AI incident management: Incidents triaged, briefed and written up before your team gets to them.

IT incident management with AI agents built in, on Rezolve.ai's governed ITSM system of record. The AI and the record are built as one, not bolted together.

L0Level Zero agentPrivate note · 14 seconds after submit
INC-0536 · Missing SharePoint folder, client call in 45 minutes
Assigned to Alex Rivera in the IT queue, qualified for SharePoint and data-loss incidents. Category set to Data & Storage → Data loss. Priority raised to Critical: urgent business impact and recovery already attempted. No open Problem record matches this root cause. No asset association: cloud data incident, not tied to a device.
category setpriority raisedproblem match noneasset n/a

What changes for your team: Four things your service desk stops doing by hand.

01

Triaged on arrival

Priority, category, queue and owner set in seconds, with the reason written down. Override it and the agent learns.

02

Resolved faster

The agent opens the ticket already briefed: what's broken, who's affected, how they feel, and the last fix that worked.

03

Major incidents caught early

Related incidents are clustered as they land. The pattern is flagged before anyone has to notice it.

04

Every fix teaches the next

The resolution note is drafted on resolve and keyworded, so the next matching incident starts with the answer.

And everything you'd expect
  • Intake from Microsoft Teams, Slack, email, voice and portal
  • Priority matrix: impact × urgency
  • SLA policies and escalation rules
  • CI and asset linkage, CMDB
  • Stakeholder and requester updates
  • Incident, problem and change linking
  • Dashboards and incident reporting
  • Full audit trail per ticket

Where it matters: Automated incident management, where it matters.

Triage, summaries and resolution notes are table stakes now. These are the parts that aren't.

Level Zero triage

Classification, prioritization and assignment on arrival, each with a stated reason. Wrong call? Override it; the agent learns the pattern.

before a human opens it

Incident analysis

What's broken, how often, since when, who's affected and the business impact, pulled from the description, notes and metadata into one panel.

health: at risk · on track

Sentiment analysis

Frustration, urgency, confusion and anger scored per ticket, with the exact lines that drove each score. High-risk tickets surface at the top of the inbox.

high-risk tickets sorted first

Similar tickets

Resolved incidents that match this one, ranked by match percentage, with their fix one click away. The second time is faster than the first.

81% match · resolved

AI resolution notes

Title, symptoms, root cause, steps, attempted remedies, applicability and keywords, drafted on resolve. Honest when the root cause is undetermined.

revert · modify

Explainable, end to end

Every classification, assignment and draft is logged with its reason. Audit a single ticket without reconstructing it from five systems.

glass box, not black box
Cluster detection

The major incident is spotted before anyone calls it.

Incoming incidents are clustered in real time. When several describe the same failure inside a short window, the cluster is flagged with a severity and count, and a major incident can be declared from it with every ticket already linked. Recurring clusters become problem candidates, matched against the Known-Error DB.

Problem management →

This issue seems to belong to the cluster "Front-desk system outage, multiple sites": 10 other tickets reported within 1.1 hours.
Critical severity11 ticketsReport major incident

Compared: How it compares to a typical incident management tool.

Typical incident managementRezolve.ai
TriageRules, or an agent reading the queueLevel Zero agent sets priority, category and owner with a written reason
Agent contextTicket fields and whatever the requester typedIncident analysis, sentiment, similar resolved tickets, drafted reply
Resolution notesTyped by the agent, if at allDrafted by AI on resolve, edited by the agent, keyworded for reuse
Major incidentsSomeone notices the patternClustered in real time, flagged with severity and count
ExplainabilityAI suggestions with no trailEvery decision logged and reviewable per ticket
AI and the recordAI sold as an add-on to the ticketing toolAI and the ITSM record built as one product

Incidents feed problems and changes. See AI problem management and AI change management.

Results from live deployments, on the service desks of a healthcare retail chain and a national restaurant group.

4 days → 10 minTypical resolution timehealthcare retail chain
90% → 10%After-hours load on the IT teamnational restaurant group

Straight answers: IT incident management, answered.

What is AI incident management software?

IT incident management software where AI agents do the repeatable work of the incident process: logging, categorization, prioritization, assignment, briefing the agent and drafting the resolution note, with every decision recorded and reviewable.

What are the 7 stages of incident management?

Identification, logging, categorization, prioritization, investigation and diagnosis, resolution and recovery, and closure. In Rezolve.ai, AI agents handle logging, categorization and prioritization on arrival, brief the agent for diagnosis, and draft the closure note.

What are the 5 C's of incident management?

A common shorthand is command, control, coordination, communication and cooperation: clear ownership, a controlled response, coordinated teams, timely updates to the people affected, and work across groups. Major incidents test all five at once.

Can Jira be used for incident management?

Yes. Jira Service Management includes incident management. Rezolve.ai incident management is different: the AI is built into Rezolve.ai's own ITSM system of record, so incidents are triaged, briefed and written up from the moment they arrive.

Does Rezolve.ai incident management work with ServiceNow or Jira Service Management?

Rezolve.ai incident management runs on Rezolve.ai's own ITSM system of record, with the AI built in. Teams that stay on ServiceNow, Jira Service Management or Freshservice can use Rezolve.ai's AI and automation layer with their existing ITSM instead.

How does the AI decide priority and assignment?

The Level Zero agent reads the incident, sets category and subcategory, picks the queue and agent, raises or lowers priority, and writes a private note with the reason for each decision so a human can review or override it.

How are major incidents detected?

Incoming incidents are clustered in real time. When several describe the same failure within a short window, the cluster is flagged with a severity and ticket count, and a major incident can be declared from it with every related ticket linked.

What is the best incident management software?

It depends on whether you need a full ITSM suite, an on-call tool or an AI layer. For IT teams, look for AI that explains each decision, catches major incidents early and drafts resolution notes. Rezolve.ai does all three on its own ITSM system of record.

Ready when you are: Start resolving tickets autonomously.

Trusted from JLL’s ~100,000-employee Ask Ethics rollout to TotalEnergies Denmark, Gesa Credit Union and Black Angus Steakhouse, and rated 4.8/5 on G2. See the same platform run your own IT, HR or Finance scenarios end-to-end: autonomous, governed, and fully explainable.

Bring twelve months of ticket history to the demo. DeskIQ ranks your top five automation opportunities on your own queue, with the projected hours next to each — you leave with the roadmap, not a slide about one.