FINANCE & BANKING
AI Voice Agents for Banks, Lenders and Financial Institutions
Banks, lenders and financial institutions
OnDial builds AI voice agents for banks and lenders that answer and place calls, complete routine requests, and transfer to your team with the full conversation attached. It is designed for AI voice agents for financial services workflows such as balance queries, EMI reminders, loan intake, and fraud reporting. Every conversation follows the disclosures and escalation rules you define.
24/7
Answer and place calls
Live
Human handoff
Full
Transcript attached
Yours
Disclosures and escalation
Definition
What Is Conversational AI for Financial Services?
Conversational AI for banking is software that speaks with customers on a call, understands what they ask, and completes the task, such as a balance check, a loan application, or an EMI reminder. It reads your systems during the call, follows your scripts where wording matters, and logs each step for review. When a case needs judgment, it hands the call to a person.
Comparison
How Is It Different from a Traditional IVR?
A menu-based IVR routes callers through keypad or fixed voice options, which works well for simple and predictable requests. Many modern IVRs can also complete some tasks, so the real difference is how the caller asks. Conversational AI accepts the request in the caller's own words, asks follow-up questions, and handles a change of topic, which shortens multi-step calls.
Who it's for
AI Voice Agents for Every Financial Institution
Use cases
Financial Services Use Cases
Security
Identity Verification, Security and Compliance
Before a financial institution evaluates a vendor, it needs evidence of how identity, consent, and data are handled. These are the controls the workflow is built around. Methods, retention, and deployment options are confirmed against the product documentation for each deployment.
Identity before account details
Account details are shared only after the caller is verified, using the method your team configures.
Disclosures in your words
Required disclosures are read exactly as you write them.
Calling rules you set
Calling hours and escalation triggers are set by your compliance team.
A person can take over
The call can move to a human at any point, by sentiment, keyword, or rule.
A record of the call
Actions, transcripts, and transfer reasons are kept for review. Retention is confirmed for the deployment.
Enterprise Readiness
Enterprise AI Voice AgentsBuilt for Control
OnDial is enterprise voice AI for teams that need to decide what the agent can and cannot do. It works as an AI voice agent for enterprises.
HIPAA
Protected health information on every call
GDPR
Privacy-by-design for EU data subjects
PCI DSS
Secure handling of payment conversations
SOC 2
Audited security, availability & confidentiality
ISO Compliance & Security
Iso certified security and compliance
Comparison
How OnDial Compares with IVR and Human Teams
Banking call center automation works best when each channel does what it does well. This table shows where OnDial fits next to a menu-based IVR and a human-only team.
| Dimension | Traditional IVR | Human team | OnDial |
|---|---|---|---|
| Request handling | Menu options, some task completion | Full judgment and empathy | Natural language requests, routine tasks completed, complex cases transferred |
| Availability | Around the clock | Staffed hours | Around the clock |
| Wait time | No queue, but menu navigation | Queues at peak times | No queue for calls the agent handles |
| Languages | Limited, fixed prompts | Depends on hiring | Multiple languages and accents |
| Peak volume | Handles volume, limited resolution | Needs extra staff | Scales with concurrent calls |
| Cost per resolved call | Low platform cost, lower resolution | Highest per call | Depends on volume and workflow |
| Reporting | Basic call counts | Manual notes | Transcripts and structured outcomes |
Results depend on the deployed workflow, integrations, and call mix. Cost and capacity figures are omitted until they are supported by verified delivery data.
Setup
Deployment in Four Steps
1
Scope
Operations, compliance, and IT agree the first workflow and the success measures.
2
Build
The OnDial team prepares a working agent and integrations in a test environment.
3
Test
Your compliance and operations teams review call logs and sign off.
4
Go live
OnDial and operations move traffic in phases, with a live dashboard.
Integrations
Systems the Agent Uses on a Call
OnDial connects to the systems the agent needs during a call. Named platforms are confirmed for each deployment. Custom systems are connected where an API is available.
