Can AI write your quotes and proposals?

A quote sits in the queue for three days. Not because anyone's unsure of the price, but because writing it is an hour of assembly: find the enquiry, open the last similar proposal, copy the sections, check the current price list, adjust the scope, fix the dates, export the PDF. The rep knows what the number is by Tuesday morning. The customer sees it on Thursday.

So the honest answer to the question is that AI can write the hour. It can't, and shouldn't, make the decision that takes two minutes. Keep those two things separate and quotes go out the same day without anyone sending a wrong one.

What goes into a quote, and where it comes from

Take the last quote your team sent and mark each part by its source. The pattern is usually the same.

• The scope: what the customer asked for, in the enquiry, the call notes or the email thread.
• The prices: in your price list, with the rules for volume, options and discounts.
• The terms: in a template that hasn't changed in a year.
• The standard sections: who you are, how delivery works, what happens next, the same in every proposal.
• The specific sections: why this option for this customer, written fresh each time.
• The decision: the final price, any discount, and whether to quote at all.

The first four come from sources a system can read. The fifth is where a draft helps a person write faster. The sixth belongs to a person entirely.

What the draft should contain

A useful draft is a complete quote with its homework shown. It reads the enquiry for the scope and lists what it understood, so a rep can see at a glance where it might have misread. It pulls the current prices and shows the calculation, line by line. It fills the template and the standard sections. For the specific sections, it drafts a version from the call notes and marks it clearly as a draft to be rewritten.

What it doesn't do is pick a discount, waive a term or decide to quote for something you don't normally sell. Those arrive as questions for the rep, with the context attached, rather than as decisions already made.

What a person must still decide

Three things, and they're the three that lose money when they go wrong. Is the scope right, or did the enquiry mean something the system didn't catch? Is the price right for this customer, this volume and this moment? And should this go out at all, or is it a job you'd rather not take? A rep who's been handed a complete draft with the sources side by side can answer all three in a few minutes, because the assembly isn't in the way.

The check is the step that makes the speed safe, and it stays visible in the process: the draft, its sources and the rep's approval are all on the record, so you can see who sent what and why. This is how quote preparation works inside Revenue Growth.

The same split applies to a change after the quote has gone out. If the customer asks for thirty units instead of forty, the system reprices from the rules and produces a revised draft with the differences marked. The rep checks the two numbers that changed and approves it. A revision that used to take another hour of assembly takes a few minutes, and the record shows both versions.

What makes a wrong quote go out

A wrong quote is rarely the draft's fault. It goes out because the check was skipped on a busy day, because the price list the draft used was last year's, or because the scope in the enquiry was ambiguous and nobody asked. Each of those has a guard.

• The check can't be skipped: nothing goes to the customer until a named person approves it.
• The price list has one home, and the draft always reads the current version. If prices live in three spreadsheets, fixing that comes first.
• Ambiguity becomes a question, not a guess. When the enquiry could mean two things, the draft says so and the rep asks the customer before quoting.

With those in place, the system is more consistent than the hour of manual assembly it replaces, because it never copies last quarter's terms from an old proposal by mistake.

A quote, from enquiry to sent

An enquiry arrives on Tuesday at a quarter past nine. The customer wants forty units with installation, across two sites, before the end of the quarter. By half past nine a draft is waiting for the rep, and the first thing it shows is what it understood: forty units, two sites, installation, the deadline. Below that are the prices, line by line, with the volume rule applied and the calculation visible. The template and the standard sections are filled. A short section on why this option suits a two-site rollout has been drafted from the call notes, marked as a draft.

The draft also carries one question. The enquiry said two sites but gave one address, and delivery is priced per site, so it asks the rep to confirm rather than guessing. The rep emails the customer at twenty to ten, gets the second address back at ten, and corrects the delivery line. They decide on a small discount for the volume, which the draft had left to them, and rewrite the two-site section in their own words because they know the customer's concern is disruption during installation.

At twenty past eleven the rep approves and the quote goes out. The record shows the enquiry, the draft, the sources it used, the question it raised, the rep's changes and the approval. Two hours from enquiry to quote, with a person deciding every number that mattered. The following week, the follow-up sequence starts on its own, and the same record is attached to every touch.

What to measure

The measure is time from enquiry to quote: the gap between an enquiry arriving and the quote reaching the customer, across a month. Take it now, from the dates you have. After, it should fall to the time a rep needs to check and send, which for most quotes is the same day. Alongside it, watch enquiries that progress to a conversation, because a quote that arrives while the customer is still deciding gets read.

A faster quote also needs a follow-up that happens, which is a separate problem with its own fix: how to follow up every quote without nagging.

What to do this week

1. Take your last three quotes and mark each section by its source: enquiry, price list, template, standard, specific, decision.
2. Find out where the price list lives and whether there's more than one.
3. Write down the three things a person must check before any quote goes out.
4. Measure the gap from enquiry to quote on last month's deals.
5. Note the quotes that went out wrong in the last year and what caused each one.

If you'd like to see what a drafted quote looks like for your kind of work, bring a recent enquiry and the quote it became to a call.