Your situation: AI journey assessmentWhere do you stand on the AI journey?
Five levels, each with its own blocker and its own way out. Then who we help, and the problems we solve at each stage, each with the offer and a client case that proves it.
Wherever you start, the same team takes you to the next level.CS 02: 40% of IT tickets automated, €1M+ saved a year.
Who we help
Is this you? Two of three, and we fit.
We fit best when three things meet: the right company, at the right moment, with the right people around the table. Two of the three are enough to start.
The company
Mid-size and large groups
Many entities, countries or units
Vendors run AI, no common rules
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.
Bring us the problem. It lands in one of three pillars.
The problems we hear most, in our clients’ words, AI or not. Grouped by where you are on the journey, from getting the go-ahead to keeping AI under control. Each one shows the pillar, the offer and a client case that proves it.
Pillar 1 · Advise & DiscoverPillar 2 · Build, Implement & DeployPillar 3 · Run, Maintain, Scale & OptimizeThe dots show the pillar that usually answers each problem.
1
Stage 1 · Levels 1 and 2
Get the go-ahead
Defend AI to your board: sell the idea, with an ROI story it will fund.
At the start, AI is an idea. To get the funding you need facts: where AI pays, what it costs, and a business case your CFO can check. We advise you. You decide, with facts, before you invest.
1Advise
What you get
One decision per initiative: invest, test, defer or stop.
Business cases built on your baseline, not headlines. The benefit owner agrees every number.
An executive readout your leaders read, and a workbook finance checks.
Fast 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.
A working session for your board or ExCom: where AI pays, and what it risks. Then three short documents: a report, a business case workbook and a decision readout.
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.
The idea is funded. Now set the rules, build the framework and the team.
Once the business case, the ROI and the funding are approved, you need structure to scale: one owner, one set of rules, one front door for every AI initiative, and people who can find, build and run use cases.
1Advise2Build
What you get
Operating model and decision rights: Center of Excellence or federated.
One intake, scoring and stage gates for every use case. Risk tiers ready for the EU AI Act.
Roles, skills and sourcing plan, and a 12-month roadmap your board can approve.
The use cases are chosen and funded. Now they must go live, and stay live. We build it with you, with engineers in your team, or for you, as a project. You own what we build.
2Build
What you get
Engineers in your team, hired in 30 days or less. You steer.
A fixed scope, or a team we manage, delivered to agreed milestones.
Old stacks moved in waves, each wave with a business case and a way back.
AI you can defend to your board, auditors and regulator.
Two controls at every step of the same five steps, from the first idea to the solution in production. Governance is built in from the first use case, so you never pay to fix it later.
1Advise2Build3Run
What you get
Risk tiers and controls, ready for the EU AI Act.
Human approval before anything reaches production, and a way back.
Logging, audit trails and monitoring in every automation.
Step 1 · Discover
Risk-tiered
Each use case is classified by risk, including its EU AI Act category.
Your data stays yours
NDA first. Read-only access. Only the data the use case needs.
Step 2 · Decide
You own the decision
Business case, owner and acceptance criteria agreed before any build.
No model lock-in
Platforms follow your architecture, not a partner list.
Step 3 · Build
Security controls
Access, privacy and vendor controls agreed with your team.
Tested before release
Every deliverable is tested against its acceptance criteria.
Step 4 · Go live
Human approval
Nothing reaches production without your go or no-go.
Roll-back ready
A way back is planned before each release.
Step 5 · Run & improve
Traceable
Logging, audit trails and monitoring in every automation.
Value tracked
The value is measured against the baseline every quarter.
1Advise
“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 answers one question: are we AI Act ready?
CS 02€1M+saved a year, outcome-based
Companies like yoursEight of ten industries already served →
Your counterparts: our teamWho does the work, and from where →
From pilots to scaleOne set of rules to scale AI across the group →
Fast Discovery →
1.1Fast Discovery
1.4Advisory on demand
AI Enablement Framework →
1.3Capability academy
2.1Talent-as-a-Service
Project or dedicated team →
2.3Modernization and migration
Managed services →
3.2Managed services
3.1Support engineers
3.3Optimize and scale
