AI SCENARIO PLANNING
Stage 2 of the Institutional AI engagement model. The Oxford-trained methodology that stress-tests strategic direction against multiple plausible futures.
You have completed the AI Control Assessment. You know where governance stands today, how the institution compares to peers, and which of the four strategies — Rent, Rent + Govern, Compose, or Build — applies to the institution.
Now the harder question: is the chosen strategy resilient 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.
Consider two cases:
The Build commitment that becomes unnecessary. An institution commits significant capital to fully-owned AI infrastructure based on current regulatory expectations. Three years later, regulatory developments make sovereign infrastructure unnecessary for that institution's profile. Capital deployed; competitive position compromised.
The Rent + Govern strategy that loses its provider. An institution builds AI Control around enhanced contractual terms with its primary AI provider. Two years later, the provider is acquired, restricted by export controls, or becomes politically untenable. The institution has no fallback.
Both institutions made defensible strategic decisions based on conditions at the time. Both decisions broke under conditions that scenario planning would have surfaced — and that resilient strategies could have anticipated.
The AI Control 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.
THE OXFORD SCENARIO PLANNING APPROACH.
A rigorous, decision-led methodology developed at the University of Oxford and applied to institutional AI strategy.
The Oxford Scenario Planning Approach (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 four questions:
1. What AI future are we implicitly planning for — without realizing it?
2. What breaks in our chosen strategy if that future does not arrive?
3. Where do we need control, resilience, and optionality built into the programme now?
4. What should we build, buy, partner on, or exit — under different futures?
These are the questions Stage 1 Assessment produces direction on. Stage 2 Scenario Planning produces resilience around.
HOW SCENARIO PLANNING WORKS.
Five structured steps from decision framing to actionable triggers.
STEP 1 — FRAME THE DECISION.Identify what leadership must decide. Strategic decisions worth scenario planning typically involve significant capital commitment, multi-year horizons, or institutional positioning that is difficult to reverse.
STEP 2 — IDENTIFY CRITICAL UNCERTAINTIES.Surface the forces shaping AI outcomes that the institution cannot control: regulatory direction, technology evolution, geopolitical developments, market structure, vendor consolidation, and others specific to the institution's context.
STEP 3 — BUILD SCENARIOS.Construct plausible operating contexts (typically 3–4) that combine critical uncertainties into coherent futures. Scenarios are not predictions of which future will arrive — they are stress-test environments for strategic decisions.
STEP 4 — TEST STRATEGY.Evaluate the institution's current strategic direction against each scenario. Identify which strategic elements hold across all scenarios (resilient), which break under specific scenarios (vulnerable), and which require redesign (fragile).
STEP 5 — TRANSLATE INTO ACTION.Produce concrete outputs: no-regret moves (actions that make sense in every scenario), strategic options (decisions that depend on which scenario emerges), trigger indicators (early signals that one scenario is materializing), and decision rights (who acts when triggers fire).
OUR AI-FOCUSED SCENARIO PLANNING 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
WHAT THE INSTITUTION RECEIVES.
Stage 2 outputs designed for institutional decision-making — structured, board-quality, and actionable.
A SCENARIO SET. Three to four plausible futures, constructed as coherent operating contexts. Each scenario describes regulatory developments, technological evolution, market structure, and competitive dynamics over the relevant time horizon. Scenarios are written for board-level audiences — clear, narrative-driven, and grounded in observable forces.
A VULNERABILITY MAP. The institution's current AI strategic direction tested against each scenario. Strategic elements that hold across all scenarios (resilient), elements that break under specific scenarios (vulnerable), and elements that require redesign (fragile).
A PORTFOLIO OF OPTIONS. Concrete strategic alternatives across build, buy, partner, and exit decisions — each calibrated to which scenarios make it the right choice.
NO-REGRET MOVES. Actions that make sense regardless of which scenario emerges. These are the decisions the institution can act on now without resolving scenario uncertainty.
DECISION TRIGGERS. Early-warning indicators tied to specific scenarios, with associated decision playbooks. Establishes who acts, when, and how — before the institution is forced into reactive responses.
A BOARD-QUALITY DELIVERABLE. All outputs structured as a single board-ready document supporting fiduciary oversight, regulatory examination, and ongoing executive decision-making.