Banks, credit unions, insurers, lenders and fintechs handle a steady stream of calls that are both repetitive and sensitive: payments, balances, due dates, lost cards, claims. A voicebot for financial services, or a modern IVR, can resolve a large share of these requests securely, around the clock, and keep your agents for situations that require their expertise.
Voxivra builds these solutions to measure, backed by more than 20 years of telephony and VoIP experience and a strong focus on securing voice traffic and data.
Phone channel challenges in financial services
- High security requirements: any call may involve personal information, account details or card data.
- Heavy authentication: verification questions lengthen calls and frustrate legitimate customers.
- Social engineering fraud: fraudsters target the phone channel, often seen as the weakest link.
- Calendar-driven peaks: month-end, due dates, statements, market events.
- 24/7 expectations: customers want to pay or check their account outside business hours.
- High cost of agent-handled calls for simple transactions.
- Legacy IVR menus built years ago, hard to change and poorly connected to modern systems.
High-value use cases
Secure phone payments
Customers pay a bill or installment on their own. Card numbers are entered on the keypad (DTMF), masked from any agent who may be on the line, and sent directly to the payment processor. No card data ends up in recordings.
Multi-factor authentication (MFA)
Caller ID matching, verification questions and a one-time code work together. When a call is transferred, the authentication already performed by the voicebot is passed to the agent, so customers don’t have to prove who they are twice.
Account self-service
Balance, recent transactions, next due date, status of a loan application or insurance claim.
Payment reminders and early-stage collections
Automated outbound calls remind customers of a due date and offer an immediate payment or arrangement, following the rules that apply to outbound communications. See our call automation service.
Data-driven routing
A data-driven IVR identifies the customer and the reason for the call, then routes it to the right team — fraud, lending, claims, customer service — with context displayed on the agent’s screen.
| Operation | Authentication level | Automation |
|---|---|---|
| General information | None | Full |
| Balance inquiry | Medium | Full |
| Bill payment | High | Full, secure DTMF |
| Card block | High | Qualification, then transfer or self-service |
| Dispute, complex claim | High | Transfer to an agent |
Compliance and data protection
Financial services sit under several layers of requirements. Frameworks that commonly apply include PCI-DSS for card data, Québec’s Law 25 and PIPEDA in Canada for personal information, state privacy and financial regulations in the U.S., the GDPR in Europe, and your industry regulator’s own rules. Your precise obligations depend on your activities and jurisdiction; legal advice and your compliance team’s involvement are essential.
On the technical side, we apply these principles:
- Reduced PCI-DSS scope: isolated DTMF capture, no card data in recordings, transcripts or logs.
- Encryption of signaling (SIP over TLS) and media (SRTP).
- Protection against toll fraud and abuse of SIP trunks.
- Logging and audit trails for every operation the voicebot performs.
- Control over speech engines and hosting, including data residency.
These topics are covered in depth on our VoIP security page.
Integration points
- Billing or account management system: balance lookups, payment posting.
- Payment processor or gateway: tokenization and transaction authorization.
- CRM (Salesforce, Dynamics, HubSpot or in-house): identification, history, automatic call logging.
- Authentication platform: sending and verifying one-time codes.
- Fraud tools: real-time signals.
- Existing telephony and contact center, with context-rich transfers.
Our CRM/ERP integration service covers these connections end to end.
A real-world example
For a financial services company, we deployed an AI voicebot for secure payments with multi-factor authentication and billing and CRM integration. The results: 65% lower costs, handling time down to 4 minutes (divided by 3), 92% customer satisfaction, and 24/7 payments within a PCI-DSS compliant setup. Read the secure payment voicebot case study.
Where to start
Not every operation should be automated first. The best starting points combine high volume, low complexity and data that is already reachable through an API: bill payments, balance inquiries and due-date questions usually qualify. Disputes, hardship cases and complex claims are better handled by agents, with the voicebot qualifying the call and passing on the context. Starting with a narrow, well-measured scope makes it easier to prove value to risk and compliance stakeholders before expanding.
How we work
- Call mapping and identification of operations suited to automation.
- Risk analysis and authentication levels defined with your security and compliance teams.
- Voice flow design and transfer rules.
- Integration and testing in non-production environments.
- Phased rollout and continuous improvement from real call data.