Connect the evidence
Correlate alerts, metrics, resource dependencies, recent deployments, and incident history in a scoped operational context.
REMEDO AUTONOMOUS OPERATIONS PLATFORM
Intelligence under operational controlFrom the first signal to a verified outcome.
An AIOps control plane built to investigate deeply,
act within policy, and keep people in command.
Compare dependency timing and resource pressure before selecting a response.
Further evidence requiredA recommendation does not grant permission to execute.
01 / THE PLATFORM
The Autonomous Operations Platform combines operational context, incident investigation, predictive intelligence, and verified response. Policy and approval controls govern each step.
Correlate alerts, metrics, resource dependencies, recent deployments, and incident history in a scoped operational context.
Specialized agents examine the evidence, develop hypotheses, and propose remediation with explicit uncertainty.
Independent risk checks, deterministic policies, and human approvals determine what can proceed.
Customer-side execution is followed by observability checks and audit records to establish what actually happened.
02 / AN INCIDENT, END TO END
Explore an illustrative incident workflow: connect operational signals, investigate changes, assess a response, and apply governance before action.
Latency rises shortly after a checkout deployment. Remedo brings the alert, service metrics, infrastructure context, and change timeline into one incident.
03 / INTELLIGENCE WITH BOUNDARIES
The Autonomous Operations Platform separates reasoning from permission and execution. Each boundary makes the response easier to inspect, constrain, and verify.
AI proposes.
Policy authorizes.
Edge executes.
Observability verifies.
Outcomes teach.
Operational context combines observability, infrastructure, change records, and authorized incident history to support investigation and operational intelligence.
Specialized agents investigate incidents, synthesize evidence, evaluate competing hypotheses, and develop remediation plans within a flexible AI architecture.
Separate risk assessment, deterministic policy checks, authorization, budgets, and approval requirements.
An edge runtime designed to validate signed, typed actions and enforce scope before execution.
Observed outcomes and audit evidence inform evaluation and future improvements under data governance.
04 / TRUST BY DESIGN
Enterprise trust guides our architecture. Remedo is designed to make evidence, permission, operational risk, and actual outcomes visible at every step.
Recommendations should reference available evidence, expose gaps, and abstain when the context is insufficient.
Deterministic controls govern actions. A confidence score never substitutes for authorization or an approval.
Tenant isolation, scoped tools, and customer-side execution are core requirements. Agents should not receive raw credentials.
Typed actions, supported compensation paths, verification criteria, and audit records make the response reviewable.
Progress from observation to shadow recommendations and approved actions. Autonomy can be constrained or disabled.
Planned evaluations cover diagnostic quality, abstention, prompt injection, tool use, cost, latency, and verified recovery.
05 / CONNECT YOUR OPERATIONAL WORLD
Remedo is designed to connect the systems your teams already rely on. Bring service records, changes, telemetry, and infrastructure context into one coordinated workflow.
Incident records, service ownership, configuration items, and business context help frame the investigation.
Code changes, deployment history, release context, and configuration revisions reveal what changed.
Alerts, metrics, logs, and traces provide evidence for investigation and outcome verification.
Cloud, containers, virtualization, and existing automation tools provide resource context and governed action paths.
Connect context. Coordinate decisions. Preserve the tools your teams know.
06 / A CLOSER LOOK
Remedo is designed to coordinate the tools you already use. ITSM, SCM, observability, infrastructure, and automation provide operational context and governed execution paths.
The architecture requires bounded tool access and independently authorized, typed actions. The customer-side runtime is designed to enforce the approved scope. No unrestricted shell access is part of the intended agent workflow.
BUILD WITH REMEDO
Interested in the Autonomous Operations Platform, technical collaboration, or a product conversation? Get in touch.