Plavno built an AI voice collections agent that calls borrowers on behalf of banks and lenders, adapts the conversation to each account's delinquency stage, handles objections, and secures commitments to pay without adding collector headcount.
Overview
Collections teams at banks and lenders make thousands of repetitive outbound calls every month, from first reminders to long-overdue accounts disputing penalties. Plavno's voice AI agent runs these calls end to end, follows a different strategy for each delinquency segment, and hands complex or sensitive cases to human collectors with a full transcript.
Lower manual load on early-stage collection calls
Consistent, compliant tone across every call and every collector shift
More promises to pay captured and logged in a structured way
Coverage for evenings and weekends, when borrowers are easier to reach
Clear visibility into call outcomes by segment, portfolio, and script version

Most collections departments still rely on human agents for every outbound call, regardless of how simple or difficult the account is.
Common challenges included:
Most collector time goes to routine reminders on early-stage accounts
Borrowers who had hung up, lost income, or broken a promise are handled inconsistently
Tone and wording vary by collector, creating complaint and regulatory risk
Call capacity cannot flex to portfolio spikes or reach borrowers after hours
Promises to pay are captured in free text, making follow-up and reporting unreliable
Lenders need to contact more borrowers, recover more of the portfolio, and keep every conversation respectful and on-script without growing the collections team at the same pace.

The agent needed to:
Place outbound calls and introduce itself clearly on behalf of the lender
Load account context before the call: balance, days past due, call history, previous promises
Choose a conversation strategy by segment: first contact, repeat contact after a hang-up, broken promise, long-overdue dispute
Listen for hardship signals such as job loss and offer realistic payment options
Capture a promise to pay with an amount and date in structured form
Escalate disputes, legal threats, and vulnerable customers to a human collector
There are also important constraints:
Conversations are emotionally charged; the agent has to stay calm when borrowers interrupt, argue, or threaten court
Collections are regulated, so wording, disclosures, and contact rules have to be controllable, not improvised
Borrowers speak different languages, and the agent has to switch without a separate build per market
Every call has to leave a transcript and outcome that supervisors can audit

Solution
Automating outbound collection calls, adapting strategy to each delinquency segment, capturing promises to pay, and escalating sensitive cases to human collectors with full context.
Outbound AI voice calls on behalf of the lender's brand
Segment-based strategies: first contact, repeat contact, broken promise, long-overdue dispute
Real-time, interruptible conversation (full-duplex barge-in)
Hardship detection and payment-plan negotiation
Structured promise-to-pay capture: amount, date, channel
Live transcript of agent replies during the call
11 languages, including English, German, Russian, Kazakh, Arabic, Turkish, Urdu, and Malay
Human escalation for disputes, legal threats, and vulnerable borrowers
Select the Account: The collections team or a schedule picks a borrower from the portfolio, with balance, days past due, and history attached.
Place the Call: The agent calls the borrower, identifies itself as the lender, and confirms it is speaking to the right person.
Run the Segment Strategy: A first reminder stays light; a broken promise is addressed directly; a dispute about penalties is de-escalated and routed.
Agree on Next Steps: The agent offers payment options, captures a promise to pay, or schedules a callback.
Log the Outcome: The transcript, outcome, and any promise to pay are saved for supervisors and follow-up.
Suitable for banks, consumer lenders, microfinance, BNPL, and collection agencies
Runs early-stage reminders and later-stage conversations from one platform
New segments and scripts are added as configuration, not new builds
Multilingual by default for cross-border and multi-ethnic portfolios
Scales with portfolio size and seasonal delinquency spikes
Architecture Overview
Voice Layer: Real-time outbound conversation with streaming speech recognition, synthesis, and barge-in.
Account Context Layer: Balance, days past due, call history, and previous promises loaded before each call.
Dialogue & Strategy Layer: Segment-based strategies, objection handling, hardship and dispute detection.
Outcome Layer: Promise-to-pay capture, callback scheduling, and escalation to human collectors.
Audit & Analytics Layer: Transcripts, outcomes, and reporting by segment, portfolio, and script version.
Infrastructure Layer: Cloud-hosted multi-agent voice platform with per-session access tickets.

Value
Delivering consistent, respectful collection conversations that move borrowers toward payment
The agent opens differently for a first reminder, a broken promise, or a long-overdue dispute.
Borrowers can interrupt, argue, or raise legal threats; the agent stays on script and de-escalates.
Every commitment is captured with an amount and a date, ready for follow-up.
Signals like job loss trigger payment-plan options or a handover to a human collector.
Benchmarks
Built to run high-volume outbound collections across portfolios, languages, and shifts
Supports large daily call lists across early and late delinquency buckets.
One agent switches between 11 languages without separate builds.
Collections runs on the same voice core as Plavno's other agents, so updates ship once.
Reaches borrowers in the evenings and at weekends, outside collector shifts.
Data Protection
Controlled, auditable handling of borrower data and regulated collection conversations
Each call session is authorized with its own short-lived ticket, so access is never shared or reused.
Every call leaves a transcript and outcome that supervisors and compliance teams can review.
Disclosures, wording limits, and escalation triggers are set per portfolio and market, not left to improvisation.
Innovative Experience
AI voice agents for outbound collections, payment reminders, and debt recovery
Delivery Crew
High-performing developers for growing companies

Eugene Katovich
Sales Manager
Plavno builds voice collections agents that call borrowers, handle objections, and secure promises to pay at scale.
Talk to an ExpertCompetitive Ability
Demonstrating how Plavno turns an overdue account into a structured promise to pay
Load the Account
Pull balance, days past due, history, and previous promises.
Call and Verify
Introduce the lender and confirm the right borrower is on the line.
Negotiate or Escalate
Apply the segment strategy, offer options, or hand over to a collector.
Log & Follow Up
Save the transcript, outcome, and promise to pay for follow-up and reporting.
Outbound call automation
Promise-to-pay capture
Callback scheduling
After-hours coverage
High-volume call lists
Multiple portfolios
Delinquency-spike readiness
Shared voice core
Segment-based strategies
Hardship detection
Barge-in handling
Tuning from call outcomes
What lenders get from an AI voice collections agent
Calls run beyond collector shifts, including evenings and weekends.
Routine reminders move to the agent; collectors focus on disputes and complex cases.
Every borrower hears the approved strategy for their segment, every time.
Commitments are logged with amount and date, so follow-up no longer depends on free-text notes.
Leadership sees outcomes by segment, portfolio, and script version.
Tools We Used
Project Estimator
The estimated time to launch the product
Clear vision of functionality you need
15% discount on your first sprint

AI-Powered Tools
Frequently Asked Questions
Find answers to your common concerns
Yes. It offers the options the lender approves and records the agreed amount and date as a promise to pay.
The agent stays calm, does not argue, and routes the case to a human collector with the full transcript.
Yes. The conversation is full-duplex, so the agent stops, listens, and responds like a person would.
Yes. Call outcomes and promises to pay sync to your collections platform or CRM.
Eleven, including English, German, Russian, Kazakh, Arabic, Hebrew, French, Spanish, Turkish, Urdu, and Malay.
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Vitaly Kovalev
Sales Manager

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