Madrid Dental Clinic
Preview decision: evidence and score are strong enough to prepare a manual follow-up asset later, but no external action is executed.
“I called three times and nobody answered, then had to book somewhere else.”
The decision log reads like an evidence ledger: reviewer, timestamp, decision, approval, lead, source quote, and score context stay attached. Entries are deterministic previews only — no approval execution, outreach, send, export, copy, sync, live source call, browser automation, or production persistence runs.
Every record exposes the local reviewer label, creation time, preview decision, source URL, evidence quote, linked approval, and linked lead.
The ledger records what a human reviewed; it does not send, export, copy, sync, mutate production data, or call a live provider.
Preview decision: evidence and score are strong enough to prepare a manual follow-up asset later, but no external action is executed.
“I called three times and nobody answered, then had to book somewhere else.”
Preview decision: keep this approval in review until a human checks additional proof and source context.
“Intercom is overkill and expensive for our small team. Any lighter alternatives?”
Preview decision: keep this approval in review until a human checks additional proof and source context.
“Customers repeatedly ask about treatment prices, booking rules, and aftercare.”
Preview decision: evidence and score are strong enough to prepare a manual follow-up asset later, but no external action is executed.
“Our clinic loses leads when nobody answers after 6pm. We need something lighter than hiring another receptionist and not as heavy as Intercom.”
Preview decision: evidence and score are strong enough to prepare a manual follow-up asset later, but no external action is executed.
“Intercom is too expensive and overkill. We mostly need fast answers for repeated customer questions and handoff to a human.”
Preview decision: evidence and score are strong enough to prepare a manual follow-up asset later, but no external action is executed.
“I run a service business and every lead asks the same booking rules and pricing questions. Slow replies cost us bookings.”
Preview decision: evidence and score are strong enough to prepare a manual follow-up asset later, but no external action is executed.
“We need fast answers for repeated customer questions and a simple handoff to a human when the bot cannot help. Slow replies are hurting trials.”
Preview decision: evidence and score are strong enough to prepare a manual follow-up asset later, but no external action is executed.
“I called twice after work and nobody answered. I booked with another clinic that replied faster. Contact page lists phone and form only; no instant answer path is visible.”
Preview decision: keep this approval in review until a human checks additional proof and source context.
“Customers keep asking about treatment prices, booking rules, and aftercare before committing. Pricing FAQ is thin and booking questions are repeated in public snippets.”
Preview decision: evidence and score are strong enough to prepare a manual follow-up asset later, but no external action is executed.
“Lead forms are answered next day and customers mention slow replies during emergency repair windows. Service page has no automated triage for urgent repair requests.”
Preview decision: keep this approval in review until a human checks additional proof and source context.
“After-hours class questions go unanswered until morning, and several trial leads drop before staff replies. Booking page does not answer repeated membership and schedule questions outside staffed hours.”
Preview decision: keep this approval in review until a human checks additional proof and source context.
“New visitors ask whether services are available this week before they book. Contact page lists phone and form only with no chat and no instant answer path.”