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planningFind a Tender · planning

Institutional Readiness Assessment and AI Strategy Scoping

Buyer: York St John University →

BuyerYork St John University
Statusplanning
DeadlineNot published
Value£60,000
Published15 Jun 2026

What is being bought

York St John University (YSJ) is preparing to procure specialist support to deliver a Governance and Institutional Readiness Assessment and AI Strategy. Generative AI is already widely embedded across institutional activity, including teaching, learning, research and professional services, with evidence indicating the use of a significant number of tools across the University and a largely decentralised approach to adoption. In response, the University is seeking to move from fragmented, unmanaged adoption towards a coherent, governed and strategically aligned approach to AI, enabling safe, effective and purposeful use at scale. This pre-market engagement exercise is intended to inform the development of the full procurement and ensure that the Invitation to Tender (ITT) reflects current best practice, innovation and market capability. For more information about this opportunity, please visit the eSourcing portal at: https://neupc.delta-esourcing.com/tenders/UK-UK-York:-Systems-and-technical-consultancy-services./26QBGUNP78 To respond to this opportunity, please click here: https://neupc.delta-esourcing.com/respond/26QBGUNP78

Delivery location

UKE21, GB

Categories

Systems and technical consultancy services 72220000Business analysis consultancy services 72221000Business and management consultancy and related services 79400000Business and management consultancy services 79410000

Lot details

Lot 1

No lot description published.

Statusplanning
Contract periodFrom 1 Sept 2026 to 30 Nov 2026

What is included

ItemCategoryQuantity
1Systems and technical consultancy services, Business analysis consultancy services, Business and management consultancy and related services, Business and management consultancy servicesNot published

Comparable-procurement analytics

Benchmarked against retained Find a Tender procedures with CPV division 72. The category anchor is Systems and technical consultancy services (72220000); this is a deliberately broad market comparator. The comparison is shown at several levels rather than pretending one company or region is always the best benchmark.

Comparison setProceduresReported bids per procedureNamed award suppliersPrice evidence
Market: CPV division 725,9791 median · 14.4 average (2,178 of 5,979 with a bid count)1.9 average (2,596 of 5,979 with named award suppliers)Not published
Same buyer0Not publishedNot publishedNot published
Delivery region: UKE2158 median · 8 average (1 of 5 with a bid count)2 average (1 of 5 with named award suppliers)Not published
Similar published value (0.5×–2×)2531 median · 1 average (4 of 253 with a bid count)1 average (4 of 253 with named award suppliers)Not published

“Reported bids” is an official aggregate, sometimes reported per lot; it is the closest available competition measure. “Named award suppliers” are winners, not all applicants.

Price-outcome signal

Not enough comparable procedures currently publish both a GBP tender value and a usable lowest-valid-bid value to calculate a responsible price-reduction benchmark. Tenderline deliberately does not infer a saving from named award suppliers or from missing award values.

Procurement strategy & market signals

Framework agreementNot published
Dynamic purchasing systemNot published
Competitive procurementNot published
Recurring requirementNot published
Procurement method rationaleNot published
Rationale classificationsNot published
Special regimeNot published
Covered byNot published
Submission policyNot published
Selection criteriaNot published
Risk detailsNot published

