Start setup

Production Governance · Incident Intelligence

Govern production changes before they become incidents.

Runroom AI connects GitHub, Datadog, PagerDuty, Jira, and Slack to review production risk, readiness gaps, PII/data sensitivity, deploy watch, and incident correlation in one platform.

Runroom AI helps engineering teams govern production changes before release and understand incidents faster when production breaks.

Try live demo
Loading preview…

See Runroom AI in action

GitHub PR opened → Production Change created → agents review risk and readiness → deploy watch generated → incident room correlates alert to PR → AI drafts explanation and RCA.

2-minute product demo

Set NEXT_PUBLIC_DEMO_VIDEO_URL to a YouTube link or /demo/runroom-demo.mp4Try live demo sandbox

Want to try this on your repos?

Two workflows, one platform

Runroom AI connects your existing engineering tools and turns PRs, alerts, deployments, incidents, owners, runbooks, and approvals into production-risk intelligence.

Production Governance

Before release, Runroom AI reviews risky PRs and production changes. Agents check impacted services, downstream risk, rollback, monitors, ownership, PII/data sensitivity, approvals, and deploy watch.

Incident Intelligence

When production breaks, Runroom AI opens a 5-minute incident room that correlates alerts, deployments, PRs, runbooks, owners, timelines, and business impact into explanation, stakeholder update, and RCA draft.

Before release: agents review production risk from the PR outward.

When a PR opens, Runroom creates a Production Change and runs governance agents. The agents inspect changed files, map impacted services, identify downstream risk, check rollback and monitor evidence, flag PII/data sensitivity, and route approvals before release.

Production Change Detail

Risk, readiness gaps, data sensitivity, deploy watch

Risk scoreMissing rollback planData sensitivity
CHG-auth-service-421 — Production Change
Harden token refresh error handling
PR #421 · auth-service · GitHub
Production Risk: High
Blocked
Critical
auth-service, session-gateway
Missing controls
  • Rollback plan not documented
  • Monitor coverage gap for /token/refresh
  • Privacy approval pending
Deploy watch summary

45-min watch · login success rate · /token/refresh 5xx · #release-governance

Agent Worklog

Auditable steps, tools checked, and evidence collected

Steps takenEvidence collectedDecision made
Risk Investigation Agent — Agent Worklog
Risk Investigation Agentcompleted
Decision
High production risk — block release pending rollback and privacy approval
  1. Fetched GitHub PR metadata
  2. Inspected changed files
  3. Mapped src/auth/** to auth-service
  4. Checked service criticality (Tier-1)
  5. Detected customerEmail in changed lines
  6. Checked rollback evidence — not found
  7. Assigned risk level: High
  8. Triggered readiness review

GitHub PR Risk Comment

Production risk surfaced where developers already work

Production riskMissing controlsLink to Runroom
GitHub — PR #421
runroom-ai botcommented 2 minutes ago

Production risk: High (78) · Data sensitivity: Critical

Impacted: auth-service, session-gateway

  • Missing rollback plan
  • Monitor coverage gap for /token/refresh
  • Privacy approval required

Agents checked: files, services, downstream, monitors, PII scan

View Production Change in Runroom →

Approval Inbox

Human approval gates before release

SRE approvalPrivacy approvalService owner
Approval Inbox
SRE approval required
CHG-auth-service-421
Pending
Privacy approval required
CHG-auth-service-421
Pending
Service owner approval
CHG-payments-318
Approved
Waiver requested
CHG-catalog-204
Review

Deploy Watch Plan

Post-release monitoring with signals and rollback triggers

Watch windowSignalsRollback trigger
Deploy Watch — auth-service
45 minutes post-deploy
Platform SRE
#release-governance
Signals & thresholds
  • Login success rate < 98% for 5 min → rollback trigger
  • /token/refresh 5xx > 2% for 3 min → page on-call
  • Payment authorization failures spike → escalate
  • auth-service p95 latency > 800ms → investigate

After release: Runroom connects incidents back to what changed.

When production breaks, Runroom opens a 5-Minute Incident Room. It connects the alert to deployments, PRs, owners, runbooks, and business impact, then drafts an explanation, stakeholder update, and RCA.

