This agreement will use a Dynamic Purchasing System (DPS) to offer artificial intelligence (AI) services to the whole of the public sector and their associated bodies and agencies.
If you are new to AI you will be able to procure services through a discovery phase, to get an understanding of AI and how it can benefit your organisation. If you have experience in AI, you will be able to buy licensing, customisation and support directly from suppliers. If you would like both of these things, you will have access to end-to-end partnerships.
The type of technology available using the development, implementation and support of AI services includes AI software applications, machine learning to help with data analytics, intelligent virtual assistants and intelligent personal assistants.
Health and social care bodies will have access to AI applications such as medical imaging software, non-imaging diagnostic software and symptom-based software, to help accelerate AI technologies in health and social care in line with the AI in Health and Care Award.
Contracts under this agreement can range from anything up to four years, depending on the complexity of the project.
Filter Category Level 1 – Scope of Engagement
The first stage of an AI procurement, this filter includes AI discovery, licencing, customisation and support, end-to-end partnerships.
Filter Category Level 2 – Type of AI
Relates to the type of technology available, examples include AI applications, augmented decision making, data and analytics, virtual assistants and chatbots and medical AI technology.
Filter Category Level 3 – Medical AI Technology
Intended to broadly represent the emerging pipeline of AI technologies in health and social care, this filter includes screening, diagnosis, augmented decision making, improving system efficiency and more.
Filter Category Level 4 – Sector
Relates to the sectors to which a supplier is able to deliver services in an order contract and includes blue light, central government, devolved administrations, health, local government and not-for-profit.