AI Foundation and Digital Front Door Services
Location: United Kingdom
Source: Open Contracting Data Standard (OCDS)
SRS partner services face sustained pressure from rising demand, increasing complexity, workforce constraints and growing expectations for digital access. Many core processes remain manual, fragmented, or duplicated, reducing productivity, increasing risk and limiting staff capacity for higher-value work.Partners are currently responding independently, trialling small-scale automation or using fre
- Status
- Closed
- Location
- United Kingdom
- Updated
- 3 Nov 2026
- Source
- Open Contracting Data Standard (OCDS)
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Tender Information
Participants
| Not available for this record. |
Status
Original status | complete |
Taiyo status | Closed |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | SRS partner services face sustained pressure from rising demand, increasing complexity, workforce constraints and growing expectations for digital access. Many core processes remain manual, fragmented, or duplicated, reducing productivity, increasing risk and limiting staff capacity for higher-value work.Partners are currently responding independently, trialling small-scale automation or using free AI tools without integration or consistent oversight. This creates duplication, uneven progress and avoidable risk.The proposed investment provides a shared AI Management Hub as a common foundation, enabling AI to be integrated safely into systems, data and workflows across all partners. It supports governance, service resilience and value for money through a single coordinated approach.Year one will deliver the shared AI Foundation, including a secure AI Management Hub integrated with existing systems and data, core AI tools for staff, a controlled replacement for ungoverned free AI tools, and the initial Digital Front Door capability for AI-assisted handling of citizen enquiries. |
Location
Country | United Kingdom (UK) |
Source
Source | Open Contracting Data Standard (OCDS) |
URL |
More Details
Record type | Tender |
Article published date | 2026-08-02 |
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