Agentic AI Service Desk for IT, HR & Finance | Rezolve.ai

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2026 Gartner® Critical Capabilities

Highest score of 10 products, in two Use Cases.

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#1 in AI for End-User Self-Service

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#1 in AI for IT agents

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

These graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Rezolve.ai.

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Most of your IT tickets won’t happen.

After hours chat and voice AI resolve the bulk of queries, then hand off the rest to team with full context.

90% → 10% after-hours at Black Angus

Few HR asks will ever reach your team.

Benefits, policy and payroll questions get answered in about 30 seconds, anonymously and around the clock.

60–80% of common HR asks resolved autonomously

Run your enterprise FinOps like clockwork.

From invoice status to approvals, Rezolve.ai classifies, routes, and handles common financial operation requests autonomously.

Every invoice action logged and audit-ready

Because right now, your service desk logs the problem. Your team still solves it.

Rezolve.ai is a modern agentic AI service desk that resolves autonomously with HITL.

One platform · one journey: One request, end to end, and everything your team stops doing.

Not a pile of features, but a story in five acts. Most requests are resolved before they’re ever tickets; the few that aren’t get closed fast, automated, and measured, all on one governed system of record. Click into any act to go deep.

Act 1 · Resolve the tickets that never happen: Most of your queue disappears.

Employees ask Sidekick, the AI front door on Microsoft Teams, Slack, email, web and phone. It answers from knowledge you approve, cites its sources, and doesn’t stop at answers: it resets the password, provisions the software, books the leave, files the expense.

Act 2 · Assist the ones that reach a human: Your agents stop doing the digging.

When a request does need a human, the ticket arrives already worked: triaged, summarized, sentiment-scored, with similar tickets found and a reply drafted. Your agents make the judgment calls, the AI does the digging.

Act 3 · Automate the repeat work: Every repeat ticket becomes a one-time build.

The second time you see a ticket, automate it. Start from a catalog of 29 ready-to-run automation flows, clone a production-ready agent from the Marketplace, or have our team build it for you end-to-end: with approval gates, an audit trail and rollback built in.

Act 4 · Learn what’s worth automating: Your automation roadmap writes itself.

Rezolve DeskIQ clusters 12 months of ticket history into ranked automation opportunities with projected impact: the case for each build, made from your own history. And when you have a question, ask the dashboard; it answers with charts.

Act 5 · Record everything, audit anything: One governed system underneath it all.

Underneath the AI is a true, governed ITSM system of record: incident to change to JML, with assets & CMDB in the same platform. Run it standalone, or keep ServiceNow and run Rezolve.ai as the AI layer on top.

What this looks like in production: Real deployments. Named numbers.

A legacy spanning financial to hospitality enterprises, and governments to energy giants. See what our customers say about us.

Black Angus Steakhouse · Hospitality · IT
“Rezolve.ai helped us reduce after hour calls to IT from 90% to 10%.”
Constance Mayaki · Programming Manager · Black Angus

MyEyeDr · Healthcare · IT
“We have about 30% of our issues now that don’t even get a ticket. Which is huge.”
Lyle Florence · Sr. Manager, IT Operations & Support · MyEyeDr

TotalEnergies Denmark · Energy · HR
“This milestone marks the beginning of our AI-driven HR journey, paving the way for smarter, more accessible knowledge sharing across the company.”
Mette de Nully · Head of HRIS · TotalEnergies Denmark

Gesa Credit Union · Financial services · IT
“Our vision was to modernize employee support with automation and AI — Rezolve.ai made that vision real.”
Andrew Chung · CIO · Gesa Credit Union

JLL · Commercial real estate · HR
“We rolled out this platform, Ask Ethics, with Rezolve.ai and it is already making waves across JLL. We are talking about a hundred thousand employees benefitting from this right now.”
Pinak Dash · Executive Director, Technology · JLL

Across deployments, ticket deflection and autonomous resolution run 60–80% for common ticket types, with 25–35% less handle time on the tickets that do reach an agent. That’s agent time back for the work that needs a human. We lead with named outcomes, not category averages.

Why most “AI agents” can’t ship: The gap isn’t intelligence. It’s trust.

Every vendor promises autonomous agents. Most fall into one of two traps — the chatbot with a prompt, or the workflow in disguise — neither of which an enterprise can run at scale.

The test that matters: Can you run it at scale?

Typical “AI agents” A chatbot with a prompt · a workflow in disguise

Rezolve.ai Governed autonomy

The test that matters: can you run it at scale?

Guardrails Typical: no
Sentences a non-deterministic model is free to ignore
Rezolve.ai: yes
Policy enforced, not prompted — every tool gated

Accountability Typical: no
No record of why it acted — impossible to audit
Rezolve.ai: yes
Accountable by construction

Policy adherence Typical: no
One clever prompt away from acting outside policy
Rezolve.ai: yes
Instant kill switch — named approvers the platform enforces

Adaptability Typical: no
Every step pre-scripted — brittle the moment reality differs
Rezolve.ai: yes
Agents plan their own approach against your tools & knowledge

The verdict: Can’t run it at scale.

Governed autonomy — the only kind you can ship.

The receipt, not the promise

Every answer ships with its reasoning.

This is a real decision trace. Before Sidekick answered, it recorded how it understood the problem, how it classified the request, and which agent it routed to: step by step, in plain language.

Enterprise-grade by default: Autonomy you can actually approve

When this reaches your security team, here’s what they’ll find: every action attributable, every secret server-side, every tenant isolated, and your data is never used to train models, yours or anyone else’s. Security reviews move faster when every control is already named.