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How a Business and Commercial Bank Kept One Assistant Answering on Almost Every Day It Has Existed

A community bank built around business and commercial banking.

  • 13,932 Questions asked, raw count
  • 752 Days carrying a question, out of 791
  • 26 Months in production, one assistant throughout

About the customer

A community bank in the eastern United States, built around business and commercial banking and operating across several states, runs one AI customer service chatbot on its public website. It is grounded in the bank's own published product pages, rate material and disclosures. Across twenty-six months in production it has been asked 13,932 questions and has carried at least one question on 752 of the 791 days it has been live, which works out at 95.1% of the days it has existed. Agentic actions run on top of every reply, the wording has been revised 52 times, and the estate has stayed at one assistant throughout. The bank shared the deployment anonymously.

  • Industry

    Finance and Banking

  • Use Case

    Customer Support, Knowledge as a Service

  • Teams

    Customer Support, Marketing

Case study

At a glance

IndustryBusiness and commercial banking. A community bank operating across several US states with roughly one hundred and fifty staff
EstateOne assistant, in production continuously for twenty-six months, with no second assistant built since
ObjectiveLet a visitor get a correct answer about a specific account or rate without waiting for the branch to open
Key use cases Account comparisons, eligibility, minimum balances, transaction limits, fees and terms as published
SolutionCustomGPT.ai. One grounded assistant on the public site, with agentic actions enabled on every reply
CorpusThe bank's own published product pages, rate material and disclosures, taken in as the bank already maintains them
OwnerThe bank's marketing team, which owns the website and has revised the assistant's answering 52 times
SharedAnonymously, at the customer's request

The challenge

A contractor compares business checking accounts late at night, because that is when the paperwork gets done. A relationship manager answers the same question about minimum balances and transaction limits a dozen times a week, for prospects who will not become customers for another month. A marketing lead owns the website and knows the answers are all on it somewhere, spread across product pages, rate sheets and disclosures.

The bank publishes everything it needs to. The material exists, it is accurate, and it is maintained. What it does not do is answer a question, because a rate sheet is a document rather than a reply, and a visitor with one specific question about one specific account has to find it first. The gap was never a shortage of published material. It was the distance between a document and an answer.

The solution

One assistant on the public website, available to anyone who visits, with no sign-in and no account required, because the visitor with the question is often not yet a customer.

Scoped to what the bank publishes. The corpus is the bank’s own product pages, rate material and disclosures, which makes the boundary of the answer the same as the boundary of the commitment. Not the open web, not a model’s general knowledge of banking, and not an older version of a rate sheet.

Actions on top of answers. Agentic actions are switched on, so a reply can move a visitor to the right application or the right page rather than only describing one.

One assistant, unchanged. The same deployment has served the whole period, through two years of ordinary product and rate revision, with the wording kept current by 52 revisions that each landed on a deployment already in service.

What it did not take is worth listing. No core banking integration, because the assistant answers from published material and touches no account system. No rewrite of the website, because product pages and rate sheets went in as the bank already maintains them. No second team, because the deployment has not needed a rebuild and the count of assistants has stayed at one.

The capability that decided it

Agentic actions run on top of every reply, so the assistant can move a visitor to the right application, the right product page or the right branch rather than leaving them to search again. For a bank this is the difference between a well-written paragraph and a started application late at night.

An assistant that only replies is a better-phrased version of the FAQ page, and the bank already had one of those on the website. Page awareness and lead capture came built in, with no second system and no integration project behind them, which is why the capability arrived with the deployment rather than as a project of its own.

The requirement underneath it is a banking one. What the bank tells a visitor about a rate, a fee or an eligibility rule is a public statement about a regulated product, so the answer has to come from published material and then has to be able to do something useful with the visitor’s attention while it still has it.

The results

Read the 752 first. A launch spike shows up as a busy fortnight and a long tail of silence, and this is the opposite shape. The assistant has been asked something on 95.1% of the days it has existed, across twenty-six months, two rate cycles and the ordinary revision of a bank’s published material.

The volume is modest by design, at 13,932 questions, because this is one assistant on one website rather than an estate. Pilots end. This one is still being asked something on almost every day it has been live, and demand that survives that long has stopped being curiosity and become a habit the bank’s customers have formed.

One limit is worth stating plainly. No answer-quality classification exists on this deployment, so no answer rate appears anywhere on this page. The day counts describe how often someone asked, not how well any particular reply landed, and the two should not be read as the same thing. Deflection, satisfaction and staff hours saved are not measured here either.

Why it worked

Grounding is the product. The answer boundary is the bank’s own published material, which is the only boundary a regulated institution can defend in public.

Two actions came built in. Page awareness and lead capture run on every answer, with no second system and no integration project behind them.

Marketing kept it current. There have been 52 revisions to how the assistant answers across twenty-six months, every one landing on the deployment already in service.

The estate stayed at one. No second assistant has been built, which is the clearest evidence available that the deployment has not needed rescuing.

MeasureTo date
Time in production26 months, one assistant
Questions asked, raw count13,932
Days carrying a question752 of 791
Share of days in production carrying a question95.1%
Revisions to how the assistant answers52
Assistants built sinceNone. The count has stayed at one

Figures from CustomGPT.ai product usage records. Shared anonymously at the customer’s request.

Customer stories

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Frequently asked questions

What is an AI customer service chatbot for a business banking website?

It is an assistant on the bank’s public site that answers plain-language questions about business accounts, rates, eligibility, minimum balances, transaction limits, fees and terms, drawing only on what the bank has published. Here there is one of them, serving anyone who visits.

What material does it answer from?

The bank’s own published product pages, rate material and disclosures. Not the open web, not a model’s general knowledge of banking, and not an older version of a rate sheet. That boundary is the point, because what the bank says in public about a regulated product has to match what it has committed to in writing.

Does it touch customer accounts?

No. There is no core banking integration. The assistant serves an anonymous public visitor, holds no customer data and reaches no account system, so it had to be useful inside that limit rather than around it.

Does a visitor need to sign in?

No. It sits on the public website with no sign-in and no account required, which is deliberate, since the visitor comparing business checking accounts at eleven at night is often not a customer yet.

What do the agentic actions do?

They let a reply do something rather than only say something. Page awareness and lead capture run on top of the answer, so the assistant can move a visitor to the right application, the right product page or the right branch instead of leaving them to search again.

Did the bank have to rewrite its website first?

No. Product pages, rate sheets and disclosures went in as the bank already maintains them. A second copy shaped for the assistant would have been a second thing to keep current, and the one that went stale would have been the one answering.

What happens when rates or products change?

The deployment carries on. Rates change, products change and disclosures change, and the assistant has run through two rate cycles and the ordinary revision of a bank’s published material without being rebuilt.

How much of the time is it actually used?

It has carried at least one question on 752 of the 791 days it has been live, which is 95.1% of the days it has existed. That is a measure of how often someone asked something, across twenty-six months in service.

How many assistants does the bank run?

One, throughout. Nothing else has been created on the account, and the count has stayed at one for the whole period, which is the clearest available evidence that the deployment has not needed rescuing or replacing.

Who keeps the wording current?

The marketing team that owns the website. There have been 52 revisions to how the assistant answers across twenty-six months, each landing on the deployment already in service rather than requiring a rebuild.

Does this page publish an answer rate?

No. No answer-quality classification exists on this deployment, so there is no answer rate to publish and none appears anywhere here. The figures on this page describe volume, days in service, revisions and configuration, which is what the record actually holds.

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