DevOps & Incident Response Bot
Slack-native agent that triages alerts, runs runbooks, and opens PRs for known fixes.

The Challenge
On-call engineers were paged constantly for known issues with documented runbooks, and MTTR was creeping up as the system grew.
Our Solution
Slack-native LangGraph agent that subscribes to Datadog alerts, matches them to runbooks, executes safe remediation steps, and opens GitHub PRs for code-level fixes — escalating to a human only when confidence is low.
Key Features
- Slack-native triage
- Datadog alert subscription
- Runbook execution engine
- GitHub PR drafting
- Confidence-based escalation
- Full audit trail
Our Process
- 1
Runbook capture
Catalogued 80+ existing runbooks.
- 2
Agent design
LangGraph state machine per incident type.
- 3
Safety
Read-only first, then guarded write actions.
- 4
Rollout
Enabled per service after dry-run validation.
Results
- MTTR down 48%
- On-call paging volume cut in half
- Auditable trail for every automated action
"On-call is humane again. The bot handles the boring 80% and only wakes us for the real ones."
Related Projects

Agentic AI Recruiting Copilot
Multi-agent system that screens resumes, ranks candidates against JDs, and drafts personalized outreach — with human-in-the-loop review.

RAG Knowledge Assistant
Internal chatbot answering policy, HR, and engineering questions over 50k+ documents with citations.

Invoice & AP Automation
AI pipeline that ingests vendor invoices via email, extracts line items, validates against POs, and posts to ERP.
Want a project like this?
Tell us what you're building. We'll show you how we'd approach it.
Start a Conversation