AI-powered incident management and reliability intelligence platform for tracking incidents, services, timelines, and postmortems.
ResolveOps AI is a hackathon project built to help engineering and operations teams manage software incidents more clearly.
The platform focuses on incident tracking, service visibility, responder coordination, timeline management, and postmortem workflows.
Engineering teams often struggle with:
- Incident information scattered across chats, tickets, and documents
- Lack of clear ownership during incidents
- Manual postmortem creation
- Poor visibility into affected services and timelines
- Repeated incidents without structured learning
ResolveOps AI helps teams organize incident response workflows through a structured reliability intelligence platform.
It provides a single place to track:
- Incidents
- Services
- Responders
- Timelines
- Integrations
- Postmortems
- Incident tracking dashboard
- Service impact visibility
- Responder and ownership workflows
- Timeline-based incident history
- Postmortem workflow support
- AI-assisted reliability insights
- Production deployment on Vercel
- Next.js
- React
- TypeScript
- Tailwind CSS
- DynamoDB data model
- Structured incident records
- Service and responder entities
- Timeline and postmortem workflows
- Git/GitHub
- Vercel
- Hackathon MVP workflow
User Interface
↓
Next.js Application
↓
Incident Workflow Layer
↓
Data Model / DynamoDB
↓
Reliability Insights
- Built the hackathon MVP for an AI-powered incident management platform
- Designed product workflows for incidents, services, timelines, and postmortems
- Created the application structure using Next.js and TypeScript
- Designed the database model for incident and reliability workflows
- Deployed the project using Vercel
Website: https://resolveops-ai.vercel.app
- Add real AI-generated postmortem summaries
- Add Slack / Teams incident import
- Add service reliability dashboards
- Add authentication and team workspaces
- Add deeper analytics for repeated incident patterns