AI Voice Agents for Hospital Indemnity Campaigns
Hospital indemnity conversations start with a coverage-gap question, not a product pitch. iGents run a needs-based pre-qualification pass against your client's criteria, then hand qualified prospects live to a human verifier or closer before anything is discussed in detail.
- Needs-based pre-qualification defined by your client
- No benefit, payout or coverage guarantees stated on the call
- Affordability context captured only where your criteria require it
- Product discussion and enrolment stay with your human team
3–5 day trial · No credit card · ~15-minute deployment
Scope on this campaign
- iGents handle
- Approved opener, needs-based screening questions, configured objection responses, disposition, transfer trigger.
- Your human team handles
- Product explanation, benefit detail, cost discussion and enrolment.
Scope
Pre-qualification, not a product conversation
The transfer that holds up is the one where the prospect already fits the criteria before a human spends time. On this campaign that means establishing the general need and the client-defined fit conditions, and stopping there.
iGents never state what a policy pays, what is covered, or what a prospect would receive. The fronter layer establishes fit and hands over; every statement about the product itself is made by your human verifier or closer.
Qualification
What the pre-qualification pass establishes
Your client defines the criteria. This is the shape the screening follows.
Coverage-gap context
Whether the prospect's situation matches the general need your client's criteria describe.
- Client-defined wording
- Answers captured per field
Fit conditions
The specific conditions your client uses to accept or reject a transfer.
- Hard gates end the call
- Soft gates passed to the verifier
Affordability context
Captured only where your criteria require it, and only as a recorded field — never as an assessment.
- No affordability judgement
- Recorded, not interpreted
Objections
Objections on a cost-sensitive call
Pushback here is usually about money and scepticism. Configured responses stay inside your approved library, acknowledge the concern and move to either a transfer or a clean disposition. iGents never improvise reassurance about what a product will cover or cost.
- Cost questions routed to the human team, not answered
- "I already have coverage" recorded as a screening outcome
- Timing objections captured as callback intent
- Unresolved objections categorised for script revision
Reporting
Every outcome dispositioned
Outcome codes are aligned to what your buyer reports on. The structure below is illustrative; final codes mirror your existing configuration.
| Outcome | What it tells your ops team |
|---|---|
| Transferred | Pre-qualification passed; prospect handed live to a human verifier |
| Qualified — callback | Fit confirmed, timing blocked the transfer |
| DNQ — needs criteria | A client-defined fit condition was not met |
| Existing coverage | Recorded as a distinct outcome for list hygiene |
| Objection — unresolved | Categorised for revision of the approved library |
| No contact | Voicemail, no answer or invalid number |
FAQ
Hospital Indemnity campaign questions
Can iGents explain what a policy covers?
No. No benefit, payout or coverage statement is made on the fronter layer. Your human verifier or closer handles product detail.
Is affordability assessed?
No. Where your criteria require an affordability field, it is captured as a recorded answer only — the fronter layer makes no judgement.
Who sets the fit conditions?
Your client, through your ops team. iGents apply them in the configured order.
What happens with prospects who already have coverage?
They are dispositioned under a distinct outcome so your list stays clean and the buyer's reporting stays accurate.
Put hospital indemnity pre-qualification on iGents
WhatsApp the team to scope it, or send your client's criteria through the trial form.
WhatsApp consultation for a direct scoping conversation, or send campaign details through the trial form.