AI Governance & Value Realization
Establishes the rules, responsibilities and management mechanisms needed to govern AI and demonstrate the value achieved.
- RFC BRANCH
- AI Value & Adoption
Govern applications and their value
AI initiatives without oversight or shared rules. Connect rules, decisions and value measurement.
Starting point
AI initiatives without oversight or shared rules.
Promise
Connect rules, decisions and value measurement.
Outcome
A governed AI portfolio and explicit responsibilities.
Agentic automation programme at scale
A HERO offer to select use cases, set up the architecture and governance, deploy the first agents and then organise the run model.
The necessary foundations
Services to connect rules, decisions and value measurement.
AI Council Design & Operating Model
AI Council design: sponsor, success owner, IT, HR, communications, champions, recurring activities, decisions and backlog.
AI Governance Starter
AI governance package: principles, roles, usage rules, use case validation, security, compliance and control.
Responsible AI & Compliance Readiness
AI risk assessment: GDPR, EU AI Act, data protection, labels, agent security and usage rules.
Accelerators suited to your maturity
Additional capabilities to draw on according to your priorities and maturity.
- See details...AI governance and value
Value Tracking Office
Benefits tracking framework: baseline, adoption, productivity, satisfaction, use cases, ROI and improvement plans.
Talk to an RFC expert
Describe your priorities, constraints and projects to prepare a discussion with the relevant teams.
Technology ecosystem
Tools to support AI applications, governance and adoption according to the selected needs.
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.
Explore the domain's other capabilities
Find complementary offers and areas of expertise to extend your approach according to your organisation's needs.
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 governance – getting started
Establish an initial AI governance operating model with an owner, a lightweight AI Council, a use and risk register, rules, controls and reviews. For French-speaking Africa, the approach prioritises a pragmatic scope, rapid decisions, controlled costs and immediately usable deliverables.
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.
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.