Prioritise credible AI opportunities with clear knowledge, workflow, oversight, integration, and risk requirements.
Best suited to
- Teams exploring internal knowledge assistants or customer-support automation
- Businesses with repetitive information and coordination workflows
- Leaders who want an evidence-led use case before funding a build
What you receive
- Workflow and user-needs map
- Ranked AI and automation opportunities
- Knowledge-source and integration inventory
- Human-oversight and risk requirements
- Prototype recommendation and success measures
01
Observe
Identify repeated decisions, hand-offs, and information bottlenecks.
02
Prioritise
Score use cases by value, feasibility, risk, and data readiness.
03
Frame
Define the smallest responsible prototype and how its value will be measured.