Executive Advisory

From Strategy to
Impact
In the age of AI.

Executive Advisory for the leaders driving deep disruption across complex organisations in the Middle East.

Ugo Mosanya
Ugo Mosanya

Operator, investor, and senior advisor at the intersection of AI, venture, and Middle East strategy. Career spans McKinsey, LG Electronics, and Royal Philips, with seventeen years on the ground in MEA. Computer scientist by training, AI entrepreneur, management consultant, regional senior executive, and AI investor.

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Executive Advisory trajectory: Strategy, Transformation, Adoption, Impact
Challenge

Where deep disruption gets throttled.

Deep disruption is the structural rewiring AI demands of complex organisations — not surface deployment or tactical efficiency, but the reshaping of strategy, operating model, and capability stack around what comes next. The journey from intent to impact gets throttled across three challenging areas: strategy & transformation, business development, and venture building. Strategies crafted with both ambition and realism still get shelved without disciplined transformation and adoption. Building new revenue lines requires its own discipline across business models, partnerships, and channels. New ventures designed inside the gravity of the mothership rarely escape it.

AI compounds the difficulty across all three. The cost is everywhere: initiatives that stall before they compound, budgets that buy activity rather than outcomes, market windows that close while the organisation is still aligning. And in complex, volatile markets where the existing playbook only takes you partway, these challenges are sharpened, not softened.

Approach

The ingredients of every engagement.

Every engagement combines three ingredients: strategic framing, operating execution, and active adoption. They appear sequentially in transformation programmes, in parallel as a toolkit in business development, and iteratively across the build-validate loop of new ventures. The mix differs by practice; the ingredients are the same.

Skip an ingredient and the work does not stick: framing that ignores execution stalls at the plan, building without adoption produces capability that no one uses.

01 · Frame
Strategic framing
Destination-setting, opportunity assessment, and sequencing. Where the work is going, why it matters now, and what it cannot ignore.
02 · Build
Operating execution
Building, redesigning, and running. Operating-model design, capability build-out, programme management, governance, and operational rigour.
03 · Adopt
Active adoption
Landing the work. Change management, market traction, customer activation, partnership build-out, and the operational adoption that turns strategy into impact.
Practices

Practices that demand invention.

Three practices, each chosen by design to go beyond the playbook. Each carries its own challenge, its own demands, and a different mix of the three ingredients behind every engagement.

Strategy and Transformation practice
01

Strategy & Transformation

The hardest part is not the strategy itself. Most strategies get shelved, most transformations stall at adoption.

Vision exercises, AI strategy formulation, competitive assessments, strategic planning and cascading, transformation programme design, operating-model redesign, capability build-out, and the disciplined execution that turns intent into adopted reality.

Business Development practice
02

Business Development

Converting positioning into commercial traction takes a different muscle than internal transformation. Partnerships and channels do not build themselves.

Business modeling, go-to-market design, enterprise and government partnerships, alliance structuring, and the relationship-building that volatile markets reward.

Venture Building practice
03

Venture Building

Most corporate innovation labs default to incremental. Building genuinely new AI-native ventures inside an incumbent requires a different cadence, and a partner who has built ventures before.

New venture incubation, product and technology innovation, R&D-to-commercial bridges, and AI-native business model design. Work for organisations ready to do more than incremental.

Clients

Different organisations, one shared set of challenges.

If the questions below resonate with the ones you are wrestling with, we should talk.

Multinational Corporations

How do we hold the ambition of our strategy through execution, when scale and complexity resist every meaningful change?

How do we move from scattered AI pilots to a coherent enterprise strategy that lands?

Family-owned Conglomerates

How do we modernise the group without losing the founder logic and long-horizon discipline that built it?

How do we apply AI cross-portfolio without losing the long-horizon ethos that built the group?

Governments

How do we design and deliver large-scale public programmes that reach citizens and stick beyond the political cycle?

How do we use AI to improve public-service delivery at scale, with the governance the role demands?

Sovereign-owned Enterprises

How do we balance national mandate with commercial discipline, and outperform private peers in our sector?

How do we align AI investments with national-priority mandates while outperforming private peers commercially?

Academia

How do we redesign programmes and research to stay relevant to an economy reshaping faster than the curriculum cycle?

How do we rebuild curricula and research strategy for an AI-shaped economy?

Research Centers

How do we close the gap between discovery and commercial application before others do?

How do we turn AI capability into national strategic advantage rather than published papers?

Engagement Formats

From pre-defined to fully bespoke.

Engagements range from a half-day briefing to a multi-quarter transformation role. Always anchored at executive level (board, C-suite, steering committee) and designed to cascade down through the operating layers that make AI land.

Executive AI Briefing
Half-day or one-day session for the C-suite or board, customised to your sector and AI maturity.
Half day to one day
AI Strategy Sprint
Formulating or sharpening the AI strategy alongside an internal team, with sequencing and resourcing.
Two to four weeks
Adoption Roadmap
Converting AI strategy into a sequenced deployment plan with named owners, milestones, and success metrics.
Four to eight weeks
Organisation Readiness Assessment
A diagnostic on your organisation's strategy, transformation, and adoption posture, with a key focus on AI.
Quick scan
Transformation Programme Advisor
Multi-quarter engagement as advisor or steering-committee member on a broader AI-driven transformation programme.
Multi-quarter
Board position and Steering Committee Advisor
Ongoing role on the relevant governance body, with regular cadence and on-call availability.
Ongoing
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