Quotes expire because material and equipment prices move. This agent works the follow-up, warns before the hold ends, and sends lapsed quotes back to be re-priced properly.
An AI agent for quote follow-up is a 24/7 digital assistant that tracks the expiry date on every open quote, works the follow-up sequence, warns the customer before the price hold ends, and routes lapsed quotes back to the estimator for a fresh figure. It stops a signed job turning into an argument in March about a price that was written in November. Expiry dates exist for a reason: copper, sheet metal, shingles and equipment all move, and manufacturers announce increases with weeks of notice, not months. Most contractors print the date and never mention it again, which teaches customers that it is decorative. The agent says the date out loud, early, with the reason attached, and then holds to it. It cannot extend a hold on its own authority and it cannot invent a replacement number when one lapses.
Works the follow-up, respects the expiry, re-routes rather than re-guesses.
Tracks the expiry date on every open quote and counts down against it
Sends the nudge, the check-in and the expiry warning on the schedule you set
States the expiry date and the reason — material and equipment prices move
Will not extend a price hold on its own authority, whoever asks
Routes expired quotes back to the estimator for a fresh figure rather than guessing one
Marks the outcome on the deal: accepted, expired, re-priced or declined
Two things kill margin on quoted work. The first is silence: a quote goes out, nobody follows up after day two, and it dies without ever getting a decision. The second is drift: a customer resurfaces four months later with an old number and the estimator honours it rather than have an awkward conversation. A follow-up sequence that names the expiry date from the beginning fixes both, because the deadline is a reason to decide and a reason the re-price is not a surprise.
A simple, three-step flow.
When a quote is issued, the agent records the total, the scope summary and the expiry date, and confirms the date to the customer in the first message.
It nudges on the schedule you set — typically a scope question early, a check-in mid-period, and a clear warning several days before the hold ends — and stops the moment the customer replies.
An acceptance goes to your team for scheduling. An expiry goes back to the estimator for a fresh figure, with the agent telling the customer honestly that the old number no longer stands.
A realistic use case with concrete timing and output.
Scenario: A contractor carries around 40 open quotes at any time and closes about 22% of them. A $19,400 re-roof goes out on 3 March with a 30-day hold. On day three the agent asks whether anything in the scope needs explaining. On day twelve it checks in. On day 25 it says: "Your price is held until 2 April. After that we have to re-price — our supplier has announced an increase on architectural shingles." The homeowner signs on day 27. A second quote from the same week goes quiet; on 3 April the agent tells that customer plainly that the figure has expired and that the estimator is preparing a current one. Neither conversation required anyone in the office to remember a date.
Roles that gain practical value from this AI agent.
Your quotes get worked instead of sitting, and the ones that lapse come back to you rather than being honored by default.
Follow-up is the work that gets dropped first when you are on a job, and it is the work that pays best.
One follow-up cadence across the team, with the expiry conversation handled the same way every time.
Nobody has to keep a spreadsheet of which quotes are about to lapse.
When a supplier announces an increase, the open quotes affected by it are already tracked with dates.
Recovering quotes that would otherwise go quiet is cheaper than buying the same lead again.
Key tools and what the AI agent does inside each.
Delivers the follow-up sequence and the expiry warning in the thread the customer already uses.
Holds the deal, the quote total and the expiry date, and records the outcome against the record.
Reads open estimates and their dates, and marks the estimate when the customer accepts or lapses.
Creates the job on acceptance and returns lapsed quotes to the estimator's queue for re-pricing.
Tracks which quotes closed, expired or were re-priced so you can see what the follow-up produced.
Six practical scenarios that this AI agent excels in.
Common questions about using the AI agent in workflows.
An AI agent for quote follow-up is a 24/7 digital assistant that tracks the expiry date on every open quote, works the follow-up sequence, warns the customer before the price hold ends, and routes lapsed quotes back to the estimator for a fresh figure. It stops a signed job turning into an argument in March about a price written in November. Unlike a calendar reminder or a mail-merge sequence, it holds a real conversation, answers scope questions and knows when to stop chasing.
It does not have that authority and it says so. The agent explains that the quote was held for a fixed period because material and equipment costs move, and that a current figure is coming from the estimator. Whether you then choose to honor the old price is a decision for a person. Contractors keep this strict deliberately — a tool that quietly extends every hold makes the expiry date meaningless.
No. When a quote lapses the agent tells the customer honestly that the figure has expired and hands the job back to the estimator. It will restate your published range for that type of work while the new quote is prepared, framed as a range and conditioned on the current scope, but it does not calculate a replacement total and does not adjust the old one for inflation.
It gives the range, explains that a firm figure comes from the estimator who priced the original scope, and books the call or the site visit. It does not repeat the expired total as if it still stands, and it does not pick a figure between the old price and the current range to satisfy the pressure. The honest answer is slower by a day and correct.
You set the cadence, and the agent does not exceed it. A common pattern on a 30-day hold is a scope question on day three, a check-in around day twelve, and a warning five days before expiry. All chasing stops the moment the customer replies, asks for space, or declines — a declined quote gets one acknowledgement and nothing further.
Never. The agent has no ability to change a price. It can restate the quote, explain the scope and remind the customer of the deadline, and that is the whole toolkit. If a customer asks for money off, that request goes to your salesperson with the context attached, because a discount is a margin decision and margin decisions belong to people.
Only if you tell it. Most contractors keep a short note in the quote file — for example that shingles or copper have an increase announced from a given date — and the agent uses that as the reason in the expiry warning. It does not track commodity markets on its own, and it will not claim a price movement you have not recorded.
Quotes expire because material and equipment prices move. This agent works the follow-up, warns before the hold ends, and sends lapsed quotes back to be re-priced properly.