Services

From strategy to AI in production

Each service is a layer of the journey. You can travel it end to end or enter wherever you need most: what matters is that technology is chosen by the problem, never the other way around.

Book your AI Business Strategy How we work
01

AI Business Strategy

The first advisory layer for C-level and board profiles: we analyse needs, ideas and ambitions.

  • Diagnosis of business processes and opportunities
  • Prioritisation by impact and feasibility (quick wins)
  • Target KPIs and OKRs to measure the return
Deliverable
Executive document with the processes that are candidates for AI, the target improvement KPIs and the associated OKRs.
Duration
≈ 2 weeks
For
C-level / Board
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02

Custom AI Solutions

Building custom agents to solve the processes identified during the strategy phase.

  • Tailor-made agents for each process
  • Integration with your data and tools (MCP)
  • Iteration with human-in-the-loop all the way to production
Deliverable
Agents in production, integrated with your systems and monitored.
Duration
≈ 12 weeks (average)
For
Business + IT
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03

Enterprise AI Infrastructure

Enterprise AI infrastructure that supports agents, MCP, skills and LLM models — scalable and secure.

  • Horizontal scalability and observability
  • Security and high availability (business continuity)
  • A common foundation for all your agents and models
Deliverable
Scalable platform with security and high availability for critical processes.
Duration
Depends on scope
For
IT / Security
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04

Adoption and Rollout

The governance and transformation layer: roles, champions and training for cultural change.

  • Definition of roles and responsibilities
  • Internal champions programme
  • Training and change management
Deliverable
Governance plan, role map, champions programme and training.
Duration
Ongoing
For
HR / Operations
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05

Infrastructure as a Service

Infrastructure as a service: open source on-prem at the client site or in our cloud, plus private NVIDIA DGX Spark.

  • Open source on-prem for data sovereignty
  • Managed, elastic Pyros cloud
  • NVIDIA DGX Spark for dedicated private AI
Deliverable
Infrastructure operated as a service, in whichever model your case requires.
Duration
Subscription
For
IT / Compliance
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06

AI FinOps Strategy

Resource consumption modelling to optimise investment (CAPEX) against return and keep OPEX under control.

  • CAPEX vs OPEX: when to invest and when to consume
  • Token economics and control of incremental spend
  • Cost dashboard per process
Deliverable
Cost model, budget and policies to control token consumption.
Duration
Ongoing
For
Finance / IT
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Not sure where to start?

Start with the AI Business Strategy. In two weeks you’ll have a clear map of which processes to take to AI and with what return.

Book your AI Business Strategy View use cases