Executive Coaching and Advisory for Leaders & Organisations navigating complexity and pressure to demonstrate value

The Reality

Data & AI has become one of the most strategically important agendas in the modern enterprise. It has also become one of the hardest to lead.

The expectations are clear enough. Move quickly, prove value, and bring the organisation with them. What is rarely clear is the alignment, the shared understanding of where Data & AI should actually make a difference, or what success looks like when it does. Leaders are managing upwards, sideways, and across, often without any of that in place.

Meanwhile investment continues in platforms, tools, and use cases. But the structures, incentives, and ways of working required to support adoption are not keeping pace.

This is not a technology problem. It is a leadership and organisational challenge.

The Gap

When organisations respond to these challenges, support typically comes from one of three directions.

Consultants define strategy, governance, and operating models. Internal teams attempt to drive progress alongside existing responsibilities. Leaders invest in coaching and development.

All three have value. None is sufficient on its own. And they rarely connect.

Consulting is time-bound and delivered as outputs. The engagement ends, the complexity remains. Internal efforts are constrained by capacity and the weight of existing dynamics. Coaching supports the individual but is rarely grounded in the specific realities of Data and AI leadership.

The result is predictable to anyone who has lived it. A complex, high-pressure agenda, and no sustained support that holds strategy, leadership, and execution together at the same time.

Q22 is built to close that gap.

How We Work

Q22 is built on first-hand experience of leading Data and AI in complex, high-pressure environments. That shapes everything about how we engage.

We work in three overlapping phases. First, understanding what is actually going on: the strategic, organisational, and leadership conditions. Second, designing and kick-starting the right change, working alongside teams to ensure direction translates into action. Third, staying close as things evolve, as real change rarely fits neatly into a project plan.

Some clients come to us focused on leadership challenges. Others on the need for organisational changes. Most oftent working at both levels simultaneously is where the real impact lies.

Our Proprietary Frameworks

The Leadership — SHIFT©

A structured coaching program grounded in Intentional Change Theory and Behavioural Design, built to develop the clarity, influence, and resilience the role demands.

The Organisation — SCALE©

A diagnostic framework and toolkit that identifies and addresses the structural, cultural, and governance barriers that determine whether Data and AI actually delivers.

Why This Matters Now

Significant investment is being made in Data & AI, but consistent, enterprise-wide value remains difficult to achieve. The issue is not access to technology. It is the ability to align leadership, structure decision-making, and operate in a way that allows that investment to deliver.

  • The average tenure of Chief Data Officers remains around 2 - 2.5 years

  • The cost of replacing a senior leader is between 50–200% of their annual salary

  • Data Quality continues to be an issue that costs companies on average $12.9M

  • Almost 75% of companies struggle to achieve and scale value from AI

  • Only 15% of organisations have successfully scaled AI across the enterprise

  • Only 25% of AI initiatives deliver their expected ROI

How We Measure Success

Q22 engagements are designed to improve the conditions that determine whether Data & AI delivers value. We focus on progress at two levels:

  • The Data & AI Leaders - Clearer alignment, stronger decision-making, and the ability to manage expectations and demonstrate value

  • The Broader Organisation - Clarity on where Data & AI creates value, operating models that work in practice, and the capability and confidence to adopt in day-to-day operations

At the start of each engagement we agree on what success looks like for that client, and track progress against it over time.

  • Q22 works with senior leaders and organisations to close the gap between data and AI ambition and what actually changes on the ground. Most programmes fail for human and organisational reasons rather than technical ones: unclear ownership, governance that exists on paper but not in practice, incentives that reward the old way of working. We coach the individual leader through SHIFT© and diagnose the organisation through SCALE©, and in most engagements the two run together.

  • Mainly CDOs, Heads of AI, and equivalent senior leaders in complex organisations, often six to eighteen months into a mandate when the gap between what they said they'd deliver and what's actually moving becomes hard to ignore. We also work with CHROs and L&D functions who are trying to build the capability and behaviour change a data or AI strategy depends on.

  • SHIFT© is a coaching framework for individual leaders, built on Intentional Change Theory and behavioural design. It moves through five stages: Study Yourself, Harness Context, Integrate Intentionally, Focused Action, Thrive Sustainably. SCALE© is the organisational counterpart, a diagnostic that looks at Strategic Alignment, Culture and Capability, Accountability and Governance, Levers and Incentives, and Execution and Impact. Used together, they connect the leader's own development to what's actually happening across the organisation.

  • Both, depending on what's needed. The work starts as coaching for the individual leader, but because the obstacles they're facing are usually organisational, the SCALE© diagnostic often becomes part of the engagement too. We're not brought in to write strategy decks or run delivery. We're brought in because the strategy exists and isn't translating into behaviour.

  • It typically starts with conversation rather than a formal proposal: understanding where the leader and the organisation actually are, not where the org chart says they should be. From there, the shape of the engagement depends on what's surfaced, whether that's primarily individual coaching, an organisational diagnostic, or a combination running in parallel. Engagements are built around the specific gap, not a fixed package.

  • No. Q22 positions globally, with particular depth in the UAE and Abu Dhabi. The thesis holds regardless of geography: technology is rarely the constraint, the people and the organisation around it usually are.

Frequently Asked Questions