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Autonomous operations, governed by people

Turn every signal into a safe resolution.

SignalAIOps connects telemetry, tickets, and code to investigate incidents, coordinate specialist AI agents, and prepare the right fix—while people stay in control of every consequential action.

Open the console See how it works
  • ✓ Dry-run first
  • ✓ Human approval gates
  • ✓ Complete audit trail
Live incident flow
  1. 01Ingest

    Detect

    Correlate the right signal across your stack.

  2. 02Reason

    Diagnose

    Coordinate agents to explain the root cause.

  3. 03Govern

    Approve

    Review evidence, impact, and the proposed fix.

  4. 04Restore

    Resolve

    Apply safely and verify service recovery.

Human approval checkpoint passed Every action is explainable, reversible, and recorded.

One operating layer across the tools you already trust

ServiceNow Splunk Datadog Dynatrace Jira GitHub

The operating loop

From noisy alert to governed action.

Every step is visible. Every decision has evidence. Every risky action waits for a person.

  1. 01

    Observe

    Ingest signals from monitoring, tickets, and service context.

  2. 02

    Correlate

    Connect symptoms across systems and remove duplicate noise.

  3. 03
    AI

    Reason

    Specialist agents investigate, challenge, and verify the diagnosis.

  4. 04
    ✓

    Approve

    A human reviews the exact plan and evidence before execution.

  5. 05
    ↗

    Resolve

    Apply the approved action and retain a complete operational record.

Built for real operations

Autonomy you can inspect.

Move faster without turning your production environment into a black box.

Multi-agent investigation

A response team that assembles in seconds.

Route each incident to purpose-built agents for context, diagnosis, remediation, risk, and communication.

Human-in-the-loop

The line between suggestion and action is explicit.

High-impact steps pause at a clear approval gate with the evidence, blast radius, and rollback plan attached.

✓

CHANGE REVIEW Scale payment workers 8 → 14

  • ImpactProduction
  • RiskLow
  • RollbackPrepared
RejectApprove plan
Evidence by default

Every conclusion shows its work.

Follow the signal, agent reasoning, human decision, and final outcome in one immutable timeline.

Signal correlatedSplunk · Datadog

Diagnosis verified3 agents agreed

Plan approvedby A. Sharma

Service recoveredLatency 2.8s → 180ms

One platform, two outcomes

Operate the incident. Improve the system.

Incident → resolution

Restore service with context already assembled.

Diagnose live issues, prepare ticket updates, and move approved remediation through a controlled operational workflow.

Explore incident operations →
Ticket → pull request

Turn a verified problem into reviewed code.

Trace the relevant repository, propose a guarded change, run the test suite, and prepare a draft pull request without ever merging automatically.

Explore engineering workflows →

SignalAIOps

Operations should move at machine speed—with human judgment intact.

Bring signals, agents, approvals, and outcomes into one governed operating loop.

Enter SignalAIOps