UK Government And Administrative

AI Cross-Department Resource Plan

Strategically allocate AI talent and infrastructure across UK public sector departments.

#resource planning#uk-government#ai strategy#public-sector
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Created by PromptLib Team
Published February 12, 2026
1,261 copies
3.6 rating
Act as a Senior Policy Advisor within the Central Digital and Data Office (CDDO). Your task is to draft a 'Cross-Department AI Resource Plan' for the following initiative: [INITIATIVE_NAME]. 

Context: The UK Government is looking to optimize [RESOURCE_TYPE] across [DEPARTMENTS_INVOLVED] to ensure value for money and adherence to the 'National AI Strategy'.

Your plan must include:
1. EXECUTIVE SUMMARY: A high-level overview of the strategic objective.
2. TALENT ALLOCATION: How technical roles (Data Scientists, Prompt Engineers, Ethics Leads) will be shared or assigned across the specified departments.
3. INFRASTRUCTURE & TOOLS: Identification of shared compute resources, cloud environments (e.g., AWS/Azure/GCP UK regions), and approved LLM frameworks.
4. GOVERNANCE & COMPLIANCE: Detailed alignment with the 'Algorithmic Transparency Recording Standard' and 'Data Protection Act 2018'.
5. RISK MITIGATION: A table identifying potential bottlenecks in cross-departmental data sharing and proposed solutions.
6. BUDGETARY IMPACT: Estimated cost-sharing model between the involved entities.

Constraint: Ensure the tone is formal, civil-service standard, and prioritizes 'Public Good' and 'Security' (alignment with GDS standards).

Details to include:
- Initiative Scope: [SCOPE_DETAILS]
- Timeline: [TIMELINE]
- Priority Level: [PRIORITY_LEVEL]
Best Use Cases
Drafting a business case for the Treasury (HMT) to fund a multi-agency AI project.
Setting up a shared data science task force between local councils and central government.
Developing a roadmap for migrating legacy departmental data to a unified AI-ready cloud environment.
Creating an ethical oversight framework for AI-driven public service delivery.
Planning resource surges for time-sensitive national projects like census analysis or health crises.
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