Now onboarding design partners

Unit economics forAI agents
in production

Runrate reconciles true AI agent costs, allocates them to outcomes, forecasts spend, and enforces budgets — so teams can scale automation without margin surprises.

runrate · live · jan 2025
Live
Cost per outcomevs. prior week
OutcomeVolAvg $WoW
Support ticket resolved12.8k$0.31+0.03
Lead qualified4.2k$1.84+0.05
Claim processed2.9k$0.620.05
Document summarized8.5k$0.09
Variance driversThis week
Model retries +18% in Claims workflow
+$4.2k
New leads qualification workflow launched
+$2.1k
Cache hit rate improved 8pts in CX Ops
-$1.3k
INV-2847 · reconciled
Runrate

Why now

AI agents in production create a new class of operational problem.

Teams are shipping automations at velocity and are left with opaque cloud bills, no cost-per-outcome visibility, and zero leverage to forecast or control what comes next.

0%
of production teams
cannot connect AI execution data to business outcomes — cost, quality, or impact
Dynatrace, 2025
0×
faster than budget
average rate AI agent spend outpaces initial forecasts in production
Industry benchmark
$0
chargeback visibility
the amount of AI spend most BUs can bill back to their cost centers today
Common reality

The problem

The operational visibility gap compounds with every agentic workflow you ship.

The moment agents go to production, the unit economics problem begins. And it compounds with every new workflow you ship.

$0
cost attribution

No cost truth

You get a cloud bill. You don't get cost-per-ticket, cost-per-lead, or cost-per-claim. You can't tell if your agent ROI is positive or negative.

overshoot rate

Forecasting is guesswork

Agent spend is variable by design — it scales with business volume. Without unit economics, every forecast is a ceiling estimate with no floor.

30d
avg. discovery lag

Audit and controls lag

When a workflow goes off-budget by $40K, nobody knows until the invoice arrives. There is no approval chain, no alert, no immutable record.

Before Runrate
Opaque AI spend
One invoice total with no link to workflows, owners, or results
RunrateRunrate
After Runrate
Spend made clear
Cost traced by workflow, owner, run, and outcome

How it works

Four steps from opaque to owned.

Runrate connects every agent run to the work item it processed, the cost it incurred, the quality it produced, and the policy it must follow.

Runrate sits passively in your agent infrastructure — no code changes required for standard frameworks. Every LLM call, tool use, and retry is captured with its full cost vector before being normalized to a canonical event format.

Production telemetry

Teams

Built for every team that owns AI operations.

Runrate gives the same control over digital labor that ERP gave over headcount.

Release tradeoffs
Compare version changes across cost, quality, latency, and escalation before widening rollout.
Version-level cost vs quality
Workflow regressions
See which workflows improved or degraded after the latest release and why.
Regression detection by workflow
Hard work-item types
Spot which ticket, case, or request classes the agent still struggles with.
Work item class breakdown
Usage expansion
Find where premium capacity is justified and where tighter guardrails should apply.
Expand vs constrain usage
Rollout narrative
Give product, engineering, and finance one shared explanation for rollout decisions.
Shared truth for launch reviews
Board-ready view
Live
Eval pass rate
96.2%
+1.8pp vs prior period
Avg cost / successful outcome
$0.44
-3.1% vs prior period
Escalation rate
6.8%
-0.9pp vs prior period
Version B lift
+4.7pp
vs Version A eval pass rate
Product summary

Version 2.3 improved eval pass rate by 1.8pp while reducing cost per successful outcome 3.1%. Gains are strongest in billing and password-reset flows; claims intake still regressed after the prompt change. Expand rollout in Tier 2 queues and hold claims until the retrieval fix ships.

Why Runrate

Nothing else is built for this.

Traditional FinOps tools track cloud infra. Observability tools track errors. Runrate tracks financial outcomes.

Capability
Runrate
Traditional FinOpsAgent Observability
Cost per outcome attribution
Invoice reconciliation (credits & discounts)
Shared cost allocation rules
Automated variance narratives
Budget controls & pre-approvals
Chargeback by department
Immutable audit trail
Finance-native (not observability-native)

FAQ

Common questions.