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

Rezolve DeskIQ reads twelve months of your own tickets and ranks what to automate first, with the projected hours behind each one. It can do that because Support Effectiveness measures every request end to end — including the ones that never became tickets.

90% → 10% after-hours IT dependency Black Angus Steakhouse

Rezolve DeskIQ · Service-Desk Intelligence: Stop guessing what to automate.

DeskIQ clusters twelve months of your IT tickets into real intent families — password resets, access requests, VPN, onboarding — and scores each on how much of it a machine can actually finish. Then it writes the flows, APIs and remediation straight into Creator Studio.

Top automation opportunities Ranked by potential

1. Password & MFA resets - Account access - 96% Automation potential
2. Software & access requests - Service catalog - 91%
3. VPN & connectivity - Network - 88%
4. Onboarding / JML - Joiner · mover · leaver - 84%
5. Mailbox & distribution lists - Collaboration - 79%

Support Effectiveness · Where the ranking comes from: You can’t rank what you never counted.

Most reporting starts at the ticket. This starts a step earlier — at every request that entered support, however it arrived — and follows each one to where it actually ended. In this sample month, 1,065 requests came in and 613 became tickets. The other 452 are the ones ordinary reporting never sees, and the ones DeskIQ learns the most from.

Request cascade

Four ways in. Two ways out.

In · 1,065 requests · last 30 days

• Conversations: 620
• Portal: 210
• Smart Mailbox: 140
• Voice IQ: 95

452 never became a ticket 42% of everything that came in
613 became tickets 58%

Tickets deflected · Knowledge + Automation 320 +23% vs prior period

Tickets deflected · Live chat 132 +9% vs prior period

Conversational Dashboards · Ask Sidekick: Ask your service desk a question. Get the chart.

Every dashboard has a sidekick built in. Type what you want to see in plain language and it builds the view: incidents by severity, SLA risk, automation trends. No report builder, no analytics queue, no waiting a sprint for a number you needed this morning.

Named proof · Desks that ran it: The teams who did this, and the numbers they’ll say out loud.

Investors Community Bank · Financial services · IT ~50% fewer tickets
SUNY Morrisville · Higher education · IT 35% fewer escalations
Black Angus Steakhouse · Hospitality · IT 90% → 10% After-hours IT support dependency.
Lightbridge Academy · Education · IT 40%+ Of team-member questions auto-answered, 24/7/365, by “Bridge Assist AI”.

Straight answers: Service desk intelligence and analytics, the specifics.

How does Rezolve.ai decide what to automate next?
Rezolve.ai’s service desk intelligence clusters twelve months of your tickets into intent families, such as password resets, access requests, VPN, and onboarding. It scores each one on how much of it a machine can actually finish, then ranks the opportunities by impact, with the projected hours behind each one.

What does Support Effectiveness measure?
Support Effectiveness follows every request from first touch to outcome, however it arrived: chat, portal, smart mailbox, or voice. Most reporting starts at the ticket, so it misses requests resolved by knowledge, automations, or live chat.

What are conversational dashboards?
Conversational dashboards let you ask your service desk a question in plain language and get the chart back: open tickets by priority, incidents by severity, SLA risk or automation trends. There is no report builder and no waiting on an analytics queue for a number you need today.