AI Adoption Programme

Fliweel’s AI Adoption Programme combines practical training with ongoing guidance to help employees build confidence and apply AI in their day-to-day roles.

• Initial discovery and capability assessment: We work with the business to understand current AI usage, employees’ confidence, existing tools and the tasks that consume the most time. This helps tailor the programme to the organisation’s priorities and different starting points.

• Hands-on workshops: Guided sessions use realistic business tasks, such as preparing reports, analysing information, drafting communications and summarising meetings. Participants practise using AI, learn how to write effective prompts and check the quality of its outputs.

• Role-specific application: We help teams identify and develop use cases relevant to their responsibilities, giving them practical prompts and repeatable approaches they can use immediately.

• Practice between sessions: Employees apply what they have learnt to their own work, then bring questions, examples and challenges to follow-up discussions.

• Monthly office hours: Regular drop-in sessions provide an opportunity to troubleshoot problems, improve approaches and explore new ideas with expert support.

• Ongoing learning and updates: Shared guidance, examples and updates help teams keep pace with changing AI tools and capabilities, with an emphasis on what is useful for their business.

• Progress reviews and next steps: We review adoption, capture practical benefits such as time saved and improved output quality, and identify opportunities for further training, automation or implementation.

• AI Adoption Portal: One workspace to assess AI confidence and usage, track licence utilisation, access practical learning resources and support internal champions. Teams can submit and prioritise ideas, manage governance and track progress from initial concept to deployed solution, supported by Fliweel’s technical team.

Responsible use runs throughout the programme, including handling sensitive information, checking accuracy and knowing when human review is needed.