Diagnosis, planning and advisory
Structured help with the decisions and the work that follow them. Three rungs that clients can enter at any point:
- A diagnostic, fixed-scope and fixed-fee, that produces an honest picture of where things actually are.
- A planning deliverable, fixed-scope and fixed-fee, that translates the diagnostic (or an existing situation) into a written plan: a strategy, a roadmap, a governance framework, a policy paper, an AI adoption plan, a grant application. The shape of the deliverable adapts to the problem.
- Ongoing advisory, on a monthly retainer, for organisations that want a fractional advisor or fractional CXO embedded with their executive team.
Domain-agnostic. The practice works across AI adoption, change and transition management, project management, business strategy, productisation, policy development, and operationalisation. Where an engagement needs technical execution beyond strategy and advice, we bring in vetted specialists from the practice's network.
Tell us what you are working on.
Teaching and coaching
Helps senior leaders, their teams, and individuals build genuine fluency with AI and with the systems that move work forward. Delivered in four formats: one-to-one coaching for executives and individuals; half-day or full-day workshops for organisations; periodic public talks and salons; and a monthly newsletter that publishes shortly.
Engagements begin with foundations rather than tools. A client who understands what AI is good at, what it is not good at, and where human judgment is decisive will use it better than a client who has been handed a list of prompt patterns.
Most useful for: leaders who want structured one-to-one learning; teams who want a shared baseline; individuals who want a small group of trusted hours with someone who treats their questions seriously.
Talk to us about a coaching block or a workshop.
AI augmentation system
This is the work that picks up where strategy stops, going further into the actual systems an organisation runs on. A four-component methodology for putting AI into how real work actually gets done:
- Workflow mapping. Understanding how work actually flows in a specific function or vertical, not how the org chart says it does.
- Data ingestion and cleaning. Integrating with and normalising the disparate sources that the workflow draws on.
- Skill deployment. Building the specific tools that solve specific pain points: board reporting, knowledge retrieval, customer triage, multilingual handling, and the knowledge bases that hold the institution's memory.
- Embedded change management. People who can build the systems work alongside the people whose work it changes, rather than parachuting in for a workshop.
To discuss what an augmentation engagement might look like, get in touch.
