Our centre of competence for Artificial Intelligence
A competence centre does not sell projects, it makes them possible. This is where the people, the method, the technology stack and the applied research live that feed Artificial Intelligence into every Valuemate service line, from Service Desk to Cybersecurity.
Artificial Intelligence is not a vertical service: it runs through everything we do. The Service Desk classifies and routes tickets with machine learning models, Cybersecurity uses it in detection, Systems Engineering brings it into infrastructure automation, IT Staffing needs to assess AI skills in the profiles it selects.
The AI Competence Center is what makes all of that possible. It owns the skills, the standards and the reference architectures, and puts them at the disposal of the service lines.
The boundary with the other two AI initiatives is clear. AI Services is the business unit that goes to market, signs the contracts and answers for the result at the client. AI-LAB is the public experimentation space, where we test what can be built. The AI Competence Center is the capability that feeds both: experiment, engineer, govern.
The centre brings together skills that are rarely found in the same place: computer science and software engineering, applied mathematics and statistics, data science and machine learning, computer vision, user experience design and product development.
That mix is deliberate. A model that works in the lab but that nobody can use has created no value, and a polished interface on top of the wrong model is worse still. The two have to be designed together.
Consulting and solutions. We embed Artificial Intelligence into the business management systems already in service, where the data and the processes actually live, rather than bolting on a separate application nobody will open.
Scale. We take companies beyond the prototype and into the business model: model lifecycle management, performance measurement and ongoing oversight.
Training. Learning paths on data and Artificial Intelligence, both tailored for companies and as recurring courses, from the fundamentals for management through to technical content for people working with data every day.
The centre's skills come from real projects across very different sectors. Some of the problems solved, described by type:
Document intelligence. Recognising and cross-matching tables held in documents of heterogeneous format, whether images or editable text, with OCR extraction and content classification. Applied to financial and sustainability statements.
Clinical decision support. Machine learning algorithms analysing three-dimensional movement for diagnostic purposes, returning both a description of the analysis and an indication supporting the clinical decision.
Computer vision. Normalising photographs of the same artwork, meaning cropping, alignment and evening out of lighting conditions, to give the correct input to an inconsistency detection algorithm.
Document classification. Reviewing and optimising an existing automatic classifier using supervised active learning techniques.
Data analysis. Analytical dashboards built on booking and usage data, returning indicators useful both to the platform operator and to its own customers.
Training. Programmes for management on AI fundamentals, decision support systems and generative AI, and advanced courses for technical teams on machine learning, feature engineering, data management and Python.
The centre also oversees the responsible use of Artificial Intelligence inside Valuemate and in client projects: the internal policy, transparency on generated content and compliance with Regulation EU 2024/1689.
This is not a formality. The AI Act deadlines run in stages through to 2027 and apply to organisations that merely use third-party systems: having a function that owns the subject, rather than documents with no owner, is the difference between being compliant and looking compliant.
The AI Competence Center is the capability. AI Services is how we bring it into your systems and processes, from use case analysis to proof of concept and into production.
Discover AI Services →If you would rather see what we build when we experiment, the projects are public and free to use: go to AI-LAB →
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