Runrate provides a financial control plane that passively instruments AI agent frameworks to capture every LLM call, tool use, and retry, normalizing costs and reconciling them with invoice data. The platform attributes spend to specific work items, offers real‑time cost‑per‑outcome dashboards, budget guardrails, and immutable audit trails, and integrates via finance‑native APIs for ERP and chargeback systems.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying AI agents at scale receive only aggregate cloud invoices, lacking visibility into cost per ticket, lead, or claim. This opacity prevents accurate unit‑economics analysis, makes spend forecasting unreliable, and leaves audit and budget controls ineffective.
Solution
Runrate delivers a financial control plane that passively instruments any supported AI agent framework to capture every LLM call, tool invocation, and retry along with its full cost vector. The platform normalizes these events into a canonical format, reconciles them against invoice data (including credits and discounts), and attributes spend to the specific work item and business outcome it served. Real‑time dashboards expose cost‑per‑outcome metrics, enable variance analysis with automated narratives, and allow finance, product, and engineering teams to enforce pre‑spend budget guardrails. All allocations and policy decisions are versioned and stored in an immutable audit trail, providing a single source of truth for rollout reviews and chargeback reporting. Integration hooks expose finance‑native APIs for ERP and chargeback systems, ensuring seamless downstream processing.
Target Audience
Primary users are product managers, engineering leads, finance analysts, and operations teams that own enterprise‑scale AI automation workflows and need granular spend governance.
Features
- Passive telemetry layer that auto‑captures LLM calls, tool usage, and retries across major agent runtimes with zero code changes
- Canonical event model and cost normalization pipeline for accurate per‑run expense calculation
- Invoice‑level reconciliation engine handling credits, discounts, and multi‑cloud billing structures
- Configurable cost allocation rules that map spend to outcomes, owners, and departments
- Automated variance detection with narrative generation for rapid root‑cause analysis
- Pre‑spend budget enforcement and approval workflow engine that blocks overruns before execution
- Immutable, versioned audit log supporting regulatory compliance and chargeback audits
- Finance‑native REST/GraphQL APIs for ERP, chargeback, and reporting system integration