PROTOCOL_ID: AI-05 // CLASS: AUTONOMOUS_INTELLIGENCE
SRE AI Agents Consulting
We give your platform an operator that never sleeps, inside guardrails it cannot cross.
Difficulty: 3 / 3
Engagement overview
Autonomous operations only earn trust when the autonomy is bounded. We build SRE agents that read your telemetry, reason about what is actually wrong, and act through the same GitOps path your engineers use, never around it. The agent proposes and applies remediations as version-controlled changes, fully auditable after the fact.
The guardrails are the point. Kyverno policy defines what the agent may touch, error budgets define when it should hold, and every action lands as a reviewable commit. You get faster recovery and fewer 3am pages, without handing production to a black box.
Illustrative schematic, not live telemetry
Tools in this engagement
Tools in this engagement
- LLM reasoning
- Argo CD
- Kubernetes
- OpenTelemetry
- Kyverno
- Prometheus
From assessment to production
- 01
Telemetry integration
Connect the agent to your signals through OpenTelemetry, so it reasons on the same data you do.
- 02
Guardrail design
Define with Kyverno exactly what the agent may change, and where it must stop and ask.
- 03
Agent deployment
Deploy in observe-only mode first, scoring its proposed actions against what your team would do.
- 04
Supervised autonomy
Promote trusted playbooks to act automatically, each as an auditable GitOps commit.
- 05
Closed-loop remediation
Run watch, diagnose, and remediate as a closed loop, with humans on the exceptions.
Ecosystems, tooling, and deliverables
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