Award

Digital Channels AI Consultancy

DEPARTMENT FOR WORK AND PENSIONS

This public procurement record has 1 release in its history.

Award

27 Feb 2025 at 11:08

Summary of the contracting process

The Department for Work and Pensions (DWP) has recently concluded an award process for the "Digital Channels AI Consultancy" contract, classified under "Technical services". This contract involves consultancy to explore the impact of next-generation AI technologies on DWP's operations and customer interactions. The procurement utilised a selective method via a call-off from a framework agreement, with the contracting period starting on 24th February 2025 and ending on 23rd February 2026. The awarded contract, valued at £385,000, will be delivered across various locations including the British Overseas Territories, Channel Islands, Europe, Isle of Man, the United Kingdom, and the rest of the world. The procurement stage is complete, with the final award notice published on 27th February 2025.

This tender offers significant opportunities for businesses specialising in AI and digital consultancy services, particularly those experienced in multi-channel and complex organisational environments. SMEs are well-positioned to compete given the suitability criteria that favour them. Companies equipped to address the nuanced requirements of public sector organisations, especially in leveraging AI for service improvement and efficiency, will find this contract beneficial for expansion and credibility in the public domain. The primary supplier for this contract is Sabio Limited, indicating a competitive selection process.

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Notice Title

Digital Channels AI Consultancy

Notice Description

Provision of a consultancy service to DWP to explore how the next generation of AI technologies that are being developed impact DWP and its customers, what we can do now to avoid missing opportunities and how AI and the use of AI fits together in a multichannel and complex organisation.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-d89387a2-fd69-4f19-b165-202230503829
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/f8b13706-f61f-446f-8c8d-7a69638164cc
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Framework
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Call-off from a framework agreement
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

71 - Architectural, construction, engineering and inspection services


CPV Codes

71356000 - Technical services

Notice Value(s)

Tender Value
£385,000 £100K-£500K
Lots Value
Not specified
Awards Value
£385,000 £100K-£500K
Contracts Value
Not specified

Notice Dates

Publication Date
27 Feb 202512 months ago
Submission Deadline
6 Feb 2025Expired
Future Notice Date
Not specified
Award Date
6 Feb 20251 years ago
Contract Period
24 Feb 2025 - 23 Feb 2026 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
DEPARTMENT FOR WORK AND PENSIONS
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
BLACKPOOL
Postcode
FY4 5ES
Post Town
Blackpool
Country
England

Major Region (ITL 1)
TLD North West (England)
Basic Region (ITL 2)
TLD4 Lancashire
Small Region (ITL 3)
TLD42 Blackpool
Delivery Location
Not specified

Local Authority
Blackpool
Electoral Ward
Stanley
Westminster Constituency
Blackpool South

Supplier Information

Number of Suppliers
1
Supplier Name

SABIO

Open Contracting Data Standard (OCDS)

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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