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AI and automation case studiesWhat clients like you got, stated as it is

Nine case studies across the three pillars. Clients anonymized under NDA. Full detail on request.

Bring us one problem
IAC.ai: What clients like you got
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You do not need to study our offers. Bring us the problem.

AI and technology is our field. Tell us the problem in your own words. We qualify it with you, then the right pillar, or a mix.

1We advise you2We build it with you, or for you3We keep it running and paying

Industries

Eight of ten industries already served, one method

Finance and insurance

Finance & insurance

Bank support, BPO platform

CS 03CS 06
Healthcare and life sciences

Healthcare & life sciences

Pharma and medical devices

CLIENTS
Retail and consumer goods

Retail & consumer goods

Ecommerce to ERP, 2 countries

CS 07
Manufacturing and industrial

Manufacturing & industrial

Discovery, technology center

CS 01
Energy and utilities

Energy & utilities

Same method, no case yet

NOT YET
Transport and logistics

Transport & logistics

Airline: AI agent

CLIENTS
Travel and hospitality

Travel & hospitality

Hospitality, workspace, airline

CS 02CLIENTS
Tech, media and telecom

Tech, media & telecom

Telecom, identity, software

CS 08CS 09CLIENTS
Real estate and workspace

Real estate & workspace

Flexible workspace provider

CS 02
Public sector and education

Public sector & education

Same method, no case yet

NOT YET

CS = one of our nine case studies. CLIENTS = client work shown in our client logos. Where we have no case yet, the method applies the same way.

Different industries, the same problem: AI value leaks between the idea and the P&L.

Nine case studies

One page per case: the challenge, what we did, the result, the steps we owned.

CASE STUDY 02€1M+a year, over a 3-year program
Outcome-based: 40% of IT tickets removed, €1M+ saved a yearGlobal workspace provider · listed company · $3B+ revenue a yearThe challenge25,000 IT tickets a month, billed per ticket. Multilingual data, and a client that wanted no upfront risk.What we did
  • Data science on the ticket history, to find what to automate first
  • 70+ AI and automation solutions built and run
  • Outcome-based over 3 years, beating the business case
The result40%of tickets removed: 10,000 a month70+solutions live3 yearsoutcome-based programFor youREAD THE CASE →
CASE STUDY 01€400–600Ka year of savings potential identified
90 days of 360 Discovery: an AI roadmap ready to fundGlobal engineered-textiles manufacturer · production and innovation hub in AsiaThe challengeSlow quality feedback, siloed data and reactive maintenance, with no clear place to start with AI.What we did
  • Quality, production, warehouse and maintenance assessed
  • 28 opportunities ranked, 5 ready for pilot
  • A roadmap, a business case, then a technology center design
The result5pilot-ready use cases25 to 40%efficiency gain identified90 dayselapsed, on site and remoteWe advise youREAD THE CASE →
CASE STUDY 0330% fewerincidents
A governed automation estate: 30% fewer incidentsLeading financial institution · Middle East, Europe, Asia and the Americas · with a partnerThe challengeEach team ran its own automations, with no common support, no monitoring and no change control, in a regulated business.What we did
  • Incident, problem and change management
  • Proactive monitoring of every automation
  • License use optimized: 20% lower license cost
The result+40%SLA adherence20%lower license cost100%of automations coveredWith youREAD THE CASE →
CASE STUDY 041 dayafter signing, first engineer live
Senior engineers in the team 1 day after signingEuropean software companyThe challengeHiring was too slow, the profiles were wrong, and offshore options raised doubts on depth and accountability.What we did
  • Senior full-stack engineers from our active bench
  • No recruitment cycle for the client
  • Managed by us, replaced if needed, one monthly fee
The resultSeniorfull-stack engineers0recruitment cycles for the client1monthly fee per engineer, all includedWith youREAD THE CASE →
CASE STUDY 0530–80%lower cost
AI agents in 30+ deployments: 30–80% lower costCross-industry · finance, supply chain, customer ops, HR, analytics · IAC and partnersThe challengeHigh-volume manual work, errors and rework, slow cycles, and compliance that manual work could not keep up with.What we did
  • AI agents and automation for five business functions
  • Invoices, claims, returns, onboarding and KYC
  • Supported and improved after go-live
The result2x to 5xfaster processes80 to 100%of targeted work automated30+deployments across clients, 2021 to 2025For youREAD THE CASE →
CASE STUDY 0690 daysto a SaaS MVP
A client-owned SaaS platform, live in 90 daysFinancial services BPO · United Kingdom · with a partnerThe challengeThe client wanted to sell digital services without its own developers. Operations were manual and disconnected.What we did
  • Booking workflows, integration layer, AI helpdesk agent
  • Multi-tenant: sold to the client’s own customers
  • 100% of the code owned by the client
The result100%of the code owned by the clientMulti-clientone platform for the client’s customers4 streamsplatform, integration, UX/UI, helpdesk and AIFor youREAD THE CASE →
CASE STUDY 0787% fasterorder lead time
87% faster order lead time, from every channel to the ERPRetail distribution and ecommerce · Spain, then Portugal · with a partnerThe challengeOrders came from marketplaces, a web shop, EDI, email and a portal, with no single layer to run them.What we did
  • Five order channels in one execution flow
  • ERP sync, invoicing and exceptions automated
  • Live in Spain, now extending to Portugal
The result5order channels in one flow2countries1execution layer for the groupFor youREAD THE CASE →
CASE STUDY 08100+certified in under a month
100+ people certified in process mining in under a monthGlobal tele­communications vendorThe challengeNo internal process mining skills and no discovery method, so every discovery needed outside consultants.What we did
  • Hands-on program on the client’s own mining tool
  • Practice on real cases with our discovery method
  • An official certificate for every participant
The resultUnder 1 monthfrom start to certificate3hands-on modules1certified internal teamWe advise youREAD THE CASE →
CASE STUDY 095opportunities in 4–6 weeks
Five opportunities ready to fund, from a 4 to 6 week discoveryGlobal identity and security technology leaderThe challengeNo shared AI roadmap. Service ticketing was manual. Self-healing and knowledge management were weak.What we did
  • Self-healing and SLA, service ticketing, AI knowledge base
  • Business cases for each opportunity
  • One roadmap for the group, ready to build
The result3themes assessed4 to 6 weeksof discovery1roadmap for the groupWe advise youREAD THE CASE →

