Investigate production incidents in minutes, not hours
The first platform combining AI SRE with AI Customer Support. CauseFlow connects to Slack, GitHub, Jira, CloudWatch and HubSpot, cross-references all data sources and delivers the root cause with fix recommendations — all in under 5 minutes.
Setup in 10 minutes · 5 free investigations/month · No credit card required
Memory leak in connection pool — auto-scaling triggered at 3:42 AM caused PostgreSQL max_connections overflow.
Connects to the tools your team already uses
Slack
Jira
HubSpot
Trello
Linear
PagerDuty
Confluence
NotionSlackJiraHubSpotTrelloLinearPagerDutyConfluenceNotion
GitHub
CloudWatch
PostgreSQL
MySQL
Datadog
Sentry
REST APIGitHubCloudWatchPostgreSQLMySQLDatadogSentryREST APIImpact Metrics
From 2-4 hours down to under 5 minutes per investigation
Far less than the engineering hours spent manually analyzing the problem
Average downtime cost for digital businesses
How CauseFlow investigates your problems
From any problem source, through all your tools, to the root cause —in minutes.
Receives the problem from any source
Via web interface, Slack, Jira or customer email. Describe the problem and CauseFlow starts investigating immediately.
Investigates all sources automatically
Connects to GitHub (commits, PRs, releases), CloudWatch (error logs), Jira (tickets), Slack (messages) and HubSpot (customer impact) simultaneously.
Identifies root cause with evidence
Cross-references logs, commits, tickets and metrics to deliver the root cause with confidence score and event timeline.
Recommends specific fixes
Suggests the exact fix: deploy revert, config adjustment, code fix PR. All with human-in-the-loop.
Learns from every investigation
Builds a Knowledge Base that accelerates future resolutions of recurring problems.
Complete and transparent audit trail
Every agent action is recorded in an immutable log visible to the customer. You see exactly what the agent did, when, and what data it accessed.
The first agent that crosses technical data with business tools
While competitors focus only on infrastructure, CauseFlow investigates the complete problem context. Receive a customer report 'I think my data was deleted' and CauseFlow automatically queries the customer's account in the database, checks audit logs for recent changes, determines if a deployment caused the issue, and generates both a technical fix and an explanation for the customer.
Deployment v2.4.1 introduced a race condition in the data sync service, causing intermittent record deletion.
Use CauseFlow in the way that makes most sense for your team
Via Slack
Send a message in Slack describing the problem and the agent investigates right in the incident channel. Results appear as a thread.
Via Jira/Trello
Assign a card to CauseFlow and it investigates automatically. The final report becomes a comment on the card.
Via Web Interface
Access the dashboard, describe the problem, and follow the investigation in real-time with visible audit trail.
Via API
Integrate CauseFlow into your alerting pipeline. Trigger investigations via REST API with result webhooks.
Via MCP Server
Use CauseFlow as an MCP tool inside your AI coding agent or IDE.
Via AI Agent
Let the CauseFlow agent work autonomously within your workflow.
Enterprise Security from Day 1
On-demand reading
The agent reads, analyzes and discards. Your data never leaves the perimeter.
Isolated encryption
Each tenant has individual KMS encryption via AWS.
Immutable audit trail
Every agent action is logged and visible to the customer.
No external training
Your data is never used to train third-party models.
Read-only by default
The agent never writes without explicit approval (human-in-the-loop).
Right to deletion
Delete all your data at any time.
LGPD and GDPR compliant since launch. SOC 2 Type II roadmap.