Operating Model & Delivery ยท OPM-08
Collaboration and sharing
The organisation works with peer organisations and partners to share AI solutions, lessons and capacity where this serves its aims.
Why it matters
Many organisations face the same AI problems. Sharing solutions and lessons reduces cost and repeated mistakes, and pooled capacity gives smaller organisations access to skills they could not hold alone.
Levels
| 0 Absent | Confirmed absent: the evidence shows nothing is in place. Not known is recorded as insufficient evidence, not 0. |
|---|---|
| 1 Initial | No deliberate collaboration; contact with peers happens through individuals. |
| 2 Developing | Some collaboration or sharing takes place, but it is opportunistic and not tracked. |
| 3 Defined | A stated approach guides collaboration with peers and partners, and solutions and lessons are shared and taken up under agreed data, intellectual property and ethical terms. |
| 4 Managed | The value of collaboration is assessed, for example time or cost saved, and partnerships that do not deliver are changed or ended. |
| 5 Optimising | Collaboration shapes the organisation's AI plans, and it contributes to and learns from shared work as a matter of course. |
Level 3 criteria
Level 3 is met when every applicable criterion is met. Criteria marked with an overlay apply only to organisations with that characteristic (overlays).
- OPM-08.1 A stated approach to collaboration exists and says which kinds of partner are sought and why.
- OPM-08.2 The organisation takes part in relevant peer groups or partnerships.
- OPM-08.3 Solutions and lessons are shared and taken up within agreed rules on data and intellectual property.
- OPM-08.4 Partnership agreements state the adopted ethical principles and the data and intellectual property terms.
Assessment questions
- Which peer organisations or partners do you work with on AI, and on what?
- Can you give an example of a solution or lesson you shared or took up?
- Membership or partnership records and agreements
- Examples of solutions or lessons shared or reused
- Partnership agreements stating principles, data and intellectual property terms
How to reach Level 3
- Write a short collaboration approach that says which kinds of partner the organisation seeks and why.
- Join one or more relevant peer groups or partnerships and name who represents the organisation.
- Agree rules for sharing data and intellectual property before sharing solutions or lessons.
- Make sure each partnership agreement states the ethical principles adopted (RSK-05) and the data and intellectual property terms.
- Record solutions and lessons shared with and taken up from partners.
Common pitfalls
- Relying on personal contacts, so collaboration stops when one person leaves.
- Sharing material before agreeing who owns it and how it may be used.
Starter artefacts
- Collaboration approach statement
- Partnership agreement template
- Log of solutions and lessons shared
Ownership and sequence
- Accountable
- executive sponsor
- Contributors
- delivery lead, ai governance lead
- Depends on
- OPM-01
- Roadmap step
- 3
- Lifecycle
- strategy, design, operate
Cross-references
| GDS AI Playbook | P7 direct |
|---|---|
| MITRE AI Maturity Model | P2.2 direct |
| NIST AI RMF 1.0 | GOVERN 4.3 partial |
| UK Data and AI Ethics Framework | Transparency 10 partial; Environmental sustainability 2 partial |
| UNESCO AI Maturity Framework | 1.5 partial; 4.4 direct; 4.5 partial |
direct: this control at Level 3 meets the item. partial: it covers part of it.