The same cost-versus-outcome treatment extends beyond engineering. Connect Intercom, HubSpot, Salesforce, or ServiceNow with a read-only credential and resolved conversations, closed-won deals, and resolved incidents become outcomes: the Overview shows support resolutions with cost per resolution, and pipeline sourced per dollar of agent spend. If you already run LLM observability, import what it sees: LangSmith or Langfuse (cloud or self-hosted) bring in each run's model, tokens & cost with no re-instrumentation. One rule to avoid double counting: route a traffic stream through the AI gateway or import it from your observability tool, not both.
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