AI Value & Adoption
Give your artificial intelligence projects a clear direction, choose useful applications and support adoption through phased investment.
An AI strategy that serves your business
RFC provides artificial intelligence consulting to define a realistic roadmap. We prioritise use cases based on their value, your resources and your teams' capacity to adopt them.

Engagement approaches
Engagement approaches to address your business challenges.

Transformation journey
Offers organised into stages according to your maturity and priorities.

Structured offer
A clear objective, tailored services and defined deliverables.
Automate a business process end to end, with human oversight
Qualify requests, orchestrate the steps, use the right data and keep validation checkpoints: a use case that combines automation, AI agents and governance.
Expertise to put your AI strategy into practice
Identify engagement approaches suited to your maturity to organise AI governance and support your teams as they adopt new ways of working.
Prepare your organisation for sustainable AI adoption
From AI maturity assessment to change management support, define usage rules and the indicators needed to manage your investments.
Choose the right starting point for AI
Start by clarifying your AI strategy or assessing a priority use case, based on your objectives and available skills.
- Explore offerAI Value & Adoption
AI maturity & priority use cases sprint
Assess AI maturity, select the most defensible use cases and build a 90-day roadmap connecting value, data, risks, security and adoption. For French-speaking Africa, the approach prioritises a pragmatic scope, rapid decisions, controlled costs and immediately usable deliverables.
Agentic automation programme at scale
Move from experiments to an industrialised capability: prioritised use cases, governed agents, controlled integrations and a measurable run model.
Move towards AI at your organisation's pace
Build your AI roadmap, experiment within a targeted scope, then expand applications with demonstrated value.

Reliable data and executive management
Give management a reliable, governed and usable data foundation for decisions and AI
Operational governance
Organise responsibilities, rules and decision reviews.
(Step 01)
Inventory usages and decisions
Identify existing practices, the risks to control and the decisions that are hard to make today.
Deliverable
Map of usages and governance needs.

Technologies selected for your AI applications
We select generative AI solutions based on your business requirements, integration with your tools and data protection requirements.

Explore AI projects in context
Discover how RFC approaches AI governance and adoption challenges through the contexts and scopes of the projects presented.
2026 - Services & Technology
Assess Copilot readiness
Meziou Knani & Khelif
Microsoft 365 assessment, maturity analysis and recommendations prepare adoption.
Tracked Indicators
Maturity, risks, prerequisites


Let's discuss your artificial intelligence priorities
Share your initial ideas, maturity and constraints to identify the AI applications to explore first.

Talk to an RFC expert
Share your context, priorities and constraints. Our experts help you structure an IT journey aligned with your transformation goals.
Tell us about your challenges
Share your priorities to prepare for a focused discussion.







