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Phi-Lean.ai – True Lean software automation

Dental practice

Appointments booked without interrupting treatment, and freed slots offered again at once

The phone rings during treatment, messages pile up, and an appointment cancelled the day before is an empty chair. Phi-Core prepares every reply, reminds patients and offers freed slots again.

Target

< 5 min

target reply time, 7 days a week

The scenario

A town-centre practice with three dentists and two assistants.

The flow, end to end

This use case, laid out on the Phi-Core architecture.

  1. What triggers it

    • Inbox & messagingWhatsApp message, e-mail or website form
    • Schedule & web watchEvery day at 6 p.m.: appointments two days ahead
  2. The agents at work

    Phi-Core
    • TriageSorts, prioritises and spots urgency, by your rules.
    • DraftingWrites replies, quotes and reminders, in your tone and your house style.
  3. You validate

    The assistant approves each slot proposal in one click; emergencies are flagged to her first.
  4. What comes out

    • Drafts ready to sendReply to the patient with three slots suited to the reason for the visit
    • Systems kept up to dateAppointment entered in the practice diary
    • Smart alertsEmergency flagged to the assistant, who calls back
    • Tasks & approvalsWaiting list kept up to date

Today

  • Requests arrive by phone, e-mail, WhatsApp and web form, with no single queue.
  • The assistant leaves the chair to answer, or calls back between two patients.
  • An appointment cancelled the day before is almost never refilled: the chair stays empty.
  • Reminders are sent by hand, when there is time left.

With Phi-Core

  1. A patient writes: “I’ve lost a filling, do you have anything this week?”
  2. The triage agent classifies the request (here: a treatment, possibly painful) and works out the duration and the dentist.
  3. Phi-Core reads the practice diary and picks three suitable slots.
  4. The drafting agent prepares the reply; the assistant approves it in one click, and the patient picks a slot.
  5. The appointment goes into the diary; two days before, the patient gets a reminder with “I confirm” and “I can’t come”.
  6. If someone cancels, the freed slot is offered to patients on the waiting list, in order.

What we look at first

Before plugging anything in, we spend time with the people who do this work. That is where most of the value lies: a well-understood flow automates simply; a poorly understood one automates badly, whatever the tool.

  • The real reasons for requests and how long each treatment takes: check-up, scaling, treatment, emergency, new patient.
  • The practice’s rules: which dentist for which reason, which slots are kept for emergencies.
  • Failure demand: how many calls only exist to confirm, move or chase.

What changes

  • A reply to the patient within minutes, evenings and weekends included.
  • Fewer interruptions during treatment.
  • Freed slots filled again, instead of empty chairs.
  • Reminders sent every time, without thinking about it.

Plugged into your tools

The practice diary (Google Calendar, Outlook or the online booking tool), WhatsApp Business, the practice’s e-mail. If an online booking platform is already in place, Phi-Core points patients to it and only handles the requests that arrive elsewhere.

Safeguards

  • No detailed medical data is kept: the reason for the visit is reduced to a category (check-up, treatment, emergency).
  • An emergency is never handled automatically: it is flagged to the assistant, who calls back.
  • The practice stays in charge of its diary; Phi-Core proposes, the assistant decides.
The Lean principle behind this case“Serve more” pillar: + CapacityServe more customers, without heavy investmentRead on phi-lean.com

Does your flow look like this one?

Describe it in a few lines: we will tell you where we would start, and what we would look at first.

Typical scenario, built to illustrate Phi-Core; it is not a client reference. The targets shown are design goals: yours are set during the diagnostic, from your real flow.

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Which of your flows deserves to be automated?

Thirty minutes is often enough to spot the flow that will pay back most, and what needs fixing before any AI is plugged in. No commitment.