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AI opportunity & value assessment
Identify where AI can create meaningful customer, commercial and operational value. Focus the portfolio on problems worth solving and opportunities worth proving.
AI in marketing and sales is not a technology project in isolation. It changes opportunities, operating models, workflows, decisions, roles and the capabilities needed to make value last.
I connect the work across business, data, technology and organisation — leading where I add the most value and bringing in specialist partners where deeper expertise is needed.
Not every organisation needs every step at once. Start with the question that matters and expand only when that creates additional value.
Identify where AI can create meaningful customer, commercial and operational value. Focus the portfolio on problems worth solving and opportunities worth proving.
Design how marketing and sales create value when AI becomes part of everyday work: decision rights, processes, governance, roles, measures and ways of working.
Turn the design into something tangible. Build workflows, prototypes, data foundations and the capabilities people need to test and improve new ways of working.
Make the new approach work in practice. Connect implementation with adoption, role change, leadership, communication and the operating rhythm of the organisation.
Keep learning after launch. Measure value, improve quality, manage risk and evolve the portfolio so the organisation becomes increasingly self-sufficient.
Strategy & Value · Customer & Commerce · Data & Analytics · AI & Technology · People & Organisation · Leadership & Delivery
I work across these capabilities because real transformation questions rarely stay within one discipline. The point is not to use every capability. The point is to know which ones matter.
Explore related solutions →We can identify the right next step without making the engagement bigger than the problem.