AI and Metadata Tooling
Sector: Broadband • Location: United Kingdom
Source: Find a Tender Service (UK)
HMRC is increasingly reliant on data, technology and digital services to support the delivery of its strategic objectives. Effective management of metadata, business knowledge and information assets is essential to supporting governance, assurance, transformation activity, operational delivery and the responsible adoption of Artificial Intelligence (AI). We currently operate an on-premise solution
- Status
- Bidding
- Sector
- Broadband, Road, Telecommunications
- Location
- United Kingdom
- Updated
- 3 Nov 2026
- Source
- Find a Tender Service (UK)
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Status
Original status | active |
Taiyo status | Bidding |
Taiyo last update | 2026-11-03 |
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Description
Description | HMRC is increasingly reliant on data, technology and digital services to support the delivery of its strategic objectives. Effective management of metadata, business knowledge and information assets is essential to supporting governance, assurance, transformation activity, operational delivery and the responsible adoption of Artificial Intelligence (AI). We currently operate an on-premise solution that supports metadata management and governance capabilities across the organisation; however, the existing solution is approaching the end of its lifecycle and does not have any further extension options available. This provides us with an opportunity to assess the market for a tool that moves beyond traditional data cataloguing and metadata management towards a more connected, intelligent and AI-enabled capability that supports understanding of how HMRC operates as a data-driven organisation. This includes connecting information relating to data, systems, business processes, risks, controls, policies, organisational structures and customer journeys in a single, integrated environment. |
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Location
Country | United Kingdom (UK) |
Source
Source | Find a Tender Service (UK) |
URL |
More Details
Record type | Tender |
Sector | Broadband, Road, Telecommunications |
Article published date | 2026-09-21 |
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