13 July 2026

The bot that answers quote requests in minutes

A customer asks three companies for a quote at the same time. The first to reply with a clear proposal and an indicative price usually has the edge, even if the other two end up cheaper. That has always been true, but email has made the problem worse: many requests arrive out of hours, pile up in the inbox, and are answered days later, when the customer has already decided with someone else.

Whoever answers first gets the job

It is no exaggeration: several studies of sales management put the useful window for responding to a quote request at a few hours, not days. Past that margin, the chance of closing the sale drops sharply regardless of the quality of the offer. For a small company with one or two people handling email between jobs, competing in that window is practically impossible without help.

What a quote bot does (and does not do)

An AI assistant connected to the inbox can read an incoming request, identify the key data (type of service, dimensions, location, urgency) and reply within minutes with a first useful piece of information: an indicative price range, the next steps, or a question to narrow the request if something is missing. It can also schedule a call or a visit with whoever handles quotes in the company.

What it must not do is replace human judgement in the final decision. A bot can give a fast, orderly first answer, but the closed quote — with the final price and conditions — must always be validated by a person. AI saves time at the start of the process; it does not replace the judgement of whoever knows the business.

An illustrative example: a renovation company

Imagine a renovation company that receives quote requests by email and messaging at all hours, but only checks email twice a day. Many customers have already hired another professional before they get a reply. They set up an assistant that reads incoming requests, identifies the type of work and the approximate area, and replies in minutes with an indicative price range and availability for a visit. Complex or incomplete requests go straight to the human team. With that change, they stop losing requests simply by replying late. The case is fictional, but it illustrates a very real problem.

Transparency: the customer must know they are talking to an assistant

It makes no sense — and it is not honest — to pass a bot off as a person. A customer who later discovers that the "personalised" reply they got was automated loses trust, even if the content was correct. The right practice is simple: the message states clearly that it is an initial automated reply, and makes clear how and when they will talk to a person on the team. Transparency does not make the bot less effective; it gives it credibility. Since August 2026 it is also what Article 50 of the EU AI Act requires.

Privacy: where the customer's data ends up

When a customer sends data to request a quote — name, address, photos of the space to be renovated — that information must be protected like any other customer data: stored securely, not shared with unauthorised third parties, and deleted when it is no longer needed. It is always worth asking, before installing any AI tool, where the data is stored and who has access to it.

This article is general information, not legal advice for a specific case.