Follow up on your quotes without spending every Friday on it

Because follow-up has no scheduled time. It is urgent for no one, there is no customer asking for it, and it lands on Friday afternoon on the desk of the person who has already priced twelve inquiries that week.

Three causes recur, and they are not solved in the same way. The first is tracking: on a Tuesday morning, no one can say which quotes have been waiting for a response for more than fifteen days. The information exists, scattered across email, management software, and a spreadsheet. The second is discomfort: following up feels pushy, especially when there is nothing new to say. The third is content: a follow-up that says “I am following up with you” gives the customer nothing, and the person writing it knows that.

Follow-up software solves the first problem. It solves neither the second nor the third, and that, in our view, is why many installed tools eventually stop being used.

A fixed rule is enough in most cases, and it is preferable: less expensive and easier to verify. An AI agent is justified only when the follow-up must take the contents of the file into account.

The boundary is clear if it is set before choosing a tool.

• What a fixed rule does very well. Identify quotes with no response after N days, list them every Monday morning, send a short neutral reminder, stop the sequence as soon as the customer replies, and return the file to the salesperson after two attempts. No intelligence is required, and simple automation costs less to maintain than a language model.
• What requires an agent. Reread the quote and the exchange that preceded it to recall what mattered to that particular customer: a timeline, a technical constraint, or a variation they requested. Adapt the timing to the account history rather than a day counter. Connect the follow-up with new and true information: a product available again, an approaching deadline.
• What is neither. The customer who did not reply because they chose another supplier, the customer who is negotiating, or the one waiting for a concession. These cases go back to the salesperson; they are not automated.

During the discovery audit, we look at your last ten unanswered quotes and tell you which category they fall into. If it is the first, we say that too: it is the least expensive case for you.

No, and confusing them is costly. Following up on a quote is sales work: you are seeking a decision. Following up on an unpaid invoice is collection: you are seeking payment. The tools, tone, and people involved are different.

The distinction matters because many tools on the market claim to handle both. An invoice reminder is based on a contractual due date, can become firmer, and ends up with accounting. A quote follow-up is based on presumed interest, must remain light, and belongs to sales. A system that treats both the same way will sooner or later produce a payment reminder in the tone of a sales follow-up, or the reverse: both create a bad impression.

This page is about quote follow-up. Handling incoming inquiries and producing proposals are covered on the inquiry and quote agent page. To determine whether follow-up is the first task you should assign to an agent, see AI agents for small businesses: where to start.

The system prepares and triggers what has been defined; the salesperson keeps the decision, the tone for sensitive cases, and the sending until explicitly enabled. This boundary is written before construction.

If you compare providers, read the third column first. It tells you where the system stops, and that is the only information that protects your customer relationship. For the access such a system requests in your tools, see four questions to ask before connecting an AI agent to your tools.

No. The system connects to what you already use (email, management or invoicing software, CRM), and it reaches you where you work. No one has an additional tab to open.

This is a fundamental difference from most follow-up tools on the market, which are separate applications: quotes must be created or imported there, someone must log in to see alerts, and the team must learn one more piece of software. In a small business where the quote already comes from management software, this detour is, in our view, what most often leads teams to abandon the tool.

One honest caveat: not all software provides official access for reading quotes. When that is the case, we tell you during the audit instead of bypassing the software. A workaround always breaks after an update and leaves you with a system no one can repair.

With a free twenty-to-thirty-minute discovery audit, followed by a written scope before any paid work. A first system for one role is delivered in two to three weeks, including two weeks of trial operation.

• The discovery audit (free, 20 to 30 minutes, by video call or on site): your pending quotes, the tools where they live, who follows up today, and why it does not happen. You leave with a written opinion.
• The written scope: follow-up intervals, number of attempts, what the system sends by itself and what goes through you, and a fixed-price quote. When the need extends beyond follow-up, we propose a paid scoping engagement whose scope and price are written before work begins.
• Construction: read-only access to your quotes first, trigger rules, message templates, and tests on your past files.
• Trial operation, two weeks included in the timeline: the system identifies cases and drafts without sending anything. You compare its proposals with what your salespeople would have written, we make corrections, and then you decide whether to put it into service.
• Ongoing support: supervision and adjustments each month, with no commitment and one month's notice.

The scope and price are written before work begins, and no paid work starts until you have approved the quote. Hosting and third-party tools are in your name, paid directly by you, with no markup from us. See the framework and offers.

For what using AI really costs in this type of system, and why the selected model does not determine the bill: the cost of an AI agent: pay for the task, not the token.

Small businesses that send written quotes and have no one dedicated to following them up, anywhere in France, with an on-site meeting available in Île-de-France.