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Greater London government (the GLA Group) is accelerating AI adoption through a common approach to governance, capability and usage​. AI tools are already in use across the GLA group. We are looking to standardise our approach, guidance and governance. ​Our goal is to create the conditions for a well-governed and responsible adoption at scale The GLA Group is exploring the market for an external partner to work with us to shape our AI Adoption Programme cohesively ahead of delivery, in areas where external expertise would add great value to align our policies and co-design training, to responsibly support AI pilots and scale successful pilots across departments and organisations. ​ The requirement is expected to include: Develop and embed London AI principles in organisational policy:​ Develop London-specific AI principles common for the entire GLA Group based on the UK Government's AI Playbook. Embed these principles in each organisation's policies, (incl. those which are not AI-specific and in procurement standards) and operationalise these principles in our culture and practice to ensure responsible and innovative AI use.​ Envision and validate a 'to-be' position on AI best practice ensuring we lead by example on the recommendations in the London AI and Jobs Taskforce report (incl. using our role as an employer and procurer to shape AI adoption and workforce transition in London). Design and deliver a practical tiered training offer:​ For all staff, on what AI can do well, risks and responsibilities, everyday productivity uses and improving prompting.​ For specific teams targeted for having tasks apt for simplification from AI, tailored training on role-specific use cases, practical exercises, measuring benefits and feeding back potential projects and pilots.​ For leadership, organisational changes, strategic opportunities, governance and risk management. Support us in co-designing an operating model for the future of AI Adoption​: Co-design an evaluation framework to confirm which opportunities to pilot and which successful use cases to scale within and across organisations