Chatbot for Banks
Bland AI’s self-hosted chatbot for banks gives customers instant account access while keeping data on your infrastructure. Give your customers 24/7 answerability without exposing financial data to third-party AI providers.
Why Bland’s Chatbot for Banks?
For CIOs: ownership and control
We provide self-hosted models so your infrastructure holds customer data and you define access policies. That approach reduces exposure to third parties and makes it easier to demonstrate data locality for audits.
For Compliance: auditability and policy enforcement
Conversations include regulatory audit trails and policy checkpoints so interactions can be reviewed and retained per governance rules. These built-in controls shorten audit cycles and give your compliance team clear evidence without extra engineering work.
For Customer Experience: fast, consistent answers
Customers get instant balance checks, statement requests, and fraud notifications without waiting for business hours. The consistent responses cut down repeat contacts and improve first contact resolution metrics.
For Operations: reduce cost and manual work
Routing routine requests to the chatbot frees agents to handle complex cases that drive revenue. That shift lowers average handling costs and gives operations clearer capacity for higher-value tasks.
Bank-Grade Security and Compliance
Self-hosted protection and data residency
Our architecture keeps model inference and customer content inside your network so no customer content leaves your infrastructure. That design makes it straightforward to meet multi-region residency requirements and keeps control with your security team.
Certifications and audit trails
We are built to support SOC2 Type II readiness and GDPR controls with transaction logs and conversational audit trails. Those artifacts make audits faster and provide cleaner evidence for regulators.
Encryption and secure integrations
All connections are encrypted in transit and at rest and APIs use mutual TLS and tokenized credentials. Core banking integrations follow least privilege access so only necessary data is available for each interaction.
No OpenAI or Anthropic exposure
We do not route customer financial content through OpenAI or Anthropic. That means predictable control over model behavior and no third-party AI access to sensitive banking conversations.
Data Retention and Deletion Policies
The platform offers configurable retention windows and deletion controls so you can meet regulatory retention requirements. Administrators can set automated purging rules and produce retention reports for audits.
Core banking use cases and integrations
For CIOs: ownership and control
Customers can check balances, view transaction history, request statements, and activate cards via chat. These tasks are executed with real-time core banking calls so answers are accurate and auditable.
Fraud alerts and verification
The chatbot will notify customers of suspicious activity, ask verification questions, and flag items to fraud systems when needed. That flow reduces the time between alert and response and ensures actions are logged for review.
Payments, transfers, and confirmations
Support for payment status, bill pay help, and transfers integrates with payment processors to confirm execution. The bot enforces transaction limits and triggers escalation when policies require human approval.
CRM, fraud systems, and core banking integration
We connect to CRM platforms, fraud engines, and core banking systems using secure connectors so context flows into every interaction. That connection keeps agent handoffs clean and preserves a single source of truth for customer records.
Operational gains and measurable ROI
Before and after: service desk example
Before: customers wait for business hours for routine balance checks and statement requests. After: a self-hosted assistant answers those questions instantly, reducing agent load and letting staff focus on high-value interactions.
Quantifiable outcomes and time to value
Deployments typically go live in weeks so you start capturing value quickly. This short time to live helps finance and operations teams see measurable reductions in ticket volumes and handling time.
Day in the life after deployment
Frontline agents see fewer repeated tasks and can escalate only the most complex cases. Operations teams get clearer throughput data and compliance teams receive structured logs for reporting and trend analysis.
Common KPIs to track
Track first contact resolution, average handling time, ticket volume, and fraud response time to measure impact. Those KPIs show direct operational savings and support a business case for broader rollout.
Deploy, Integrate, and Support
Fast implementation and banking-expert support
We deploy on your infrastructure and integrate with your core systems using secure connectors. Our banking-expert engineers partner with your team to go live in weeks and document compliance checkpoints along the way.
Multi-channel delivery
Deliver consistent service across web chat, mobile app, SMS, and voice so customers interact where they prefer. Each channel enforces the same security controls and audit trails to keep governance consistent.
Human-in-loop and escalation controls
When conversations require human attention the system routes relevant context and transcripts to agents. That reduces transfer friction and keeps sensitive actions inside approved escalation paths.
Ongoing support and SLA options
Choose from managed support or a co-managed model with clear SLAs for uptime and incident response. Regular reviews help tune conversational pathways and maintain compliance standards.
Frequently asked questions about Chatbot for Banks
What makes this a secure Chatbot for Banks solution?
This chatbot for banks is designed to run on your infrastructure so customer content never leaves your environment. The platform supports SOC2 Type II readiness, encryption at rest and in transit, and configurable audit trails so your security team can validate controls and evidence for audits.
Do you send data to third-party AI providers like OpenAI?
No. This product prevents customer data from being routed to third-party AI providers such as OpenAI or Anthropic. All model inference and data handling occurs within your controlled environment to meet data residency and risk policies.
What compliance frameworks does the platform support?
The platform is built with GDPR controls, SOC2 Type II readiness, and PCI DSS considerations in mind so your compliance team can map controls. We provide logging, retention options, and templates to simplify audits and regulatory reviews.
Can the chatbot integrate with our core banking system?
Yes, the chatbot integrates with core banking systems using secure, least-privilege connectors and real-time APIs. Integration allows accurate balance lookups and transaction verification while preserving existing access controls and logging for compliance.
How long does deployment take for a banking pilot?
Pilot deployments commonly complete in a matter of weeks depending on integration scope and approvals. Our banking-expert team provides a clear plan, integration checklist, and compliance milestones to accelerate time to value while maintaining controls.
How do you ensure conversational accuracy and handoff?
We use banking-trained conversational pathways and human-in-loop rules to keep high accuracy for critical flows. When confidence is low the system routes context to agents with a clear transcript and suggested next steps to speed resolution.