Agentic AI in Banking

A chatbot answers questions. An agentic AI agent authenticates the account holder, checks a live system of record, and completes the request, whether that’s blocking a lost card, starting a fraud dispute, or setting up a payment plan. Quiq’s AI agent for banking connects directly to account data so it can take action rather than just describe options, then hands off to a human with full context if the request needs judgment a system can’t provide. This distinction matters most in banking, where a “helpful” answer that turns out to be wrong carries real compliance and trust consequences. Southern Credit Union used this approach to resolve routine after-hours member inquiries automatically while routing everything else to a human agent with the details already captured.

When fraud monitoring flags a transaction, Quiq’s AI agent reaches out to confirm it with the account holder and opens a dispute automatically if it’s not recognized, cutting the delay between detection and action. Every response the AI gives is checked against Verified Intelligence before it’s sent, so account balances, transaction details, and policy statements are grounded in your actual systems rather than generated from a best guess. That verification step matters specifically for fraud conversations, since a wrong answer at that moment can cost a customer money or trust. The interaction is also logged to a full audit trail, so compliance teams can review exactly what the AI confirmed and when.

Yes. Quiq’s AI agent authenticates the account holder before it will discuss or act on account details, the same standard a phone rep would apply, and only then pulls from your live servicing systems to answer balance, transaction, or card questions. Sensitive data stays protected through encryption in transit and at rest, and Quiq’s stateless architecture doesn’t retain conversation data for model training. Quiq is SOC 2 Type II, GDPR, and CCPA compliant, with US and EU data hosting available for institutions with residency requirements. For a regulated credit union, having every interaction automatically logged and synced to a system of record like Salesforce was, in their words, not a nice-to-have but the reason the model was viable at all, as Southern Credit Union found when they moved member conversations to Quiq. Full detail is in Quiq’s Security Overview.

Every interaction runs on deterministic guardrails built around KYC and AML requirements, so the AI agent won’t complete an action, like servicing an account or processing a dispute, without the authentication and verification steps banks are required to enforce. Quiq’s Verified Intelligence cross-references each AI response against your actual account data and policies before it reaches the customer, and every decision is logged to an audit trail your compliance team can pull on demand. This differs from a generic chatbot layered on top of existing workflows: the guardrails are built into how the AI reasons, not bolted on after the fact. For regulated institutions, that auditable record is often the deciding factor in whether AI-assisted servicing is viable at all, which is exactly what led Southern Credit Union to build their support model around a fully logged, Salesforce-synced record of every member interaction.

Quiq’s AI agent checks balances, reviews transactions, blocks a lost card, starts a fraud dispute, and sets up a payment plan, all without the account holder calling the branch or waiting for a human. It also handles proactive outreach: sending a fraud alert, a payment reminder, or a product recommendation before the customer has to ask. This is the core difference between agentic AI and deflection-style bots that can only explain a process. Based on results from a leading banking platform, Quiq’s AI agents resolve 60% of requests without human involvement, with the rest routing to a banker who receives full conversation context instead of starting from scratch.

Based on results from a leading banking platform using Quiq, AI agents resolve 60% of account holder requests without human involvement, covering balance checks, card servicing, fraud confirmation, and payment reminders. The remaining volume, typically disputes and hardship cases that need judgment, routes to a banker with full context intact, so members don’t repeat themselves. Results vary by institution and use case: Southern Credit Union used Quiq’s AI agent to close the gap on routine and after-hours inquiries which eliminated their morning backlog of voicemails.