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Strategy is clear.
Alignment wavers.
Execution breaks.
I turn strategy into something your organisation can actually run.
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In complex organisations, the problem is rarely the strategy.

It's what happens after.

Where leaders call me

What I unlock

The board agrees on ambition but not the path

I narrow the work to the few moves that will actually matter

Strategy exists but execution stalls

I turn competing priorities into a sequence the business can actually run

There is a roadmap, but no real prioritisation

I surface the structural blockers, political dynamics, and missing shared understanding that keep execution stuck

A priority use case is stuck across business, technology, data, and risk

I work through the trade-offs business, technology, data, and risk cannot resolve alone

The value is clear, but it's not being realised

I keep the work tied to the value the business expects to realise

How value actually lands

Execution does not break in one place. It breaks across a system.

Interdependent system
VALUE STRATEGY TECH DATA / AI CONTROLS WORKFLOWS ADOPTION

Sequencing exists.

Value only shows up when the system moves together.

Case studies

I work across the full arc of enterprise change. Here are six proof points.

Decide → Create value → Set direction → Execute at scale → Modernise channels → Optimise operations

Six interventions across the same system.

22 → 5
From boardroom gridlock to five enterprise moves
€100B+ bank with 22 live initiatives but no shared view of strategic view of what mattered most.
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Decide
+18%
Value realised uplift through pricing reset and stronger deal economics
Global Insurance with strong client value, but inconsistent pricing strategies and material deal leakage.
View case →
Create value
$1bn
Distribution value pool reset for mobile-led growth
$1B+ distribution opportunity, but too many plausible bets and no clear path.
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Set direction
€0.5B+
Delivered by building a bank-wide transformation engine
Large bank under cost pressure, with activity everywhere but no engine turning activity to impact.
View case →
Execute at scale
93%
Digital adoption through integrated channels redesign
15M-customer bank with fragmented channels, rising digital activity, and weak conversion.
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Modernise channels
30%
Increase in Agent capacity across a 1000+ FTE contact-centre
1,000+ FTE contact centre under pressure from rising demand, lagging performance, and falling customer satisfaction.
View case →
Optimise ops

How I Work

Clarity under pressure

I cut through noise and get to the issue that actually matters.

Comfort with senior tension

I work directly with leadership, including when priorities conflict and trade-offs are hard.

Value discipline

I keep the work tied to outcomes and stop it drifting into activity.

Ideas

How I think about AI, execution, and enterprise change.

View all on Substack →
Staying Average Is Getting Expensive for Firms — What It Takes to Pull Ahead
Firms don’t fall behind. They drift there—one reasonable decision at a time.
The AI Decision Your Board Got Half Right
A board and CEO briefing on AI, risk, and sustainable value creation in financial services.
The enterprise architecture fork: incremental buys time, transformational buys capacity
The choice between incremental and transformational AI architecture is a question of moat versus money — and whether your organisation can execute either.

About

I work at the point where strategy meets execution and things start to break.

Over 18 years across banking and consulting, I’ve been inside the work — building client relationships, driving revenue, and leading complex transformations across business, technology, and data.

I’ve seen how quickly strong ambition turns into stalled delivery when the organisation cannot move as one.

That is where I work — inside the problem, with the teams responsible for making it land.

Experience includes McKinsey & Company and Standard Chartered Bank

LinkedIn →

Portrait

Working together

If you're dealing with one of these, it's worth a conversation:

  • Strategy is clear, but execution is stalled
  • Priorities exist, but hard trade-offs are still being avoided
  • AI ambition is high, but no one owns what it takes to make it land
  • Value is expected, but it isn't showing up in results
Let's talk
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