Implementation evidence
These pages show what was built and where people stayed in control. They describe the scope of each implementation, do not publish client metrics and are not promises for another business.
Telehandler rental and salesAI collects rental enquiry details from phone and email, drafts offers and rental documents from company templates, and organises service requests alongside machine records.
This case study describes the scope of the implementation and where people keep control. It does not publish client metrics.
Read the case study →
Cooking workshops, events and venue hireAI organises workshop and event enquiries in a shared register, drafts replies from an approved knowledge base and offers from the approved price list, and gathers accepted arrangements in an event sheet.
This case study describes the scope of the implementation and where people keep control. It does not publish client metrics.
Read the case study →The following are reusable workflow patterns, not client case studies. They help frame discovery before a technical scope exists.
Classify incoming messages, draft a response and route exceptions to an owner.
Validate source access, approval rules and escalation time.
Extract required fields, flag missing evidence and create a review queue.
Validate document variance, accuracy thresholds and rollback.
Collect system data, reconcile exceptions and publish an owned KPI view.
Validate metric definitions, refresh timing and accountability.
See the transparent criteria, limits and formulas used by the AI Use Case Finder.
Read the methodology →