Understand the flow
Look at how a request arrives, what information matters, and what your team does next.
Explore practical ways to organize requests, prepare replies for human review, and keep follow-ups moving — from auto repair inquiries to machine shop RFQs.
“Could you help with a service request? I'd like to know what information you need to get started.”
Inquiries come in all shapes: a service question, an appointment request, or a drawing and a deadline. A clear process helps make the important details easier to find and review.
IntakeDesk is an early concept for organizing that first conversation. The goal: a useful workflow shaped around how your business actually works.
Tell me about your process ↗
Start with the information that matters to your team, then give it a clear place to go.
REQUEST ↗ REVIEW ↗ FOLLOW UPNo assumptions about your current tools. Just a conversation about what comes in, who handles it, and where a better process could help.
Look at how a request arrives, what information matters, and what your team does next.
Explore a focused workflow for organizing details, identifying gaps, and preparing a draft.
Put review at the center. A person checks the information and decides what to send or do next.
Implementation, integrations, scope, and cost would be discussed separately for each project.
Start with one repeatable part of your day, not a whole new way of running your business.
Organize vehicle details, the customer's concern, and the information a team member may need to follow up.
Bring RFQ details such as material, quantity, requested timing, and drawing status into one reviewable view.
Examples are illustrative. A person must review technical details, drawings, feasibility, pricing, and timing.
Watch a short walkthrough of the automotive inquiry concept, using fictional customer examples.
Review extracted details and a suggested reply.
Track a simulated follow-up in the browser.
This is a rule-based prototype, not a live AI or email integration. No real messages are sent, and the follow-up queue is local to the browser. A person reviews all details.
Prefer to read? Here's the same idea as the video, using a fictional auto-repair request.
“My 2017 Toyota Camry won't start consistently. Are you accepting appointments tomorrow? I don't know the mileage.”
Sample details only — not a real customer message.
Choose a fictional example or enter a sample message into the prototype.
Local rules identify vehicle details and the requested date. Missing mileage is flagged for review.
A staff member checks and edits the details and suggested response. The draft does not confirm an appointment or diagnose the issue.
Add the sample to a browser-local queue and mark a simulated follow-up status. No real message is sent.
An illustrative, rule-based workflow with human review. It does not connect to an inbox, CRM, or live AI model, and the queue is stored only in the current browser.
Tell me what comes in, what happens next, and where things get difficult. We can explore whether a small, practical workflow might help.
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