Artificial intelligence has already made its way into businesses. But without a strategy, it remains fragmented, fails to scale and does not generate value. IFAB has developed a structured approach to bringing artificial intelligence into businesses in a controlled, measurable and sustainable way. The result is not a series of isolated solutions, but an organisational system that the company can manage and develop independently, with widespread in-house expertise and a governance framework that ensures consistency, control and continuity over time.
AI adoption in organizations
THE CONTEXT
Why companies struggle to adopt AI today
Many organizations explore AI without a structured approach: tools are adopted on an ad-hoc basis, with no governance and no measurement of results. The risks of this approach are:
- skills being acquired by only a few people, while the rest of the company, not being involved, may actually develop resistance to innovation;
- partial solutions that affect only a single sector;
- undertaking projects that never make it to production because they are not given the right priority and support.
WHAT IFAB CAN DO
IFAB helps companies become self-sufficient in managing their own AI projects
To help companies manage the integration of AI-based solutions into their production processes, IFAB provides a comprehensive operational framework, which takes the form of a structured programme lasting approximately six months.
The services IFAB offers include:
- Strategic consulting
- Operational training
- Methodological transfer
- Governance support
FINAL OUTPUT
What your company gains
By the end of the process, your organisation will have a repeatable methodology, clearly defined roles, an internal AI policy, and the necessary expertise to launch and manage any new AI initiative without relying on external support.
Structured and operational AI governance
Defined corporate AI policy
AI model (LLM) selected and approved
Pipeline of prioritised projects
An internal network of experts (AI Specialists)
Tools and methodology for independent scaling
THE FRAMEWORK
The IFAB methodology: a four-stage framework
Once fully implemented, the company manages AI through an iterative cycle structured in four stages, each supported by operational guidelines and ready-to-use templates. Stage 0 involves defining the AI Policy and internal governance: the rules governing how AI is used within the company, who makes the decisions, what data may be used, and how risks are managed.
THE ESSENTIAL ELEMENTS
A structured governance framework: roles
By identifying a number of key roles within the company, the service introduces a clear organisational model that defines specific roles at every level of the organisation, with clear responsibilities and workloads that are sustainable in the long term.
The components of the model can be described as follows:
A comprehensive programme: training, governance and use cases
The service is structured as a programme that combines training, operational and strategic elements:
- Initial analysis of skills and processes
- Involvement of senior management
- Definition of AI governance and policy
- Establishment of an AI Board and AI Specialists
- Identification of initial use cases
- Promotion of an AI culture throughout the organization
THE PROCESS
The four-step implementation process
The methodology is transferred through four modular stages over an overall period of approximately six months. Each stage builds on the foundations established in the previous one and provides the organisation with practical tools that can be used immediately.
The first stage focuses on analysing the organisation’s current AS-IS position. Mapping existing capabilities, high-impact processes, technologies currently in use and the gaps to be addressed provides the reference framework for developing a tailored pathway aligned with the organisation’s strategic objectives and operational context.
Planned activities:
- Analysis of the organisational structure and business needs
The second stage establishes the foundations for an organisational culture capable of managing AI adoption as a strategic transformation rather than simply a technological choice. Senior management engagement, the introduction of targeted training pathways to address capability gaps across individuals and teams, the establishment of the AI Board and the definition of the governance framework create the conditions required for AI adoption to become a deliberate, well-managed and sustainable competitive advantage.
Planned activities:
- Management involvement
- Training on AI tools
- AI Board Training
- AI Specialist training
- Establishment of the governance framework
With the governance framework in place and the new organisational roles operational, this stage formally initiates the AI adoption process. The planned activities enable the first projects to be selected, added to the roadmap and formally launched through the inaugural AI Board meeting, during which the opportunities identified in the scouting phase are assessed and translated into concrete initiatives.
Planned activities:
- Scouting and prioritisation workshop
- Launch of the AI Board meeting
The final stage focuses on embedding an AI culture throughout the organisation. For adoption to be effective and firmly established, the vision, decision-making processes and culture must not remain confined to a small group, but become shared assets at every level. To support this objective, communication and awareness initiatives are introduced, together with the definition of the organisation’s AI strategy to guide its implementation.
Planned activities:
- Engagement of the entire organisation
- Definition of the AI Strategy
Beyond the initial phase: consulting and ongoing support
IFAB can continue to assist your company even after the initial phase, providing support for:
- the operation of the AI Board
- the expansion of the AI program
- the technical design of solutions
- quality control and monitoring
through a modular service tailored to your organization’s specific needs.
Start your AI adoption journey
The pathway starts with an introductory meeting to analyse the company context and define priorities. Request a discussion with the IFAB team and discover how to structure AI adoption within your organisation.
FAQ
The program typically lasts about 6 months, with a final review to assess results and future developments.
Yes, the IFAB methodology is specifically designed to be applicable in small and medium-sized enterprises as well.
No, the program starts with an analysis of existing skills and progressively builds internal capabilities.
The service covers both traditional machine learning and generative AI (LLM), depending on the use cases.