AI Implementation & Pilots

Measurable pilots in weeks, not years.

Controlled AI pilotOn-premises, cloud or hybrid LLM deploymentInternal assistants and RAGProcess automation and agentsDevOps modernisation

Scoped implementation with metrics defined before starting, in whichever mode the data demands: on-premises, cloud or hybrid.

Deployment modes

The data decides the infrastructure, not the hype.

On-premises

Open-weight models on your own infrastructure: data sovereignty and full control. Ideal for sensitive information.

Cloud

Managed provider models when elasticity and speed of deployment come first.

Hybrid

Sensitive workloads on-premises, elastic workloads in the cloud. The most common combination in European companies.

What a pilot includes

Defined before it starts.

Scoped reach and usersMetrics and success indicatorsData security and complianceUsage training for the team

Where it gets implemented

Use cases by area.

Leadership

  • AI-powered decision dashboards
  • Scenario and risk analysis
  • Competitive intelligence

Operations

  • Document automation
  • Internal knowledge assistants
  • Process optimisation

Technology

  • AI in the development cycle
  • Code review and documentation
  • On-premises LLM deployment

People

  • Training by profile
  • Reskilling with judgement
  • Adoption and change management

Continue

Keep exploring

Next step

A 30-minute strategic conversation.

Context, priority and next decision. If it makes sense to move forward, we define how. If not, both sides will know soon.