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How we deliver · IT ticket automation

IT ticket automationYou pay for the same IT tickets again and again

Much of the volume is noise, repeats and simple requests. Each one costs money, and your people’s time.

IAC.ai: You pay for the same IT tickets again and again

The problem

What one client paid before we started

CS 02, billed per ticket. Much of the volume is noise, repeats and simple requests. Each one costs money, and your people’s time.

25,000IT tickets a month
×
€10per ticket
×
12months
=
€3Ma year, for tickets

Where the volume comes from

IAC.ai: Five automation levers driving 40% ticket elimination at scale
SEEN IN CS 02

Noise and duplicates

Alerts and repeats open tickets for issues you already know about.

FIXED BY THE LEVERS
2 · Smart filtering4 · Smart correlation
IAC.ai: Outcome-based: 40% of IT tickets removed, €1M+ saved a yearSEEN IN CS 02

Repeat incidents

The same root cause comes back, because nobody removes it for good.

FIXED BY THE LEVERS
1 · Self-healing6 · Process improvement
IAC.ai: Five opportunities ready to fund, from a 4 to 6 week discoverySEEN IN CS 09

Manual handling

Classification, routing, approvals and simple requests done by hand.

FIXED BY THE LEVERS
3 · AI agent self-service5 · AI-driven resolution
IAC.ai: A governed automation estate: 30% fewer incidentsSEEN IN CS 03

No common control

Each team runs its own tools and automations, with no monitoring.

The cheapest ticket is the one that never opens. Then the one your users solve themselves. Then the one closed in seconds.

What we automate

Six levers that remove tickets, in this order

Each lever is sized on your ticket data first. Most programs combine several.

ALL TICKETS TODAYWHAT YOUR TEAM STILL HANDLES ▶
1 · PREVENTSelf-healingKnown issues fixed automatically, before a ticket is raised.Used in CS 02
2 · PREVENTSmart filteringDuplicates, noise and tickets for known incidents never reach the queue.Used in CS 02
3 · DEFLECTAI agent self-serviceUsers solve common requests themselves, at any hour.Used in CS 02
4 · SPEED UPSmart correlationRelated tickets linked: one ticket, one root cause.Used in CS 02
5 · SPEED UPAI-driven resolutionClassification, routing, approvals and fulfilment run as workflows in your ITSM tool.Stack layer 1
6 · IMPROVEProcess improvementThe support flow itself made simpler and faster.Used in CS 02
40%of tickets removed in CS 02
10,000tickets a month, gone
ON THE TOOLS YOU HAVE
ServiceNowWorkatoPower Automaten8nClaudeOpenAI GPTGeminiMCP

Prevent first, then deflect, then speed up. Each lever is picked from your data, not from a catalog.

Six levers that remove tickets, in this order

One problem, three ways

You choose how we work on your tickets

Start with one way. Add the next when the first one pays. You keep control at every step.

We advise you
Fast Discovery for IT
IAC.ai: Fast Discovery: four stages, one investment decision
On your ticket data: what to prevent, deflect or speed up, and what it is worth.Fast Discovery →
With you
Our engineers fix it in your team
IAC.ai: Support engineers: level 2 and 3 inside your team
Engineers and support engineers, under your lead. CS 03: 30% fewer incidents.Support engineers →
For you
We build and run it
IAC.ai: Managed services: we run it for you, under an SLA
Can be outcome-based. CS 02: 40% of tickets removed, €1M+ a year.Managed services →

1.1 Fast Discovery for IT

Our data-driven method: from your ticket data to a plan

The same four Fast Discovery stages, run on your ticket data.

1Stages 1–2 · Assess & collectFind the operational consolidation point and collect dataBusiness and IT views in one place: strategy, processes, applications, information and technology.
2Stage 3 · AnalyzeAnalyze the data with data scienceHigh-volume tickets deeply analyzed. ML algorithms and other techniques look for patterns, noise and meaning.
3Stage 3 · PrioritizeMap to our automation use case libraryPatterns matched to 1,000+ use cases across verticals and functions.
4Stage 4 · PlanBuild the solution on your existing investmentsA roadmap with timeline and automation maturity, reusing the tools you already own.

Data first, then use cases, then a plan. The same method used in CS 02. About Fast Discovery →

Our data-driven method: from your ticket data to a plan

Case study 02 · How the value was sized

Four numbers size the value

The same method builds your business case, from your own baseline.

25,000IT tickets a month
×
30%automation rate, business case
×
€10per ticket (CS 02 ratio)
×
12months
=
€900Kbusiness case, a year
Business case
30% · 7,500 tickets a month · €900K a year
Delivered
40% · 10,000 tickets a month · €1M+ a year
1

Your baseline

Volumes, costs and cycle times from your own data, not market headlines.

2

Only what changes

Incremental benefit only. Cash savings kept apart from released time.

3

Owner sign-off

The benefit owner agrees every number before it goes to the board.

CASE STUDY 02 · GLOBAL WORKSPACE PROVIDER · OUTCOME-BASEDOutcome-based: 40% of IT tickets removed, €1M+ saved a year
40%of tickets removed
€1M+saved a year
70+solutions live
3 yearsoutcome-based program
Read the case →
IAC.ai: Outcome-based: 40% of IT tickets removed, €1M+ saved a year

Before implementation cost. We beat the business case by 10 points, over a 3-year outcome-based program. We still support the solutions.

Four numbers size the value: CS 02, step by step
Paul Bates
“The Intelligent Automation bots provided by IAC were easy to implement and highly effective leading to immediate results.”
Paul Bates · Co-founder, Uptic

Next step

Start with your ticket data

One export, under NDA, shows what to prevent, deflect or speed up, and what it is worth.

This week

1. A 30-minute call

Your ITSM tool, ticket volumes, costs, and what hurts most today.

Days, not months

2. Share your ticket history

An export of your tickets, under NDA. We look for patterns, noise and repeats.

4 to 8 weeks of work

3. Fast Discovery for IT

A sized, prioritized plan: which tickets to remove first, and what it is worth.

Send us your monthly ticket volume

We come back with a first step, not a pitch. No prices on this page: they go in your proposal.

Prefer to talk? Book a 30-minute call.

Your tickets, your tools, your data: the plan reuses what you already own.

We use these details only to reply. See our privacy notice.

Bring us one problem

One working session on your problem. A proposal follows within 5 working days.

Bring us one problem