AI STRATEGY
You have completed the assessment. You know where your governance stands today, how you compare to your peers, and which of the four strategies — Rent, Rent + Govern, Compose, or Build — is right for your institution.
Now the harder question: are you confident that strategy holds across the multiple futures AI is creating simultaneously?
STRATEGY WITHOUT SCENARIO PLANNING IS A BET ON ONE FUTURE
AI does not create one future. It creates multiple plausible futures — arriving faster, and in less predictable patterns, than institutions are built to manage. The institution that commits capital to a Build strategy today and encounters a regulatory environment that makes sovereign infrastructure unnecessary in three years has wasted the investment. The institution that chooses Rent + Govern and finds its primary provider acquired, restricted, or politically untenable has no fallback.
The AI Sovereignty Assessment tells you where you are and where you need to go. Scenario planning tells you whether the path you have chosen remains sound when the assumptions underlying it change.
OXFORD-TRAINED SCENARIO PLANNING FOR INSTITUTIONAL AI
Institutional AI brings the Oxford Scenario Planning Approach (OSPA) — a rigorous, decision-led methodology developed at the University of Oxford — to institutional AI strategy. OSPA is not forecasting. It is not prediction. It is a structured method for building a small set of plausible future operating contexts so that leadership can stress-test decisions, surface hidden assumptions, and choose strategies that remain resilient across change.
Applied to institutional AI governance, OSPA answers the questions that follow from the assessment:
- What AI future are we implicitly planning for — without realising it?
- What breaks in our chosen strategy if that future does not arrive?
- Where do we need control, resilience, and optionality built into the programme now?
- What should we build, buy, partner on, or exit — under different futures?
OUR AI STRATEGY SERVICES
Executive AI Scenario Sprint (2–4 weeks)
A fast, leadership-ready engagement to create 3–4 credible AI futures and translate them into immediate strategic choices.
Outputs
- Scenario set + narratives (clear, board-usable)
- Implications for strategy, operating model, and governance
- “No-regret moves” and strategic options
AI Strategy Stress Test and Option Design(4–8 weeks)
We pressure-test your current AI roadmap against multiple futures and redesign it for resilience.
Outputs
- Vulnerability map (what fails under which futures)
- Portfolio of options (build/buy/partner/exit)
- Capital and sequencing recommendations
Governance and Control Scenarios (4–8 weeks)
We use scenarios to strengthen accountability, oversight, model risk management, vendor risk, and decision rights.
Outputs
- Governance requirements by scenario
- Decision-rights blueprint and escalation triggers
- Control and transparency measures aligned to institutional standards
Scenario-Based Partner and Vendor Strategy (3–6 weeks)
We help you avoid lock-in and build a partner ecosystem that works across futures.
Outputs
- Vendor concentration and dependency analysis
- Exit/portability requirements and negotiation levers
- Partner strategy aligned to resilience and control
Ongoing Scenario Monitoring and Triggers (Retainer)
Scenarios become an operating tool—not a workshop artifact.
Outputs
- Early-warning indicators and quarterly updates
- Trigger-based decision playbooks
- Leadership briefings as conditions evolve