Resolve AI
AI production engineer for alerts, root cause analysis, and incident response.
What is Resolve AI?
Resolve AI is an AI production engineer that investigates alerts, runs root-cause analysis, and helps troubleshoot incidents across production systems. It is built for engineering and operations teams that want AI agents to triage noisy alerts, summarize likely causes, and reduce time spent jumping between logs, metrics, and runbooks.
Tools for building, hosting, testing, observing, connecting, and giving memory or computer access to AI agents.
See the full Agent Infrastructure guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Investigate alerts and summarize likely root causes before an engineer joins
Connect production signals to runbooks, issues, and response workflows
Reduce incident handoff time between support, engineering, and operations
Capture response patterns so future incidents become easier to diagnose
Fit to evaluate
Engineering teams with noisy production alerts and lean on-call coverage
SaaS operators that need faster incident triage without hiring a larger SRE team
Founders who want AI agents to connect observability, runbooks, and ticket workflows
Technical teams moving from manual alert review to structured incident automation
Business fit
Right for you if production incidents create customer churn risk, engineering distraction, or support escalations and your team already has observability data to connect. Resolve AI is a technical implementation, not a generic support bot; it needs engineering ownership, clear escalation rules, and careful access controls before it can act inside production systems.
How to evaluate Resolve AI
Use this category when a business wants agents that do work across tools, APIs, browsers, and data sources.
Confirm the exact workflow
Map Resolve AI to one concrete workflow first, such as investigate alerts and summarize likely root causes before an engineer joins. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare tool-calling, memory, browser automation, evals, observability, and deployment controls.
Compare practical alternatives
Compare Resolve AI with other Agent Infrastructure vendors before committing to a contract or migration.
Validate cost and rollout effort
Resolve AI does not publish standard pricing on its website. Expect a sales-led evaluation based on production environments, integrations, seats, and incident automation scope. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Resolve AI with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Investigate alerts and summarize likely root causes before an engineer joins, Connect production signals to runbooks, issues, and response workflows |
|---|---|
| Best-fit team | Engineering teams with noisy production alerts and lean on-call coverage, SaaS operators that need faster incident triage without hiring a larger SRE team |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | No public pricing found |
| Closest alternatives | Other Agent Infrastructure tools |
Resolve AI pricing
| Model | See vendor site |
|---|---|
| Snapshot | Resolve AI does not publish standard pricing on its website. Expect a sales-led evaluation based on production environments, integrations, seats, and incident automation scope. |
| Checked |
Common questions about Resolve AI
What is Resolve AI?
Resolve AI is an AI production engineer that investigates alerts, runs root-cause analysis, and helps troubleshoot incidents across production systems. It is built for engineering and operations teams that want AI agents to triage noisy alerts, summarize likely causes, and reduce time spent jumping between logs, metrics, and runbooks.
What is Resolve AI used for?
Common use cases: Investigate alerts and summarize likely root causes before an engineer joins; Connect production signals to runbooks, issues, and response workflows; Reduce incident handoff time between support, engineering, and operations; Capture response patterns so future incidents become easier to diagnose.
How much does Resolve AI cost?
Resolve AI does not publish standard pricing on its website. Expect a sales-led evaluation based on production environments, integrations, seats, and incident automation scope.
Who is Resolve AI best for?
Resolve AI fits Engineering teams with noisy production alerts and lean on-call coverage, SaaS operators that need faster incident triage without hiring a larger SRE team, Founders who want AI agents to connect observability, runbooks, and ticket workflows, Technical teams moving from manual alert review to structured incident automation. Right for you if production incidents create customer churn risk, engineering distraction, or support escalations and your team already has observability data to connect. Resolve AI is a technical implementation, not a generic support bot; it needs engineering ownership, clear escalation rules, and careful access controls before it can act inside production systems.