AI Value Office
Give the executive committee an AI portfolio management framework connecting value, risk, effort, dependencies and scaling decisions. For French-speaking Africa, the approach prioritises a pragmatic scope, rapid decisions, controlled costs and immediately usable deliverables.
- AI Value & Adoption
Build the value model, KPIs, ownership and initial dashboard.
Align executive committee decisions
AI initiatives are multiplying without a consolidated view of value, costs, risks and the trade-offs needed to invest, stop or scale for production.
Pain points
AI initiatives are multiplying without a consolidated view of value, costs, risks and the trade-offs needed to invest, stop or scale for production.
Promise
Turn scattered AI initiatives into a governed, measurable portfolio on which the executive committee can make decisions.
Outcome
A consolidated AI portfolio, value KPIs, decision rules, a scaling roadmap and an executive review cadence.
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.
Value Tracking Office
Benefits tracking framework: baseline, adoption, productivity, satisfaction, use cases, ROI and improvement plans.
AI Roadmap V2 & Scale-up Plan
Post-adoption roadmap to extend AI applications, organise subsequent waves and direct workstreams to delivery business units.
AI Portfolio Governance & Scale Review
Governance review cycle for scaling AI use cases: prioritisation, risks, value, dependencies and trade-offs.
Services to go further
Activate complementary services according to priorities, constraints and capabilities already in place.
AI CoE Design
AI centre of excellence design: roles, skills, governance, backlog, standards, support and operating model.
Agentic Workflow Pack
Agentic workflow design package with steps, tools, data, controls, monitoring and acceptance criteria.
AI Use Case Sprint
Sprint to scope, prioritise and prototype AI use cases, assessing value, risks, data and feasibility.
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.
Measurement and optimisation
Measure gaps and track the effect of improvements.
(Step 01)
Define objectives and the baseline
Choose the indicators and establish the initial values needed to measure a change.
Deliverable
Indicator repository and baseline.
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.