Copilot Studio & GitHub Copilot activation
Enable makers or developers to produce an initial useful, governed accelerator through two independent paths: Copilot Studio or GitHub Copilot. For French-speaking Africa, the approach prioritises a pragmatic scope, rapid decisions, controlled costs and immediately usable deliverables.
- AI Value & Adoption
Choose the appropriate path, qualify its pilot use case and secure prerequisites.
Support creators
Teams want to accelerate with agents or development assistance but lack methods, standards, security and deliverables to move from testing to controlled use.
Pain points
Teams want to accelerate with agents or development assistance but lack methods, standards, security and deliverables to move from testing to controlled use.
Promise
Quickly deliver an initial useful, secure and governed Copilot accelerator, keeping the Copilot Studio maker path distinct from the GitHub Copilot developer path.
Outcome
An activation path selected according to needs, an initial concrete use case delivered, usage and security standards, and a documented decision on production scaling.
Recommended entry service
A short assessment to objectively map the situation, identify the major gaps and prepare a prioritised action plan.
Essential services
These services form the offer's foundation and contribute to the expected deliverables within the agreed scope.
Copilot Studio Agents Track
No-code/low-code learning path to create Copilot Studio agents, publish them in Teams and govern them.
GitHub Copilot Enablement Track
Developer learning path for GitHub Copilot: configuration, code generation, Copilot Chat, best practices, security and CI/CD.
AI Governance Starter
AI governance package: principles, roles, usage rules, use case validation, security, compliance and control.
Services to go further
Activate complementary services according to priorities, constraints and capabilities already in place.
AI Council Design & Operating Model
AI Council design: sponsor, success owner, IT, HR, communications, champions, recurring activities, decisions and backlog.
Responsible AI & Compliance Readiness
AI risk assessment: GDPR, EU AI Act, data protection, labels, agent security and usage rules.
Talk to an RFC expert
Describe your priorities, constraints and projects to prepare a discussion with the relevant teams.
Technology stack
Tools to support AI applications, governance and adoption according to the selected needs.
Adoption and training
Train teams and support usage over time.
(Step 01)
Identify usages and audiences
Select the work situations and profiles for which the support must produce an observable change.
Deliverable
Adoption plan by audience and usage.
Explore the domain's other capabilities
Find complementary offers and areas of expertise to extend your approach according to your organisation's needs.
- See details...AI 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.
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.