AI Adoption

Support for the operational adoption of AI in day-to-day processes, from generative tools to business assistants

Why choose AI Adoption?

Artificial Intelligence is already available in many business tools, but its actual adoption does not depend solely on activating a licence or choosing a platform.

Many companies are trialling tools such as Microsoft 365 Copilot, Claude, Gemini or open-source models, but are struggling to turn these technologies into tangible benefits for their day-to-day processes.

AI Adoption helps organisations to introduce AI in a structured, operational and measurable way, building on the actual needs of their departments, the tools already in place and the company’s level of digital maturity.

The aim is to support teams and management in using AI to improve day-to-day activities, reduce repetitive tasks, speed up the search for and summarisation of information, increase productivity and establish a model for sustainable adoption over the long term.

A practical roadmap for the adoption of AI

AI Adoption enables organisations to move from individual experimentation to a more structured use of AI in business processes.

Initial assessment
The first step is to understand where AI can generate real value.

These activities enable you to:
  • analyse existing processes, tools and workflows
  • identify departments and activities suitable for the introduction of AI
  • assess the level of digital maturity and in-house expertise
  • to identify concrete, priority and measurable use cases

This helps to avoid generic initiatives and ensures that we start from verifiable operational needs.
Selection of instruments

Not all AI tools are suitable for the same objectives, the same data or the same business contexts.



Recruitment support may cover:

  • Microsoft 365 Copilot
  • Claude, Gemini and other generative tools
  • open-source models
  • AI agents and business assistants
  • tools that can be integrated with internal documents, data and applications


The choice is guided by specific criteria: operational utility, security, integration, ease of use, governance and long-term sustainability.

Team support
The adoption of AI requires support, a structured approach and the gradual development of users’ independence.

Coaching activities enable you to:
  • to help teams use AI in their day-to-day work
  • developing prompts, procedures and best operational practices
  • tailor the tools to the departments’ use cases
  • gather feedback and gradually improve its use
  • to minimise resistance, errors and makeshift solutions

In this way, AI becomes part of the actual work, rather than a separate experiment.

Areas of application

AI Adoption can support various departments within a company, with programmes tailored to staff members’ actual roles.

Individual productivity and collaboration
AI can help users and teams with their day-to-day tasks of writing, summarising, researching and organising information.

It supports:
  • managing emails, documents and meetings
  • summaries of complex texts and materials
  • preparation of drafts, reports and presentations
  • searching for information in documents and knowledge bases
  • improved internal collaboration
Business departments and processes
AI can be applied to specific functions such as sales, marketing, HR, administration, IT, procurement and management.

Scenarios may include:
  • support for business development
  • analysis and summarisation of internal documents
  • Support for HR processes and the IT helpdesk
  • support for procurement and supplier management
  • preparation of management reports and operational summaries
Generative tools and AI models
The process may involve the use of different platforms, depending on the company’s needs.

Solutions may include:
  • Microsoft 365 Copilot
  • Claude
  • Gemini
  • open-source models
  • vertical AI assistants
  • AI agents integrated with business systems

The aim is to select and use the most suitable tools, whilst avoiding haphazard implementations or those that are disconnected from the processes.

Governance and performance measurement

The adoption of AI must be accompanied by rules, criteria for its use and performance indicators.

Activities may include:
  • drawing up operational guidelines
  • identification of usable data and limitations on its use
  • management of security and confidentiality risks
  • quality assurance of outputs
  • collection of user feedback
  • measuring the benefits achieved

This makes it possible to assess the impact of AI not only in terms of initial enthusiasm, but also in terms of its actual impact on processes.

Integration into the corporate digitalisation process

AI Adoption forms part of a broader digital transformation process, which includes:
  • Microsoft 365
  • ERP and CRM systems
  • document management platforms
  • Business Intelligence
  • process automation
  • AI agents
  • data governance
  • user training

      • This enables companies to introduce AI gradually, integrating it with their existing tools and processes.

Value for the company

Implementing an AI Adoption programme enables you to:
  • identify genuinely useful AI use cases
  • choose tools that are consistent with processes and objectives
  • to improve the effectiveness of AI in everyday use
  • to reduce repetitive tasks and the scattering of information
  • support teams and departments in the operational roll-out
  • to improve productivity, quality and response times
  • to reduce risks associated with improper or unregulated use
  • to measure the results achieved over time

Try the solution that interests you

Integrate Artificial Intelligence into your company’s day-to-day processes through a practical, measurable and consistent approach, using real tools, people and objectives.