Telecom Sector

Voice AI for Outbound Debt Collection

An outbound voice agent that runs collections calls at scale, detects voicemail, falls back to SMS, and captures phone payments without a human on the line.

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Problem

A telecom provider needed to contact a high volume of customers with overdue balances without scaling up a human calling team, while staying compliant and capturing payment on the call itself.

System architecture
  1. 01
    Lead ingestion

    Overdue account lists land via FTP on a schedule; an automation reads the file, parses it, and upserts records into a Supabase table, avoiding duplicates on re runs.

  2. 02
    Call scheduling engine

    A cron based scheduler checks each lead's status flags (active today, do not contact, time window) and batches outbound calls within permitted calling hours, with logic to skip weekends and public holidays.

  3. 03
    Conversational agent

    An ElevenLabs voice agent places the call. It runs a staged conversation script with different stages corresponding to different points in the collections process (e.g. early reminder vs. formal notice vs. active enforcement), each with its own tone and required disclosures.

  4. 04
    Voicemail detection

    The system detects whether a human answered or the call went to voicemail, and branches accordingly, leaving a compliant voicemail message versus continuing a live conversation.

  5. 05
    SMS fallback

    For unanswered calls or as a supplement, an automated SMS is sent with a secure payment link.

  6. 06
    In call payment collection

    For customers who want to pay during the call, the agent hands off to a DTMF (keypad) payment flow integrated with a payment processor, so a card payment can be captured without a human agent.

  7. 07
    Multi brand routing

    The same underlying system serves multiple brands from one platform, each with its own script, voice, and caller ID, routed by which brand's lead the call belongs to.

  8. 08
    Post call logging

    After each call, a webhook receives the call transcript and outcome, logs it against the lead record, and updates the account's status (contacted, promised to pay, disputed, escalated, etc.) for reporting and the next scheduling cycle.

Result

Outbound collection calls run at scale without proportional headcount growth, with full call logging and status tracking feeding back into future scheduling decisions.

Keywords
  • voice AI for debt collection
  • AI outbound calling agent
  • automated payment collection voice AI
  • ElevenLabs Twilio debt collection
Content angle

How an AI voice agent handles outbound debt collection calls end to end. A deep technical walkthrough post, or a shorter explainer on why voicemail detection matters in voice AI.

Frequently asked
Is this compliant with collections regulation?+

The system does not replace compliance decisions. It executes an approved script, respects opt outs, records consent, and escalates edge cases to human agents.

Can it be adapted outside telecom?+

Yes. The underlying pattern (list based outbound dialer, voicemail detection, payment capture, structured record) applies to utilities, subscriptions, and any recurring billing business.

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