Implementation evidence
These pages show what was built, where people stayed in control and how the published metrics should be interpreted. Results are specific to each client and are not promises for another business.
Construction and B2B equipment rentalThe implementation sources project signals, drafts contextual outreach and delivers reviewed leads to Hazzel's CRM.
The published before/after figures on this page describe this client's workflow after the implementation.
Read the case study →
Food, events and cooking workshopsThe system answers repeat questions, checks calendar availability and hands custom event requests to the team with context.
The published before/after figures on this page describe this client's support and booking workflow.
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 →