RFP QuestBeta
OpenStage · planning

Department for Culture, Media and Sport

105017 - AI adoption across DCMS sectors

Business ServicesCPV 79315000
Value£1,500,000
Deadline
Published27 Jul 2026
RegionNationwide

£1,500,000 — stated in the notice

Who to contact
commercial@dcms.gov.uk

The procurement contact named on the official notice.

Contract value in context
£1.5mtotal contract value
median £66k
this tender£0£1.6m

This is a large award for Business Services — above three-quarters of comparable contracts. Based on 57,319 valued Business Services tenders in our corpus.

When this comes round again

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The brief

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.

This project will be commissioned either through a Competitive Flexible Procedure under the Procurement Act 2023, or through the RM6126 Research and Insights framework.

This is part of the DCMS Science and Analysis R&D Programme, which supports R&D capability within the department.

This project will run concurrently aside three other large projects across 2027-2030, these include; mapping the specific "user pathways" audiences take to find, consume, and value information; a continuation of previous research to develop data-intensive approaches for capturing engagement at unticketed cultural, heritage, and sporting events/activities/locations, e.g. using mobile app data to model how people participate in our events; and a continuation of previous research to design and improve methods for holistically tracking the long-term impact of major events, tested on a major event.

Requirements

What the notice asks for

01

The second set of questions is what

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).

02

Bidders will be able to propose alternative

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.

Sentences from the notice that state an obligation, surfaced automatically and shown in the order they appear. Not an exhaustive list — always confirm against the tender documents.

The gates

What this notice demands of you

1 named, none in explicit obligation language. Each one is quoted from the notice.

Crown Commercial Service frameworkFrameworks & routes to market
This project will be commissioned either through a Competitive Flexible Procedure under the Procurement Act 2023, or through the RM6126 Research and Insights framework.

Matched against the notice text, so this is a floor — the tender pack will demand things the notice never mentions. “Says must” means the quoted sentence itself used obligation language; anything ambiguous is left as a mention.

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Source & provenance
OCID
ocds-h6vhtk-06d489
Stage
planning · Planning
Source
Find a Tender
Buyer ref
070910-2026
View the original notice on Find a Tender

Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.

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