Resolve AI vs Rootly
Two DevOps AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
Resolve AI
resolve.ai
AI agents that run your software so engineers can build.
Best forEngineering teams wanting autonomous AI agents in their on-call and incident workflows.
PricingEnterprise · current pricing
What it doesPlatform deploying AI agents for production operations, on-call, and incident co-investigation. Agents triage alerts, perform root cause analysis on complex production issues, and execute operational workflows while capturing organizational knowledge, integrating via MCP, APIs, and custom skills.
Capabilities
Visit Resolve AI →- AI on-call agents
- Incident co-investigation
- Root cause analysis
- Operational task automation
- MCP and API integrations
- SSO, RBAC, and data redaction
Rootly
rootly.com
AI for on-call and incident response.
Best forEngineering and SRE teams wanting modern incident management with AI-assisted investigation.
PricingFree trial, from $20/user/mo · current pricing
What it doesAI-native incident management platform covering on-call scheduling, Slack and Teams incident response, status pages, and automated retrospectives. Its AI SRE surfaces probable root causes from alerts, code changes, and historical incidents, suggests fixes, and auto-generates timelines and summaries.
Capabilities
Visit Rootly →- AI root cause analysis
- On-call scheduling and alerting
- Slack and Teams incident response
- Automated retrospectives and timelines
- Status pages
- MCP server for IDE workflows
How to choose
Choose Resolve AI if you are engineering teams wanting autonomous ai agents in their on-call and incident workflows. Choose Rootly if you are engineering and sre teams wanting modern incident management with ai-assisted investigation. Both sit in DevOps; the right pick depends on your exact workflow and budget.
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