VP & Senior Partner · IBM VP Technology Strategy · TIAA VP Governance · PNC / BNY Mellon GAICD · Australian Institute of Company Directors Board Member · StrandSense AI MBA · University of Pittsburgh VP & Senior Partner · IBM VP Technology Strategy · TIAA VP Governance · PNC / BNY Mellon GAICD · Australian Institute of Company Directors Board Member · StrandSense AI MBA · University of Pittsburgh
How I Work

Most engagements start the same way:
not with a plan, but with a question about what is happening.

Most transformation programmes do not fail because of strategy. They fail in execution, when accountability is unclear, governance slows decisions, and operating models cannot absorb change.

The result is visible: delivery slows, outcomes become unclear, confidence deteriorates, and leadership begins to lose control of what is happening.

When I Am Brought In

I am typically brought in when:

AI investment is increasing. The business impact is difficult to explain clearly.

Transformation programmes continue to move. Decisions are not fully landing. Value remains uneven.

Ownership is distributed across teams. Accountability for outcomes is not always clear.

Governance exists. Confidence in how decisions are made is lower than it should be.

Delivery is active. Progress feels inconsistent and harder to align across the organisation.

What looked coherent at the outset is now harder to explain. Harder to sustain.

These are not advisory situations. They are intervention points where clarity, control, and momentum need to be restored quickly.
What I Fix

The pattern is consistent.
The operating model is usually where it breaks.

Strong AI activity with no clear P&L impact. Establish clear ownership, commercial metrics, and decision pathways so value becomes measurable and attributable.

Governance structures that slow decisions instead of enabling them. Reset decision rights and escalation paths to restore speed without increasing risk.

Transformation programmes that are active but not delivering outcomes. Stabilise execution, realign accountability, and re-anchor delivery to business impact.

Fragmented ownership across business and technology. Clarify accountability and align operating cadence to ensure consistent execution.

Most organisations are not short of effort. They are short of clarity about what that effort is doing.

The Diagnostic:
Most work starts by taking back control.

Where decisions are blocked and effort is being wasted
Where accountability and structure are missing
What needs to change first to restore execution

Usually a two to four week engagement. Enough time to understand where effort is being spent, where structure is missing, and where the organisation is mistaking activity for progress. The output is a clear diagnosis and a focused intervention plan, not a report.

What follows

If there is a fit, the work continues in one of two ways.

Path 01

Retained Engagement

A time-bound senior involvement at decision level. Best suited where the organisation has capable operators but needs sharper judgment, challenge, and clearer control at the top, before gaps become harder to recover.

Usually works best with Boards, CEOs, CIOs, and CDOs managing pressure, drift, or structural gaps.

Path 02

Interim / Embedded

Where execution needs to change, not just be observed. A defined period of embedded control where something significant must be reset, stabilised, or carried through quickly.

Best when leadership bandwidth is stretched and the organisation needs someone stepping directly into the gap and holding the system end to end.

Not every diagnostic leads to further work. The objective is rapid clarity about what is happening, what must change, and whether intervention is required.

For speaking enquiries, see the Speaking page.

Request a Diagnostic Conversation

A focused 30-minute session to determine whether your transformation or AI initiatives are structurally constrained and where control is being lost.

This is intended for CEOs, CIOs, and boards dealing with underperforming transformation, AI investment not delivering outcomes, or visible delivery and governance breakdown.

If a material issue exists, the next step is a targeted intervention, not a general advisory engagement.