Axify Intelligence

Ask your engineering data.
Get clear answers.

Ask about delivery, AI adoption and AI cost in plain language. In the Axify app, from Claude, ChatGPT or Cursor through the MCP server, or in an AI summary of your scheduled reports.

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Northwind›Platform›Atlas›Pull requests Ask Axify Intelligence
Pull requests cycle time breakdown
1d 9hrs +18%
Based on 412 merged pull requests
Coding 11hPickup 14h +75%Review 8h
Ask Axify Intelligence×
Why did our PR cycle time go up this month?
Mostly pickup time: 14 hours on average before a first review, up from 8 hours last month. Coding and review are stable. 6 PRs waited more than 2 days for a first review.
Ask a follow-up…↑
Illustrative data
What you get

Your metrics, in plain language.Wherever you work.

Dashboards show what changed. Axify Intelligence helps you understand why, and tells the story in a few sentences.

Ask in the app

Open the chat on any project and ask about the data you are looking at.

Ask Axify Intelligence
Which team has the longest pickup time?
Mobile leads with 19 hours, then Payments at 12 hours. The other teams stay under 8 hours.
Mobile19h
Payments12h
Search7.5h
Data6h

Ask from your AI tool

Connect the Axify MCP server to Claude, ChatGPT or Cursor. It is read-only and respects each user’s permissions.

How did deployment frequency change since we rolled out Claude Code?
get_timeseriesAxify›

Deployment frequency went from 3.1 to 4.6 per week over the last 12 weeks, while AI active users doubled. Change failure rate stayed under 5%.

An AI summary in your reports

Schedule a report by email and get the key changes summarized for you, ready to share.

AxifyEvery Monday, 8:00
Your weekly report: Platform group
AI summary
Delivery sped up this week: issue cycle time dropped 12% and 38 PRs were merged. Pickup time is the main slowdown on Mobile. AI adoption rose to 61/100.
Issue cycle time2d 6h-12%
Merged PRs38+9%
AI adoption61+4

Alerts when something changes

Get notified when a metric moves, so you follow up before the next retro.

Coming soon
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AI adoption dropped on Search

Score went from 78 to 69 in 2 weeks. Reflexive use fell from High to Moderate.

✓
Pickup time back to normal on Payments

Back under 8 hours for 3 weeks in a row.

Illustrative data
Questions you can ask

Start with a question.Not with a dashboard.

ENGINEERING LEADERS

Prepare the next update

  • How did our DORA metrics change this quarter?
  • Which teams improved delivery the most?
  • Is AI adoption moving with throughput?
TEAM LEADS

Find what slows the team

  • Where do our PRs wait the longest?
  • Which issues took more than 10 days?
  • Did review time go down since last sprint?
FINANCE AND LEADERSHIP

Follow the AI budget

  • What did AI cost per team last month?
  • Which models drive most of the spend?
  • Who uses AI tools every day?
From answer to action

Understand where time goes.Then decide what to change.

Answers rely on the same data as your Axify dashboards: time to delivery, cycle time, DORA metrics, AI adoption and AI cost. Ask a follow-up to dig into a team, a project or a period.

  • Breakdowns by team, project, group and contributor
  • Comparison with the previous period
Explore the Axify MCP server →
Time to delivery
Last 90 days
Planning2d 4h
Awaiting development6d 2h+64%
In development4d 8h
Post development1d 3h
Where do we lose the most time before delivery?
Axify IntelligenceIn awaiting development: 6 days on average, up 64%. Issues mostly wait on Mobile, which has 14 ready issues not yet started. Limiting work in progress could shorten this wait.
Example answer, illustrative data
AI ADOPTION & IMPACT

Measure AI adoption and its impact

A score out of 100, three pillars, and the link with delivery.

Explore AI adoption →
AI COST & FORECASTING

Track what AI costs, and where it’s heading

Gross cost by tool, model, team and contributor, with a projected trend.

Explore AI cost →
How it works

Connect once.Ask anywhere.

STEP 01

Connect your tools

GitHub, GitLab, Bitbucket, Azure DevOps and Jira, plus your AI coding tools. Read-only.

GitHubGitLabBitbucketAzure DevOpsJira
STEP 02

Ask in the app or your AI tool

Use the chat on any project, or connect the MCP server with an OAuth sign-in, no API key.

ClaudeChatGPTCursor
STEP 03

Schedule your reports

Pick a view, a frequency and recipients. Each report comes with an AI summary.

Frequently asked questions

What is Axify Intelligence?
Axify’s AI layer. It answers questions about your engineering data in plain language: in the app, from your AI tool through the MCP server, and in the AI summary of scheduled reports.
Which AI tools work with the Axify MCP server?
Claude (desktop and Claude Code), ChatGPT (Business, Enterprise and Edu), Cursor and any MCP client that supports remote HTTP and OAuth.
Where do the answers come from?
From the same data as your Axify dashboards: delivery metrics such as cycle time, throughput and DORA metrics, plus AI adoption and AI cost. Each user only sees the data their permissions allow.
Does Axify read our code or prompts?
No. Every integration is read-only and only shares metadata. Axify doesn’t retain source code.
Can we get answers by email?
Yes. Schedule a report from any view, choose the frequency and recipients, and each report comes with an AI summary of the key changes.
Which plan includes it?
Axify Intelligence and MCP access are included in the Pro and Enterprise plans. Enterprise includes unlimited MCP usage. Every plan starts with a 14-day free trial, no credit card required.

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