
Enquiry Information Capture
Define the job details and missing information needed before a quote can be prepared.
Websites, online stores and design that bring your business to life.
Let’s find your fitConnect your business with the people who are looking for it.
Let’s find your fitPractical AI for your customers, your team and your everyday work.
Let’s find your fitChoose an industry group, then the business type that best fits.
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Less evening admin. A clearer path to a quote.
DonutLabs builds AI-assisted quoting workflows for Australian businesses. Turn enquiry details and your approved pricing information into quote drafts your team can review before sending.
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Explore their projects and discuss your renovation.
Visit website ↗Hi, we'd love to discuss our home…
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Tuesday works well for us…
Details captured. Follow-up organised.
Choose the support you need. We agree the deliverables and responsibilities before work begins.

Define the job details and missing information needed before a quote can be prepared.

Work from your approved price sources, calculation rules and quote layout.

Prepare descriptions and organise relevant information for the supported quoting process.

Keep a defined review step for pricing, scope and exceptions before a quote reaches the customer.

Bring enquiry details and job requirements into an agreed quote template. Your team gets a starting point to review, with missing information flagged before the quote moves forward.

Build around your approved rates, material markups and minimum charges. The workflow follows your pricing information, with unusual requests passed to your team.

Give your team a clear place to check the scope, price and customer details. Define who can approve a quote and what happens when changes are needed.
Quote preparation is a practical place to examine repetitive work, while keeping pricing and approval in your control.
The average seller spent only 40% of their time selling in Salesforce’s 2026 survey.
A controlled writing experiment found 40% less task time with ChatGPT. It did not test price calculations or quoting accuracy.

A practical plan. Room for your feedback.
Here’s how we approach ai quoting agent, with you involved along the way.
Let’s plan your projectMap the use case, source information and supported systems. Agree approval points and situations that need a person.
Build the agreed setup and review representative examples, unclear requests and handover behaviour.
Explain ownership and maintenance, then review the pilot against the outcomes agreed at the start.
No. The workflow should use your approved pricing sources and rules. Your team reviews prices and exceptions before a quote is sent.
We check the software’s integration options and access before confirming the workflow. Some systems may require a simpler handover.
We can design a process to flag missing details or request clarification. A person should review jobs that fall outside the agreed rules.
The initial scope should define a staff approval step. Any later automation of sending needs explicit rules, testing and your agreement.
Pricing depends on the agreed deliverables, complexity and any ongoing support. We review your requirements and provide a proposal that identifies the scope and relevant third-party costs.
AI quoting agent starts with understanding what you need.
Bring your ideas, existing material or the problem you are trying to solve. We’ll work through it together.