Executive AI alignment
Develop a shared direction for what AI could make possible, and the choices your leadership team needs to make.
- Brief prework around one team and one theme
- A facilitated leadership session
- A written decision and capability agenda
A useful fit for leadership teams choosing a direction, developing a new offering or building a shared understanding of AI.
One leadership team and one agreed theme. The participant group, session format and follow-through are agreed in the scope.
Strategy and Opportunity Sprint
Explore a strategic theme and decide which AI opportunities are worth pursuing, with useful evidence for the next investment.
- Review of related opportunities in one agreed theme
- Conversations with the relevant people
- Investment, evidence and next-step recommendations
A useful fit for teams exploring customer value, new services, better decisions or a capability they want to develop.
The opportunities, interviews and evidence are agreed before the sprint. Implementation is scoped separately.
Capability Design and Implementation
Design and build a useful AI capability, connecting the technology with knowledge, work design, ownership and quality.
- Design and delivery of one agreed capability
- Evaluation of usefulness, quality and operating cost
- An acceptance process, ownership and handover
A useful fit for organizations ready to develop a new customer experience, agent workflow, decision tool or other defined capability.
Access, integrations, operating responsibilities and release decisions are reviewed together. Delivery begins with an agreed scope.
AI Operating Partnership
Keep an agreed AI agenda moving through continuing leadership, learning, evidence review and deliberate improvement.
- One selected leadership, learning or capability agenda
- A named practitioner and an agreed review cadence
- Clear next actions, improvement decisions and handover
A useful fit for organizations that want continuing support for an AI agenda or an accepted capability.
Responsibilities, time, support boundaries and renewal terms are agreed explicitly. New builds and major changes receive their own scope.
Workflow Learning Sprint
Develop a useful AI skill through practice in one role and workflow, then review what people can do independently.
- One agreed role and workflow, with understandable criteria
- Baseline practice, assisted practice and independent review
- A versioned instructional package and adoption recommendation
A useful fit for individuals or teams developing practical capability in their approved AI tools.
Delivered with a facilitator and reviewer. Tools, source material, learner evidence and team size are agreed in the scope. Learning does not grant system permissions.
Explore what AI could make possible
Start with an ambition, idea or question. A conversation can help you choose a useful direction.
- A conversation around your ambition and context
- An appropriate consulting or learning entry
- A suggested next step to consider
A useful fit for people who want to explore possibilities before choosing a particular engagement.
You can start without a readiness assessment or a diagnosed operating problem. Any engagement and its terms are agreed separately.