Sample reportMade-up data: a 6-person IT service desk, one week.← All sample reportsBook a pilot

Example Co. · IT Service Desk · 2026-10-19 to 2026-10-23

Where AI agents fit

Each task is scored on how consistently the team does it, how much time it takes and how much is redone. 2 tasks are ready for an agent now; 2 need a standard procedure first. Together the designs below would give back about 26–49 hours a week ($73K–141K a year).

5 of these designs are validated with the team: decisions, exceptions and what “done” means come from their answers. What the team told us →

TaskVerdictReadinessTeam h/weekBack h/weekBuild with
Password resets and account unlocksReady for an agent782910–16Copilot Studio, Power Automate
Provision software and access requestsReady for an agent81186–10Power Automate, Copilot Studio
Remote troubleshooting sessionsAI assist (a person acts)92202–4Microsoft 365 Copilot, Copilot Studio
Status update emails to usersStandardize first72254–11Copilot Studio, Power Automate
Triage and route incoming ticketsStandardize first84203–9Copilot Studio, Power Automate

Password reset and unlock assistant

Password resets and account unlocks · Ready for an agent · size M, about 3–5 weeks to build

Validated with 6 team members · 3 of 5 decisions described

An agent reads the locked-account ticket, checks the caller's employee ID and manager name against the directory, and prepares the reset or unlock. After the analyst approves, it applies the change and drafts the standard resolution note. It removes the hand-copied username and the knowledge-base lookups.

Full blueprint →

Access Request Fulfilment Agent

Provision software and access requests · Ready for an agent · size M, about 3–5 weeks to build

Validated with 6 team members · 8 of 9 decisions described

A Power Automate flow with a Copilot Studio agent for unclear cases prepares each approved ServiceNow access request: it picks the Entra group and license, checks approvals and license stock, then shows the analyst one change to approve. After approval it applies the change, writes the work note and sets the state.

Full blueprint →

Remote Session Assistant (analyst copilot)

Remote troubleshooting sessions · AI assist (a person acts) · size M, about 2–4 weeks to build

Validated with 6 team members · 2 of 5 decisions described

The company asked to keep remote troubleshooting with people, so this is an assistant, not an autonomous agent. It prepares likely causes and past fixes before the Quick Assist session and drafts the Work notes afterwards. The analyst runs the session and approves everything saved to the ticket.

Full blueprint →

Ticket Status Update Drafter

Status update emails to users · Standardize first · size M, about 3–5 weeks to build

Validated with 6 team members · 4 of 7 decisions described

When a ticket appears or changes in the queue, the agent reads the ServiceNow ticket and drafts a status or resolution email in the team's standard structure. The analyst approves or edits it in one step, then it is sent through Outlook and the note is saved on the ticket.

Full blueprint →

Ticket Triage Assistant

Triage and route incoming tickets · Standardize first · size M, about 3–5 weeks to build

Validated with 6 team members · 6 of 7 decisions described

Reads each new ServiceNow ticket in the unassigned queue and proposes a category, priority and assignment group using the team's rules. An analyst approves the proposal in one step before the agent writes it to the ticket. P1, security and VIP tickets are flagged for the analyst.

Full blueprint →

How to read this

Readiness weighs how many cases follow the same steps, how many team hours are at stake, whether the work moves data between systems, and how often steps are redone. “Standardize first” means the team does the task too many different ways for an agent to follow; its training guide comes first and its savings here are discounted. Designs use the company's own tools and its approval rules; build times are estimates for an experienced builder, including testing and a pilot. After launch, HourBack measures the same task again to show what came back.