AI Incident Intelligence

Turn alert chaos into context

Understand alerts, Slack signals, status pages, and GitHub status in seconds. IncidentFlow helps engineering teams detect what matters, understand why it matters, and build operational memory from every incident.

Start free Book demo

Deploy #742 linked

Slack context detected

Active incidents

3 in progress

SEV-2 ongoing

Checkout API Latency

alerts grouped3 services impacteddeploy #742

Slack context summary: elevated error rate follows a deployment in checkout path; blast radius currently limited to EU checkout.

Incident timeline

09:12Latency spike detected on checkout-api
09:13Slack context detected from #incidents
09:15Deploy #742 linked to signal spike
09:16Status degradation confirmed in EU region

Related historical incident: Checkout latency after canary deploy (Jan 14)

Product preview

Incident Event Graph

Correlate alerts, changes, services, and historical context into one explainable incident view.

IncidentFlow investigation map

Active incident

Checkout API latency

SEV-2 incident

checkout-api3 services impacteddeploy #742alerts grouped

Error rate increased 4.2x after deploy #742, with primary impact on EU checkout flow.

Possible cause: DB connection saturation in checkout-read-replica.

Linked services

checkout-apipayments-apiauth-gateway

Related changes

checkout-service@742 - connection pool tuning Investigation state: monitoring rollback decision

Previous similar incidents

Jan 14: Checkout latency from replica saturation (resolved with pool rollback) Operational memory match: 87%

search-api error spike

new signalpossible relationconfidence 62%

Incident timeline

09:12 Alert storm begins across checkout services
09:13 Signal grouping in progress
09:15 Deploy #742 linked as likely trigger
09:20 Context summary published to on-call channel

Flow AI detected a second anomaly in the same deployment window.

Slack integration

IncidentFlow is Slack-aware by default

Connect Slack once, then Flow continuously reads incident channels, correlates operational signals, and surfaces context for active incidents.

Connect Slack

Channels detected

#incidents#alerts#oncall

Slack signals used in analysis

Thread context and decisions
Deploy references and service mentions
Escalation patterns and incident ownership

Too many alerts. Not enough context.

IncidentFlow transforms noisy signals into actionable incident intelligence.

Alert fatigue

Teams drown in repetitive alerts with no confidence on what needs action first.

Lost Slack context

Critical clues get buried in incident channels and handoffs lose key decisions.

Disconnected signals

Status pages, GitHub changes, and alerts stay fragmented across multiple tools.

No operational memory

Every incident starts from zero because past causes and resolutions are hard to reuse.

One place for incident intelligence

Ingest signals

Collect alerts, Slack discussions, status feeds, and GitHub changes in real-time.

Correlate context

AI links related events, services, people, and deployments into one incident graph.

Understand faster

Surface what changed, what is impacted, and what to do next in seconds.

Alerts + Slack + Status Pages + GitHub->IncidentFlow AI->Context / Timeline / Memory

Alerts + Slack + Status Pages + GitHub

↓

IncidentFlow AI correlation

↓

Context / Timeline / Operational Memory

See what actually matters

A single view of active incidents, probable causes, impacted services, and historical context.

Active incidents

SEV-2 incident

checkout-api3 services impacteddeploy #742alerts grouped

Context summary: error rate increased 4.2x after deployment #742, with primary impact on EU checkout flow.

Possible cause: DB connection saturation in `checkout-read-replica`.

Incident timeline

09:12 Alert storm begins across checkout services
09:13 Investigation state: signal grouping in progress
09:15 Deploy #742 linked as likely trigger
09:20 Context summary published to on-call channel

Linked services

checkout-apipayments-apiauth-gateway

Related changes

`checkout-service@742` - connection pool tuning

Investigation state: monitoring rollback decision

Previous similar incidents

Jan 14: Checkout latency from replica saturation (resolved with pool rollback)

Operational memory match: 87%

See what MCP actually returns

Ask a plain-English question, watch IncidentFlow run the right MCP tool, and review the structured incident context engineers can verify.

Ask a question in plain English

IncidentFlow starts from a normal engineering question, not a dashboard drill-down.

natural languageMCP questionstatus pages

Quick start with MCP

Connect IncidentFlow in under a minute and investigate incidents with full operational context.

Setup flow

Add IncidentFlow to MCP

Point your MCP client to IncidentFlow so investigation context is available in one place.

Connect operational signals

Authorize alerts, Slack context, status pages, and deploy metadata for correlation.

Ask investigation questions

Start with broad triage questions, then narrow by timeline, blast radius, and recent changes.

IncidentFlow console

{
  "servers": {
    "incidentflow": {
      "url": "https://mcp.incidentflow.io/mcp",
      "type": "http"
    }
  }
}

Add this server definition to your MCP workspace configuration.

Sample prompts

What needs attention right now?
Which incidents have customer impact?
What changed 15 minutes before checkout latency started?
Is this related to GitHub status, infra, or our deploy?

Response preview

SEV-2: checkout-api latency elevated in EU.
Correlated signals: 124 alerts, Slack #incidents thread, deploy #742.
External context: partial degradation on GitHub Status API.
Recommended next step: rollback checkout release candidate and monitor error budget.

Pricing

Start for free, scale as your incident intelligence needs grow.

Starter

Free

For individual engineers getting started with incident intelligence.

Limited channels
Limited analyses
Basic incident summaries

Start free

Pro

$15 / month

For fast-moving teams that need complete, correlated incident context.

Unlimited channels
Slack context analysis
Alert correlation
Incident timeline
Operational memory

Start free

Team

For organizations scaling reliability operations across teams.

Shared workspaces
Team intelligence
Integrations
Priority support

Contact sales

Request early access

Get on the waitlist for IncidentFlow.

Stop chasing alerts. Start understanding them.

Start free Talk to us