

Start measuring AI adoption.

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