Measure the real impact of AI on your development
You're using AI-assisted programming tools, but do you know if they're really saving you time, and by how much? Axify turns AI into a measurable, strategic and profitable lever for your teams.
Turn AI into a measurable competitive advantage
You're coding faster thanks to AI, but are your ideas getting to production faster? Axify measures the impact of AI across your entire development cycle to identify whether AI is improving your delivery time.
Understanding actual usage to maximize impact
Which tools are used? At what pace? By which teams? Axify gives you a simple, centralized and comprehensive picture of actual adoption in your organization.
Connect adoption to performance
Quantify the impact of AI on delivery speed, quality, and productivity throughout the software development lifecycle.
Measure and maximize the ROI of AI assistants
Quantify the productivity gain and ROI of each AI assistant in your pipeline.
The impact of AI, finally visible
Axify integrates easily with all your tools to provide a 360° view of AI-assisted software development adoption and impact.
From adoption to impact
AI is changing the way your teams work. Axify helps you understand and optimize this transformation.
Connect your tools
Integrates seamlessly with the software and wizards used by your development teams to automatically extract AI-assisted programming data.
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Integrations and webhooks for all the tools your team already uses
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Set-up in just a few minutes
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Loading historical project data
Precise monitoring of adoption by your teams
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Measure usage: To what extent are your teams using AI to perform different tasks?
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Measure the level of trust: How confident are your teams in what AI generates?
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Measure the operating reflex: How often is the AI used to do the job?
Measure the effect of AI on your delivery cycle
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Compare performance with and without AI to see if you're really delivering faster
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Visualize the correlation between AI adoption and cycle time
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Analyze trends by team, project or business line
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Easily demonstrate ROI to management
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Identify friction points or bottlenecks introduced by AI
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Track the actual use of each AI assistant by your teams and identify the AI tools that generate the most value
Maximize the adoption and impact of AI assistants
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Compare team performance with and without AI support
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Spot the teams and projects that generate the most value thanks to AI
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Leverage your early adopters to accelerate global adoption
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Turn AI best practices into organizational standards
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Prioritize training and resources where they have the least impact
Complete guide to DORA metrics
Download our complete guide to DORA metrics to learn more and get ideas for improving your performance on each indicator.
Start measuring the impact of AI today
Discover how AI adoption really impacts your productivity and deliveries. Axify enables you to quantify, control and increase tenfold the impact of AI on your teams and projects.
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Frequently asked questions
Everything you need to know about Axify.
AI adoption varies significantly from one developer to another. Measuring it allows you to understand who is actually using AI assistants, to what extent, and whether this adoption has a positive impact on productivity and code quality. Without metrics, it is impossible to optimize adoption or justify the investment.
Axify correlates the use of AI software development tools with your key process metrics: throughput, cycle time, rework, PR quality, delays, and more. You can see whether AI is accelerating delivery or creating new bottlenecks.
Axify can measure the impact of various AI assistants such as GitHub Copilot, Cursor, Claude Code, and other popular tools. It provides clear visibility by tool, team, and line of business, helping you choose the highest-performing solutions.
AI adoption goes far beyond the number of licenses paid for by your organization. Axify measures adoption based on the three dimensions reported by the DORA group in their latest State of AI-assisted Software Development report:
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Actual usage (last used, frequency)
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Confidence level (acceptance rate)
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Habitual use (number of interactions)
This helps you understand actual adoption, rather than just how many licenses have been activated.