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| Source: | Find a Tender Service (FTS) |
| Notice Type: | Tender notice |
| Buyer: | Department for Culture, Media & Sport |
| Main Category: | Services |
| Procurement Method: | Competitive flexible procedure |
| Tender Status: | Open |
| Estimated Value (ex. VAT): | £1,500,000 |
| Estimated Value (inc. VAT): | £1,800,000 |
| Release Date: | 24 September 2026 |
| Application Deadline: | 23 October 2026 |
| Enquiry Deadline: | 14 October 2026 |
| Contract Start Date: | 12 February 2027 (Estimated) |
| Contract End Date: | 11 February 2030 (Estimated) |
| Contract Duration: | 3.1 years |
| Procurement ID (OCID): | ocds-h6vhtk-06d489 |
| Notice Reference: | 090755-2026 |
All 4 notices for this procurement, oldest first.
105017 - AI adoption across DCMS sectors
105017 - What works in AI Adoption within DCMS Sectors
105017 - What works in AI Adoption within DCMS Sectors
What works in AI Adoption within DCMS Sectors
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Full information is provided within the specification. DCMS are seeking to commission "what works" research into the impact and effectiveness of AI adoption interventions within DCMS sectors. We are interested in two broad sets of questions. The first is analysis of how businesses within DCMS sectors that are in the process of adopting AI achieve this, the challenges they face and the opportunities and benefits realised. We anticipate this will be explored through an ethnographic study that observes how individuals and teams actually use AI tools in their jobs. The second set of questions is what policy interventions work best to support businesses that wish to adopt AI, which we anticipate will be answered by testing hypothetical interventions through randomised control trials (RCTs). Bidders will be able to propose alternative methodologies if they think they suit these questions better; the core need for this project is to produce direct, robust evidence of what works, as opposed to what is self-reported (e.g. through interviews, focus groups, surveys, and similar) to work.
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Application Deadline
23 October 2026
29 days left
Estimated Value
£1,500,000
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