The decision desk
AI incident investigation: Rootly vs incident.io vs Resolve AI
Compare Rootly AI SRE, incident.io Investigations, and Resolve AI for tracing production failures across alerts, deployments, code, and telemetry.
Our take
Choose Rootly for investigation alongside incident coordination, incident.io for Nexus-backed response workflows, or Resolve AI for a dedicated agent investigation workspace.
The quick difference
3 tools, at a glance
Start with the fit. Read the individual breakdowns below before choosing. Scroll the table on smaller screens.
| Tool | Best fit | Main strengths | What to check |
|---|---|---|---|
| Rootly | Engineering teams wanting investigation connected to incident coordination. | Evidence-linked root-cause hypotheses · Correlation of deployments, telemetry, and previous incidents · Suggested remediation and incident communication support | AI SRE has custom pricing separate from the entry Incident Response price. |
| incident.io | Teams that want evidence-backed investigation within their incident-response process. | Parallel hypothesis analysis with evidence links · Nexus context and customizable investigation skills · MCP connections and pull-request suggestions | Investigations requires Response; a free Basic account does not establish free Investigations access. |
| Resolve AI | SRE teams adding investigation assistance to an existing incident and telemetry stack. | Parallel domain-specific investigations and verification · Workbench threads for questions and steering · Engineer-approved reverts, GitHub Actions, and alert silencing | Credit prices and work-unit conversion require a quote. |
Compare pricing, features, and source dates
Prices describe the named plan, not total cost. Different billing units are not directly equivalent. Scroll the table horizontally on smaller screens.
| At a glance | RootlyVendor documentation | incident.ioVendor documentation | Resolve AIVendor documentation |
|---|---|---|---|
| Consider it for | Engineering teams wanting investigation connected to incident coordination. | Teams that want evidence-backed investigation within their incident-response process. | SRE teams adding investigation assistance to an existing incident and telemetry stack. |
| Named plan / entry point | AI SRE: custom quote AI SRE amount and billing interval unconfirmed | Investigations: price unconfirmed Requires Response; AI price and billing interval unconfirmed | Custom credit pricing Usage credits; amount and billing interval unconfirmed |
| Free option | No ongoing free plan | Available | Unconfirmed |
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| Integrations | Slack, Datadog, GitHub, Jira, MCP | Slack, Microsoft Teams, MCP | PagerDuty, Slack, Datadog, Grafana, Prometheus, GitHub Actions |
| Billing details | AI SRE is quote-based and can be purchased independently or bundled. The displayed $20/user/month Incident Response Essentials and separate $20/user/month On-Call Essentials prices are not AI SRE prices. A typical two-week trial is introductory access, not a permanent free AI SRE plan. Investigation quotas were not publicly confirmed. | Basic incident management is free, with single-team on-call and essential automation. Investigations requires Response, and its total price and allowance were not confirmed publicly. Paid Response and On-Call figures should not be presented as an all-inclusive AI investigation price. Nexus is underlying platform intelligence, not a separately purchased product. | The current pricing page describes credits consumed by defined production tasks, including chat, alert triage, investigations, and background work. It publishes no fixed credit price or conversion table. Recurring free access and included investigation limits were not confirmed. Do not substitute unrelated Resolve-branded chatbot pricing. |
| Last checked | Sep 26, 2026 Official source | Sep 26, 2026 Official source | Sep 26, 2026 Official source |
Rootly
Rootly combines incident coordination with an AI SRE product that examines telemetry, recent changes, and previous incidents. Its investigation experience proposes probable causes, connects them to supporting evidence, and suggests remediation steps. The surrounding platform adds useful context about service ownership and earlier response work, while AI features also assist summaries, communication, and retrospectives. That makes Rootly relevant to teams that want the technical investigation and the coordination of responders to reinforce each other. AI SRE can also be purchased independently, so an organization does not have to assume that every Rootly component is mandatory. Its appeal is the connection between a failure, the changes around it, and what the team learned previously. Suggested changes still require human approval, and AI SRE has its own commercial scope rather than inheriting the entry response price.
incident.io
incident.io Investigations is an agent-assisted debugging product built on Nexus, the platform’s model of a production environment. Nexus brings together incident history, deployment information, telemetry, documentation, and service relationships. Investigations uses that context to develop hypotheses, identify affected services, and expose evidence behind its conclusions. The vendor describes an adversarial agent that challenges findings before they reach responders, plus continuing analysis as new signals arrive. Engineers can ask questions through the agent and connect other tools through MCP. This is an appealing approach for a team that wants investigation to begin with accumulated organizational context rather than a blank chat window. Investigations requires the Response product. Its documented action boundary is also specific: it can propose a pull request, while a person reviews and merges the change.
