Technology & Platforms
Covers the technology through which AI is adopted: which tools and platforms people may use, how AI fits into the existing estate, where it is hosted, how models and prompts are tested, released and controlled, and how the organisation copes with fast change from suppliers. The aim is a small number of well understood routes that make the approved way the easy way.
Approved AI tools and platforms
The organisation keeps a current list of approved AI tools and platforms, each with clear conditions of use, and staff know where to find it.
Reference architecture for AI
Agreed architecture patterns set out how AI components fit into the technology estate, and new uses of AI follow them or record why not.
Hosting and data location
Requirements for where AI is hosted and where its data is processed and stored are defined, and each use of AI is checked against them before and during live use.
Integration with existing systems
AI is connected to core systems through supported, documented interfaces that the organisation can maintain, change and switch off.
Managing models in live use
Models, prompts and their configuration are versioned and released under control, so the organisation knows what is running and can roll back to a known good version.
Testing and evaluation before release
Before release, each AI system is tested for accuracy, robustness and behaviour against acceptance criteria agreed in advance, and released only if it meets them.
Technology change and refresh
The organisation plans for changes to models, suppliers and platforms, including suppliers withdrawing models, so that AI services continue without disruption.
Unapproved AI tools
Use of unapproved AI tools is detected, and people using them are steered to an approved alternative or a route to get their need met.