Opportunity discovery examines where AI could help a workflow and where simpler automation may be more appropriate. Use cases are prioritized against business value, feasibility, risk and measurable outcomes. Build-versus-buy analysis includes vendor terms, integration and lifecycle costs.
Scope can include generative AI integration, assistants, knowledge retrieval and workflow automation. A pilot defines evaluation data, human review, escalation and production-readiness criteria. Value measurement accounts for quality, time, adoption and operating cost rather than assuming a financial return.
What we focus on
- Opportunity discovery
- Business case and build-versus-buy
- AI assistants and knowledge retrieval
- Pilot design
- Value measurement
Clear, useful deliverables.
The final scope determines the deliverables included in your engagement.
- Prioritized use-case portfolio
- Business case assumptions
- Pilot architecture and evaluation plan
- Production readiness recommendations
A considered engagement process.
- 01Discover opportunities
- 02Prioritize value and risk
- 03Design pilot and safeguards
- 04Implement and evaluate
- 05Decide production readiness
Your questions, answered.
What will we agree before work begins?
We define objectives, assets and data involved, access requirements, deliverables, exclusions and acceptance criteria. Availability and the delivery team are confirmed before a written scope is agreed.
What can our team expect to receive?
The agreed deliverables can include prioritized use-case portfolio, business case assumptions, pilot architecture and evaluation plan, production readiness recommendations. Recommendations identify priorities and next steps; implementation and follow-up are scoped separately unless included in the agreement.
How do we start?
Book an initial consultation to discuss ai strategy & implementation. The consultation clarifies needs and scope; it does not constitute a completed assessment, certification or implementation.