Tool overview
Resolve AI is listed under AI Infrastructure & MLOps AI tools.
What is Resolve AI?
Resolve AI connects agents to code, infrastructure, telemetry, incident systems, and team knowledge. It investigates alerts, builds evidence-backed root-cause reports, supports incident remediation, and exposes REST, MCP, and custom-agent workflows.
Best for
Engineering organizations reducing on-call and incident-response toil
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
Automated alert triage and investigations
Evidence-backed root-cause analysis
REST API, MCP, plugins, and custom agents
Cloud integrations with customer-hosted Satellite access
Use cases
Triage alerts before an engineer responds
Investigate incidents across telemetry and code
Build operational agents with production context
Help engineers onboard to complex systems
Pros
- More than 60 production-system integrations
- REST API and MCP access are documented
- Satellite supports private networks and on-prem data sources
Cons
- Pricing requires a sales process
- Meaningful results require broad, read-only production access
- Agent actions still need engineering governance
Limitations
Deployment includes a managed cloud control plane and optional customer-hosted Satellite components.
Automated hypotheses and remediation guidance must be verified before production action.
Pricing details
Billing options
Enterprise contract based on deployment, integrations, and agent workflows
Pricing note
Resolve AI does not publish numeric plan prices. Commercial terms are scoped around connected production systems, deployment size, incident and on-call workflows, and custom-agent requirements.
Supported languages
- English
Integrations
GitHub
GitLab
AWS
GCP
Kubernetes
Datadog
Grafana
Prometheus
Slack
Microsoft Teams
Notion
Confluence
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