ENDA

Your reception agent

Answer patient questions instantly, then point them to book

AI replies about services, hours and insurance, then offers a booking link on the spot.

Patients choosing a clinic ask about the same things — do you offer this treatment, are you open evenings, do you take my insurance — and whoever answers first usually gets the booking. This workflow lets an AI agent answer accurately and share a booking link right away, so an inquiry becomes an appointment instead of a missed call.

Last reviewed

A customer asks their assistant

“find a physio near me open on weekends”

Your reception agent
Answers
Your services, hours and insurers
Hands over
Anything specific to a patient’s policy
Not yet
Verifying a policy or entitlement
An illustration of the moment this agent is built for.

Can AI tell a patient if my clinic takes their insurance?

It can repeat what you have described about cover; it cannot check a policy. The agent answers from your services, hours and the insurers you have listed, and sends anything specific to your team rather than guessing at someone’s entitlement.

Answers
Your services, hours and insurers
Hands over
Anything specific to a patient’s policy
Not yet
Verifying a policy or entitlement

Your customers are already asking AI

These are the kinds of prompts people now type into an AI assistant — the demand this workflow is built to serve.

  • “find a physio near me open on weekends”

  • “which clinic nearby takes my insurance”

  • “who offers sports massage in my area”

  • “find a wellness clinic with evening appointments”

So how does a customer's AI find this at all?

These questions only become appointments if patients reach you first. Make your services and this inquiry assistant available to AI, so when someone asks their assistant for a clinic that fits their needs, AI can point them to you and offer a slot on the spot.

The questions that decide whether somebody books are dull and specific: which insurers you actually take, whether Saturday is a real opening or an occasional one, what a first visit costs, and what you do not treat at all.

Fugentic publishes what you describe as an MCP server — the thing that lets an AI assistant ask your business a question and get a real answer back — and registers it, so an agent finder, the index an assistant checks to see what is available, can pick it up.

  1. The customer asks

    “which clinic nearby takes my insurance”

  2. AI looks for what can answer

    An agent finder checks what is available

  3. Your agent answers

    Your reception agent

    Anything specific to a patient’s policyreaches you

Fugentic publishes and registers the middle. You supply what your agent knows, and what it collects lands wherever you already work.

A patient asking their assistant for a physio open at the weekend who takes their insurer gets your real answer — and clinics that cannot be asked simply do not appear in the shortlist, however good they are.

See how getting found by AI works →

What AI can and cannot do here today

What AI can do today

  • It can say which treatments you offer, when you are open and which insurers you work with.
  • It can answer the questions that decide a booking, so a patient is not left calling to find out.
  • It can share your booking link so a patient can take the next step immediately.

What it cannot do yet

  • It cannot verify anyone’s policy or entitlement. That goes to your team, with what the patient has told it.
  • It cannot give clinical advice. It describes what you offer; it does not assess whether that is the right treatment.
Based on what the platform hosts today: an agent that answers from what you have described, and hands the rest to you.

How the AI services inquiry workflow works

  1. 1

    Patient asks a question

    Someone messages by SMS, chat, or call about services, hours, or insurance.

  2. 2

    AI checks your details

    The agent reads your services, hours, and cover to find the right answer.

  3. 3

    Clear answer sent

    The patient gets an accurate reply about what you offer and when.

  4. 4

    Offered a booking

    The agent shares a booking link so the patient can grab a slot straight away.

Will AI one day quote, book and sell for you?

Not yet — and not for a while. Everything below needs server types we hope to build, and an AI ecosystem that is still forming. It is where this is going, not what you sign up for today.

  1. 1

    Quoting against live data

    Not available today

    One day your reception agent could check the policy rather than describe it, and tell somebody what they will actually pay before they come in.

  2. 2

    Taking the booking

    Not available today

    It could book the first visit while the patient is still asking, instead of handing them a link and hoping.

  3. 3

    Selling and closing

    Not available today

    Further out, the excess could be settled and the claim opened in the same conversation that answered the question.

Where this agent fits

Few businesses need only one agent. Different moments of the same customer journey want different help — and every one of them is made available to AI the same way.

See how your agents work together →

Industries it fits

Build this workflow

Open this exact workflow in the free Agentic Planner and adapt it to your business — no code required.

Frequently asked questions

Yes — the agent answers from the cover details you provide and routes anything unclear to your team.

It shares your booking link so patients can self-book, or hands off to reception when that's preferred.

Yes — patients get answers around the clock, so inquiries don't wait until you reopen.

Because these questions are asked before a clinic is chosen, not after. A clinic an assistant cannot ask is a clinic it cannot put forward — and “do they take my insurance” is the question that removes most of the shortlist.

Make your services available to AI

Describe what you sell, what it costs and how you decide — then publish it as an agent an assistant can ask. No code.

Browse all use cases →