Collect the exact quote details the team needs
Build service-specific questions for budget, timeline, property type, features, files, or project scope instead of using a generic contact form.
HuzAgent captures project details, detects what is missing, prepares an internal quote brief, and drafts the next follow-up without inventing final pricing.
Collect quote details, detect missing information, prepare an internal quote brief, and draft a clear follow-up without inventing pricing.
Paste your website URL or describe your business. AI fills in the whole setup for you. You just review and confirm.
This helps HuzAgent understand your service area, quote style, and where follow-ups should come from.
Some teams want a hosted HuzAgent quote form. Others already use a website form or webhook flow. This step keeps intake flexible without forcing the business to rebuild everything first.
Collect quote details, detect missing information, prepare an internal quote brief, and draft a clear follow-up without inventing pricing.
Create a guided quote request form that collects project details, budget, timeline, and contact information.
Use your current website form and send submissions to HuzAgent.
Send quote requests from Zapier, Make, n8n, Typeform, Tally, CRMs, or custom apps.
Add quote requests manually from the dashboard and analyze them with AI.
The business can define the services it actually quotes for, the fields each service needs, the price factors that matter, and the conditions that mark a request as high-value or not-a-fit.
Presets load useful quote fields for that industry. You can edit every field below.
These can become service-specific quote form fields.
This is where the intake gets cleaned up. The team can choose the fields, placeholders, required status, and live preview instead of relying on a vague contact form that hides missing information.
Build a guided quote form. Page breaks create customer-facing steps, and service-specific fields help AI check quote readiness.
This is how the public form will look after activation.
Readiness, urgency, missing-detail, and not-a-fit rules all live here. The AI can prepare the quote brief, but this step makes sure it stays grounded in the business rules and does not invent final pricing.
Set quote readiness, priority, missing detail, and not-a-fit rules. AI prepares the quote brief, but it should not invent final pricing.
Reply tone, language, draft mode, and safety wording all live in one place. Teams can thank the customer, confirm review, and ask for missing details without presenting final pricing too early.
Keep it clear, professional, and ready for estimates.
Start with drafts before auto-sending anything.
Helpful for requests coming from different markets.
See exactly how your AI will reply to a typical customer using your current tone and rules.
Every quote request is saved in Inbox, but many teams also need email alerts for ready-to-quote or needs-detail requests. This step keeps routing clean without mixing it into the scoring logic.
Quote requests are always saved in the inbox. Choose where quote-ready briefs and follow-ups should go.
Every quote request is saved with readiness, missing details, internal quote brief, reply draft, and execution logs.
Send quote request details, readiness, and the follow-up draft to your team.
Google Sheets export, Slack alerts, and webhooks to Zapier, Make, or n8n.
The final screen pulls source, services, readiness, output behavior, reply setup, and destinations into one view. That gives the team one clean checkpoint before the quote assistant goes live.
Confirm where quote requests come from, how AI checks readiness, and where quote briefs are sent.
Once the setup is live, the business is no longer staring at a vague contact form. Every request arrives with better structure, a clearer internal summary, and the next action already defined for the team.
A customer submits one form, HuzAgent checks readiness, finds missing details, prepares the internal quote brief, drafts the next follow-up, and routes the request to the right place before the team wastes time rebuilding the context.
From intake and service-specific questions to readiness checks, safer follow-up, and routing, HuzAgent keeps the quote workflow clear enough for real teams to use daily.
Build service-specific questions for budget, timeline, property type, features, files, or project scope instead of using a generic contact form.
HuzAgent can flag incomplete requests and draft the next follow-up around the details the estimator still needs.
Each request can be summarized into a cleaner internal brief so your team sees scope, readiness, urgency, and fit at a glance.
Use readiness rules, not-a-fit checks, and high-value indicators so your team spends time on the right opportunities first.
The AI can thank the customer, confirm review, ask for missing details, and avoid inventing final pricing before the team checks the job.
Save every request in Inbox, notify the team by email, and expand later to Sheets, Slack, Zapier, Make, or n8n.
Use HuzAgent to collect better quote details, detect missing information, prepare cleaner internal briefs, and send safer customer follow-up without inventing final pricing too early.