---
title: "Quote and proposal follow-up: AI Use Case"
description: "Track every quote or proposal that has gone out, draft a timely follow-up for each one, and give the owner a short weekly list of open deals that need a call."
url: https://lidvizion.ai/use-cases/quote-follow-up/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Use cases](https://lidvizion.ai/use-cases/) · Sales

# Quote and proposal follow-up

Track every quote or proposal that has gone out, draft a timely follow-up for each one, and give the owner a short weekly list of open deals that need a call.

[Talk through this workflow](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fuse-cases%2Fquote-follow-up%2F#write) · [Automate the repeatable](https://lidvizion.ai/services/automation/)

Where it starts

## The trigger.

A quote or proposal is sent and the customer has not replied.

How it runs today

- Quotes go out and follow-up depends on someone remembering.
- Open quotes live in email threads, spreadsheets and the CRM.
- Deals go quiet without anyone deciding to close them out.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Track
   Record each sent quote with its value, contact and send date from email or the CRM.
2. 02 / Draft
   Prepare a short, specific follow-up at the agreed interval for the owner to send or edit.
3. 03 / Summarize
   Send a weekly list of open quotes, with the ones that need a call at the top.
4. 04 / Close out
   The owner marks each quote won, lost or still open, with a reason.

Where people stay in control

## Approval points.

- The owner approves or edits every message before it is sent.
- No automatic discounts or price changes; pricing decisions stay with a person.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Share of quotes followed up on time.

### Time from quote sent to decision.

### Quotes closed out with a recorded reason.

Related

## Go deeper.

- [Automate the repeatable](https://lidvizion.ai/services/automation/): Give recurring work an owner, a trigger, and a stop rule.
- [Client vs. server: where code runs](https://lidvizion.ai/resources/basics/backend-client-vs-server/): What belongs in the browser or app, and what must stay on a server you control.
- [Follow up on every quote](https://lidvizion.ai/guides/follow-up-on-every-quote/): A four-step routine to track every quote or proposal you send, follow up on time with a message that adds value, and close each one out with a recorded reason.
- [How to automate quote follow-up](https://lidvizion.ai/answers/how-to-automate-quote-follow-up/): How can a sales team automate quote follow-up without sounding robotic?

More use cases

## Other places to start.

[All use cases](https://lidvizion.ai/use-cases/)

- [Lead intake to CRM](https://lidvizion.ai/use-cases/lead-intake-crm/): Sales New inquiries are enriched, summarized and written to the CRM with a suggested next step, and the right person is alerted.
- [A website agent that qualifies leads](https://lidvizion.ai/use-cases/website-lead-qualification-agent/): Sales A chat agent on your site answers questions from approved content, asks the qualifying questions your team would ask, and books or routes the lead with a summary.
- [Proposal and RFP first drafts](https://lidvizion.ai/use-cases/proposal-and-rfp-drafting/): Sales Draft proposals and questionnaire answers from your approved past answers, so the team edits a strong first draft instead of starting blank.

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)