Agentic L1 incident response
Your first responder for every production incident.
ADOE investigates alerts, executes approved runbooks, and escalates only when human judgment is required — with the full audit trace already attached.
keepalive_failed · host i-0abc123ec2_reboot · blast radius: isolated#payments-oncall · mutating action3m 53s · operator on page 22sWorks with the tools your on-call team already uses
Outcomes
Fewer pages. Faster resolution. Hours back.
What teams see when ADOE takes first watch. Figures reflect current deployments and are configurable to your environment in the calculator below.
Watch an incident resolve
One incident, start to finish.
A latency alert on a Kubernetes service after a bad deploy. Step through exactly what ADOE does — and where it stops for a human.
How ADOE works
An operational pipeline, not a black box.
Every alert flows through six stages. Each stage has a defined input, agent action, safety boundary, and result.
Ingest
- Input
- Alerts from every monitoring source
- Action
- Normalize, deduplicate, correlate into one incident
- Safety
- Read-only
- Result
- A single, deduplicated incident
Investigate
- Input
- The incident + context (deploys, logs, topology)
- Action
- Gather evidence, form a root-cause hypothesis
- Safety
- Read-only tools only
- Result
- Hypothesis + confidence + blast radius
Decide
- Input
- Hypothesis + available playbooks
- Action
- Match a runbook; choose execute / recommend / escalate
- Safety
- Confidence threshold gate
- Result
- A decision with reasoning
Act
- Input
- The chosen remediation
- Action
- Run it through your own executors
- Safety
- Approval for mutating actions
- Result
- An executed, logged action
Verify
- Input
- The action + the alert's own signal
- Action
- Poll the real metric to confirm recovery
- Safety
- Never false-resolve
- Result
- Verified resolution — or escalate
Escalate
- Input
- Anything unverifiable or low-confidence
- Action
- Page a human with hypothesis + evidence
- Safety
- Human judgment required
- Result
- A human, oriented in seconds
Capabilities
Built for the work on-call actually does.
Autonomous triage
Classifies and investigates every alert with read-only tools before it ever reaches a human.
Correlation & noise reduction
Dedupe, correlate, and suppress chronic false positives so people wake for real incidents.
Playbook matching
Maps incidents to your existing runbooks with a confidence score.
Safe remediation
Runs approved actions through your own executors — GitHub Actions, SSM, SSH.
Human approvals
Mutating actions wait for a one-tap approval in Slack, with the plan and blast radius spelled out.
Smart escalation
When it pages you, it comes with a hypothesis, the evidence, and a proposed next step.
Audit trails & replay
Every decision and action is recorded, reproducible, and reviewable after the fact.
Operator-first console
A calm incident view built for the people who own production.
Safety & human control
Autonomy you can actually trust with production.
The hard part of autonomous ops isn't acting — it's knowing when not to. ADOE is built so a VP of Engineering will let it touch prod.
Integrations
Plug in. Don't rip and replace.
ADOE works with the stack your team already runs. Connect your sources and executors — nothing to migrate.
ROI calculator
Estimate the time and money ADOE returns.
Enter your environment. Everything recalculates instantly. Assumptions are shown and editable in the formula below.
Assumes $150k fully-loaded SRE · ~1.5 hrs × 2.5 responders per incident · 70% auto-resolved
⌥Your environment
ADOE removes ~1.5 hrs of toil per incident through autonomous triage and resolution.
↗Estimated annual savings
How this is calculated — inputs vs. assumptions
You provide: team size, incident volume & cadence.
Assumptions (illustrative): $150,000 fully-loaded salary ÷ 2,080 hrs = hourly cost · 1.5 hrs × 2.5 responders of toil removed per incident · 70% of incidents auto-resolved.
hours = incidents/yr × 1.5 × 2.5 × 0.70 · savings = hours × hourly · FTE% = (hours ÷ 2,080) ÷ team
Directional estimate, not a guarantee. Tune the assumptions to your own numbers.
Enterprise
Deploys into your world, on your terms.
Talk to the technical team about deployment, data handling, and controls for your environment.
Runs against your existing monitoring and executors.
details on requestOperates on your telemetry and credentials with tenant isolation.
details on requestRole-based control over what ADOE can see and do.
Full, replayable history of every decision and action.
Support expectations set with your team.
details on requestAvailable under NDA during evaluation.
contact usGive your on-call team the night back.
See ADOE investigate and resolve a real incident against your own operational playbooks.