Shaping Loops is a human-led AI transformation practice. We help organisations decide where AI belongs, redesign the work around it, and turn that into a practical roadmap for implementation, governance and learning.
Using our Loops methodology and flexible facilitation toolbox, we lead participatory workshops with the people doing the work — surfacing what matters, testing choices and guiding the journey from shared direction to roadmap, implementation and learning.
Explore your starting point →This site offers a lightweight self-diagnostic. Our work with clients is human-led, facilitated and tailored to each organisation.
Choose the closest match. You can refine it later.
Select a situation to see which areas may need attention first.
An example starting point, not an organisational assessment.
Start where your organisation needs attention most. As one area changes, the others may need to rebalance.
All seven loops stay in view, even when an engagement starts with one priority module.
AI is rapidly changing how knowledge is produced, decisions are made, expertise is exercised and people coordinate — reshaping daily work and the organisations and institutions through which society operates. That change is systemic: alter one workflow and you also change data needs, governance, roles, skills and measures of value.
Technology alone does not create value. Isolated pilots and tools layered onto unchanged work can add coordination, dependencies and complexity without improving the underlying process.
Better work depends on relational intelligence. AI can accelerate individual tasks, but organisations still depend on people sharing context, challenging assumptions and connecting knowledge across roles and teams. We redesign those hand-offs, decisions and learning relationships with the people doing the work — so AI strengthens collective capability rather than hollowing it out.
The system has to stay in balance. A change in technology can shift knowledge, governance, roles, skills and risk. Sustainable adoption therefore needs implementation support, internal learning and repeated rebalancing — not a one-off recommendation.
Shaping Loops combines complementary expertise in behavioural science, knowledge management, community building, strategic decision-making, organisational design and implementation support.
Brings expertise in strategic design, visual modelling, framework development and high-impact facilitation — building organisational intelligence that turns digital adoption and knowledge management into sustained capability.
Brings leadership expertise at the intersection of technology, organisational design and European public policy — translating complexity into practical transformation choices, governance and human-centred capability building that engages staff.
Brings expertise in political psychology, participatory governance, collective intelligence and evidence-informed policymaking — translating how people make decisions, build trust and share knowledge into governance design, facilitation and learning structures for human-centred AI transformation.
Scope note: Shaping Loops is technology- and vendor-neutral. We develop transformation strategy, use cases, governance and organisational capabilities; we do not technically implement AI systems. Founders may hold external professional roles. Shaping Loops work is undertaken separately from those roles, and potential conflicts are disclosed and managed where relevant.
Field Notes on AI, work, knowledge, judgement and organisational capability.
The loops provide a practical place to start from your work, your people and your ambition. We help turn that starting point into clearer workflows, prioritised use cases, governance, capabilities and implementation plans that can improve as your organisation learns.
Built for partnership. We work alongside internal teams and can complement technical, legal and other specialist partners. Our role is to connect organisational design, decision-making, learning and implementation support — not to sell or install a preferred AI platform.
You do not need to understand the methodology. Start with what is happening in your organisation.
Type it as you would explain it to a colleague — or use your voice.
This helps the constellation distinguish exploration from adoption, rollout and review.
Tell us what you want to improve, where AI is already present, or simply what you would like to explore. No diagnostic is required.
Prefer email? shaping.loops@gmail.com
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