
## The Problem

The leadership team had approved 15 different AI pilots over 18 months. None had reached production. Each pilot had its own tech stack, its own vendor relationship, and its own definition of success. The CTO described it as "innovation theatre — lots of activity, zero business impact."

The core issue wasn't technical capability. It was the absence of a decision framework for what to build, how to govern it, and when to cut a failing experiment.

## The Approach

We ran a structured 8-week engagement split into three phases:

### Phase 1: Landscape Audit (Week 1-2)
- Mapped all 15 pilots against business capability, cost, technical risk, and strategic alignment
- Interviewed 12 stakeholders across product, engineering, compliance, and executive team
- Identified 3 root causes: no AI operating model, no vendor evaluation criteria, no production readiness standard

### Phase 2: Framework Design (Week 3-5)
- Designed an AI operating model tailored to FinTech regulatory context
- Created a pilot evaluation scorecard (strategic fit + technical feasibility + compliance burden + ROI horizon)
- Defined production readiness gates with clear ownership per stage
- Built an AI decision rights matrix clarifying who decides what (CTO vs Head of Product vs Compliance)

### Phase 3: Prioritisation & Roadmap (Week 6-8)
- Scored all 15 pilots against the new framework
- 6 initiatives passed the threshold; 4 were killed; 5 were deferred with explicit re-evaluation triggers
- Built a phased delivery roadmap with owners, milestones, and go/no-go decision points
- Established a monthly AI governance review cadence

## The Outcome

| Metric | Before | After |
|--------|--------|-------|
| Active AI initiatives | 15 (none in production) | 6 (2 in production within 12 weeks) |
| Decision velocity | Months per pilot decision | Days per initiative review |
| Compliance confidence | Low (no framework) | High (auditable decision log per initiative) |
| Team clarity | Diffuse ownership | Clear owners per initiative |

**Within 12 weeks of engagement end, the first 2 initiatives were in production.** The client reported that the decision rights matrix alone removed 80% of the cross-team friction that had blocked earlier progress.

## What Changed

Before the engagement, AI decisions were made in hallway conversations. After, they were made in a structured governance forum with clear criteria, documented rationale, and explicit owners. The CEO described it as "the difference between hoping AI works and knowing why it will."


How a FinTech aligned AI strategy, governance, and execution in 8 weeks — cutting through pilot paralysis with a clear operating model.

From 15 AI Pilots to 6 Prioritized Initiatives

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