Measuring ROI in AI-Powered GTM: A Practical Guide
A structured approach to evaluating ROI from throughput improvements and process optimization, with real metrics and practical calculations.
AI is cool, but does it pay? For CFOs and Revenue Leaders, the adoption of AI agents comes down to one thing: Return on Investment. Here is the OrbitOS framework for measuring AI impact.
The Three ROI Buckets
1. Velocity (Time-to-Value)
How much faster do deals close? How quickly does a PRD become code? We measure the reduction in cycle time across key workflows.
2. Capacity (Throughput)
Can your existing team handle 2x the volume? AI Agents should act as a force multiplier, allowing linear headcount to support exponential growth.
3. Quality (Conversion)
Speed implies nothing if quality drops. We track win rates, code bug density, and customer satisfaction scores to ensure AI lifts the bar.
Calculating Your Score
We recommend a "Blended Efficiency Score." Combine the cost savings of automation with the revenue lift from higher velocity. If your AI implementation isn't paying for itself in 6 months, your orchestration strategy needs tuning.