Planning & early market engagement

BudgetValue not published
No-engagement rationaleNot published
Planning documents1
Planning milestones1
MilestoneTypeDueStatus
Governance and Institutional Readiness Assessment and AI Strategy The University’s objective is to establish a clear institutional AI strategy and governance model that enables a coordinated, controlled and adaptable approach to AI. This includes strengthening the University’s ability to: •Shape how AI is used across academic and professional services •Manage associated risks, including legal, ethical and operational considerations •Monitor and assess AI usage across the institution •Enable consistent, safe and effective adoption at scale The University is seeking market insight to inform how this requirement can best be delivered, including approaches, methodologies and innovations that are aligned to the Higher Education sector. Indicative scope of requirement While requirements continue to be refined, the University anticipates that the appointed partner will support: •AI Readiness and Maturity Assessment Evaluation of current AI adoption, governance effectiveness, and institutional risk exposure •Assessment of Existing Systems and AI Capability Review of enterprise platforms (e.g. M365, VLE, CRM) and embedded AI capabilities Identification of value, gaps and unmanaged risk •AI Strategy Development (Primary Output) A clear, practical and implementable institutional AI strategy Defined principles covering teaching, research and professional services •Governance and Operating Model (Primary Output) Design of a governance structure enabling effective oversight, control and decision-making •Platform, Access and Tooling Model Approach for providing safe, consistent access to approved AI tools Reduction in reliance on unapproved or high-risk tools •Policy, Guidance and Acceptable Use Framework Development of a clear and usable framework aligned to institutional governance and controls •User Experience and Adoption Ensuring tools and guidance are accessible, practical and embedded in workflows •Indicative Roadmap and Decision Framework A high-level, flexible implementation pathway supported by structured decision-making •Risk, Control and Benchmarking Proportionate control framework and benchmarking against sector leaders Purpose of this engagement This pre-market engagement exercise is designed to: •Test the University’s current assumptions about delivery approach and scope •Understand what represents standard practice in AI strategy and governance engagements •Identify innovative approaches, tools and methodologies emerging in the market •Explore delivery models appropriate to the UK Higher Education context •Ensure the eventual ITT reflects practical, implementable and market-aligned requirements Insights gathered will directly inform the final specification and procurement approach. Engagement activities During the engagement period, the University may: •Invite suppliers to submit written responses or position statements •Hold market engagement sessions or one-to-one discussions •Request demonstrations of relevant methodologies, frameworks or tools Participation is entirely voluntary and will not influence any future procurement evaluation. How to participate Suppliers interested in contributing to this engagement are be invited to register their interest by emailing an initial proposal to procurement@yorksj.ac.uk. Further details regarding timelines and engagement activities will be shared with participants. Important notice This notice is issued solely for the purpose of pre-market engagement. It: •Does not constitute a call for competition •Does not form part of any procurement process •Does not commit the University to undertake any future procurement The intention is to ensure that any future procurement is well-informed, proportionate and aligned to market capability.engagement3 Jul 2026scheduled

Related procurements

No linked framework, prior procurement or reprocurement published.

Documents & submission route

Source data inventory

Diagnostic view. “Not published” means this current release does not provide a value.

OCIDocds-h6vhtk-06b4ba
Latest release ID056058-2026
Latest release timestampMon Jun 15 2026 09:41:04 GMT+0000 (Coordinated Universal Time)
Sourcefind-a-tender
Official notice URLNot published
Tender statusplanning
Procurement methodNot published
Procurement method detailsNot published
Main procurement categoryservices
Above thresholdNo
Legal basis2023/54
Tender period: startNot published
Tender period: endNot published
Expression of interest deadlineNot published
Enquiry deadlineNot published
Award period: startNot published
Award period: endNot published
Submission method detailsNot published
Submission languagesNot published
Electronic catalogue policyNot published
Total tender value£60,000
Tender lots in source1
Tender items in source1
Tender documents in source0
Awards in latest release0
Contracts in latest release0
Parties in latest release1

Notice history

DateEventReference
15 Jun 2026planning056058-2026

All source data

Unmodified official OCDS data retained by Tenderline for this procurement process.

