These scenarios are based on common situations observed in international companies. They do not represent real clients or guaranteed results. Each company requires its own diagnosis before implementing.
Situation: Customers ask about availability, price and delivery. Quotes are prepared manually and many remain untracked.
Possible pilot: query capture, classification by product type, draft quote and follow-up reminders.
Indicators: first response, quotes prepared, follow-ups carried out, opportunities open.
Human control: Special prices, discounts and credit go through human approval.
Situation: Patients ask about hours, location, preparation, services and appointments.
Possible pilot: assistant for general information, basic data collection and appointment request.
Indicators: Appointment requests, frequent queries answered, escalated cases, response time.
Human control: AI does not give medical diagnoses or clinical recommendations.
Situation: Clients ask about status, documents, requirements and delivery times.
Possible pilot: flow to log requests, collect data, query basic status, and escalate complex cases.
Indicators: registered requests, update time, pending documents, escalated cases.
Human control: Delivery commitments, costs and exceptions are validated with the responsible team.
Situation: Interested parties ask about price, location, requirements and visits. They are not always qualified.
Possible pilot: Initial qualification by budget, area, type of property, urgency and visit schedule.
Indicators: qualified leads, requested visits, opportunities without responsibility, first response time.
Human control: Negotiations, approvals and commercial decisions remain with the advisor.
Situation: Inquiries about availability, packages, rates, schedules and changes arrive after hours.
Possible pilot: assistant for frequently asked questions, reservation details and delivery of requests to the team.
Indicators: registered requests, response time, follow-ups carried out, potential reservations.
Human control: Special changes, refunds and sensitive conditions are escalated to one person.
Situation: Clients report failures with incomplete information and the team wastes time requesting basic data.
Possible pilot: flow through WhatsApp to collect information, classify urgency and create summary for operations.
Indicators: complete requests, registration time, emergencies detected, jobs with follow-up.
Human control: Technical diagnoses, final costs and service promises are validated by one person.
In the diagnosis we identify which scenario is most similar to your operation and which pilot could be tested without compromising sensitive decisions.