Resolve AI
Resolve AI centers its incident experience on specialized Agent Teams and a shared Workbench. Several agents can pursue different explanations in parallel, with a verifier checking conclusions against production evidence. Engineers use Workbench to question a finding, add context, redirect a line of analysis, or open a side thread without stopping the main investigation. The same surface supports approved actions such as commit reverts, GitHub Actions workflows, and alert silencing. Resolve integrates with existing incident and observability tools, including PagerDuty, Slack, Datadog, Grafana, and Prometheus, making it relevant to teams that want to retain those systems. Its strongest distinction here is the explicit workspace for collaboration between engineers and investigating agents. It is a candidate for complex, cross-service incidents where several technical explanations need to be explored at the same time.
What context reaches the investigation
Rootly connects live signals and code changes with its service catalog and prior incident work. incident.io makes Nexus the persistent context layer, including documentation, deployment history, and service relationships, with skills and connectors for organization-specific investigation logic. Resolve AI draws production evidence from connected systems and organizes work around specialized investigators. Rootly and incident.io are especially relevant when response-platform context is already valuable to the team. Resolve is attractive when the organization wants a dedicated investigation layer over an established operational stack. None of these choices requires treating an AI explanation as evidence by itself.
How engineers work with the findings
Rootly emphasizes a visible chain from alerts and changes to probable causes and suggested fixes. incident.io combines evidence links, an investigation timeline, and a challenge step for competing hypotheses. Resolve exposes agent work through Workbench and lets engineers pursue separate threads or steer analysis as it develops. For a responder who primarily needs a concise explanation within incident coordination, Rootly or incident.io may feel like the more direct fit. A team that wants to interact with several developing theories has a particular reason to consider Resolve’s Workbench. These are differences in interaction design, not measured accuracy rankings.
From explanation to an operational change
incident.io publishes the narrowest action description in this comparison: Investigations can create a pull request for a human to review and merge. Rootly describes remediation suggestions and draft fixes with explicit human sign-off before changes. Resolve documents several engineer-approved action types within Workbench, including reverts and workflow execution. This makes Resolve worth considering when responders want to move from evidence to an operational action in the same interface. Rootly is compelling when that action belongs to a coordinated incident process; incident.io fits a response workflow whose change path is intentionally centered on code review.
The entry platform price is not the AI price
Rootly’s entry Incident Response and On-Call subscriptions are separate from quote-based AI SRE. incident.io offers free Basic incident management, but that does not confirm free Investigations access; the AI product requires Response and its total price remains unconfirmed. Resolve’s current page uses work-based credits without publishing a price or conversion table. Comparing those unrelated entry points as equivalent investigation subscriptions would be misleading. The profiles distinguish confirmed platform access from the AI scope, allowances, and billing terms that still need a quote.
Which incident investigation tool fits?
Choose Rootly when investigation and incident coordination should share context. Choose incident.io when Nexus and the existing Response workflow are the foundation of the team’s operations. Choose Resolve AI for a dedicated workspace that lets engineers steer parallel investigations across connected systems. The central decision is how responders want to gather evidence, discuss it, and move toward a fix.
Sources & methodology
This article uses vendor documentation and our editorial analysis. We have not performed a controlled hands-on test. Product facts were checked on Sep 26, 2026; each profile records its own verification date.
- Rootly profile and source notes · AI SRE investigation workflow · Separate AI SRE and response pricing
- incident.io profile and source notes · Investigations and its action boundaries · Nexus context, skills, and connectors · Response plans and Investigations requirement
- Resolve AI profile and source notes · Agent Teams and Workbench · Work-based credit pricing · Production-operations platform