Your workforce now includes AI agents. Manage them like it.
AI coding agents, copilots, and inference APIs are a growing line item. Flowstate tracks AI costs alongside human workforce spend -- giving you blended metrics for the new era of software delivery.
Traditional workforce cost models break when you add AI
Your cost-per-engineer metric doesn't account for the Copilot licences, the Claude API spend, or the inference costs from your autonomous coding agents. Finance sees a growing "cloud" line item with no way to attribute it to teams or projects.
Meanwhile, engineering leaders can't answer basic questions: Is AI actually making us more productive? What's the true cost per feature when you include AI spend? Should we invest more in agents or more in people?
The blended workforce dashboard
Human and AI workforce costs, side by side.
New metrics for the AI era
AI cost attribution
Attribute inference costs, API spend, and licence fees to specific teams, projects, and features. Know exactly where your AI budget is going and whether it's delivering value.
Agent tracking
Track autonomous coding agents as workforce members. See their output, cost, and utilisation alongside human engineers. Understand the true shape of your blended workforce.
Blended workforce metrics
New KPIs for the AI era: blended cost per feature, AI share of spend, human-to-agent ratio, and productivity multiplier. The metrics you need to plan a workforce that's part human, part AI.
Inference cost forecasting
Project AI spend forward based on usage trends, team growth, and planned agent rollouts. Budget for inference costs with the same rigour you apply to headcount.
The method behind the module
AI cost attribution is a new discipline. Learn the frameworks and mental models for managing a blended human-AI workforce.
Get ahead of AI workforce costs
Book a demo and see how Flowstate gives you visibility into the true cost of your blended human-AI workforce.