Fintech & Banking · AI Chatbot Development

Banking Chatbot Development

A chatbot able to check a live balance and lock a real card, with a clear limit on what it may do on its own.

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How we work

A customer who asks a banking chatbot for their balance needs the real number from the core banking system at that moment. A cached figure from an overnight batch job is already wrong once an afternoon purchase clears. That real-time requirement runs through nearly everything useful a banking assistant does, since a spending question, a pending transaction lookup and a fraud alert confirmation all depend on the bot reading the same live data a teller would.

Authority is the harder design problem. Checking a balance is low risk, but moving money or locking a card is not, so those actions need step-up authentication inside the conversation itself, a one-time code or biometric confirmation, before the bot executes anything, and it needs a hard boundary around guidance that reads as advice a licensed advisor should give instead. A dispute over an unrecognized transaction adds a regulatory clock: Regulation E sets specific timelines for how a bank has to acknowledge and investigate a disputed electronic transaction, and the chatbot's intake needs to log that dispute correctly from the first message rather than losing time to a slow handoff.

We build banking chatbots around real-time core banking data, step-up authentication for anything that moves money or changes account access, and a scoped boundary that keeps the bot answering account questions and escalating financial guidance, disputes, and fraud claims to a person with full context attached.

Requirements

What fintech & banking teams need from it

Real-time data from the core banking system, not a batch copy
Balance, pending transactions, and recent activity need to reflect the live core banking system at the moment of the question, since a cached or overnight batch figure creates a mismatch the customer will notice the moment they compare it to a receipt.
Step-up authentication before any money movement
Checking a balance is low risk, but a transfer, a card lock, or a limit change needs a stronger authentication step inside the conversation itself before it executes, rather than trusting the same session-level login that got the customer into the chat.
A hard boundary against investment or financial advice
A chatbot answering a question about where to move savings or how to handle a loan decision risks giving guidance only a licensed advisor should provide, so the bot needs a defined scope that routes those questions elsewhere instead of answering them directly.
Dispute intake that respects Regulation E timelines
An unrecognized transaction dispute starts a regulatory clock under Regulation E for acknowledgment and investigation, so the chatbot's intake needs to log the dispute correctly and immediately rather than losing time in a slow handoff to a human queue.
Fraud alert conversations that can act, not just inform
Confirming a suspicious transaction with a customer is only half the job; the conversation needs a direct path to lock the card or flag the transaction the moment the customer confirms it wasn't them, rather than ending in advice to call a different number.

Scope

Features we build

Real-time balance and transaction lookup
Account balance, pending transactions, and recent activity pull live from the core banking system, keeping the answer consistent with what the customer would see logging in directly.
Step-up authentication for sensitive actions
Transfers, card locks, and limit changes require an additional authentication step inside the conversation, such as a one-time code, before the action executes.
Card lock, unlock, and replacement requests
A lost or suspicious card can be locked immediately from the conversation, with a replacement request initiated in the same flow rather than requiring a separate call.
Fraud alert confirmation
A flagged transaction can be confirmed or disputed directly in chat, with a confirmed fraud response triggering an immediate card lock rather than just logging the customer's answer for later review.
Transaction dispute intake
Disputes over an unrecognized charge are captured and logged into the bank's case management system immediately, starting the required regulatory clock rather than waiting for a human agent to open a ticket.
Spending categorization insights
Recent spending breaks down by category in conversation, answering a question like how much was spent on dining this month without requiring the customer to open a separate budgeting tool.
Scoped conversation boundary
The bot is explicitly scoped away from investment guidance or credit decisions, redirecting those questions to the right team rather than generating an answer that could be mistaken for financial advice.
Escalation to a human banker
Anything outside the bot's defined scope, a complex dispute, a hardship request, a question needing judgment, hands off to a human agent with the full conversation history attached.

Compliance and standards

Regulation E (dispute intake timelines)
GLBA financial privacy safeguards
SOC 2

Systems it connects to

FIS
Fiserv
Jack Henry
Plaid
Twilio
core banking APIs

Build vs buy

When to build it and when to buy it

Kasisto and Glia cover standard balance inquiries, FAQ deflection, and basic account servicing well when a bank or credit union wants a conversational layer on top of its existing digital banking platform quickly, and their banking-specific compliance groundwork is a real head start over building that layer from scratch.

Custom development is worth it when the chatbot needs deep integration with a specific core banking or case management system those platforms don't already support, when product lines like business banking need conversation flows those vendors don't model, or when step-up authentication must match an identity system the bank already runs internally.

Technology

Stack we usually choose

FAQ

Frequently asked questions

Can a banking chatbot show real-time account balances and transactions?

Yes, balance and transaction data pull live from the core banking system at the moment of the question, rather than from a cached or overnight batch copy, so the figure matches what the customer would see logging into online banking directly.

How does the chatbot handle a request to transfer money or lock a card?

Actions that move money or change account access require a step-up authentication step inside the conversation, such as a one-time code, before executing, which keeps the bar higher for a sensitive action than for a simple balance check.

Can the chatbot confirm a suspected fraud alert with the customer?

Yes, a flagged transaction can be confirmed or disputed directly in the conversation, and confirming it as fraud triggers an immediate card lock rather than only logging the response for a human to act on later.

Does a chatbot dispute intake satisfy Regulation E timing requirements?

The intake is built to log a disputed transaction into the bank's case management system immediately, starting the acknowledgment and investigation clock Regulation E requires, rather than waiting on a slower handoff to a human queue that could put the bank behind on its timeline.

Can the chatbot give investment or financial advice?

No, it's deliberately scoped away from that. Questions that resemble investment guidance or credit decisions route to the right team instead of generating an answer, since that kind of guidance has to come from a licensed advisor.

Should we use Kasisto or build a custom banking chatbot?

Kasisto and Glia are strong choices for standard balance inquiries and FAQ deflection layered onto an existing digital banking platform. Build custom when the bot needs deep integration with your specific core banking or case management system, or conversation flows for a product line those vendors don't already support.