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Scenario · IT & systems

Half your tickets do not need an engineer

The IT helpdesk agent: level one, 24/7

Passwords, access, VPN, folder permissions. The agent classifies the ticket and a robot executes it, including in systems with no API, via UI Agent. Engineers get only what needs an engineer.

55%of tickets at this example group are level one: passwords, access, VPN. Today every one passes through an engineer's hands.

Executive summary

Challenge

A 12-person helpdesk handles 3,200 tickets a month; over half are routine.

What changes

The agent recognises the case and triggers a robot; UI Agent covers systems without APIs.

Business value

Resolution within minutes; engineers return to project work.

Systems & scope

Teams, ITSM (ServiceNow/Jira), Active Directory / Entra ID; agent + robots + UI Agent.

Illustrative scenario

A trading and services group, 5,000 users

The helpdesk takes 3,200 tickets a month. 55% (1,760 cases) are level one: password resets, folder access, VPN, printers, accounts for new joiners.

Each case is fifteen minutes of console clicking, done by an engineer. Meanwhile, IT projects wait in the queue.

The current reality

  1. HumanA user calls or files a ticket
  2. WaitingThe ticket waits in the queue for 4 hours on average
  3. HumanAn engineer resets, grants and configures by hand
  4. SystemThree systems with no API: clicking through consoles
  5. Error riskAccess granted “just for now” stays for years
  6. WaitingL2 escalations wait because routine clogs the queue
HumanSystemWaitingError risk

The hidden cost of the current process

A simple ticket costs more than the IT budget shows.

  • 440 engineer-hours a month go to tasks you could write down as a script.
  • A user without access cannot work, and the business bears the downtime cost.
  • An access audit means weeks of piecing together trails from email and consoles.

The cost of doing nothing

A year of L1 routine in engineers' hands≈ 147 800 €
3 years: the same helpdesk≈ 443 500 €
After growth to 7,000 users (per year)≈ 207 000 €

You pay for the automation once; the manual process costs you again every month.

The process after automation

  1. AutomationThe user messages the agent on Teams
  2. AutomationThe agent verifies identity and classifies the case
  3. AutomationA robot runs the reset, access or VPN change, via UI Agent where there is no API
  4. HumanHigh-risk access: one approval from the system owner
  5. AutomationThe ticket closes itself, fully documented in ITSM
HumanAutomation

What the automation handles

  • Resets, standard access and routine diagnostics 24/7
  • Execution in API-less systems via UI Agent
  • Full documentation of every step in ITSM

When a human decides

  • High-risk access and unusual exceptions
  • Infrastructure and architecture changes
  • Security incidents: always a human

Before

Time to resolve an L1 case~4 h
Nights and weekendsno coverage
Routine share of team workload55%
Trail of granted accessscattered

After

Time to resolve an L1 caseminutes
Nights and weekends24/7
Routine share of team workloadexceptions only
Trail of granted access100% in ITSM

Value model: example assumptions

Illustrative model
1,760 L1 tickets × 15 min= 440 h / month
440 h × €28 fully loaded hourly cost= €12,320 / month
12 months× 12
Annual capacity released≈ 147 840 €

Business benefits

  • Engineers return to projects and the IT backlog shrinks
  • Users regain access within minutes
  • Every permission granted by catalogue, fully traceable
  • The helpdesk scales with the company without new hires

Board-level KPIs affected

mean time to resolve · first-contact resolution · cost per ticket · IT project throughput

What management gains

  • A live picture of what breaks most, where and why
  • SLAs measured automatically
  • Less dependence on individual administrators

Estimate it for your organisation

hours released per month
annual capacity released

An illustrative estimate based on your inputs. It models released capacity and is not a savings promise.

Systems in this scenario

Inputs

  • Teams / ticket portal
  • ITSM (ServiceNow / Jira SM)
  • Email / phone

Mientha agentic layer

  • UiPath Agent Builder
  • UiPath robots
  • Maestro™ · Action Center

Core systems

  • Active Directory / Entra ID
  • ERP, CRM, business systems
  • Legacy consoles (no API)

Human approval: Teams / Action Center

What we deliver

  • Analysis of ticket statistics and highest-volume categories
  • A level-one case catalogue with rules and thresholds
  • An agent on Teams + robots, incl. UI Agent for API-less consoles
  • Integration with ITSM and the service catalogue
  • A pilot on the 2-3 heaviest categories
  • Monitoring and catalogue growth every sprint

What we need to start

  • A 1-2 month ticket export with categories
  • A service and access catalogue, even a partial one
  • A process owner on the IT side
  • Technical accounts for test environments

Implementation roadmap

Discovery

We map the process, data and exceptions with process owners.

Design

Target flow, business rules, approval thresholds.

Build

Agents, robots and integrations in your environment.

Validate

Tests on real cases, exception handling.

Go-live

Controlled rollout with human oversight.

Optimise

Monitoring, reporting and continuous improvement.

Duration depends on the number of systems and rules; a single process usually takes a few weeks.

Risk and controls

Autonomy under control

  • The agent works only within the service catalogue: nothing off-list
  • High-risk access always requires human approval
  • Every robot step logged in ITSM, so an audit takes minutes
  • A kill switch and instant fallback to manual handling

Why now

  • Every month ~€12,300 of engineering time goes to scripted work
  • Uncovered nights and weekends mean operational downtime
  • UI Agent handles systems that could not be automated before

Why this matters to:

CIO

The team works on projects, and every change is fully traceable.

CISO

Access granted by catalogue and thresholds, with no silent exceptions.

COO

People stop waiting half a day for access before they can work.

Questions we usually hear

“We have a self-service portal.”

The portal takes the ticket and the agent resolves it, without waiting for an engineer. The portal stays.

“A machine granting access? That sounds dangerous.”

The robot grants only catalogued access, within IT-set thresholds, and logs every step. A manual “just for a moment” in a console is harder to audit.

“Our systems have no APIs.”

That is what UI Agent is for: it works the interface like a person, with the same permissions and under the same oversight.

When this may not be the right solution

  • A few hundred tickets a month with a 2-person IT team: too little routine
  • No ITSM at all: process basics first
  • The service catalogue changes chaotically week to week

A question for your next board meeting

How many IT projects are waiting in line because your best engineers are resetting passwords?

How many engineers are you employing to do a robot's work?

Send one month of ticket statistics: we will point out the categories the agent takes over first.

Send us one month of ticket statistics

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