Digital & AI Strategy
GenAI, Agentic AI and AI value creation for CEOs, boards and private equity. Use-case portfolio, target operating model, responsible governance, and M&A tech due diligence — with a written exit criterion, not a dependency.
What you get
- Digital and AI strategy aligned to the value agenda of the CEO, board, or investor.
- GenAI and Agentic AI use-case portfolio with feasibility, risk, and ROI scoring.
- Target operating model for data, ML, product, and GenAI platform delivery.
- AI delivery roadmap with change management and upskilling plan, sequenced by value and by delivery readiness.
- Commercial and tech assessment for M&A: AI-enabled value creation, disruption risk, synergy potential.
- Responsible AI governance — risk controls, model oversight, EU AI Act alignment.
How we work
- Align leadership on outcomes, value levers, scope, and risk appetite.
- Assess data, platform, talent, and delivery readiness against the AI ambition.
- Prioritise GenAI and Agentic AI use cases by value, feasibility and delivery readiness.
- Design operating model, governance, and delivery rhythm; mentor the client team along the way.
- Support go-to-market, board discussions, and investor narrative around AI-enabled value.
Sectors
Delivered across TMT, industrials, consumer, and financial services — both corporate transformations and private-equity portfolio value creation.
Ideal for
- CEOs and boards turning AI ambition into measurable outcomes.
- Private equity and investors pressure-testing AI-driven value creation in the portfolio or during due diligence.
- CIOs, CDOs, and digital leaders scaling GenAI and Agentic AI beyond pilots.
- Public sector leaders seeking accountable, auditable AI delivery.
Typical engagement shape
- Duration
- 12–20 weeks for a full strategy + operating-model mandate; 4–6 weeks for M&A tech due diligence
- Team
- 1 principal + 1 senior specialist, scaled with named associates for programmes beyond 16 weeks
- Cadence
- Weekly exec + board-ready review at week 6 and at exit
- Starts with
- A 2-week readiness diagnostic — data, platform, talent, governance — before the big commitment
- Exit
- Prioritised use-case portfolio live or on a dated delivery plan, owned by a named client lead
Related reading
- From GenAI pilots to production: AI value creation for CEOs, boards and private equity — our point of view on where the real value lever sits, and how to avoid the common GenAI traps.
- The Big Consulting AI frameworks, compared (2026) — a sourced benchmark of BCG, McKinsey, Deloitte, EY, PwC, KPMG, Accenture, Bain, Capgemini and IBM.