On-call triage agents
Investigates alerts before the on-call engineer is paged, building initial findings so shifts start with context instead of raw alert volume.
Resolve AI
ClaimResolve AI is an AI agent platform for production operations. It handles on-call alerts, incident investigations, and workflows in Slack, Teams, and CLI.
AI agents for production operations
Resolve AI is an AI agent platform for production operations. It is built to handle on-call alerts, incident investigations, and daily operational work so engineers can spend less time triaging and more time building.
The product combines ready-made agents with a shared platform underneath. The source describes on-call agents that investigate alerts, incidents agents that work with engineers to get to root cause, and background agents that automate operational workflows on a schedule or trigger. It also supports custom agents through MCP, API, and Skills, with outputs delivered into tools like Slack, Teams, CLI, and Resolve AI.
Features
Incident investigation
Correlates signals across observability data, assesses severity, identifies blast radius, and surfaces evidence for root-cause analysis.
Remediation workflows
Executes governed mitigation actions such as silencing alerts, running GitHub Actions, reverting commits, and opening pull requests when approved.
Workflow delivery
Surfaces findings, priority lists, and actions in collaboration tools such as Slack, Teams, CLI, and the Resolve AI interface.
Extensible agent platform
Supports custom agents through MCP, API, and Skills so teams can plug Resolve AI into existing production systems.
Production context graph
Builds a queryable production graph from services, dependencies, deploys, and team knowledge to keep investigations grounded in current context.
Use cases
On-call alert triage
Use on-call agents to triage incoming alerts, build initial findings, and reduce the amount of alert handling that lands on a human engineer at the start of a shift.
Incident root-cause analysis
Use incident agents when a production issue needs parallel investigation across code, infrastructure, and telemetry, with engineers steering remediation in Workbench.
Automated operational workflows
Use background agents to run recurring operational work, such as deployment monitoring, operational reports, or resource optimization on a schedule or trigger.
Custom production agents
Use the platform to expose production context and action primitives to custom agents via MCP, API, and Skills, without rebuilding core investigation and remediation logic.
Team workflow integration
Use collaboration surfaces like Slack, Teams, or CLI when teams want findings and recommended actions to show up in the tools they already use.
Pros and Cons
Pros
- Covers multiple production workflows in one platform, including on-call, incident response, and background operational tasks.
- Supports both ready-made agents and custom agent development through MCP, API, and Skills.
- Provides governed actions with approval controls, letting teams choose what can run autonomously and what needs review.
- Surfaces work in familiar collaboration and engineering tools rather than isolating it in a separate console.
- Includes production-readiness controls such as SAML SSO, RBAC, admin controls, logging, redaction, encryption, and retention controls in the source material.
Cons
- The provided pricing page does not show public prices or packaged tiers; it directs visitors to contact sales for enterprise plans and integrations.
- Integration breadth is described as 60+ connections, but the full supported list is not shown in the supplied content.
- Some incident and on-call capabilities are presented with example workflows, but the source gives limited detail on setup time, configuration depth, and exact operating limits.
FAQ
What does Resolve AI do?
Resolve AI is designed for production operations workflows: it can triage alerts, investigate incidents, and automate operational tasks through agents and the underlying platform.
Can teams build custom agents with Resolve AI?
The source shows agent workflows for on-call, incidents, and operational tasks. It also says the platform is exposed through MCP, API, and Skills so teams can build their own agents on top of Resolve AI capabilities.
Where do the results and actions appear?
The source describes agents surfacing findings and actions in tools such as Slack, Microsoft Teams, CLI, and Resolve AI itself, with engineers able to approve or let agents handle known patterns autonomously.
Does Resolve AI publish pricing?
The pricing page says to contact Resolve AI for enterprise plans and integrations; it does not list public prices or plan tiers in the provided content.
What systems does it integrate with?
The public pages mention 60+ integrations and list examples across code, infrastructure, telemetry, knowledge, and collaboration tools, but the specific full integration list is not shown in the provided content.
Quick Facts
- Category
- AI agent platform for production operations
- Primary workflows
- On-call, incidents, and operational tasks
- Deployment model
- Enterprise-oriented product with contact-sales pricing
- Source domain
- resolve.ai
- Integration scope
- 60+ integrations mentioned in the public product overview
- Delivery surfaces
- Slack, Teams, CLI, and Resolve AI