02Service
AI strategy & opportunity
Identify where AI can change a real workflow or decision, and separate genuine opportunity from generic ambition.
We look for AI opportunities inside actual business events and decisions, then assess feasibility, risk, and expected value before recommending a build.
When this service is needed
- The organisation wants an AI strategy but is unsure where AI would create real value
- Multiple AI pilots exist without a coherent view of priority or governance
- Leadership wants to understand AI risk and readiness before committing budget
Problems addressed
- AI initiatives are chosen by novelty rather than operating value
- There is no shared method for evaluating AI opportunity, risk, and feasibility
- Governance and human-authority questions are addressed after a pilot, not before
What we do
- Identify candidate opportunities inside real workflows and decisions
- Assess feasibility, data readiness, and risk for each candidate
- Score and prioritise opportunities against expected operating value
- Define the human-authority and governance model for shortlisted opportunities
- Recommend a sequenced path from assessment to pilot
Example use cases
- Evaluating where a decision-support assistant would materially change a workflow
- Assessing the risk profile of a proposed agentic workflow before funding a build
- Rationalising a portfolio of disconnected AI pilots into one plan
Governance & adoption considerations
- Every opportunity is assessed against a defined risk and human-authority framework before prioritisation
- No opportunity is recommended for build without an explicit evidence and control plan
Related industries
Where this service is often applied.
NextA first conversation
Discuss a ai strategy & opportunity challenge.
Not a brief, not a platform shortlist — the decision that arrives late, the workflow held together by people, the AI question without a clear answer. That is enough to start.