As part of its AI transformation program, our client expressed a crucial need: to define and structure optimal governance for its generative AI program to maximize value creation through generative AI. This need aligns with the desire to connect business teams with technological innovations while addressing the specific requirements of each operational entity. In this context, Sofrecom was engaged to define and implement effective governance around a new "Gen AI" program.
Customer’s need
Faced with the acceleration of AI usage by its various entities, our client recognized that generative AI could transform its operations and create new value opportunities. However, the lack of clear and structured governance hindered team engagement and the effective implementation of projects. To address this challenge, the needs were multiple:
- Optimal Governance: share a common vision with different operational units on priorities and levers to leverage generative AI and define governance that fosters collaboration between operational units and the parent entity to maximize value creation.
- Team acculturation: a need to educate teams on the capabilities, group policies, and uses of generative AI to ensure adoption and engagement.
- Identification of Use Cases: the necessity to prioritize and develop relevant use cases in various operational areas, such as marketing and networks, to maximize the impact of generative AI.
- Sharing best practices: a need to pool knowledge and experiences among different units to foster collective innovation and avoid duplication of efforts and inefficiencies in resource use.
Methodology set up by our experts
To address these challenges, Sofrecom established a two-phase methodology aimed at building solid governance and fostering team engagement.
Phase 1: Framing
The first phase involved a series of interviews with key collaborators, stakeholders, and partners of the client. The objective was to gather their needs and expectations regarding generative AI. This step identified several priority areas to encourage engagement from operational entities. Actions taken during this phase included:
- Analysis of ongoing initiatives to understand existing projects and team expectations.
- Identification of needs and gathering information on challenges faced by operational teams.
- Strategic recommendations and concrete suggestions to improve engagement and collaboration.
Phase 2: Implementation
The second phase focused on implementing the recommendations from the framing phase. Priorities for this phase included:
- Structuring governance: Establishing a governance framework that aligns generative AI with other data and AI themes.
- Enhancing employee experience: Utilizing digital tools and communication platforms to improve employee experience.
- Acculturation and onboarding: Organizing inter-entity events to raise awareness and train teams on the challenges of generative AI.
- Valuing data leaders: Highlighting technical and business experts to promote a data culture within the organization.
Benefits of Sofrecom's support for the customer
Sofrecom's support enabled our client to achieve significant progress in structuring its generative AI program. Among the observed benefits are:
- Maximized Value Creation and shared strategic vision: the establishment of optimized governance allowed for a common vision on priorities and levers to act upon, facilitating collaboration among different units. The client can now make the most of generative AI by aligning the efforts of various units.
- Enhanced team engagement: acculturation and training initiatives fostered better team engagement, making them feel more prepared to integrate AI into their processes.
- Collective innovation: the sharing of best practices among CBUs created a dynamic of collective innovation, strengthening the organization's adaptability to technological changes.
- Identification of relevant use cases: the creation of a framework for sharing and replicating best practices optimized resource use and avoided duplication of efforts, thereby increasing the added value of generative AI projects.
- Improved employee experience: the use of digital tools and communication platforms enhanced the employee experience, fostering a more collaborative and innovative work environment.
In conclusion, Sofrecom's support enabled our customer to tackle the challenges associated with generative AI by establishing solid governance and fostering team engagement. Through a structured methodology and specialized expertise, Sofrecom positions itself as a key partner in the technological transformation of companies.
Summary of Sofrecom's expertise
In the context of this mission, several areas of expertise from Sofrecom were highlighted:
- AI Governance: expertise in defining and implementing governance frameworks tailored to AI challenges.
- Digital transformation: support in improving employee experience through digital tools.
- Education and training: raising awareness among teams about the challenges of generative AI and training on best practices.
- Identification of Use Cases: ability to identify and prioritize relevant use cases to maximize value creation.
- Sharing best practices: Establishing mechanisms for sharing and replicating best practices among operational units.
