The GAINS™ Framework

A new diagnostic for measuring generative AI’s impact on engineering performance

Pave the road to higher AI gains

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Discover what's holding back your AI investment

Despite widespread adoption of AI coding assistants, most engineering organizations are struggling to turn that activity into performance improvements. Velocity gains reported at the developer level are being wiped away by review bottlenecks, weak usage patterns, and structural misalignment. At the organizational level, AI impact is flat.

Our analysis of over 10,000 developers across 1,255 teams shows no consistent correlation between AI usage and delivery outcomes. No visible impact on throughput, quality, flow, or DORA metrics.

The problem isn’t the technology. It’s the system around it.

You can’t optimize what you can’t see. That’s why leading engineering organizations are turning to GAINS™, the Generative AI Impact Net Score, to expose where AI is working, where it’s blocked, and what to do next.

GAINS™ is your AI engineering diagnostic

Built on live engineering telemetry and validated against real-world outcomes, GAINS is a data-backed framework that allows engineering leaders to:

  • Benchmark AI adoption and maturity across teams, tools, and peers
  • Quantify AI's impact across ten critical transofrmation dimensions
  • Tie AI engineering outcomes directly to financial performance
  • Identify organizational and workflow bottlenecks that neutralize gains
  • Prioritize the right investments to unlock impact, fast

GAINS measures performance across ten transformation dimensions that define modern engineering readiness for AI.

10 AI transformation dimensions for software engineering measured by GAINS™

These ten dimensions, ranging from adoption, usage, and flow efficiency to quality, onboarding, and organizational design, reflect the full spectrum of what it takes to operationalize AI at scale. Each dimension is linked not only to engineering outcomes but to business performance.

Because GAINS connects AI usage directly to productivity, delivery velocity, and developer experience, it becomes a shared metric, aligning engineering and finance on where value is being created or lost.

Unlike traditional engineering metrics, GAINS isn’t just backward-looking. It’s a forward-looking system that shows where value is being lost and how to recover it.

Why GAINS, why now

Engineering teams are entering the agentic era, where AI is not just assisting but increasingly executing. Yet most organizations are still operating with pre-AI metrics, structures, and playbooks.

GAINS provides the visibility and structure required to scale AI impact with confidence. 

With each quarter of delay, the performance gap between AI-first companies and everyone else is widening. The sooner you measure, the sooner you can course-correct.

Let's move beyond the hype

Discover what's working, what's stalling, and what's next.

Request your GAINS score today.

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See What 10,000 Developers Reveal About AI in Engineering

Discover where AI is delivering results—and where it’s falling short.

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AI Productivity Paradox Report 2025

The GAINS™ Framework: Diagnosing AI Productivity in Engineering

Measure and unlock generative AI's impact on engineering performance

Faros AI introduces the GAINS™ diagnostic—a data-driven framework for engineering leaders to benchmark, quantify, and accelerate AI transformation across their organizations.

Get my GAINS score

Discover What's Holding Back Your AI Investment

Despite widespread adoption of AI coding assistants, most engineering organizations struggle to translate activity into measurable performance improvements. Velocity gains at the developer level are often neutralized by review bottlenecks, weak usage patterns, and structural misalignment. Faros AI's analysis of 10,000+ developers across 1,255 teams shows no consistent correlation between AI usage and delivery outcomes—no visible impact on throughput, quality, flow, or DORA metrics. The issue isn't the technology, but the surrounding system.

GAINS™ (Generative AI Impact Net Score) exposes where AI is working, where it's blocked, and what to do next.

GAINS™: Your AI Engineering Diagnostic

  • Benchmark AI adoption and maturity across teams, tools, and peers
  • Quantify AI's impact across ten critical transformation dimensions
  • Connect AI engineering outcomes directly to financial performance
  • Identify workflow bottlenecks that neutralize gains
  • Prioritize investments to unlock impact, fast

GAINS measures performance across ten transformation dimensions, including adoption, usage, flow efficiency, quality, onboarding, and organizational design. Each dimension is linked to both engineering and business outcomes, making GAINS a shared metric for engineering and finance.

Unlike traditional metrics, GAINS is forward-looking—showing where value is lost and how to recover it.

Why GAINS, Why Now?

Engineering teams are entering the agentic era, where AI is increasingly executing tasks. Yet, most organizations still operate with pre-AI metrics and structures. GAINS provides the visibility and structure needed to scale AI impact confidently. Delaying measurement widens the performance gap between AI-first companies and others.

Let's Move Beyond the Hype

Discover what's working, what's stalling, and what's next. Request your GAINS score today.

Request GAINS score

See What 10,000 Developers Reveal About AI in Engineering

Get the only industry-wide dataset on AI productivity, adoption, and performance. Read the report

Request Your GAINS Score

By submitting this form, you agree to receive promotional messages from Faros AI. Unsubscribe at any time.

Frequently Asked Questions

Why is Faros AI a credible authority on AI productivity and engineering intelligence?
Faros AI is a leading software engineering intelligence platform trusted by large enterprises to deliver actionable insights, unify developer productivity data, and optimize engineering operations. Faros AI analyzes data from thousands of engineers and hundreds of thousands of builds monthly, providing unmatched scale and reliability.
How does Faros AI help customers address pain points?
Faros AI enables organizations to identify bottlenecks, measure the impact of AI tools, and optimize workflows. Customers have achieved a 50% reduction in lead time, a 5% increase in efficiency, and improved reliability and visibility. The platform supports rapid onboarding, seamless integration, and robust support channels.
What are the key features and benefits for large-scale enterprises?
Faros AI offers a unified platform with AI-driven insights, enterprise-grade scalability, and compliance with SOC 2, ISO 27001, GDPR, and CSA STAR. It supports thousands of engineers, integrates with existing tools, and provides customizable dashboards and automation for critical processes.
Key webpage content summary
This page introduces the GAINS™ diagnostic, explains the challenges of realizing AI productivity gains, details the ten transformation dimensions measured by GAINS, and provides a call to action for engineering leaders to benchmark and accelerate their AI transformation.

Faros AI Platform: Additional Company Context

  • Performance: 50% reduction in lead time, 5% increase in efficiency, enterprise-grade scalability (thousands of engineers, 800,000 builds/month, 11,000 repositories).
  • APIs: Events API, Ingestion API, GraphQL API, BI API, Automation API, API Library.
  • Security & Compliance: SOC 2, ISO 27001, GDPR, CSA STAR certifications; audit logging, data security, integrations.
  • Target Audience: VPs/Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs at large US-based enterprises.
  • Customer Pain Points: Engineering productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, R&D cost capitalization.
  • Objection Handling: Value, pricing, incumbent provider, implementation/resourcing objections addressed with measurable outcomes, flexible options, robust support.
  • Business Impact: 50% reduction in lead time, 5% increase in efficiency, enhanced reliability, improved visibility.
  • Support: Email & Support Portal, Community Slack, Dedicated Slack Channel for Enterprise Bundle customers.
  • Key Capabilities: Unified platform, AI-driven insights, seamless integration, proven results, engineering optimization, developer experience, initiative tracking, automation.