Use Cases

Memory for every
voice AI use case

Your callers shouldn't have to repeat themselves. See how Orthanc gives voice AI agents persistent memory across every industry and every call.

AI Receptionists

The Problem

Your AI receptionist answers the phone, but every call starts from zero. Returning patients, repeat clients, ongoing cases — it treats them all like strangers.

The Solution

Orthanc remembers every caller across every call. Past appointments, preferences, open issues — your AI receptionist greets returning callers like a real receptionist would.

"I already told you my appointment was moved to Friday."

Integration example
// After each call — sync the transcript
await orthanc.sync({
  userId: callerPhone,
  messages: callTranscript
});

// Next call from same number
const { memories } = await orthanc.context({
  userId: callerPhone,
  messages: [{ role: 'user', content: 'incoming call' }]
});
// → "Returning patient. Last visit: Jan 15.
//    Appointment rescheduled to Friday 10am.
//    Insurance: Aetna. Prefers morning slots."

Outbound Sales

The Problem

Your AI sales agent calls a prospect three times. Each time, it re-introduces itself, asks the same questions, and loses all credibility. Prospects hang up.

The Solution

Orthanc stores everything from every call — objections, interest level, budget, timeline. Your AI picks up exactly where it left off, building real rapport across multiple touches.

"Didn't I already tell you our budget last week?"

Integration example
// After discovery call
await orthanc.sync({
  userId: prospectPhone,
  messages: discoveryCallTranscript
});

// Follow-up call — AI remembers everything
const { memories } = await orthanc.context({
  userId: prospectPhone,
  messages: [{ role: 'user', content: 'follow-up call' }]
});
// → "Prospect: Mark, VP Engineering at Acme.
//    Budget: $50K. Timeline: Q2. Objection: security.
//    Asked for SOC2 cert last call."

Customer Support

The Problem

A customer calls back about the same issue for the third time. They have to explain everything from scratch. Again. They're frustrated before the conversation even starts.

The Solution

Orthanc gives your support AI the full history — past tickets, resolutions, promises made, and account details. Callers feel heard from the first word.

"This is the third time I'm calling about this."

Integration example
// Customer calls back about shipping issue
const { memories } = await orthanc.context({
  userId: customerPhone,
  messages: [{ role: 'user',
    content: 'calling about my order' }]
});
// → "Order #7823, placed Jan 10. Delayed shipment.
//    Last call: Jan 15, promised delivery by Jan 20.
//    Customer frustrated — this is 3rd call."

Healthcare & Telehealth

The Problem

A patient calls back and the AI has no record of their previous visit, medications, or care instructions. Time is wasted. Context is lost. Care quality drops.

The Solution

Orthanc maintains patient context across every interaction — medications, allergies, care instructions, appointment history — all retrieved in under 200ms when the patient calls.

"The AI didn't know I'm allergic to penicillin."

Integration example
// Patient calls for follow-up
const { memories } = await orthanc.context({
  userId: patientPhone,
  messages: [{ role: 'user',
    content: 'calling about my prescription' }]
});
// → "Patient: Maria Rodriguez. Last visit: Jan 8.
//    Prescribed: Amoxicillin 500mg, 10 days.
//    Allergies: Penicillin (mild), Sulfa.
//    Follow-up scheduled: Jan 22."

Call Centers

The Problem

Your call center handles thousands of calls a day. Agents — human or AI — waste the first two minutes of every call re-establishing context that already exists from previous interactions.

The Solution

Orthanc provides instant caller context before the agent even says hello. Previous interactions, open issues, account status — all loaded in milliseconds.

"Can you pull up my account? I called yesterday about this."

Integration example
// Incoming call — instant context
const { memories } = await orthanc.context({
  userId: callerPhone,
  messages: [{ role: 'user', content: 'incoming' }]
});
// Agent screen pops with:
// "Returning caller: James Wilson
//  Account: Pro tier, since 2024
//  Open ticket: #4521 (billing discrepancy)
//  Last contact: Jan 12, promised callback"

Debt Collection

The Problem

Collection calls span weeks or months. Each call needs context from all previous attempts — payment promises, disputes, hardship claims. Without it, debtors lose trust and hang up.

The Solution

Orthanc tracks the entire collection journey. Payment commitments, dispute reasons, arrangement terms — your AI picks up every call with full history.

"I already told you I set up a payment plan."

Integration example
// Collection follow-up call
const { memories } = await orthanc.context({
  userId: debtorPhone,
  messages: [{ role: 'user',
    content: 'returning call about account' }]
});
// → "Account #8834. Balance: $2,340.
//    Last contact: Jan 10 — agreed to $200/mo plan.
//    First payment due: Feb 1. No payment received.
//    Previous dispute: billing error (resolved Jan 5)"

Insurance Claims

The Problem

Claimants call multiple times throughout a claim process. Each time, the AI asks them to re-explain the damage, the timeline, and their claim number. It feels broken.

The Solution

Orthanc remembers every detail from every interaction — claim status, adjuster info, documents submitted, last update. Your AI handles follow-ups like a real claims agent.

"I've explained this water damage three times now."

Integration example
// Claimant calls for status update
const { memories } = await orthanc.context({
  userId: claimantPhone,
  messages: [{ role: 'user',
    content: 'checking on my claim' }]
});
// → "Claim #4521, filed Jan 3. Water leak damage.
//    Adjuster: Mike. Contractor quote submitted Jan 12.
//    Waiting on approval. Last call: Jan 15."

Your callers deserve to be remembered.

Start free with 5,000 credits. Integrate in under 5 minutes. See the difference persistent memory makes on your very first call.