01Opportunity matrix
Use-case portfolio
Candidate opportunities mapped by value, feasibility, urgency and risk.
03 / EXPERTISE
Move from AI interest to evidence-based investment decisions.
AI Strategy & Readiness
A responsible AI adoption plan grounded in valuable use cases, available data, operating constraints and measurable success criteria.
Discuss this engagement ↗WHAT CHANGES
A shared basis for better decisions.
The engagement turns dispersed knowledge and assumptions into explicit, reviewable evidence.
- Use cases ranked by value, feasibility and risk
- An honest view of data and organisational readiness
- Controls designed before experimentation scales
- Clear measures for pilot and investment decisions
DELIVERABLES
What you receive.
Each artifact is tailored to the decision at hand. The examples below show the structure, not a fixed template.
02Maturity assessment
Readiness scorecard
Assessment of data, technology, skills, governance and operating model.
03Data register
Data assessment
Source availability, quality, access, sensitivity and ownership gaps.
04Architecture views
Reference architecture
Conceptual AI flow with identity, retrieval, models, guardrails and monitoring.
05Governance register
Risk and control register
Privacy, security, bias, hallucination, compliance and operational controls.
0690–180 day plan
Adoption roadmap
Sequenced experiments, decision gates, capability building and scale criteria.
Example advisory deliverable
Governed AI knowledge assistant
A representative PlantUML architecture showing retrieval, permissions, guardrails, evaluation and human oversight.
PLANTUML / REPRESENTATIVE EXAMPLENO CLIENT DATA
ENGAGEMENT
How the work progresses.
A focused process that makes assumptions visible and keeps stakeholders involved in the decisions that matter.
Discover
Identify business challenges where AI could create measurable value.
Assess
Evaluate data, technology, governance, skills and change readiness.
Prioritise
Compare use cases through value, feasibility, cost and risk.
Plan
Define the pilot, controls, measures and responsible path to scale.
WHEN IT HELPS
This engagement is a strong fit when…
- Leadership needs a practical AI strategy rather than a technology demo
- Multiple use cases compete for limited budget and attention
- Data, security or governance concerns are blocking progress
- A pilot needs clear success criteria and a path to production
READY TO CLARIFY THE NEXT DECISION?
Request a consultation ↗