Resolve AI review
A broad AI operations platform for teams coordinating remediation across complex systems.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Resolve AI provides AI agents for production engineering teams managing alerts, incidents, deployments, and recurring operational work. It supports alert triage and routing, parallel investigation across code, infrastructure, and telemetry, root-cause analysis with production evidence, deployment monitoring, anomaly detection, operational reporting, and runbook execution. The platform is aimed at organizations operating complex production environments, including regulated workloads, with web, API, and self-hosted options. It is particularly suited to teams that need governed remediation across multiple systems rather than a narrowly focused incident assistant.
Its ecosystem coverage is a central strength. Resolve AI connects with Google Cloud, Amazon Web Services, Microsoft Azure, Kubernetes, GitHub, Grafana, Datadog, Splunk, Prometheus, Slack, Notion, Elastic, Dynatrace, OpenSearch, VictoriaMetrics, and Sumo Logic. Teams can schedule operational workflows, trigger actions from events, update runbooks, and define approval requirements for actions such as alert silencing, commit reversion, pull requests, and GitHub workflows. Custom agents can be created through MCP, APIs, and skills, giving engineering teams additional ways to align investigations and remediation with existing processes.
The platform’s breadth makes it a fit for organizations coordinating production evidence across infrastructure, telemetry, deployments, and code. Its contact-sales pricing model is better suited to teams evaluating a governed operational platform than to small groups seeking a simple, self-serve tool with straightforward plan selection. Teams should choose Resolve AI when cross-system investigation, workflow automation, and controlled remediation are priorities. An alternative may be more appropriate for organizations that need only basic alert routing, a limited runbook tool, or a narrowly scoped deployment monitor.
Resolve AI pros and cons
- Where it wins
- Investigates incidents across code, infrastructure, and telemetry
- Connects observability, cloud, code, collaboration, and knowledge tools
- Supports governed remediation through approvals, runbooks, and workflows
- Where it doesn't
- Pricing requires a contact-sales process
- Its broad operational scope may require careful workflow governance
- Custom agents require MCP, APIs, or skills configuration
Resolve AI fact sheet, pricing and score →
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