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For managers

Give your team AI cost clarity without slowing them down.

The challenge

You are responsible for delivering AI initiatives that move the needle, but every planning meeting turns into a debate about cost. Finance asks why spend jumped, the CTO wants to know which features are actually profitable, and your team spends hours chasing numbers instead of executing. You are left stitching together invoices, dashboards, and spreadsheets to explain where the money went.

Our solution

Fenra gives you a single, trusted view of AI spend that maps directly to customers, features, and teams. Instead of asking engineers for ad-hoc reports, you get live dashboards and scheduled summaries that answer the hard questions: What is our unit economics per customer? Which features are worth scaling? Where are we burning margin? You lead with data, not guesswork.

Track features and costs

Fenra gives managers the visibility to balance innovation and cost—without turning engineers into human reporting engines.

Precision Attribution

Stop guessing your margins

Identify your most expensive users and features in real-time. See exactly who is driving your spend and which parts of your product are burning through your budget before the invoice arrives.

  • Filter by date, specific models, or development stages
  • Group costs using your own custom business labels
  • Export everything for deep-dive analysis
Real-time Transparency

Debug your invoice in real-time

Every request is tracked with its cost, model, and metadata. Eliminate "mystery spikes" by seeing exactly what happened if your invoice jumped 300% overnight.

  • Request-level visibility with timestamps
  • Filter by provider, model, or time period
  • View metadata attached to each request

Ready to see it in action?

Dive into our documentation to see how Fenra maps every AI request to the metrics your leadership team cares about: unit economics, margins, and customer-level ROI.

Full Documentation