Teams · IT
Most of your IT tickets won’t happen.
Start resolving tickets autonomously. MyEyeDr cut typical resolution from ~4 days to ~10 minutes, and ~30% of issues never become a ticket at all. Black Angus Steakhouse took after-hours IT dependency from 90% to 10%. Across the platform, ~70% of requests are resolved before they ever become tickets.
Named numbers stay with the customers who reported them, platform-level figures are labeled as such. Every story, on the record →
You know this queue by heart
Every IT leader runs the same math: the same twenty issues, the after-hours pager, an MTTR measured in days, and knowledge scattered across five systems. The queue isn’t a staffing problem. It’s an architecture problem.
L1 is the same twenty tickets, forever
Password resets, access requests, printer ghosts. Investors Community Bank pointed autonomous resolution at the repeats: ~34% of tickets auto-resolved within three months, and ticket volume down roughly half, quarter over quarter.
After-hours coverage burns people out
Black Angus Steakhouse ran restaurant IT with 90% of after-hours issues depending on reaching IT directly by phone. With “Stuart” answering chat and voice around the clock, that dependency is 10%, and daytime call dependency halved.
MTTR is measured in days, patience in minutes
MyEyeDr’s typical resolution went from ~4 days to ~10 minutes across 30 departments: with Confluence knowledge and BMC Helix ticketing wired in, not replaced.
Your knowledge is everywhere except the ticket
The answer exists: in Confluence, SharePoint, a veteran’s head. Sidekick grounds every response in your sources and cites them, so resolution stops depending on who’s on shift.
The five acts of an agentic service desk
This is the whole platform, in the order your tickets experience it.
The tickets that never happen
Sidekick answers and executes on Teams, Slack, email, web and voice: grounded, cited, and able to act. Autonomous resolution runs 60–80% for common ticket types.
The ones that reach a human, pre-analyzed
Ticket Intelligence triages and summarizes; similar-ticket search surfaces how it was fixed last time; Smart Response drafts the reply. Your agents review and send, seven intelligences in one workspace.
Repeat work, retired
Describe the workflow in plain language and Agent Studio drafts the agent; clone from a 50-agent marketplace; connect your stack through governed MCP tools. Even approvals move into chat, HPE Aruba Networking’s managers sign off on requests without leaving Teams.
Know what to automate next
Rezolve DeskIQ clusters your ticket history into ranked automation opportunities with projected impact, so the roadmap writes itself from your own data.
Nothing you can’t audit
A true AI-first ITSM underneath: incident, change, request, JML, assets and CMDB. Run it standalone, or as the AI layer on ServiceNow or the ITSM you already have: Gesa kept EasyVista, MyEyeDr kept BMC Helix.
~30% of issues never become a ticket
MyEyeDr, a US optometry and eyecare network, runs one ITSM flow across 30 departments, with Confluence knowledge and BMC Helix ticketing integrated into Rezolve.ai: tickets arrive in Helix already routed. Typical resolution time fell from about four days to about ten minutes, and roughly a third of issues are resolved before a ticket exists.
“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 · MyEyeDrBrowse the customer stories →
“Rezolve.ai helped us reduce after hour calls to IT from 90% to 10%.”
IT teams on the record
Published deployments with a name on them, click through for the numbers and the people behind them.
Black Angus Steakhouse cuts after-hours IT dependency from 90% to 10% with Rezolve.ai
Gesa Credit Union makes Rezolve.ai the default IT support channel for 1,000+ employees
BW Offshore brings 24/7 IT support to 890 people across 5 global regions with Rezolve.ai
These are the customers on the public record, plenty more run Rezolve.ai without a public story. Browse all customer stories →
Questions we hear from IT teams
What makes this “agentic” rather than a chatbot?
Eight specialized AI agents reason over every conversation (retrieval, execution, governance and more), so Sidekick doesn’t just answer, it acts: resets, requests, workflows. Every step explainable, every action on the record.
Do we have to replace our ITSM?
No. Rezolve.ai is a full AI-first system of record when you want one, and an AI layer when you don’t: MyEyeDr kept BMC Helix, Gesa kept EasyVista, and there’s a dedicated ServiceNow augmentation path.
What resolution rates are realistic?
Across the platform, ~70% of requests are resolved before they become tickets, and autonomous resolution runs 60–80% for common ticket types. On the record: MyEyeDr sees ~30% of issues never become tickets; Investors Community Bank auto-resolves ~34% within three months of go-live.
How is autonomous action governed?
Every agent is approval-gated where it matters, every decision is explainable, and every action lands in an audit trail. Glass-box AI: your team can read exactly why Sidekick did what it did. SOC 2 Type II, ISO 27001.
Which channels does it cover?
Microsoft Teams, Slack, email, web and voice, Rezolve VoiceIQ answers the phones. Voice matters more than most teams expect: Black Angus covers its restaurants after hours with “Stuart” answering chat and voice around the clock.
Where else Rezolve.ai runs
Bring your top ten ticket types
We’ll map them against what the platform resolves autonomously today, and show you the audit trail behind every single action.