Turn last week's invoices and closed jobs into a short written summary of revenue, job mix and average ticket, sent every Monday morning.
An AI agent for weekly revenue and job mix reporting is a 24/7 digital assistant that reads your invoices and closed jobs, splits the week's revenue by job type, compares it against the four weeks before, and sends the owner a short written summary every Monday morning. It stops a business being run on a bank balance and a feeling when nobody has an hour spare to build a report out of the accounting export. Every figure comes from your own systems: the invoice register in QuickBooks, the closed-job export from ServiceTitan or Housecall Pro, the dispatch board. This is a summary of your business data, not a report on the agent — so any number in it can be traced back to an invoice or a job you can open. The value is in the mix rather than the total. A flat revenue week made up of far more repairs and far fewer replacements is a different week, and the total alone will not tell you.
Reads the exports, splits the mix, and writes the summary.
Pulls the week's closed jobs and raised invoices from your accounting and field-service exports
Splits revenue by job type — service, maintenance, replacement, warranty and commercial
Compares job count and average ticket against the previous four weeks
Shows the mix shift: how much of the week came from repairs against installations
Names the largest jobs, the discounts given and anything written off
Sends a written Monday summary with every figure traceable to a source record
Most contractors know their revenue and very few know their mix, because the mix takes a spreadsheet and forty minutes that never appear. Yet the mix is where the early warning lives: replacement share falling, average ticket sliding, maintenance memberships flat while call volume rises. A short written summary every Monday, built from the same exports you already produce, makes those movements visible while there is still a quarter left to do something about them.
A simple, three-step flow.
Each Monday the agent pulls the closed jobs and invoices for the previous week from QuickBooks and your field-service software, using the exports you already generate.
It splits revenue by job type, calculates job count and average ticket, and compares each figure against the previous four weeks so a movement is shown in context.
The summary goes out as short written paragraphs rather than a chart pack, naming the largest jobs, the discounts and anything unusual, with figures that trace back to source records.
A realistic use case with concrete timing and output.
Scenario: a residential HVAC company turning over roughly $95,000 a week across 140 jobs, where the owner last built a mix report in February. Monday 7am the summary reads: $91,400 invoiced across 138 closed jobs; average ticket $662 against a four-week average of $704. Replacements were 46 percent of revenue against 58 percent the previous month, while service calls rose. Maintenance agreements added 22 members. Three jobs carried discounts over $500 and one $2,800 job was written off after a callback. The owner reads it in ninety seconds and arrives at the Monday meeting with one question — why replacement quotes are converting lower — instead of an hour of spreadsheet work and no question at all.
Roles that gain practical value from this AI agent.
See the week in ninety seconds, including the mix shift a revenue total would hide.
Open the Monday meeting with the same figures every week rather than impressions.
Watch replacement share and average ticket weekly instead of at the quarter end.
See callbacks, write-offs and discounting concentrating around a crew or an equipment type.
Field fewer ad hoc requests for numbers that the summary already answers.
Compare the same figures across branches on one consistent definition.
Key tools and what the AI agent does inside each.
Supplies the invoice register, discounts and write-offs that the revenue figures are built from.
Provides closed jobs, job types and business unit tags so revenue can be split by category.
Supplies job and invoice exports for smaller residential operations without ServiceTitan.
Holds the weekly history so each week can be compared against the four before it.
Posts the Monday summary into the leadership channel where the week is actually discussed.
Six practical scenarios that this AI agent excels in.
Common questions about using the AI agent in workflows.
An AI agent for weekly revenue and job mix reporting is a 24/7 digital assistant that reads your invoices and closed jobs, splits the week's revenue by job type, compares it against the four weeks before, and sends the owner a short written summary every Monday morning. It stops a business being run on a bank balance and a feeling when nobody has an hour spare to build a report out of the accounting export. Unlike a dashboard, it arrives on its own and explains what moved in plain sentences.
From your own business records — the QuickBooks invoice register and the closed-job export from ServiceTitan or Housecall Pro. The agent reads and summarizes data your business already produces. It is not reporting on its own activity: Agentplace does not provide analytics for published agents, so every figure in the summary ties back to an invoice or a job you can open and check.
It uses the job types or business unit tags you already apply in your field-service software, and where those are missing you give it a simple mapping rule. Nothing is inferred from the job description alone. If a batch of jobs is untagged, the summary says so rather than quietly putting them in a bucket.
Yes. The four-week comparison is the default because it catches a drift early, but the same summary can carry the same week last year, month to date or year to date. Seasonal trades usually want both, since a strong week in July means something different from a strong week in April.
By not building one. The export, the pivot table and the formatting is most of an hour for a bookkeeper or an owner, every week, and it is the first thing dropped in a busy season — which is exactly when the numbers matter. Automating the read and the write leaves people to make decisions rather than assemble the inputs.
Yes, provided the jobs and invoices exist somewhere structured — a QuickBooks invoice register with item categories, or a job sheet in Google Sheets with a type column. The report is only as detailed as your categorization, and the summary will say where the data was thin.
Usually the owner and whoever runs the Monday meeting, sent by email or into a leadership channel. Some companies send a version by business unit to each manager. The underlying figures are the same; only the slice changes, so nobody argues about whose numbers are right.
Turn last week's invoices and closed jobs into a short written summary of revenue, job mix and average ticket, sent every Monday morning.