1
Level 1
Not started
Where you are stuck
You do not know where AI pays off first.
Your way out1.1360 Discovery →
€400K to 600Ka year of savings potential identifiedCS 01Your situation
Your situation: AI journey assessmentWhere are you on the AI journey?
Five levels. Each level has its own blocker, and its own way out.
No homework needed
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
Your situation at a glance
Find where you stand, and your way out.
Your level on the AI journey, your problem in your own words, and what it costs to wait.
01Where you standWhere are you on the AI journey?Five levels ↓
02Your problemBring us the problem. It lands in one of three pillars.Twelve problems ↓
03Who we helpIs this you? Two of three, and we fit.Is this you? ↓
04Why nowWhy now? Every month you wait is value you do not bank.Your own figures ↓
05Making the caseEvery AI decision needs a case. We help you make it, at every step.Two controls a step ↓
06Self-checkDo you recognize yourself here?Two minutes ↓
01 · Where you standWhere are you on the AI journey?Five levels. Each level has its own blocker, and its own way out. Find yours.1
2Level 2
Ideas
Where you are stuck
Ideas are not ranked by value, cost or risk.
Your way out1.1360 Discovery: ranked business cases →
5opportunities ready to fund, in 4 to 6 weeksCS 09
3
Level 3
Pilots
Where you are stuck
No owner, no common rules, no path to scale.
Your way out1.2AI operating model →
30+deployments in production, 30 to 80% lower costCS 05
4
Level 4
Production
Where you are stuck
AI and data roles take months to fill.
Your way out2.1Build engineers in your team →
1 dayFirst engineer live after signingCS 04
5
Level 5
AI in the P&L
Where you are stuck
Value leaks after go-live when no one runs it.
Your way out3.2Managed services →
€1M+saved a year, outcome-basedCS 02Wherever you start, the same team takes you to the next level. Every use case then goes the same five steps, with our role at each one →
02 · Your problemBring us the problem. It lands in one of three pillars.The twelve problems we hear most, in our clients’ words. AI or not.“We do not know where AI pays”
360 Discovery screens every function on real workflows and scores up to 40 use cases. Up to five get a business case. You end with one decision per initiative.
“Our pilots never reach production”
One owner, one set of rules and one front door. Every use case goes the same five steps, with one gate each, from the idea to production.
“Our costs are too high”
We size the saving on your own baseline: volumes, costs, cycle times. Four numbers make the business case. Then we build it, and can be outcome-based.
“Our processes are too slow”
AI agents and automation on the tools you already own, deployed with your sign-off, then improved every quarter.
“We bought the wrong tools”
Which AI platform do we bet on? Build, buy or reuse? Compared on your architecture, data and costs. We have no licenses to sell, so the answer fits your case.
“Our data is not ready”
The framework sets your data foundation, architecture and governance. Then we move slow data pipelines to faster, cheaper processing.
“AI risk and rules worry us”
Each use case is classified by risk, including its EU AI Act category. The framework sets risk tiers and controls. Advisory on demand solves one big problem: are we AI Act ready?
“Our people are not ready for AI”
Your people trained and certified on your real cases, on your tools and your data. One track per role.
“We cannot hire fast enough”
Engineers from our bench in your team in 30 days or less. At least 3 validated profiles per role. You choose, you steer.
“Our systems are too old”
Old stacks, old bots and slow data moved to what runs faster and costs less. In waves, never one big bang, each with a way back.
“We have software to build”
A fixed scope, or a dedicated team we manage, from requirements to a live product. The code is yours.
“We need someone to run it”
A defined scope, run as a product. We host, run, support and improve it. Service levels, not tickets to chase.
Not on the list?Your problem is not on the list? Bring it anyway.You do not need to know our offers. One working session, then a proposal within 5 working days.
Bring us one problemWe qualify the problem with you
One conversation. Tech-agnostic. Then the right pillar, or a mix.
Pillar 1Advise & DiscoverWe advise you. You decide, with facts, before you invest.- Where AI pays first, ranked on your data, with a business case.
- Your rules, roles and gates to scale AI.
- Your people trained and certified on your own cases.
- An expert on demand, for one big problem.
Pillar 2Build, Implement & DeployWe build it with you, or for you.- Engineers in your team in 30 days or less.
- A fixed scope, or a team we manage. We own the delivery.
- Old stacks and bots moved in waves, each with a way back.
Pillar 3Run, Maintain, Scale & OptimizeWe keep it running and paying, with you or for you.- Engineers who keep it running, up to 24/7.
- We run it for you as a product, under service levels.
