1. Capture the visit notes
The sample technician reports an office that gets warm in the afternoon. The existing ceiling units need routine service and replacement filters. Access is available before the office opens.
The site form confirms two units. An equipment photo is supporting information, not a substitute for a confirmed unit count. If the count is missing, the quote waits for the technician to provide it.
Where this starting point could lead
A wider solution could connect accepted quotes to job preparation, stock checks and customer updates. We can design which steps happen automatically, which decisions remain with your team and what should happen when details are missing. The manager review in this example is one possible design, chosen for this workflow.
2. Bring together the right records
The workflow uses the customer and site details, the service list, the technician’s site form and a sample rate sheet. The price sheet specifies $180 per unit for routine service and $35 per replacement filter.
These records establish the work and price. AI can help draft the description, but the amount is calculated from the confirmed quantity and supplied rates.
3. Calculate a draft quote
Two services at $180 total $360. Two filters at $35 total $70. The sample subtotal is $430 before tax. Repairs and extra work need separate approval.
The draft keeps the source records visible so the manager can check how it was prepared. These example dollar amounts describe the fictional service job, not CTHY’s fees.
4. Ask the manager and customer
The manager checks the work, the unit count, the rates and the message before the quote goes to the customer. A completed draft is not approval to send it.
After manager approval, the customer still needs to accept the scope and price. The job remains on hold until those decisions are complete.
5. Prepare the accepted job
Once accepted, the agreed work can become a job record with service tasks and access notes. The team still has to confirm a service time with the customer.
If the job software is unavailable, the accepted quote stays ready and the failure is flagged. Before a retry, someone checks whether the job was already created. That avoids treating an uncertain result as permission to create a duplicate.
What to check in a real project
- Where visit notes and confirmed quantities are recorded.
- Who maintains the service catalogue, rates and tax rules.
- Which quoting and job-management actions the software supports.
- Who approves the quote and how customer acceptance is recorded.
- How errors, retries, access rules and scheduling handoffs are handled.
How to measure whether it helps
Compare quote-preparation and checking time, corrections, missed follow-ups and incomplete job records before and after a trial. Faster drafting is useful only if the overall work improves. Consider setup, software, usage and support costs before deciding whether the change is worthwhile.
Choose the simplest useful version
This example shows a possibility, not a requirement for custom software. An existing feature, a template or a straightforward process change may be enough. We assess those options with your team before recommending a build.
Where a tailored solution is worthwhile, we can handle the agreed design, development, connections, testing, staff training and launch, with ongoing support defined separately. You see the setup and running costs before deciding to proceed.
Questions you may have
Does the AI choose the price?
In this example, no. The business supplies the rates and the confirmed unit count; arithmetic determines the subtotal. The manager checks the draft.
Can this connect to our current job software?
That requires checking the software’s supported connections and permissions. The example does not claim a working integration with a named product.