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Executive Summary

Production AI assistants and other multi-tool agents are creating "split-trace" workflows where tool calls execute off-host and traces are fragmented, leaving observability, SRE and compliance teams unable to consistently score correctness, safety and latency across end-to-end interactions. This problem is already material for large customers — our target market of roughly 200,000 enterprises with an estimated $25.0B spend (≈$125k average per year on observability/AIOps/assistant integrations) means many teams must reconcile fragmented traces today to meet SLAs and regulatory audit requirements. The product would combine a server-side execution layer with trace-level scorers that attach to OpenTelemetry spans, rehydrate split traces, and compute standardized "break scores" for tool calls plus human-readable explanations and an auditable event stream. Delivered as an OTEL-native service with SDKs, connectors for popular assistant tool-runners, and a UI/API for policies and reporting, it would enforce server-side scoring (not client-side trust) and export results to existing observability/AIOps platforms. Timing is favorable: LLM-tooling proliferation is increasing production assistants that call external tools, OpenTelemetry adoption reduces instrumentation friction, and enterprises are demanding auditable, server-side governance for AI — reflected in a market score of 88/100 and a revenue potential rating of 90/100. With 200k potential customers and procurement sensitivity to explainability and compliance, early pilots with 5–10 strategic customers could validate value and build referenceable ROI. This approach's strengths are clear — server-side enforcement for auditable scoring, trace-level granularity, and native OTEL integration reduce lift for observability teams and directly address governance needs — but there are real challenges: integration complexity with heterogeneous tool-chains, potential latency and cost overhead for runtime scoring, and a medium-competitive landscape that includes incumbent observability vendors. To win you’ll need demonstrable low-latency benchmarks, clear TCO/ROI for security and compliance use cases, and partnerships or integrations with major assistant platforms and APMs rather than trying to replace them.

Executive Summary

Split-trace tool calls break scoring — server-side execution + trace-level scorers

Executive Summary

Split-trace tool calls break scoring — server-side execution + trace-level scorers

Executive Summary

Market Validation

Market Opportunity

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