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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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GAINS - the Generative AI Impact Net Score logo
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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 - not 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.

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GAINSTM 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.

The GAINS(tm) Diagnostic: Ten AI Transformation Dimensions for Software Engineering - depicted as links in a chain

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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Discover the Engineering Productivity Handbook

How to build a high-impact program that drives real results.

What to measure and why it matters.

And the 5 critical practices that turn data into impact.

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