Answer product and process questions without straying into advice
Customers want to know what they need to apply, how long it takes, and what a product actually does. Those are documented facts, not recommendations.
No credit card. Every answer carries its source.
What a provider actually gets asked
Both columns matter. The right-hand one is what a reader is really checking for, so it is on the page rather than in a footnote.
Answered from your own pages
The reply is the answer, with a link to the page it came from.
- “What do I need to open an account?”
- “How long does an application take?”
- “What are the fees on this product?”
- “What ID counts as proof of address?”
- “Is my money protected if you fail?”
Handed to a person
Declined plainly, then routed with the whole conversation attached.
- “Which of these should I choose?”
- “Why was my application declined?”
Each of these arrives with the whole conversation attached, so whoever picks it up starts from what the customer already said rather than from a one-line message.
Every answer has to be defensible
In a regulated environment the cost of a wrong answer is not an unhappy customer, it is a complaint file. That makes teams reluctant to automate anything — so the phone lines carry questions that are entirely factual and entirely published.
- Call volume is dominated by eligibility and documentation questions
- Teams avoid automation because a wrong answer carries real consequence
- Published terms are thorough and customers still ring to ask what is in them
- There is no record of which questions the website fails to answer
You have already written most of it
Point the crawler at these four and the assistant has what it needs. There is nothing to re-author, and nothing to keep in sync afterwards.
- 01
Product pages and terms
Rates, fees and features exactly as published.
- 02
Application requirements
Documents, eligibility, timescales.
- 03
Regulatory and protection pages
The statements you are already required to publish.
- 04
Help centre articles
The process questions your team answers by phone.
Factual, published, and cited
Eligibility criteria, required documents, processing times, how a product works, what a fee covers. The bot answers these from your own published material and links the page — which is exactly the audit trail a regulated environment wants.
- Every answer has a source
- The reply carries a link to the page it came from, so it can be checked.
- Cannot exceed your published terms
- It has no material other than what you indexed, so it cannot invent a rate or a criterion.
- Refuses rather than approximates
- Outside its material it declines and routes to a person.
- Conversations are logged
- Every exchange is recorded and reviewable rather than lost on a call.
The line at personal recommendation
A question about which product suits an individual's circumstances is advice, and the bot should not answer it. Because it draws only on published product information rather than reasoning about a customer's situation, the natural response to 'which should I choose' is a refusal and a handover.
Review what was actually said
Conversations are stored in full, so a compliance review reads what the assistant told customers rather than sampling recorded calls. The content-gap list doubles as a record of what customers asked that your published material did not cover.
Documented facts only
Rates and fees are quoted from the page, never inferred.
Every answer is checkable
A citation is what makes a compliance answer defensible later.
It never recommends
“Which should I choose” is a person's question and stays one.
A record of what was said
Conversations are stored in full and can be reviewed line by line.
Information is not advice, and the difference is the whole design
The assistant states what your published material says and links it. It does not compare products for a customer, assess suitability, or explain a decision about an individual — those are regulated acts, and the correct behaviour is a refusal and a handover, not a careful paraphrase.
- Product facts: answered, quoted from the page, cited
- Personal recommendation: refused and routed to a person
- Decisions about an individual are outside what it can see
- Full transcripts are retained so answers can be audited
The practical control is coverage. If a fact is not on a page you publish, the assistant refuses rather than approximating — which means your published material is the thing that decides what it is able to say.
“What do I need to open an account?”
Quoted from your page ↗“Which of these should I choose?”
Refused, then a personWhat compliance asks about this
Short answers. If yours is not here, the assistant on this page will try it — and tell you honestly if it cannot.
Will it give financial advice?
It answers from your published product and process material and refuses outside it, so it will explain how a product works but not recommend one for someone's circumstances. We would advise not indexing material that reads as personal recommendation, so that boundary stays unambiguous.
What compliance certifications does Matter Chat hold?
Rather than list claims on a marketing page, ask us directly for our current security and compliance position before you deploy in a regulated context. We would rather answer that specifically than have you infer coverage from a badge.
Can we review what the assistant told customers?
Yes. Conversations are logged in full and reviewable, and every answer carries the source it was drawn from.
Keep reading
All solutionsFrom the blog
All posts- BuildingLocal services: hours, areas, and the lies maps createFor local service businesses, ground AI support on your published hours and service areas — not on whatever maps currently invent.Read
- BuildingClinics: when fluent answers are unacceptableFor clinics and health-adjacent sites, AI support must refuse outside published admin facts. Fluency without grounding is unacceptable.Read
- BuildingAgencies: one bot, many client knowledge basesHow agencies should run AI support across clients: separate knowledge bases, domain locks, and evaluation per property.Read
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