AI-ready Data Foundation
Structure the data, content and technology foundations needed to deploy reliable, secure and scalable Data, AI and RAG applications. For French-speaking Africa, the approach prioritises pragmatic implementation, controlled costs, local delivery and quickly observable results.
- Data
Identify priority Data & AI applications and their foundation requirements.
Prepare data for AI
Data and content are scattered, weakly governed or difficult to use, limiting deployment of reliable, secure AI use cases.
Pain points
Data and content are scattered, weakly governed or difficult to use, limiting deployment of reliable, secure AI use cases.
Promise
Prepare data, content and architecture for Data, AI and RAG applications while controlling security, governance and production scaling conditions.
Outcome
A target Data & AI architecture, a defined Knowledge & RAG foundation, scoped production scaling priorities and a progressive roadmap.
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.
- See details...AI-ready data platform
Data analysis and AI
Advanced analytics and AI use case service: exploration, models, experimentation, scoring, production scaling and presentation to business stakeholders.
Services to go further
Activate complementary services according to priorities, constraints and capabilities already in place.
AI Use Case Sprint
Sprint to scope, prioritise and prototype AI use cases, assessing value, risks, data and feasibility.
AI-Ready Landing Zone
Governed technical foundation for hosting AI applications: security, data, network, monitoring, costs, access and compliance.
DevOps CI/CD (Continuous Integration / Continuous Delivery)
Implementation of build, test, deployment and release management pipelines to accelerate delivery and improve reliability.
Talk to an RFC expert
Describe your priorities, constraints and projects to prepare a discussion with the relevant teams.
Technology stack
Data, automation and AI platforms used according to applications and integration needs.
Data and steering
Connect reliable data, governed models and business decisions.
(Step 01)
Define data usages
Specify the decisions to inform, the indicators and the users of the scope.
Deliverable
Indicator dictionary and priority usages.
Explore the domain's other capabilities
Find complementary offers and areas of expertise to extend your approach according to your organisation's needs.
Data Foundations & Governance Pack
Structure and improve the reliability of critical business data to support sound decisions, improve reporting quality and prepare future Data & AI applications. For French-speaking Africa, the approach prioritises pragmatic implementation, controlled costs, local delivery and quickly observable results.
Power BI decision-support cockpit
Turn scattered data and reporting into a reliable decision-support cockpit enabling leaders to manage the business using shared, consolidated and actionable indicators. For French-speaking Africa, the approach prioritises pragmatic implementation, controlled costs, local delivery and quickly observable results.
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.