AI Transformation
turn aipotentialinto Provenvelocity
From initial pilot to broader enterprise rollout,
confidently accelerate AI rollouts. Faros measures the productivity impact and ROI of AI coding tools.
Essential visibility to strategically scale engineering AI transformations
Measure impact and ROI
Quantify how AI impacts productivity, quality, and the developer experience.
Accelerate adoption
Harness cross-SDLC visibility to deploy AI strategically and safely, without hesitation.
Stay in control
Mitigate risk and stay ahead of the curve with appropriate governance and guardrails.
"Data-driven insights into our engineering processes empower us to deliver greater value to our clients faster and more efficiently.”
Turn AI adoption into measurable ROI
From coding assistants to autonomous agents, AI is reshaping how teams build. Faros helps you measure what's working and fix what isn't.
Accelerate AI adoption with a proven step-by-step framework
Pilot, learn, and scale using a results-driven framework. From onboarding to activation, ensure AI adoption sticks—with built-in gamification, enablement, and executive visibility.
- Power user and dormant license identification
- Cohort comparisons, tool A/B tests, and before-and-after metrics
- Weekly executive summaries, insights, and recommendations
Get the real ROI of AI coding tools—no guesswork
Unlike other solutions, Faros measures AI coding assistants' and agents' impact accurately, filtering out noise and confounding factors.
- Capture true ROI signals with precision analytics and causal analysis
- Identify the best coding assistant and model for your teams
- Share a CFO-ready report built on a trustworthy business case
Every productivity dimension matters
Velocity is not the whole story. Track AI’s impact on code quality, security, developer satisfaction, and tech debt accumulation.
- Measure leading indicators and lagging outcomes
- Administer surveys to understand the evolving developer experience
- Act swiftly based on personalized AI recommendations
Pinpoint what’s helping—and what’s holding you back
Immature processes and platforms wipe away AI gains. Faros highlights shifting bottlenecks and alerts on missed opportunities.
- Detect where A is under-performing
- Diagnose bottlenecks and implement fixes
- Get alerts when gains stall or decline
Enforce safety and quality—right in the IDE
AI-generated code can introduce risk. Faros distinguishes between human and machine-generated code to inform your oversight.
- Flag PRs that require extra scrutiny
- Monitor code quality with real-time checks
- Enforce governance and guardrails at scale
AI Is Everywhere.
Impact Isn’t.
75% of engineers use AI tools—yet most organizations see no measurable performance gains.
Read the report to uncover what’s holding teams back—and how to fix it fast.
We’ve got you covered.
Here are a few highlights.
These are some of the main areas and popular metrics we cover. There's lots more to discover.
Adoption and usage
- % of AI-generated code by repo and PR
- License utilization per team
- Feature usage by language and editor
- Multiple coding assistant comparisons
Pilots and evaluations
- A/B comparisons and ROI calculations
- PR merge rates, PR review time
- Diff size, code smells, test coverage
- Developer satisfaction and time savings
Rollout and impact
- Feature, task, and code cycle times
- CFR, bugs, incidents, vulnerabilities
- Emerging bottlenecks and infrastructure gaps
- Backlog health and delivery outcomes
Governance
- AI-generated code tagging
- Policy orchestration for risk mitigation
- Codebase health metrics and refactoring alerts
- Audit trails for AI regulatory compliance
Unlock real AI impact with Faros
See the platform in action.