Complete current OCDS release JSON
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        "description": "Governance and Institutional Readiness Assessment and AI Strategy\nThe University’s objective is to establish a clear institutional AI strategy and governance model that enables a coordinated, controlled and adaptable approach to AI. \nThis includes strengthening the University’s ability to:\n•Shape how AI is used across academic and professional services\n•Manage associated risks, including legal, ethical and operational considerations\n•Monitor and assess AI usage across the institution\n•Enable consistent, safe and effective adoption at scale \nThe University is seeking market insight to inform how this requirement can best be delivered, including approaches, methodologies and innovations that are aligned to the Higher Education sector.\nIndicative scope of requirement\nWhile requirements continue to be refined, the University anticipates that the appointed partner will support:\n•AI Readiness and Maturity Assessment\nEvaluation of current AI adoption, governance effectiveness, and institutional risk exposure\n•Assessment of Existing Systems and AI Capability\nReview of enterprise platforms (e.g. M365, VLE, CRM) and embedded AI capabilities\nIdentification of value, gaps and unmanaged risk\n•AI Strategy Development (Primary Output)\nA clear, practical and implementable institutional AI strategy\nDefined principles covering teaching, research and professional services\n•Governance and Operating Model (Primary Output)\nDesign of a governance structure enabling effective oversight, control and decision-making\n•Platform, Access and Tooling Model\nApproach for providing safe, consistent access to approved AI tools\nReduction in reliance on unapproved or high-risk tools\n•Policy, Guidance and Acceptable Use Framework\nDevelopment of a clear and usable framework aligned to institutional governance and controls\n•User Experience and Adoption\nEnsuring tools and guidance are accessible, practical and embedded in workflows\n•Indicative Roadmap and Decision Framework\nA high-level, flexible implementation pathway supported by structured decision-making\n•Risk, Control and Benchmarking\nProportionate control framework and benchmarking against sector leaders\nPurpose of this engagement\nThis pre-market engagement exercise is designed to:\n•Test the University’s current assumptions about delivery approach and scope\n•Understand what represents standard practice in AI strategy and governance engagements\n•Identify innovative approaches, tools and methodologies emerging in the market\n•Explore delivery models appropriate to the UK Higher Education context\n•Ensure the eventual ITT reflects practical, implementable and market-aligned requirements\nInsights gathered will directly inform the final specification and procurement approach.\nEngagement activities\nDuring the engagement period, the University may:\n•Invite suppliers to submit written responses or position statements\n•Hold market engagement sessions or one-to-one discussions\n•Request demonstrations of relevant methodologies, frameworks or tools\nParticipation is entirely voluntary and will not influence any future procurement evaluation.\nHow to participate\nSuppliers interested in contributing to this engagement are be invited to register their interest by emailing an initial proposal to procurement@yorksj.ac.uk. Further details regarding timelines and engagement activities will be shared with participants.\nImportant notice\nThis notice is issued solely for the purpose of pre-market engagement.\nIt:\n•Does not constitute a call for competition\n•Does not form part of any procurement process\n•Does not commit the University to undertake any future procurement\nThe intention is to ensure that any future procurement is well-informed, proportionate and aligned to market capability."
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Complete JSON history (1 releases)
15 Jun 2026 · 056058-2026 · planning
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        "description": "Governance and Institutional Readiness Assessment and AI Strategy\nThe University’s objective is to establish a clear institutional AI strategy and governance model that enables a coordinated, controlled and adaptable approach to AI. \nThis includes strengthening the University’s ability to:\n•Shape how AI is used across academic and professional services\n•Manage associated risks, including legal, ethical and operational considerations\n•Monitor and assess AI usage across the institution\n•Enable consistent, safe and effective adoption at scale \nThe University is seeking market insight to inform how this requirement can best be delivered, including approaches, methodologies and innovations that are aligned to the Higher Education sector.\nIndicative scope of requirement\nWhile requirements continue to be refined, the University anticipates that the appointed partner will support:\n•AI Readiness and Maturity Assessment\nEvaluation of current AI adoption, governance effectiveness, and institutional risk exposure\n•Assessment of Existing Systems and AI Capability\nReview of enterprise platforms (e.g. M365, VLE, CRM) and embedded AI capabilities\nIdentification of value, gaps and unmanaged risk\n•AI Strategy Development (Primary Output)\nA clear, practical and implementable institutional AI strategy\nDefined principles covering teaching, research and professional services\n•Governance and Operating Model (Primary Output)\nDesign of a governance structure enabling effective oversight, control and decision-making\n•Platform, Access and Tooling Model\nApproach for providing safe, consistent access to approved AI tools\nReduction in reliance on unapproved or high-risk tools\n•Policy, Guidance and Acceptable Use Framework\nDevelopment of a clear and usable framework aligned to institutional governance and controls\n•User Experience and Adoption\nEnsuring tools and guidance are accessible, practical and embedded in workflows\n•Indicative Roadmap and Decision Framework\nA high-level, flexible implementation pathway supported by structured decision-making\n•Risk, Control and Benchmarking\nProportionate control framework and benchmarking against sector leaders\nPurpose of this engagement\nThis pre-market engagement exercise is designed to:\n•Test the University’s current assumptions about delivery approach and scope\n•Understand what represents standard practice in AI strategy and governance engagements\n•Identify innovative approaches, tools and methodologies emerging in the market\n•Explore delivery models appropriate to the UK Higher Education context\n•Ensure the eventual ITT reflects practical, implementable and market-aligned requirements\nInsights gathered will directly inform the final specification and procurement approach.\nEngagement activities\nDuring the engagement period, the University may:\n•Invite suppliers to submit written responses or position statements\n•Hold market engagement sessions or one-to-one discussions\n•Request demonstrations of relevant methodologies, frameworks or tools\nParticipation is entirely voluntary and will not influence any future procurement evaluation.\nHow to participate\nSuppliers interested in contributing to this engagement are be invited to register their interest by emailing an initial proposal to procurement@yorksj.ac.uk. Further details regarding timelines and engagement activities will be shared with participants.\nImportant notice\nThis notice is issued solely for the purpose of pre-market engagement.\nIt:\n•Does not constitute a call for competition\n•Does not form part of any procurement process\n•Does not commit the University to undertake any future procurement\nThe intention is to ensure that any future procurement is well-informed, proportionate and aligned to market capability."
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