Clients and what they say

“I love how pragmatic IAC is. They focus on data, outcomes, and ROI. Discover, Implement, Run, Repeat. No product sales pitch or overpromises.”
Alex TeterisAlex TeterisDirector IT, IWG plc
“The decision to collaborate with IAC on our RPA projects was one of the best decisions we've made.”
Vincenzo MarchicaVincenzo MarchicaChairman, Intelligent Automation Community · Vincix Group, IAC client
“The Intelligent Automation bots provided by IAC were easy to implement and highly effective leading to immediate results.”
Paul BatesPaul BatesCo-founder, Uptic
“The best engineers we have ever worked with. Sharp, flexible, genuinely invested.”
Co-founder and DirectorEuropean software company (CS 04)
“The IAC Team has experience very few have when it comes to leading real-world hands-on efforts in enterprise RPA and Intelligent Automation. They understand the challenges of scaling and the importance of a solid ROI model and business case.”
Frank CasaleFrank CasaleFounder, Institute for RPA & AI
Customer conversations with Alex Teteris, IWGCustomer conversations: Alex Teteris, IWGWhy IWG works with IAC, in his own words.▶ Watch the video

Case studies and guides to download

Three case studies, a white paper and an interview. Leave your work email and get the PDF at once.

How IAC delivered 30% IT cost savings to a Fortune 2000 client
Case study

How IAC delivered 30% IT cost savings to a Fortune 2000 client

IT tickets cut on an outcome-based model, for a global workspace provider.

PDF · 6 pages
Charting the future
Case study

Charting the future

How a global manufacturer built its AI roadmap and its technology center, starting with an IAC discovery.

PDF · 8 pages
Beyond cost savings
Case study

Beyond cost savings

How a leading bank governs and supports its growing digital workforce, with fewer incidents.

PDF · 10 pages
Outcome-based contracting for intelligent automation
White paper

Outcome-based contracting for intelligent automation

What it is, what it is not, and how paying for outcomes works in practice.

PDF · 12 pages
IAC: a strictly results-driven approach
Business interview

IAC: a strictly results-driven approach

Olivier Gomez, CEO and Co-founder, on why IAC commits to results (2022).

PDF · 7 pages

Want a result like this?

Bring us one problem. One working session, then a proposal within 5 working days. Full case studies shared under NDA.

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