- Better, cheaper and bigger, with value tracked every quarter.
Not sure where your problem fits? Bring it anyway.
03 · Who we helpIs this you? Two of three, and we fit.The company, the moment and the people. When two are true, one conversation is worth your time.The company
- Mid-size and large groups
- Many entities, countries or units
- Vendors run AI, no common rules
- Family-owned, founder-led or PE-backed groups
The people
- CEO, ExCom, Chief AI Officer
- CIO, CTO, COO, Head of Data
- CFO, CISO and function heads
- DPO, risk and compliance leads
The moment
- A new CEO, CIO or AI leader
- Pilots, but nothing in production
- A board push, a deal or a merger
- A competitor moves first on AI
Two of three true? Then one conversation on your problem is worth your time.
Bring us one problemYour industry? Eight of ten industries already served, each with its case studies →
More on who we help
Family-owned, founder-led and PE-backed groups too.
Why it matters: when every unit and every vendor runs AI its own way, pilots do not scale. You need one owner, one set of rules and one front door for every AI initiative, in every unit and country.
Companies like yoursEight of ten industries already served →Also: a PE deal or a new value creation plan, or a hiring freeze.
Why now: every quarter a pilot stays a pilot is value you do not bank. And AI and data roles take months to fill.
From pilots to scaleOne set of rules to scale AI across the group →- CEO and ExCom
- one decision per initiative
- CIO, CTO, COO
- one set of rules for AI
- Function heads
- quick wins on their data
- CFO
- savings you can bank
- CISO and DPO
- risk you can defend
Your counterparts: our teamWho does the work, and from where →04 · Why nowEvery month you wait is value you do not bank.The question is not whether AI pays off. It is what each month of waiting costs you. Try it with your own figures.01
Cost of delay
In CS 02, each month of waiting would have cost about €75K. Pilots that never reach production cost the same.
02
Most AI never pays
95% of companies see no return from GenAI (MIT NANDA, 2025). 42% dropped most AI initiatives (S&P Global, 2025). The few who ship win.
Value not banked after months
M3
M6
M9
M12
CS 02 business case: 25,000 tickets a month × 30% × €10 a ticket = about €75K a month. Illustrative, before implementation cost.
05 · Making the caseEvery AI decision needs a case. Wherever you are.At every one of the five steps, someone asks you to justify it. We help you answer, on five angles.The question at each step
- 1DiscoverIs it worth doing?A first case
- 2DecideShould we fund it?The business case
- 3BuildAre we building it right?Evidence at each gate
- 4Go liveIs it safe to switch on?Go-live evidence
- 5Run & improveIs it still paying?Value against baseline
The five angles: what they ask, how we help you answer
“What does it return, and when?”
A business case on your own baseline before any build. Then the value is measured against it, every month.
“Is it safe, and is it compliant?”
Each use case is risk-tiered. Controls agreed before the build, security tests before release, a human approves what matters.
“Why this tool, and can we change later?”
We start from what you own, compare options with no partner to push, and test on your stack.
“Who owns it, and who decides?”
You do. Your code, data and IP, and your go or no-go at every gate.
“Will people use it, and who runs it after?”
Roles and skills mapped. Your team builds with us, then is trained and certified to run it.
We advise you all the way, even when we build or run. Making the case is not only for pillar 1. Whatever you buy from us, we help you justify it, at every gate. You never make the case alone.
For regulated sectors: EU AI Act
The AI Act is live. High-risk rules land in December 2027.
Feb 2025Banned practices and AI literacy
Aug 2025General-purpose AI models
Aug 2026Transparency rules
Dec 2026Watermarking grace ends
Dec 2027High-risk AI systems
Aug 2028High-risk AI in products
Today
List before you classifyYou cannot rate the risk of AI you have not inventoried.
Value starts in productionEvery quarter a pilot stays a pilot is value you do not bank.
Capacity takes timeAI and data roles take months to fill. Start the pipeline now.
EU AI Act and AI Digital Omnibus (in force 27 July 2026). Dates as published; check before each use.
06 · Self-checkDo you recognize yourself here?Tick what fits, add your own words. We open the first meeting with it.Bring us the problem
One working session on your problem, then a proposal within 5 working days.
What happens next
- 1Book the conversationOpen slots in our calendar, shown in your time zone. A senior member of our team runs it.
- 2One working session on your problemWhat it costs today, where AI or automation pays, which pillar fits.
- 3A proposal within 5 working daysA fixed scope, the engineers you need, or a team we run for you.
One senior team, no hand-offMeet the team →