Strategic Foresight • Horizon 2–15 years

The Foresight Engine

Proprietary trend intelligence, scenario planning, and customer impact analysis for the bank's innovation, strategy, and product teams. Built on daily signal scanning across 12 strategic lenses. Grounded in five customer archetypes. Designed to surface the strategic questions the organisation needs to ask now.

5
Active Trends
2
Scenario Seeds
5
Customer Archetypes
12
Strategic Lenses
Read the Methodology → Open Registry (xlsx)
Layer 1

Signal Scanner

Horizon 1 — Now to 2 years
Daily intelligence across 12 strategic lenses. Signals typed via CIPHER, scored for intensity, tracked for momentum. The raw material that feeds everything above.
17 daily briefings produced
Layer 2

Trend Registry

Horizon 2 — 2 to 5 years
Persistent patterns graduated from signals. Each trend scored on Velocity, Impact, and Maturity (VIM) with calibrated anchor data. CLA depth analysis for high-impact trends.
9 active trends tracked
Layer 3

Scenario Canvas

Horizon 3 — 5 to 15 years
Named plausible futures with wild card scenarios, stress-tested via wind tunnel protocol. Each scenario includes persona impact narratives for all five customer archetypes.
2 scenario seeds (Q2 workshop)
Customer Impact Layer — Five banking archetypes running vertically through all three layers
👤

Mass Retail

“Sarah”
Digital-first individual consumer. Current account, savings, mortgage. Convenience-driven, price-sensitive, expects platform-level experiences.
High exposure
🏢

SME / Business

“James”
Small-to-medium enterprise owner. Time-poor, relationship-dependent for complex needs, self-serve for routine. Underserved by most banks.
Moderate–High
🏢

Corporate

“Priya”
CFO or treasury function. Complex needs: syndicated lending, derivatives, cash management. Multi-bank, regulated, risk-conscious.
Moderate
💰

Wealth

“David”
High-net-worth or affluent. Investment portfolio, tax planning, estate management. Relationship-intensive, advice-dependent.
Moderate
👥

Digitally Excluded

“Margaret”
Unable or unwilling to engage digitally. Elderly, low-income, rural. Reliant on branches and cash. Often invisible in innovation discussions.
Extreme (inverted)
The Invisible Bank
2030–2035 • Payments & Distribution
Financial services are delivered entirely through non-bank platforms. AI agents handle financial decisions. The bank becomes infrastructure — essential but invisible to the end customer.
▲ Plausibility: Rising
Sarah: delighted James: relieved Priya: cautious David: anxious Margaret: locked out
Fortress Finance
2030–2035 • Trust & Regulation
Post-crisis regulation creates a two-tier market. Licensed banks become the only trusted custodians. Compliance becomes the moat, not innovation. Sovereignty trumps efficiency.
▲ Plausibility: Rising
Sarah: safe but frustrated James: constrained Priya: secure David: reassured Margaret: included
+

Generate new scenarios
Pick two trend drivers and generate a 2×2 matrix with wild card scenario, persona impacts, and wind tunnel analysis.

Plausibility monitor
Active scenarios reviewed monthly. Leading indicators scored and plausibility recalibrated.

Q2 2026 • Forthcoming

The first quarterly provocation will be published in April 2026

A one-page piece designed to make senior leaders uncomfortable. Drawn from converging trends, scenario plausibility shifts, and the archetype most at risk. The question the organisation needs to hear — backed by evidence from the Foresight Engine.

Generate Scenario Set

Select two trend drivers from the registry to form the axes of a 2×2 scenario matrix. The generator will produce four named scenarios plus a wild card, with persona impacts and wind tunnel analysis.

1 2 3
Select exactly two trend drivers
Autonomous AI Agents in Financial Services VIM 5/5/5
Stablecoin Payment Rails VIM 4/4/4
Post-Quantum Cryptographic Migration VIM 3/5/3
Embedded Finance 2.0 VIM 4/4/6
Climate Risk Repricing VIM 3/5/5
0 of 2 selected

Proposed 2×2 Matrix

Axis 1 Axis 2
Both High
Scenario A
Axis 1 High / Axis 2 Low
Scenario B
Axis 1 Low / Axis 2 High
Scenario C
Both Low
Scenario D
+ Wild Card Scenario — breaks the matrix

Plausibility Monitor

Monthly review of all active scenarios. Leading indicators are scored and plausibility recalibrated. Run on the first Monday of each month.

Active Scenarios

The Invisible Bank

Payments & Distribution • 2030–2035

Financial services delivered through non-bank platforms. AI agents handle decisions. The bank becomes invisible infrastructure.

▲ Rising

Fortress Finance

Trust & Regulation • 2030–2035

Post-crisis regulation creates a two-tier market. Licensed banks become the only trusted custodians.

▲ Rising
Indicator Scoring Framework

Fired

The indicator has clearly materialised. Evidence confirmed.

+2 points

Warming

Partial or directional evidence. Moving towards materialisation.

+1 point

Cold

No meaningful activity detected on this indicator.

0 points

Counter

Evidence suggests the opposite. Weakens scenario plausibility.

−1 point
Plausibility Scale
6+ pts = High — multiple indicators converging
3–5 pts = Moderate — some movement, worth attention
0–2 pts = Low — plausible but not gaining traction
< 0 pts = Declining — consider retiring or revising

To run the plausibility monitor, paste the command below into Cowork.

Run the Scenario Plausibility Monitor for this month. Review all active scenarios in foresight-trend-registry.xlsx, check leading indicators against the last 30 days of daily briefings, recalculate plausibility scores, and generate the monitor report.