The frameworks

How do we apply what is known to produce a robust outcome?

• Design — Frames the problem clearly; defines success criteria; identifies constraints and trade-offs; creates artefacts that guide human and AI delivery.
• Orchestrate — Breaks work into flows; delegates appropriately to AI or humans; monitors dependencies; integrates outputs into one coherent deliverable.
• Review — Checks outputs against requirements; identifies defects or missing context; gives specific feedback; decides whether work is ready, needs revision, or should be escalated.

What is happening, what matters, and what should we decide?

• Reason — States assumptions; compares explanations; uses evidence appropriately; explains why a conclusion follows from the available information.
• Evaluate — Defines evaluation criteria; compares options; tests evidence quality; weighs benefits, risks, feasibility, ethics, and second-order effects.
• Judge — Makes clear decisions; explains trade-offs; applies ethical and organisational context; recognises when uncertainty is acceptable or too high.

How do we execute repeatable work reliably and improve it over time?

• Translate — Follows process; completes tasks to standard; records progress; identifies exceptions; escalates when the work no longer fits the known procedure.
• Automate — Identifies repeatable tasks; defines workflow rules; creates or configures automation; tests outputs; builds exception paths and human checkpoints.
• Monitor — Tracks performance; identifies bottlenecks; improves templates or workflows; reduces rework; validates that changes improve quality and reliability.

What could be possible, and how might we turn it into something worth testing?

• Explore — Asks generative questions; searches beyond the obvious; compares unfamiliar ideas; uses AI to expand perspectives; keeps multiple possibilities open before narrowing.
• Originate — Creates original concepts; reframes constraints; brings a distinctive point of view; combines ideas in useful ways; explains why an idea matters.
• Plan — Prioritises ideas; defines experiments; sets milestones; identifies assumptions; creates a lightweight roadmap that remains adaptable as evidence emerges.