Prepared for your quote automation build — April 2026

Conversation to quote
in seconds, not hours

Your team reads a customer conversation, pulls garment specs, looks up pricing, builds line items, creates a mockup, and sends it back. That's 30-60 minutes of pure translation. This system eliminates the translation step entirely.

Who I am

A quick intro before we get into the build.

Alexander Girardet

AI Engineer

I build AI-powered automation systems that connect business tools end to end. The systems I deliver handle real workflows — reading unstructured data, extracting structured fields, validating completeness, and writing to the platforms you already use. Not demos. Production systems that run every day without babysitting.

I've built this pattern before

A production system running the same architecture I'd build for you — AI agents that read messy inputs, extract structured data, validate it, and write to external platforms.
Production System

ICP Discovery Engine

An AI agent system that researches companies from multiple unstructured sources — websites, reviews, directories, social media. The agent extracts dozens of structured fields per company (firmographics, tech stack, decision-maker info), validates every field for completeness, scores each company against custom criteria, and writes the results to an external platform via API. Handles hundreds of companies autonomously with human review at the end.

AI Extraction Multi-Source Research Structured Validation API Integration Batch Processing

Same pattern your quoting system needs: AI reads unstructured input (customer conversations), extracts structured data (garment specs, quantities, print details), validates completeness (asks follow-ups if anything is missing), and writes to an external platform (Printavo quotes with line items and mockups).

How the quote automation works

From customer conversation to priced quote with mockup — every step automated, every quote reviewed by your team before it goes out.
01

Your team marks "Ready to Quote"

A team member updates the contact status in GoHighLevel. This is the intentional trigger — your team decides when a conversation has enough information to start building a quote.

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02

The full conversation is read

The system pulls the complete message thread from GoHighLevel — every message between your team and the customer, across SMS, email, or web chat.

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03

AI extracts the order specs

The AI reads the conversation and pulls out exactly what the customer wants — garment style and color, sizes and quantities, decoration method, print locations, ink colors, and any uploaded artwork. Structured and validated.

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04

Missing info gets asked — not guessed

If the customer didn't specify a size breakdown, or forgot to mention the print location, the system sends a follow-up message in GoHighLevel asking the specific question. No quote gets created with incomplete specs.

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05

Live pricing is calculated

The system pulls real-time garment costs from your vendor, applies your pricing matrix — per-piece decoration cost, setup fees, size upcharges, quantity tier breaks, and your margin target — to calculate the final per-piece and total price.

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06

The Printavo quote is built

A complete quote appears in Printavo — customer info, line item groups per garment style, size breakdowns with quantities, per-piece pricing, setup fees. Ready for your team to review.

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07

A mockup is generated

The system pulls the garment image from your vendor's catalog and composites the customer's artwork onto it — a visual mockup showing the design on the actual garment, attached to the Printavo quote.

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08

Customer is notified via GoHighLevel

After your team reviews and approves, the quote link and mockup preview are sent back to the customer through the same conversation they started in. Contact status updates automatically for pipeline tracking.

Two ways to build this

This project involves reading conversations, calculating pricing, generating images, and writing to multiple platforms. The tooling choice matters.

Workflow tool approach

  • Chain of visual nodes — each step is a box on a canvas. Works for simple A-to-B automations, but this flow has 8+ steps with conditional logic.
  • Brittle at this complexity — conversation parsing, pricing calculations, and image generation don't fit neatly into drag-and-drop nodes.
  • Hard to debug — when a quote comes out wrong, you're hunting through a chain of 15 nodes to find where it broke.
  • Image processing — generating mockups by compositing artwork onto garments requires code. Visual workflow tools don't do image manipulation.

Great tools for simple automations. But for AI-driven extraction, pricing math, and image generation across four platforms, they add friction instead of removing it.

What you get

A complete system that connects GoHighLevel to Printavo through AI — and source code you own.

Working quote automation

Mark a contact "Ready to Quote" in GoHighLevel and a priced quote with mockup appears in Printavo. The full pipeline — conversation reading, spec extraction, pricing, quote creation, mockup generation, customer notification.

GoHighLevel integration

Custom tools that read conversations, send follow-up messages for missing info, update contact status fields for pipeline tracking, and deliver quote notifications back to customers.

Printavo integration

Custom tools that create quotes with full line item breakdowns — garment groupings, size and quantity rows, per-piece pricing — matching how your team already structures quotes manually.

Pricing engine

Configured with your pricing matrix. Pulls live garment costs from your vendor, applies decoration pricing per method and location, setup fees, size upcharges, quantity tier breaks, and your margin target.

Mockup generation

Pulls the garment image from your vendor catalog and composites the customer's artwork onto it. Flat, catalog-style mockups attached directly to each Printavo quote.

Source code and docs

You own everything. Full documentation, clean codebase, no vendor lock-in. If you want to modify, extend, or hand it to another developer — you can.

Ongoing cost after delivery

~$50/month total. Server hosting plus AI usage at your quote volume. GoHighLevel, Printavo, and your vendor account are tools you already pay for — no additional fees from those platforms.

Timeline

Full system running in 4 weeks. You'll see the first real quote generated by the end of week 2.
Week 1

Conversation reading and AI extraction

GoHighLevel trigger connected. AI reading real customer conversations and extracting structured order specs — garments, sizes, quantities, decoration details. Validation logic catching missing information.

Week 2

Printavo quotes and pricing engine

Quotes created in Printavo with full line item breakdowns. Pricing engine configured with your matrix — live garment costs, decoration pricing, quantity tiers, margins. First end-to-end quote from a real conversation.

Week 3

Mockups and notifications

Mockup generation pipeline running — artwork composited onto vendor garment images. Customer notifications flowing back through GoHighLevel with quote link and mockup preview. Contact status tracking live.

Week 4

Testing with real conversations

Running real customer conversations through the system. Pricing calibration against your manual quotes. Edge case handling — unusual garments, multi-location orders, incomplete specs. Handoff and documentation.

Guardrails

Pricing errors mean lost margin or lost deals. The system is built to prevent both.
Rule 1

Human review on every quote

Every generated quote lands in Printavo for your team to review before the customer sees it. Nothing auto-sends. Your team approves, adjusts if needed, and sends when they're satisfied. The system earns trust over time — you loosen the leash when you're ready.

Rule 2

Extraction validation — no guessing

If the customer didn't mention their size breakdown, the system asks. If the decoration method is unclear, the system asks. No quote gets created with assumed or missing information. Every field is validated before any pricing calculation begins.

Rule 3

Pricing sanity checks

Every quote is checked against configurable ranges before creation. Per-piece price within min/max bounds. Total quote value within expected range. Margin above your floor. If any check fails, the quote is flagged for manual review instead of auto-created.

What's next

The MVP handles the core pipeline. Once it's proven on real quotes, here's what we can add.

Multi-vendor support

Add additional garment distributors beyond your primary vendor. Same pricing engine, more garment options.

Customer approval workflow

Customers approve or decline quotes inline through GoHighLevel. Approval automatically updates the Printavo status.

Quote revision handling

Customer requests changes, the AI reads the revision, and the Printavo quote updates — no manual re-entry.

Perspective mockups

Upgrade from flat catalog-style mockups to lifestyle-quality visuals using a dedicated mockup service.

Analytics

Quotes generated, conversion rate, average quote value, response time — visibility into your quoting pipeline.

Ready to see the detailed build plan?

I'd love to review your project brief to get into the specifics —
your pricing structure, vendor setup, and decoration methods.
Let's build this.