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Industry solution — Healthcare

Automate 80%+ of Patient Support Calls

Replace legacy IVR with a real-time AI voice agent for appointment scheduling, prescription refills, and routine inquiries — across phone, web, and mobile.

Intelina Voice· Phone

Appointment booking, prescription refills and triage routing on the phone line, with the caller identified before they speak.

Intelina Desk· Web chat

Portal chat for coverage questions, form help and pre-visit instructions — escalating to a coordinator as a tracked ticket.

80%+
Potential Automation
60%+
Faster Resolution
10K+ calls/day
Scale Capacity

Figures on this page are planning targets and typical volume distributions for the sector, not measured results from a named customer. We size them against your own numbers during the demo.

The Legacy IVR Bottleneck

  • Rigid IVR trees with 8+ menu layers
  • High agent dependency for basic queries
  • 3–5 minute hold times during peak hours
  • No contextual memory across calls
Customer
Menu or queue
Dead end
Contact mix

Where the volume actually goes.

Before deciding what to automate, it helps to see what people are actually contacting you about — and which module is the right home for each slice.

34%Appointment booking and reschedulingBoth modules

TodayMenu tree, then a scheduler

18%Prescription refill requestsIntelina Voice

TodayVoicemail queue, callback next day

16%Coverage, billing and copay questionsIntelina Desk

TodayTransferred to billing

12%Results, referrals and follow-up statusIntelina Desk

TodayPatient calls back repeatedly

11%Hours, location, prep instructionsIntelina Voice

TodayAnswered by whoever picks up

9%Clinical or urgent concernsIntelina Voice

TodayShould reach a human immediately

The approach

A patient-aware agent that resolves, not routes

01

Understands natural speech

Patients simply say what they need — no menus, no keypresses. The agent grasps intent and context in real time.

02

Grounded in your systems

Answers are drawn live from your scheduling, EHR, and pharmacy systems, so every response is accurate and current.

03

Takes real action

Books, reschedules, and confirms appointments or refills mid-conversation — then sends an SMS summary.

04

Escalates with full context

When a human is needed, the agent hands off with the complete conversation history — no repeating.

What the agent handles

  • Appointment scheduling & reminders
  • Prescription refill requests
  • Insurance & coverage questions
  • Clinic hours, directions & triage routing
Playbooks

What each module actually does here.

Not capabilities in the abstract — the specific flows, in order, with the primitives each one relies on.

Intelina Voice

Phone · AI voice agents + customer CRM

Reschedule without the phone tree

TriggerCaller says they need to move an appointment

  1. 1Caller ID is matched against your imported patient records before the greeting
  2. 2The agent reads back the upcoming appointment it already has in context
  3. 3It calls your scheduling system for open slots and offers the nearest few
  4. 4It writes the change back, confirms out loud, and texts the new time
read_customerhttp_webhook → schedulingpost-call SMS

Refill intake that finishes the job

TriggerCaller asks for a prescription refill

  1. 1The agent confirms which prescription from the patient record
  2. 2It files the refill request against your pharmacy system
  3. 3The request reference is spoken back in the same call
  4. 4The transcript, the intent and the executed action are written to the call log
read_customerhttp_webhook → pharmacyidempotent execution

Anything clinical goes to a person

TriggerSymptom language, urgency, or an explicit request for a nurse

  1. 1The AI policy blocks clinical guidance rather than attempting triage
  2. 2The escalation tool fires mid-call instead of after it
  3. 3The human receives the call with the full transcript so far
escalateAI policy guardrails

Intelina Desk

Web chat · AI chat + ticketing tool

Pre-visit instructions, answered from your documents

TriggerPortal chat asks what to bring or how to prepare

  1. 1The widget already knows who is signed in from your own session endpoint
  2. 2The knowledge base is searched for the relevant prep document
  3. 3The answer quotes your document rather than generating guidance
knowledge basesigned-in user detection

Coverage questions from live eligibility

TriggerPatient asks what a visit will cost them

  1. 1A registered data endpoint is called against your eligibility service
  2. 2Only the fields you whitelisted reach the model
  3. 3Nothing about the response is written to our database
data endpointsfield whitelistno data at rest

Handoff that carries the context

TriggerConfidence drops, or the patient asks for a coordinator

  1. 1The conversation becomes a ticket in the right queue
  2. 2The coordinator opens it with the entire thread attached
  3. 3SLA tracking starts from the moment of escalation
escalationqueuesSLA tracking
Integrations

What it plugs into.

Every connection is something you register in the dashboard — no bespoke integration work on our side.

Scheduling / EHR

HTTP webhook tool, credentials held as an encrypted org secret

Pharmacy or e-prescribing

HTTP webhook tool with idempotency on submit

Eligibility and billing

Registered data endpoint with a field whitelist

Telephony numbers

Per-number mapping to your organisation

Patient portal

One widget script tag plus your existing session endpoint

Guardrails

What it refuses to do.

The limits that matter in this sector, enforced by configuration rather than by prompt wording.

No clinical advice

The AI policy refuses diagnosis and treatment guidance outright and routes to a human instead of hedging.

Minimum necessary data

Chat pulls patient data live and keeps it in memory only; each endpoint exposes just the fields you name.

Consented recording

Call recordings and transcripts are stored against your organisation with a per-call audit trail.

Role-scoped access

Coordinators, supervisors and admins see only what their role allows, and every access is logged.

Rollout

How this actually goes live.

Read-only first, writes behind approvals, then widened once the record justifies it. No big-bang cutover.

  1. 01Days 1–3

    Connect identity

    Map the clinic numbers to your organisation and import patient records, or point the widget at your portal's session endpoint.

  2. 02Week 1

    Load what it's allowed to know

    Upload hours, prep instructions, policies and FAQs. They are chunked, embedded and searchable in under a minute.

  3. 03Week 2

    Define the actions

    Register the scheduling and refill tools in the dashboard. Run them as stubs first so the conversation can be tested before anything writes.

  4. 04Weeks 3–4

    Pilot one line

    Go live on a single clinic number or one portal page with approvals required for every mutating action.

  5. 05Ongoing

    Widen and tune

    Read the knowledge gaps report to see what the AI could not answer, document those, then relax approvals where the record justifies it.

Measurement

What to hold it accountable to.

Each target maps to something the product already reports, so nobody has to build a spreadsheet to find out whether it worked.

Metrics, current typical state, target, and where each is reported
MetricTypically todayTargetReported by
Calls resolved without a humanLow — most route to staff80%+ of routine requestsCall logs, filtered by escalation events
Time to an answer3–5 minute hold, then transferUnder a minuteCall duration in the call log
After-hours coverageVoicemailContinuousCall volume by hour of day
Repeat contacts on the same issueCommon for results and referralsFalling month over monthTicket reopen rate and knowledge gaps
Projected outcomes

What success looks like

80%+
Calls fully automated

Routine requests resolved without an agent.

<1 min
Average resolution

Down from 3–5 minute hold-and-transfer cycles.

24/7
Always available

After-hours and weekend coverage with no extra staffing.

Patients get instant answers around the clock, while staff focus on the cases that truly need a human.

Healthcare questions

What buyers in this sector ask first.

No. Clinical guidance is blocked by the AI policy rather than attempted and caveated. Symptom language and urgency trigger escalation to a person, mid-call, with the transcript attached.

See this running on your own healthcare data.

Bring one line or one queue and your real numbers. We will size the plan against them on the call rather than quoting the targets on this page back at you.