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Process assessment and AI integration

Artificial intelligence, governance and training

Introducing artificial intelligence starts by identifying activities that may benefit from it and defining the intended outcomes. We assess feasibility, integration with existing systems, and the technical and organisational conditions needed to produce verifiable results.

Before selecting models, services or platforms, organisations need to understand the process involved, data quality and availability, operational constraints and risks. A solution is useful when it improves an activity and its results can be reviewed by those responsible for it.

When to involve us

  • An organisation wants to identify administrative or business activities where AI may deliver useful outcomes.
  • Analysis, search or automation capabilities need to be integrated with existing documents, applications and databases.
  • A project needs clear rules for access, data protection, output checks and operational responsibilities.
  • Managers and staff need the knowledge to evaluate AI tools and use them appropriately in their work.

What we can contribute

  • Analyse processes, identify requirements and establish indicators to assess the results of an intervention.
  • Evaluate technical alternatives and design integration, including LLMs, RAG and agentic systems where appropriate.
  • Define rules for data access, operational safeguards, human oversight and verification of results.
  • Provide training and operational support, including role-specific AI literacy.

What the engagement delivers

Engagements may include feasibility studies, risk assessments, functional requirements, integration architectures, prototypes, validation criteria and operating procedures. Deliverables are agreed in relation to the process and intended results.

How we collaborate

Our consulting combines experience in software, infrastructure and AI with organisational analysis. Technology selection follows the definition of objectives, requirements, data and operating conditions, including the skills needed to use and review the resulting system.

Next steps

We start with the actual environment, objectives and constraints. The initial discussion helps establish whether and where specialist input adds value.

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