Rezolve.ai Ranked Highest in the AI for IT Agents Use Case in the 2026 Gartner® Critical Capabilities for AI Applications in IT Service Management

Much of the industry conversation about AI in IT service management centers on the employee-facing front door. But the other half of the service desk — the agents, practice leads and I&O teams doing the work behind it — is where AI has just as much ground to cover. This use case is about them.

What we believe this ranking reflects

We believe this placement reflects how we think about the agent’s day. Service desk agents lose their time to the work around the work: reading long threads to understand a ticket, hunting for the similar case someone solved last quarter, writing the same update in three formats, and re-doing by hand what should have been automated months ago. AI for IT agents, done well, removes that overhead — and does it in a way the team can inspect, approve and trust.

How Rezolve.ai supports IT agents

Agent Assist puts AI in the agent workspace. Agent Assist handles AI triage, generates ticket summaries, surfaces similar tickets from history, and drafts replies — so agents open a ticket with the context already assembled and a first draft already written, and spend their attention on judgment instead of assembly.

DeskIQ shows the team what to automate next. DeskIQ clusters your ticket history into ranked automation opportunities with projected impact. Instead of guessing where automation would pay off, service desk leaders get a prioritized list grounded in their own data.

Agent Studio turns those opportunities into governed automations. With Agent Studio, teams build agents in plain language or clone from a marketplace of 50 ready-made agents, with MCP tool integrations to connect the systems the work actually touches. DeskIQ identifies the opportunity; Agent Studio ships it.

A system of record built AI-first. All of this runs on a true ITSM system of record — incident to change to joiner-mover-leaver, assets and CMDB — used standalone or augmenting the ticketing system you already run.

Governed by design. Every automation and autonomous action is approval-gated where you want it to be, fully audited, and explainable. Agents and their leaders can always see what the AI did and why — a glass-box approach that makes it safe to hand over more of the repetitive work.

What this looks like in production

When roughly 70% of requests are resolved before they become tickets, the tickets that do reach agents are the ones that genuinely need a human — and the platform makes those faster too. MyEyeDr resolves issues in about 10 minutes, with roughly 30% of issues never becoming a ticket. Black Angus Steakhouse cut after-hours IT dependency from 90% to 10%, which means fewer late-night escalations landing on the team.

Rezolve.ai is rated 4.8/5 on G2 and is SOC 2 Type II and ISO 27001 certified, GDPR compliant, and HIPAA-ready.

What comes next

The direction is straightforward: keep shrinking the work around the work. More context assembled before an agent opens a ticket, more automation opportunities surfaced from real ticket data, and more of the repetitive middle handled autonomously — always approval-gated, audited and explainable.

See it in your own environment — book a demo, or read how service desk teams run on the platform in our case studies.

Gartner Disclaimer

Gartner, Critical Capabilities for AI Applications in IT Service Management, Siddharth Shetty, Chris Matchett, Luis Fernandez, 17 August 2026.

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