Global Enterprise: AI Adoption, Agent Piloting and Internal Capability
Approach: Delivered a three-part AI adoption programme combining a live operational pilot, skills development and internal capability-building. The first module focuses on co-building and testing a CoPilot-based customer information agent, including workflow mapping, data structure, prompting, user testing and iteration. The second provides practical Copilot skills sessions covering email, meetings and data analysis. The third develops an internal group of AI Champions using hands-on workshops and one-to-one support to help participants design and test simple role-specific agents using a structured Sharp Insights AI Agent Canvas.
Current work and deliverables
Designing and piloting a customer information agent across two business functions
Standardising customer information and documentation so it can be reliably used by AI tools
Mapping workflows, data requirements and success measures before building the agent
Stress-testing and user-testing the pilot for performance, explainability, safety and operational reliability
Creating reusable data and architecture principles to support future migration away from legacy shared drives
Delivering practical Copilot training focused on email, meetings and safe data analysis
Building internal AI capability through a dedicated group of AI Champions
Supporting employees to design and test simple role-specific agents and automations
Establishing the foundations of an internal agent library, ownership model and business-case process
Creating a repeatable approach for identifying, testing and scaling future AI use cases across the organisation