5-Minute Incident Room

Alert correlated to deployment, PR, owner, and business impact

TimelineSuspected PRCorrelation score
INC-1021 — 5-Minute Incident Room
Parent login failures
SEV-2
Correlation 0.91
14:28 auth-service v2.14.3 deployed
14:32 Datadog: /token/refresh 5xx spike
14:34 PagerDuty incident opened
14:36 Suspected PR #421 · CHG-auth-service-421
Platform SRE
~12% login failures
Evaluate rollback

AI Explanation & RCA Draft

Technical explanation, stakeholder update, and RCA material

Stakeholder updateRCA draftAI history
AI Artifacts — INC-1021
ExplanationStakeholder updateRCA draft

Elevated parent login failures began at 14:32 UTC following auth-service v2.14.3 deployment. Token refresh path regression in PR #421 is the likely cause.

Stakeholder update draft: Engineering is investigating login failures affecting parent accounts. Rollback under evaluation. Next update in 15 minutes.

AI history · v3 generated 14:38 UTC

What the agents check

Runroom checks whether a production change is ready to ship — with auditable evidence for each control.

Changed files and services
Downstream impact
Service criticality
Rollback plan
Monitor coverage
PagerDuty route
Owner mapping
PII/data sensitivity
Sensitive logging
Security approvals
Deploy watch
Incident correlation
Audit evidence

Built for internal forwarding

Runroom creates artifacts your team can forward: PR risk reviews, change evidence packs, weekly risk digests, and incident explanations. These are designed to move inside engineering organizations without another sales meeting.

Sample PR Risk Review

Risk level, impacted services, PII findings, and missing controls.

Sample Change Evidence Pack

Change summary, readiness status, approvals, rollback, and deploy watch.

Sample Weekly Risk Digest

PRs reviewed, high-risk changes, missing controls, and recommended actions.

Sample Incident Explanation

Incident summary, likely cause, stakeholder update, and RCA draft.

Artifacts your team can forward every week

Production changes list and weekly PR risk digest give champions something concrete to send internally — "Can we try this on our repos?"

Production Changes List

Risk levels across multiple open production changes

High/Critical riskReadiness statusAgent status
Production Changes — Runroom AI
ChangeServiceRiskReadinessAgent
CHG-auth-service-421
Harden token refresh error handling
auth-serviceHigh (78)Blockedcompleted
CHG-payments-318
Update checkout fee calculation
paymentserviceMedium (52)Needs reviewcompleted
CHG-catalog-204
Cache product metadata lookups
catalogserviceLow (18)Readycompleted

Weekly PR Risk Digest

Forwardable summary for engineering leadership

High-risk changesMissing controlsTop risky services
Weekly PR Risk Digest
23PRs reviewed
4High-risk changes
3Missing rollback
2PII/data risks
Top risky services
  • auth-service — 2 high-risk changes
  • paymentservice — 1 critical data sensitivity
Recommended actions

Require rollback template on Tier-1 PRs · Enable privacy gate for Critical sensitivity

Works with the tools your team already uses

Runroom AI does not replace your engineering tools. It connects them into one production-risk and incident-intelligence layer.

GitHubJiraDatadogPagerDutySlackTeamsOpenAI optionalPostgres/pgvector

Built for controlled engineering environments

Runroom asks for access to sensitive engineering systems. Tenant isolation, human approval gates, and a full audit trail keep AI-assisted governance under control.

✓Tenant isolation
✓RBAC
✓Audit trail
✓Connector permissions
✓PII redaction
✓Human approval gates
✓No autonomous production changes
✓Customer-hosted deployment option
✓Retention controls

Trust evidence in the product

Audit trail and approval inbox screenshots show Runroom routes decisions — it does not autonomously change production.

Approval Inbox

Human approval gates before release

SRE approvalPrivacy approvalService owner
Approval Inbox
SRE approval required
CHG-auth-service-421
Pending
Privacy approval required
CHG-auth-service-421
Pending
Service owner approval
CHG-payments-318
Approved
Waiver requested
CHG-catalog-204
Review

Audit Trail

Decision trail for governance and compliance

Agent task completedApproval grantedDeploy watch generated
Audit Trail
  • 14:30Agent task completed — Risk Investigation Agent
  • 14:31Risk decision recorded — High (78)
  • 14:32Approval requested — SRE, Privacy
  • 14:33Approval granted — Service owner
  • 14:34GitHub comment posted on PR #421
  • 14:35Deploy watch generated — auth-service
Share this page

Run a 4-week Runroom AI pilot

Connect 1–3 repositories and your existing engineering tools. Runroom reviews production-impacting PRs, identifies readiness gaps, flags PII/data risks, generates deploy watch plans, and produces a weekly production-risk report.

Run a 4-week pilot on 1–3 repositories. See which production changes are risky, which controls are missing, and what incidents connect back to code changes.

Loading form…