- Core banking
- Loan origination
- CRM
- Telephony
Languages
Multilingual and omnichannel AI
Multilingual AI voice agents let customers speak in the language they are most comfortable with. OnDial supports Indian and global languages, including Hindi and Hinglish. The current list for a market is confirmed before launch. A branded voice can keep one identity across calls when that option is part of the deployment.
Operations
Analytics and Live Human Handoff
Operations and compliance teams need to see what the agent said and what happened next. OnDial provides call transcripts, outcome reports and quality review tools. Findings feed back into scripts and escalation rules.
When a call moves to a person, the agent screen shows the intent, the verification result, the actions taken and the transcript. Customers do not repeat their story. You set the transfer triggers, such as sentiment, keywords, failed attempts or compliance boundaries.
Product proof
Hear OnDial in Action
The conversations below are illustrative examples, not recordings. They show the shape of a balance inquiry, an EMI reminder, loan intake, and claims intake.
KR
Kavya Rao
+91 98450 22110
Scenario
Outbound call placedWaiting
AI agent dials the customer from your campaign list. When they answer, the personalised opener plays instantly.
Speech-to-text + NLPWaiting
Transcribes speech in real time, detects language, and extracts meaning from the conversation.
IntentEntitySentimentLanguageUrgency
Tool routingWaiting
Based on detected intent, the agent selects and calls the right tools simultaneously.
AI response generatedWaiting
Composes a natural, accurate reply using tool results - spoken back to the caller instantly.
Actions takenWaiting
All downstream actions fire automatically - no human needed.
Call logged + analyticsWaiting
Full transcript, sentiment score, and outcome recorded automatically in your dashboard.
Case study
Customer Results
Finance
NFRegional NBFCVerified
Voice AI For Debt Collection: Increasing Early Stage EMI Recovery By 40 Percent
“Replaced manual outbound dialing with an autonomous conversational architecture to contact one hundred thousand delinquent accounts daily and secure immediate payments.”
40% IncreaseEarly EMI Recovery
100,000 CallsDaily Outbound Volume
Collections OperationsChief collections officer
Finance
RBNational Retail BankVerified
Automated Payment Alerts and Loan Reminders: 28% Drop in 30-Day Delinquencies
“A national retail bank replaced manual outbound calling with intelligent voice agents to reclaim 400 administrative hours weekly.”
28% reduction30-Day Delinquencies
400 hours/weekStaff Time Recovered
Collections & Risk TeamHead of retail collections
Pay only for what you automate
Estimated in USD for United States
This pricing scales as your automations do. No surprises – just usage.
Use the slider to preview your monthly cost. Custom pricing available.
0 minutes
100k+ minutes
Concurrent channels
$4.90/mo each
Phone numbers
$4.90/mo each
Workflows
India-Specific Financial Workflows
An AI voice bot for banking in India has to handle many languages, high call volumes, and strict customer-conduct expectations. These are the workflows lenders and banks ask for most.
EMI reminders
EMI reminders with the payment link sent on WhatsApp
Loan collections
Loan collections with respectful scripts and calling hour controls
NBFCs
AI voice agent for NBFCs: onboarding, KYC follow ups and loan status
Servicing and fraud reporting
Banking servicing and fraud reporting in the customer's language
RBI guidelines, TRAI DLT rules, and the DPDP Act 2023 apply depending on the workflow. Your compliance team defines the call rules, and the agent follows them. This page does not claim regulator approval or a certification.
Get started free
Book a demo
Tell us your call volumes and the first workflow you want to automate. We will show a working sample around your use case, so you can judge the conversation before you commit.
500+ businesses trust OnDial
Everything you need to know about AI voice agents for Finance & banking
Answers to the most common questions about using OnDial AI voice agents in finance & banking.
It is software that talks with customers on a call and completes tasks such as balance checks, loan intake, and reminders. It reads your systems during the call and hands complex cases to a person.