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Coverage-loss bridge save

On the first of the month your patient's plan quietly stops covering their medication, or they age into a new coverage regime, and the next time they go to refill they are staring at the full cash price — with no warning and no plan B.

Get aheadTime-based triggerSystem triggerRisk triggerEmailPushChatGLP-1 & PeptidesHealth & TelehealthInsurance

What it does

GLP-1 coverage is fragile. A payer can exclude the whole drug class at renewal, or a patient can age into a coverage regime that drops it, and in both cases the patient finds out at the worst possible moment — at the pharmacy counter, facing the full price for the first time. The reflex is to stop therapy, and a program loses a clinically-successful patient to a coverage change it had no part in. This agent gets ahead of the cliff instead of inheriting the fallout. It watches for the coverage-end signal — the renewal date that carries an exclusion, the eligibility change, the benefit reset — flags the looming gap before the refill fails, and presents the bridge paths: a cash-pay rate, a manufacturer savings program, or a temporary bridge offer. The patient walks into the change already holding the next step, rather than discovering it as a dead end.

How it works

  1. 1
    Trigger. a coverage-end signal fires for a patient — a renewal that carries a class exclusion, an eligibility or plan change, or a benefit reset — ahead of the date the cover actually lapses.
  2. 2
    Decision. the agent reads memory and plan context — current medication and dose, the coverage that is ending, prior cost sensitivity — and assembles the bridge options that apply (cash-pay rate, manufacturer savings, a temporary bridge program), ranking the path that keeps the patient on therapy at the lowest legitimate cost. A judge reviews every unprompted message before it sends.
  3. 3
    Action. a clear, early message lands on a program-owned channel naming the coverage change and the date, framing the value of staying on therapy, and laying out the bridge options with a route to act; any payment runs through the program's secure hand-off, never the agent.
  4. 4
    Follow-through. coverage-specific or clinical questions route to the right channel; the chosen bridge is set up and the plan re-priced; if the patient bridges or cancels, queued touches stop automatically, and saved-versus-lost patients are measured against a holdout so the effect is proven, not assumed.
Example
AgentA heads-up before it catches you off guard: your plan is dropping coverage for your medication class from the first of next month, so a refill after that would be at full price unless we get ahead of it. You've got options — a cash-pay rate and a manufacturer savings program — and I can walk you through which keeps your cost lowest. Want me to lay them out?
PatientI had no idea, I assumed it was covered. Full price is not happening.
AgentThat's why I flagged it now rather than letting the refill fail. The savings program brings it well under the cash list price, and nothing about your dose or routine changes. Let's get you set up on it before the coverage ends so there's no gap.

Configuration

How the agent is wired for this use case.

Triggera coverage-end signal for the patient — a renewal carrying a class exclusion, an eligibility / plan change, or a benefit reset (coverage_ending event) — sourced from the policy / coverage system ahead of the lapse date.
Tools & actions
  • Policy / coverage system · receive the coverage-end signal and read the patient's ending benefit, exclusion, and effective date
  • Clinical/EHR system · read current medication and dose to confirm the bridge options fit the patient's therapy
  • Billing system · present cash-pay, manufacturer-savings, and bridge-program pricing and re-price the plan, with payment through the program's secure hand-off
  • Messaging channel · deliver the judged early-warning message on a program-owned channel and lay out the bridge options
  • Memory store · read cost sensitivity and history; write the chosen bridge outcome back for follow-up
Autonomycoverage-cliff detection, the early-warning message, and presenting approved bridge options run unattended and judge-gated; the patient confirms any payment through a secure hand-off and clinical questions are clinician-gated; the agent never advises a dose and never takes payment itself (money-moving and clinical steps are confirmation-gated, detect → surface → human approves).
Channelsemail · push · chat
Escalationcoverage-eligibility detail or clinical questions hand off to the right human team; if the patient bridges to a new path or cancels, queued touches are cancelled automatically.

What you need

The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.

Signals

the coverage-end event (class exclusion at renewal, eligibility change, benefit reset) with its effective date, and the affected medication.

Data

current medication and dose, the ending coverage and its terms, available cash-pay / manufacturer-savings / bridge options, channel consent, coach-chat memory.

Guardrails

judge review on every unprompted message; clinical questions escalate to a clinician and the agent advises no dose; payment only through the program's secure hand-off; honest framing of the coverage change, never pressure; frequency caps; suppression on bridge or cancellation; holdout measurement of the saved cohort.

Metrics it moves

  • churndown, by catching the coverage cliff before the failed refill turns into a quiet stop.
  • save-rateup, by handing the patient a working bridge path ahead of the price shock instead of after it.
  • ltvup, as patients kept on therapy through a payer change continue to return on already-paid acquisition.

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Titration-cliff cost-shock save

the cost-shock save fired by a dose-tier price step instead of lost coverage

Convert

Insurance coverage check and prior-auth navigator

the upstream coverage-and-PA navigation that this card backstops when cover later lapses

See it on your own customer journey

Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.

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