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Coming soon — Use Case

Caller asks a question the AI cannot safely answer — it says so.

The IBIOS Receptionist is coming soon and is not live yet — this scenario shows how it will work. An AI that invents answers to seem helpful is worse than no AI at all. Once it launches, the IBIOS Receptionist will work in anti-hallucination mode: when a question falls outside its knowledge base, it will acknowledge the limit, explain it cannot give an inaccurate answer, and arrange a callback. No fabricated stock levels. No invented lead times. No guessed prices.

Why is an AI that always has an answer dangerous for a trade business?

A caller asks about a bespoke enclosure. A hallucinating AI reaches for the nearest thing it knows — a standard-size equivalent — and quotes a price and lead time with complete confidence. The caller places an order based on that information. Weeks later, your team discovers the item does not exist at that price or in that configuration. The relationship is damaged. The customer is angry. The complaint takes hours to unwind.

This is not a hypothetical. It is the default behaviour of most AI systems that are not explicitly designed to hold a knowledge boundary. They are trained to be helpful, and in the absence of correct information, they produce plausible-sounding incorrect information because that feels more helpful than saying nothing.

IBIOS is built on the opposite principle. An honest “I don’t have that information” followed by a callback is better for your business, your customer, and your reputation than a confident wrong answer.

What will the AI receptionist do when it does not know the answer (coming soon)?

A step-by-step walkthrough from the moment the AI detects it cannot answer safely.

01

Caller asks about an unknown item

A caller enquires about a bespoke or out-of-catalogue product — perhaps a custom-size enclosure or an item they saw at a trade show. The question does not match anything in the IBIOS knowledge base.

02

AI detects the knowledge boundary

Coming soon: while processing the question, the AI will identify that no confident answer exists in its data. It will not attempt to find the closest match and extrapolate. It will stop at the boundary.

03

AI acknowledges the limit clearly

Coming soon: the AI will tell the caller directly that it does not have that information available and does not want to give an inaccurate answer. It will frame this as a service to the caller, not a system limitation.

04

Callback offer is made

Coming soon: the AI will immediately offer to take the caller’s name, number, and the specific question, and arrange for the right person to call back. Every knowledge-boundary response will include this offer.

05

Task logged in IBIOS

Coming soon: a callback task will be created in IBIOS with the caller’s details, their question, and a timestamp. The relevant staff member will be notified. The caller will receive a confirmation message that someone will be in touch.

The expected outcome

Checked

answers checked against your records in anti-hallucination mode

Callback

offered whenever the AI is uncertain, instead of a guess

Logged

callback task created in IBIOS with the caller’s exact question

The callback system will mean no enquiry is lost when the AI reaches its limit. The caller will leave the call knowing they will hear back with a correct answer. Your team will receive a task with the exact question. The outcome will be the same as a competent human receptionist saying “Let me find out and call you back” — without any risk of a well-meaning guess causing a problem downstream.

Questions about anti-hallucination AI

What triggers the “I don’t know” response versus a confident answer?

The AI Receptionist (coming soon) will operate against a defined knowledge base derived from your IBIOS product catalogue, pricing, and operational data. When a caller’s question can be matched against that knowledge base with high confidence, the AI will answer directly. When the question falls outside the knowledge base — a bespoke product, an unknown SKU, a price that has not been configured — the system will detect the boundary and switch to its fallback mode: acknowledging the limit and offering a callback. There will be no grey area where the AI makes a reasonable guess.

Can the AI be trained to know more so it refuses less often?

Yes. The knowledge base is built from your IBIOS data, and the AI Receptionist that will answer from it is coming soon. Adding products to the catalogue, configuring prices, and uploading supplier information all expand what the AI can answer confidently. The goal is not to maximise refusals but to ensure every answer the AI does give is accurate. As your data improves, the AI’s coverage improves with it.

How is the callback request logged and routed?

Once the AI Receptionist launches (coming soon), when the AI offers a callback and the caller accepts, the system will create a task record in IBIOS linked to the caller’s CRM entry. The record will include the caller’s name and number, the question they asked, the time of the call, and the fact that the AI was unable to answer. The appropriate staff member or team will be notified immediately. No callback falls through the gap because it was not logged.

What if a caller insists the AI should know — does it get pressured into guessing?

No. The AI Receptionist (coming soon) is designed to hold its boundary under social pressure. If a caller pushes back — “surely you know the price” or “just give me a rough idea” — the AI will acknowledge the frustration, explain that it cannot give an inaccurate answer, and reiterate the callback offer. It will not produce a number to satisfy the caller’s expectation. Fabricated information that leads to a complaint or a lost sale is worse than a brief wait for a correct answer.

How does anti-hallucination compare to a human receptionist who might also guess?

A human receptionist who guesses is performing an act of helpful intent that carries real risk: they might quote the wrong price, promise a lead time that cannot be met, or describe a product incorrectly. The damage from a misquote can take weeks to unwind. The AI Receptionist (coming soon) is designed to be consistent. It will never have a confident-but-wrong day. It will always offer a callback rather than guess. For businesses where an incorrect quote can be costly or destroy a customer relationship, that consistency has real value.

The AI Receptionist is coming soon and is not live yet. Live today: typed Ask IBIOS questions over your live records. See also no price guessing on bespoke quotes and AI receptionist vs answering service. IBIOS (Integrated Business Intelligence & Operations System) is made by IBIOS Limited (NI743167), Northern Ireland. Access is by waiting list; there is no free trial.

An AI that knows what it doesn’t know.

IBIOS anti-hallucination mode checks every answer against your records before your AI gives it. AI Receptionist coming soon. Book a walkthrough.