Your estimator

AI quote request automation

Turn quote requests into ready-to-send estimates, without the back-and-forth

AI quote request automation collects the details a job needs, applies your rate card, and drafts a structured estimate for you to review. Less time chasing information, faster quotes out the door, and a higher chance of winning the work.

Last reviewed

A customer asks their assistant

“get me a price estimate for a fence installation”

Your estimator
Answers
What you do, and what drives the price
Hands over
A scoped brief, ready to price
Not yet
A binding price
An illustration of the moment this agent is built for.

Can AI handle quote requests for my business?

Yes, up to the point of a number. An AI agent can take the request, ask the questions you would ask, and hand your team a brief that is ready to price — but it does not produce a binding price.

Answers
What you do, and what drives the price
Hands over
A scoped brief, ready to price
Not yet
A binding price

Your customers are already asking AI

These are the kinds of prompts people now type into an AI assistant — the demand this workflow is built to serve.

  • “get me a price estimate for a fence installation”

  • “how much would it cost to repaint my house”

  • “I need a quote for landscaping work”

  • “compare quotes for a new roof in my area”

So how does a customer's AI find this at all?

Automated quoting needs requests to work on. Make your services and quote intake available to AI, so when a buyer asks their assistant for a price or an estimate on the work you do, AI can bring the request to you — the way you want it captured.

The things that decide a price are the things you would never print on a price list — how you scope a job, which details move the number and by how much, the work you quote high because you would rather not take it, and the work you will not quote at all.

Fugentic publishes what you describe as an MCP server — the thing that lets an AI assistant ask your business a question and get a real answer back — and registers it, so an agent finder, the index an assistant checks to see what is available, can pick it up.

  1. The customer asks

    “how much would it cost to repaint my house”

  2. AI looks for what can answer

    An agent finder checks what is available

  3. Your agent answers

    Your estimator

    A scoped brief, ready to pricereaches you

Fugentic publishes and registers the middle. You supply what your agent knows, and what it collects lands wherever you already work.

A buyer asking their assistant who can price a new roof gets a real account of the work you do and what moves the number — and a scoped request lands with you, instead of a one-line “how much?” you chase for a week.

What AI can and cannot do here today

What AI can do today

  • It can explain what work you take on, how you scope it, and what pushes a price up or down.
  • It can ask the questions you would ask — dimensions, materials, access, deadlines — so the request arrives complete.
  • It can hand your team a scoped brief that is ready to price, with the customer’s answers attached.

What it cannot do yet

  • It cannot give a binding price. Real pricing against live data needs a server type the platform does not host yet.
  • It cannot win the job. It gets you to a quote you can send; the decision stays with you.
Based on what the platform hosts today: an agent that answers from what you have described, and hands the rest to you.

How the quote automation workflow works

  1. 1

    A prospect describes the job

    A prospect describes the scope of work they need priced, by email or web form.

  2. 2

    Collect missing details

    The agent asks for anything needed to price the job accurately — dimensions, materials, access, deadlines.

  3. 3

    Draft the quote

    Using your rate card in Google Sheets and QuickBooks estimates, the agent drafts a structured quote for your review.

  4. 4

    Send after approval

    Once you approve, the quote is emailed to the customer — consistent, professional, and fast.

Will AI one day quote, book and sell for you?

Not yet — and not for a while. Everything below needs server types we hope to build, and an AI ecosystem that is still forming. It is where this is going, not what you sign up for today.

  1. 1

    Quoting against live data

    Not available today

    One day your estimator could put a real number in front of the customer while they are still describing the job — your current material prices, your margins, your rules about access and disposal, applied on the spot instead of on your evening.

  2. 2

    Taking the booking

    Not available today

    It could hold the date it has quoted for, so a yes does not start a fresh round of finding a week that suits everybody.

  3. 3

    Selling and closing

    Not available today

    Further out, accepting the quote could be the whole thing: signed, deposit taken, in your schedule, without a single follow-up email.

Build this workflow

Open this exact workflow in the free Agentic Planner and adapt it to your business — no code required.

Frequently asked questions

No — by default it drafts the quote and waits for your approval. You stay in control of pricing and what goes out.

Yes. It reads your rate card from a Google Sheet and can build estimates in QuickBooks, so quotes reflect your real prices.

No. Consultants and other service businesses that quote per project use the same workflow — just adapt the questions and rate card.

Because a price is a commitment. The agent can scope the job and draft against the rate card you have described, but it cannot look up current costs or bind you to a number — so the quote reaches you ready to check, and goes out when you approve it.

Make your services available to AI

Describe what you sell, what it costs and how you decide — then publish it as an agent an assistant can ask. No code.