OnDial deploys compliant AI voice agents for financial services that handle collections, payment reminders, loan servicing, and inbound banking support across 100+ languages, with every call logged, scored, and synced to your core systems.
Overview
An AI voice agent for finance and lending is an autonomous conversational system that places and receives phone calls on behalf of a bank, lender, or collections team, understands what the customer says, and completes the task without a human agent on the line.
The agent connects to your telephony layer, loan management system, and CRM. When a call starts, it authenticates the customer, retrieves live account data, and follows your conversation policy. Outcomes are written back automatically, and calls needing human judgement transfer with full context intact.
Retail banks use it for AI banking customer support. Lenders and NBFCs use it across pre-disbursal verification, EMI reminders, and delinquency management. Collections agencies and fintech operators use voice AI to keep recovery costs proportionate to ticket size.
The agent works every hour your compliance window allows, handles thousands of concurrent conversations, and never varies from approved script logic. It records consent, disclosures, and dispositions on every call, giving compliance teams an auditable trail.
Challenge
Collections and servicing require hundreds of thousands of early-stage reminder calls a month, most ending in no answer or a thirty-second exchange a human should never have been assigned to. Contact windows are legally narrow, agent attrition is chronic, manual disposition entry degrades data quality, and every unscripted sentence is a potential regulatory exposure.
Comparison
| Focus | Traditional process | OnDial AI Voice Agents |
|---|---|---|
| Capacity | Dialling capacity capped by seats and shifts | Thousands of concurrent calls, no seat limit |
| Coverage | Coverage only during staffed hours | Full coverage of every permitted contact window |
| Script discipline | Script drift across agents and vendors | Identical approved language on every call |
| Disposition entry | Manual disposition entry, inconsistent codes | Structured outcomes written automatically |
| Quality assurance | Quality assurance on a sample of calls | Full transcript and audit log on all calls |
| Cost at scale | Recovery cost rises with portfolio size | Cost scales with usage, not headcount |
| Languages | Language coverage limited by local hiring | 100+ languages with automatic detection |
Solution
A call trigger arrives from your loan management system or campaign scheduler, the AI voice agent runs the approved conversation policy, and connected APIs retrieve or write account data live during the exchange. The conversation and the data update happen in the same moment.
Process
Your LMS, dialler, or helpdesk fires a call task, or a customer dials your support line.
The agent confirms the customer using approved authentication questions before disclosing account detail.
Establishes whether the caller wants to pay, dispute, request a plan, or ask a servicing question.
Pulls balance, due date, arrears bucket, and last payment through your API in real time.
Takes a promise to pay, sends a secure payment link, books a callback, or applies an approved hardship option.
Disposition, consent flag, promise date, and sentiment pushed to CRM and collections platform.
The customer receives SMS, WhatsApp, or email confirmation with agreed terms.
Transcript, call summary, and compliance record filed for audit and analytics.
Features
Regulated voice automation with compliance guardrails and live LMS sync.
Capabilities
Beyond features - behaviours that matter for any buyer evaluating AI debt collection software.
Benefits
Industries
Conversation policy differs by segment because regulatory obligations differ by segment.
Conversation
Call initiated from LMS, dialler, or customer dialling support.
Mandatory disclosure played per your policy.
Customer authenticated before account detail disclosed.
Pay, dispute, plan request, or servicing question identified.
Balance, due date, and arrears pulled through API.
Promise to pay, payment link, or approved hardship option applied.
Opt-out requests captured and honoured in the moment.
Disposition, consent flag, and promise date written to systems of record.
Transcript, summary, and compliance record filed - or escalation to human agent.
Integrations
Standard connectors cover most lenders and agencies. Enterprise APIs cover proprietary core systems.
Security
Every conversation, transcript, and recording is governed by AI-specific controls covering retention, redaction, and access.
Languages
Automatic language detection on connect, mid-conversation switching while holding intent and context, and 99.4% transcription accuracy across supported languages.
Deployment
Portfolio review, call type inventory, compliance requirements, and system access mapping.
Conversation policy build, voice selection, disclosure scripting, and integration setup.
Live calls on a limited segment with human review of every transcript.
Phased volume ramp with monitoring, followed by ongoing optimisation cycles.
Outcomes
Comparison
| Capability | Human agent | Traditional IVR | OnDial |
|---|---|---|---|
| Natural open conversation | Yes | No | Yes |
| Concurrent call capacity | Limited by seats | High | High |
| Live account data retrieval | Manual lookup | Limited | Automatic mid-call |
| Negotiation within policy | Yes | No | Yes, within set boundaries |
| Script and disclosure consistency | Variable | Fixed | Consistent and configurable |
| Full transcript and audit trail | Sampled | Partial | Every call |
| Language coverage | Hiring dependent | Limited | 100+ languages |
| Cost behaviour at scale | Rises with volume | Low but ineffective | Usage based |
Pricing
Usage-based and enterprise tiers with implementation and compliance configuration as services.
Single-portfolio pilots and mid-market lenders, priced on call volume with standard integrations included.
Multi-portfolio, multi-language, and multi-geography deployments with dedicated infrastructure and named account management.
Private deployment, bespoke integrations with proprietary core systems, or contractual terms driven by your regulator.
Straight answers on compliance, hardship handling, and integrations.
An autonomous system that places and answers collection calls, verifies the borrower, discusses the outstanding amount, captures a promise to pay or payment, and records the outcome in your collections platform without a human agent on the line.
Get Started
Start with the engagement that matches where you are in the evaluation.