Maximize AI’s potential with data-led strategies
AI is transforming the software development lifecycle—with new tools and features introduced every day.
Faros AI helps maximize AI's value by delivering the insights you need to ensure every investment in AI technology drives measurable productivity and efficiency returns.
How Faros AI provides essential visibility into AI transformation
ROI Metrics
Prove AI’s ROI in the boardroom
The cost of AI investments mounts quickly.
Faros AI provides continuous ROI calculations that help you tie license costs to productivity impact and profitability.
Start with a clear baseline of engineering productivity
Faros AI establishes a pre-AI baseline across velocity, code quality, security, and developer satisfaction and then measures AI’s impact. We quantify the economic benefit over time, translating the productivity gains into ROI dollars.
Trace AI’s impact across the entire software delivery lifecycle
Coding speed and throughput alone don’t paint the whole picture when engineering workflows span multiple tools. From IDEs and Git to CI/CD and Jira, Faros connects the dots into one cohesive view. We trace the impact of coding assistants on lead time, code quality, incidents, and your security posture.
Isolate AI’s impact from other ecosystem factors
Correlation is not causation. Faros AI uniquely applies causal analysis to separate AI’s effect from factors like team composition and project complexity. You’ll know if performance gains are genuinely due to AI and address any doubts in the boardroom.
Strategic Guidance
Navigate AI deployment with clear, data-driven milestones
AI adoption is not one-size-fits-all.
Whether you're piloting with fifty licenses or rolling out to 5,000 engineers, Faros AI helps identify where Copilot adds value and how to scale strategically—across teams, tech stacks, projects, and workflows.
A prebuilt analytics framework to inform your rollouts
Faros AI’s structured framework helps you confidently scale AI initiatives. From pilot to full adoption, a series of dashboards, benchmarks, and workflows provide the right metrics and milestones for every deployment stage.
Proactive AI adoption strategies and interventions
Most AI tool rollouts plateau at 30% adoption. Faros helps reach 85%+ through gamified adoption nudges, power user identification, and auto-generated executive summaries. It surfaces teams that are thriving or need support, activating dormant users with targeted insights.
Identify the highest beneficiaries of new technologies or features
Faros AI lets you run A/B tests to compare cohorts by frequency of use, seniority, training level, coding language, and more. See exactly which tools work best for each team, ensuring the right tech is driving impact.
Governance and Guardrails
Ensure the long-term viability of your code
As AI generates more code, oversight, traceability, and quality control become essential.
Faros AI ensures your AI adoption doesn’t introduce code bloat, technical debt, or security risk.
Codebase monitoring for AI at scale
Faros AI identifies code quality issues, high rework rates, or spikes in vulnerabilities for Copilot-heavy code. You’ll be notified before issues snowball, preserving team velocity without compromising quality.
Detect bottlenecks quickly to maximize gains
Upstream or downstream bottlenecks can erase the time savings generated by AI.
Faros AI alerts you in real time to emerging bottlenecks—so you can address potential issues and ensure smooth workflows throughout the development process.
Evaluate and compare new AI tools with confidence
Stay ahead of the curve by easily comparing new tools and updates. With Faros AI, you can continuously evaluate new developer tools and monitor updates to those you already use. Compare before-and-after performance and assess downstream effects—all with data you already collect.
SmartBear supports rapid growth by measuring outcomes with Faros AI
I have a snapshot I can easily analyze, which was a lot harder to do when we were manually pulling these things together, and every team had their own way of reporting it.
The Ultimate Engineering Productivity Handbook
What to measure and why it matters.
How to collect and normalize productivity data.
The key to operationalizing metrics to drive impact.
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