Onepane

Onepane is an independent control plane for AI agents — one seat to operate a whole fleet regardless of who built them or which framework they run on. It centralizes agents from LangChain, LlamaIndex, custom Python, no-code builders, and cloud-native services (Bedrock, Vertex, Azure AI Foundry) without a migration, then adds three things most agent stacks are missing: routing work to the best-fit agent for the job, metering the full cost of each run (tokens, compute, tool calls) against the business output it produced, and governing what agents do in production with kill-switches, blast-radius limits, and true rollback of live actions. The ROI side is the sharpest pitch: Onepane ties each agent's spend to editable, auditable value-per-output assumptions (tickets deflected, invoices matched, downtime avoided) and rolls the return up to team and department. A read-only Agent ROI Assessment can produce a first-pass number in days without integration. Enterprises can BYO agents on any framework or opt into Native agents for the deepest controls (rollback, RCA, blast-radius). Onepane is used by teams whose agent count has outgrown per-tool dashboards and by finance/GRC leaders who need to show which agents actually made money.