DEPARTMENT FOR SCIENCE, INNOVATION & TECHNOLOGY has floated a tender for National Ai Tender for Frontier Ai Companies to Support Agentic Ai Powered Gov.Uk Chat - Pre Market Engagement. The project location is United Kingdom and the tender is closing on 31 Mar 2025. The tender notice number is , while the TOT Ref Number is 116775513. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.

Expired Tender

Procurement Summary

Country : United Kingdom

Summary : National Ai Tender for Frontier Ai Companies to Support Agentic Ai Powered Gov.Uk Chat - Pre Market Engagement

Deadline : 31 Mar 2025

Other Information

Notice Type : Tender

TOT Ref.No.: 116775513

Document Ref. No. :

Competition : ICB

Financier : Self Financed

Purchaser Ownership : Public

Tender Value : Refer Document

Purchaser's Detail

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Tender Details

The Department for Science Innovation and Technology ("DSIT") is committed to leveraging frontier Artificial Intelligence ("AI") technologies to transform how citizens interact with government services. Our vision is for a fully integrated, AI-powered, personalised GOV.UK experience for citizens. DSIT intends to encourage frontier AI companies to collaborate with us in exploring the art of the possible, from enhancing our existing GOV.UK services to developing proofs-of-concept showcasing advanced AI agent capabilities adapted for the public sector context. The "National AI Tender" approach follows the 'Scan, Pilot, Scale' framework outlined in the AI Opportunities Action Plan, with a goal of culminating in national-level procurements to deliver a unified, citizen-centric digital government platform powered by cutting-edge AI solutions. The tender will follow a phased engagement with clear go/no-go gates within and between each stage. The Scan phase has comprised of two-way partnerships with AI vendors to understand current agentic AI technology capabilities as well as future developments. In parallel, the GOV.UK App team has conducted user research into personalised guides, exploring how to reduce complexity for users navigating government services and tasks across departmental boundaries by recognising the nuances of individual life situations and experiences. The Pilot phase, in 2025/26, will focus on testing the value, technical feasibility and deliverability of using Age...

Documents

 Tender Notice


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