When AI commoditises deliverables, where does value move?
Standard outputs are becoming instant. Advantage is rebuilt around judgement, context, trust and proprietary organisational data.
Read the perspective →Insights
Understand what is changing. Decide what matters.
Executive perspectives on strategy, governance, agents, skills and emerging markets.
All perspectives
7 perspectives connecting strategy, transformation and execution.
AI agents: design delegation before autonomy
An agent acts inside real systems. Identity, rights, supervision and rollback must be decided before it can commit the organisation.
Read the perspective →Escape the trap of AI pilots without impact
A demonstration can work without creating value. Scaling requires a business KPI, a redesigned workflow and managed adoption.
Read the perspective →Divide work between people and agents without blurring accountability
The augmented organisation needs more than a copilot. It requires an explicit allocation of tasks, hand-offs and decisions.
Read the perspective →AI sovereignty: build real room to manoeuvre
Data, infrastructure, languages, skills and supplier dependency: six practical choices for leaders in Morocco and Africa.
Read the perspective →Manage AI use cases as a portfolio
The executive team needs more than a list of ideas: it needs a portfolio that makes value, risk, capacity and timing comparable.
Read the perspective →Does your organisation have the foundations for agentic AI?
Before deploying agents, assess seven dimensions: strategy, process, data, architecture, governance, talent and adoption.
Read the perspective →The next useful decision
Does your organisation have an AI strategy — or simply a collection of initiatives?
In 30 minutes, identify your maturity level, your main opportunities and the next useful decision.