AI Transformation helps a business redesign work and the surrounding business system when AI will materially change processes, decisions, information or responsibilities.
Placing an AI tool inside an unchanged process can preserve the same delays, unclear ownership and control gaps in a new form. Useful transformation starts with the work that must be performed and the business result the organisation needs.
This route connects process redesign with wider system architecture. It considers how people, decisions, information, technology, controls and feedback must work together if an AI-enabled change is to become part of normal operations.
When this route is useful
- An AI initiative will change how work moves between teams, systems or customers.
- The organisation has selected a tool but has not defined the future process or operating responsibilities.
- Automation opportunities exist, but exceptions, escalation and human authority remain unclear.
- Several connected processes and systems must change together for the expected benefit to be realised.
Services connected through this route
- Process & Workflow Analysis & Redesign
Maps the current flow of work, identifies losses and redesigns tasks, decisions, handoffs, controls and exceptions.
- Business Systems Design & Architecture
Designs how people, processes, decisions, information, technology and governance should operate as an interconnected system.
What this route does not assume
Transformation does not begin or end with deploying software. The proposed operating changes still need implementation, adoption and measurement. Where a particular AI system will carry consequential responsibilities, separate evaluation may also be required.
Where this route fits
The Services catalogue defines the underlying consultancy work across Business Opportunities, Business Efficiency and Business Threats. AI Solutions shows how the same work can be approached when AI forms part of the opportunity or solution. For example, a business seeking greater asset efficiency can examine whether predictive maintenance or another AI-enabled approach improves the operation.