Enterprise and commercial

AI strategy, transformation and operating models

This family covers the work of redesigning how an organisation runs once AI is part of it: who decides, who does what, and where people and automation hand over. AI companies need it to turn capability into outcomes customers can see.

Buying or building AI is now the easy part. Changing how work gets done is slower, and adoption does not automatically make a business more productive. Companies want people who can tie change to measurable results. The tricky part is that titles vary and the skills are spread across strategy, operations and technology. Strong candidates have seen change land inside real teams, and can say honestly where it did not help.

Hiring now 3Emerging 1

Roles in this family

4 roles

Hiring nowAI Transformation LeadAn AI Transformation Lead coordinates AI-enabled change across the business and holds it to measurable outcomes. They turn scattered pilots into a…Hiring nowAI Operating Model ConsultantAn AI Operating Model Consultant redesigns how work, roles and decisions fit around AI capabilities. They help a company turn AI ambition into clear…EmergingAI Workflow Redesign SpecialistAn AI Workflow Redesign Specialist rebuilds how work gets done so people and AI each do what they are good at. It matters because tools bolted onto…Hiring nowChief AI OfficerA Chief AI Officer sets the company's AI direction and owns the portfolio of AI bets. They decide where AI is worth the investment and who answers…

Where the people come from

Strategy, operations, organisational transformation or technology leadership

Not to be confused with. AI adoption is not automatically a net productivity gain.

Core skills

  • AI risk management
  • Workflow and process design
  • Change management and training
  • Commercial and financial analysis

Where it is used

  • Consulting and business services
  • Government and public administration
  • Human resources and recruiting

Routes in and out

People move on to

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