AI scaling that pays off
From the right starting point to day-to-day operations: AI that does not stall in the pilot project. Measurable and at a fixed price
57% of companies now use AI. Yet 87% say they tap little or none of its potential, across every company size. The model is rarely the problem. Two questions usually remain open: Where do we start? And does the process keep up? For each, we have a dedicated path.
Trusted by
First the AI foundation, then scale in the value stream
AI Foundation
Clarity on where AI pays off. And the foundation that lets it scale.
A decision paper in three to four weeks: prioritised use cases with quantified benefits, a technical target picture for data and systems, and a first prototype.
AI in the value stream
Value is created in the value stream, not in silos.
For end-to-end processes that are too expensive, too slow or too error-prone: we break down silos, orchestrate technology and data across the entire process, and measure the effect against the starting point.
Together with heuristiq: CTG is responsible for strategy, organisation and processes; heuristiq for data, systems and implementation.
AI Foundation
Many AI initiatives do not fail because of the model, but because of what lies beneath it: scattered data, systems without interfaces, no rules for usage. Every new use case then starts from scratch again. AI Foundation therefore clarifies two things: where AI pays off first in your company, and what technical foundation it needs to run effectively and at scale. With AI agents that act autonomously in mind, this foundation matters even more. Part of that is an organisational question, part a technical one: CTG is responsible for strategy, organisation and processes; heuristiq for the data foundation, system landscape and architecture.
The effort lies in the foundation, not in the licence.
What you end up with
Interviews with the leadership team and IT leadership, plus a workshop day with the executive board. The outcome: a target picture, an action plan and a funding check. Then you decide, with no further obligation.
One shared AI workspace with roles, permissions and governance, on which every further application builds, instead of each department buying its own tool. One endpoint for all models, the data stays in Europe, and costs per application are visible. Open models save an indicative up to 70% compared with comparable commercial models.
Even in the first wave, small AI applications go into productive use. At a mid-sized company with 2,000 employees, five applications were live after five months, and more than half of those trained are actively using them.
We derive the role profile for your own AI role from the target picture and support you in filling the position. In parallel, 10+ AI champions qualify alongside their day jobs in an AZAV-approved course, eligible for funding under the Qualification Opportunities Act (QCG), and anchor AI in their departments.
Peter Kramer, Associate Partner at CTG Consulting, will clarify that in 30 minutes. Free of charge and without obligation.
AI in the value stream
Most AI applications are island solutions: a tool here, a pilot there, each within one department. That saves time locally, but time saved is not yet a return. Results and cash only materialise once silos are broken open and technology, data and automation are orchestrated across the entire end-to-end process. That is why we start from the business outcome and decide for each process step which solution has the strongest business case.
What sets the 6% apart
Value for our clients:
Book an introductory call with Peter Kramer
Peter has accompanied transformation and growth programmes for almost 20 years, structures your starting point and puts together the team that fits professionally and culturally. Which of the two paths is yours is usually settled in these 30 minutes.
Frequently asked questions
When is AI Foundation the right choice, and when AI in the Value Stream?+
If it is still unclear where the biggest lever lies in your company, start with the foundation. If you can already name a specific process that is too expensive, too slow or too error-prone, go straight to the value stream. The introductory call usually settles this in a few minutes.
We already have AI pilots running. Is this still worth it?+
Often precisely then. The typical situation is several pilots that work in isolation but never make it into regular operations. The foundation puts them in context, shows which ones will hold and what is missing to take one of them into production.
Do our data need to be cleaned up first?+
No — that is one of the most common reasons for endless waiting. What matters is that the data needed in the chosen process is available and can be linked. We check that before a business case is calculated.
Do you work with a specific model provider?+
No. We work model-agnostic: models are selected for their suitability for the use case at hand and remain interchangeable. The architecture is built so that a change remains possible. Data sovereignty likewise stays with you: architecture and operations follow that requirement, not the other way round.
How much work will this involve for us?+
At its core, a few workshops with the executive board, business departments and IT, plus input on systems and the data landscape. Preparation, assessment and implementation are on us.
What does the EU AI Act mean for us as a user company?+
Parts of it already apply: prohibited practices and the requirements for the AI competence of employees have been in force since February 2025, with further obligations following in stages. For you, that mainly means building transparency and documentation obligations in from the start rather than retrofitting them. We place this within the governance workstream and factor it into architecture and operations. Not legal advice.
What does it cost?+
The introductory call is free of charge. For the consulting engagement we agree a clearly defined scope at a transparent fixed price; for implementation, pricing is per section with defined exit points. That way you decide afresh after every step.
AI initiatives are often eligible for funding.
An AI initiative costs in two places: the technology and the people who operate it. For qualification, the Qualification Opportunities Act (QCG) applies; for the initiative itself, we check what funding may be available. Because both consulting fields converge with us, we raise the funding question before the project starts.
AI scaling
Clarifies and delivers where AI creates impact in your company: sequence, implementation, measurable effect.
Funding and funded training
Checks which parts of your initiative are eligible for funding, and brings the qualification of your employees on top through the Qualification Opportunities Act (QCG).
Book a no-obligation consultation now
Talk to us about:
- Recruiting
- Wachstumsstrategie
- Talentgewinnung
- Beratung