Where we might start
Incident investigation depends on scattered information; knowledge sits with a few specialists; the team wants to use AI but needs clear limits on its actions.
Domain · Observability & Reliability
Help your team understand problems and act with confidence.
Operational information is useful when it helps people understand what is happening and decide what to do. I work with teams to connect signals, context, investigation, and response.
What we work on
We follow a real operational workflow, identify missing context, and explore how AI can support investigation or response. We agree where people decide, how actions are checked, and who owns the outcome.
How we check progress
Review investigation effort, response quality, and the safety of actions within the selected workflow.
Related thinking
Signals, telemetry & bounded AI.
Field perspectives on transforming telemetry from passive dashboards into an active control plane for investigation, decisions, and operational safety.
Observability After Dashboards
Observability is becoming the control plane between software intent and production action—built on open signals, governed data, and bounded AI.
Follow the money - the future of observability
Agentic systems do more than generate telemetry. They reason across context and act in operations—changing what the reliability architecture must provide.
Discuss an operational workflow
Tell me what challenges your teams face during incidents, how information is shared, or where you want operational AI with clear boundaries.