Instrument, evaluate, and troubleshoot production AI agents without requiring an internal observability specialist.
Added Jul 30, 2026
Medium opportunity (72%)
Teams deploying AI agents must connect conversations, traces, logs, costs, and evaluation results to understand why an agent failed or became expensive. Existing observability stacks require specialized query languages, careful instrumentation, and substantial configuration, leaving platform teams with noisy telemetry and slow incident investigations.
Provide a managed implementation and ongoing reliability service that instruments agent workflows, defines quality and cost evaluations, configures telemetry pipelines, and investigates recurring failures. The operator works inside the buyer's existing observability environment, delivers production-ready alerts and investigation playbooks, and conducts monthly telemetry-volume and token-cost reviews.
AI agents are entering production while their telemetry introduces conversations, evaluation scores, token consumption, and model behavior that conventional application monitoring does not fully explain. Observability vendors are adding relevant capabilities, but buyers still need hands-on implementation, tuning, and operational ownership.
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Set the technical strategy for the instrumentation standards, libraries, agents, and operators that monitor services across the company. Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.
Instrument pipelines for observability — logging, tracing, and distributed monitoring across model and agent workflows. Collaborate cross-functionally with ML engineers, data scientists, and product to shape intelligent and safe AI features.
Observability has never mattered more. As organizations deploy AI applications, foundation models, and autonomous agents into production, they need to understand not just whether infrastructure is healthy, but whether their AI is reasoning correctly, whether model performance is drifting, and whether systems can self-heal before customers notice. The infrastructure behind this processes quadrillions of data points daily. This is the new frontier, and you'll be at the center of it.
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