ServiceTrade's Stella AI agent suite now covers billing and collections through Stella Invoice and Stella Collect, built on its acquisition of Mura. Stella Invoice catches billing errors and missed revenue before an invoice goes out, and Stella Collect runs the full collections workflow, cutting billing cycles 33% and speeding invoice processing 3x for contractors already using it. Stella now runs the full job lifecycle, from the first proposal to the last dollar collected.
In May, we introduced our agentic AI platform, Stella. We introduced our first agentic modules, Stella Quote and Stella Schedule first. Stella Invoice and Stella Collect were named next, with Stella Sell and Stella Service to follow.
That commitment is now real. With our acquisition of Mura, Stella runs from the first proposal to the last dollar collected.
The last mile has been the quiet bottleneck
Commercial service contractors don’t lose revenue because the work doesn’t exist. They lose it when work gets stuck. We made that case when we introduced Stella in May. It’s just as true after the job is done.
Completed jobs need to become invoices. Invoices need to become cash. Commercial demand is surging, but back offices struggle to scale with it. Contractors are running more jobs through the same billing teams, yes revenue still stalls.
A technician finishes a job, and then someone has to track down the notes, check them against customer-specific billing rules, build the invoice, send it to the right person, and chase payment when it doesn’t land on time. None of that requires more field work. All of it delays cash the business already earned.
Stella Invoice and Stella Collect
Mura is an agentic AI platform built specifically to automate order-to-cash for field service companies, and it’s now part of the Stella suite as Stella Invoice and Stella Collect.
Stella Invoice reads job data, technician notes, and customer-specific billing rules to catch missed revenue and generate accurate invoices automatically, instead of waiting for someone to notice a billing error after the customer’s already been charged.
Stella Collect runs the entire collections workflow, reaching the right contact with the right message at the right time, so office staff stop managing spreadsheets and start closing balances.
The results are already measurable:
- Contractors using Mura report 3x faster invoice processing and 33% shorter billing cycles
- One contractor improved gross margin by six points in the first month
As Mura co-founder Ryan Smith put it, “Commercial contractors were consistently leaving money on the table after the job, not because of bad work, but because back-office teams couldn’t keep up with the manual workload of turning jobs into cash.”
That’s the same pattern we saw in quoting and scheduling. The work existed. It just couldn’t move fast enough to become revenue.
Built natively, fully integrated
We said it in May when we talked about Trade Intelligence, Stella Invoice and Stella Collect run on the same Trade Intelligence that powers Stella Quote and Stella Schedule: 14 years of field service history, 48 million tracked assets, and now $5.8 billion in annual invoice volume across commercial fire protection and mechanical contractors.
AI is what it eats, and this is the same data diet, extended to a new part of the lifecycle rather than swapped out for someone else’s.
The same distinction still applies
A basic automation tool might flag a billing error after the invoice already went out. Stella checks billing details against completed work before that happens, and prompts resolution before it turns into a write-off or a dispute.
That’s the difference between a chatbot and an agent, and it holds just as well in the back office as it does in quoting. A chatbot can summarize what happened. An agent acts on it, inside the workflow, before the mistake reaches the customer.
Full lifecycle, not point solutions
Contractors don’t need another dashboard to check or another vendor to call when something breaks between systems. They need the work to keep moving, all the way through to the cash landing in the bank.
That’s what Stella is built to do now: sell the work, schedule it, deliver it, quote the next opportunity, invoice what’s done, and collect what’s owed, from the first proposal to the last dollar collected.
LEARN MORE ABOUT STELLA AI AGENTS →
FAQs
What is Stella Invoice and Stella Collect?
Stella Invoice and Stella Collect are two new agents in ServiceTrade’s Stella AI agent suite, built to automate billing and collections for commercial service contractors. Stella Invoice reads job data, technician notes, and customer-specific billing rules to build accurate invoices automatically. Stella Collect runs the full collections workflow, reaching the right contact with the right message at the right time.
What is Mura, and why did ServiceTrade acquire it?
Mura is an agentic AI system built to automate order-to-cash for field service companies, and ServiceTrade acquired it to close the gap between finished work and collected cash. Mura’s technology now powers Stella Invoice and Stella Collect, the two newest agents in the Stella suite. The acquisition extends Stella from the first proposal to the last dollar collected.
What results have contractors seen with Stella Invoice and Stella Collect?
Contractors using Mura, now Stella Invoice and Stella Collect, report 3x faster invoice processing and 33% shorter billing cycles. One contractor improved gross margin by six points in the first month of use. Those gains come from closing the manual billing gap between a finished job and a paid invoice.
How does Stella Invoice prevent billing errors before an invoice goes out?
Stella Invoice checks job data and technician notes against customer-specific billing rules before it generates an invoice, catching missed revenue and billing errors before a customer ever sees them. Basic automation tools typically flag errors only after the invoice has already gone out. Catching the issue earlier prevents disputes and write-offs.
What’s the difference between an AI chatbot and an AI agent in billing?
A chatbot can summarize what happened in a billing workflow, but an agent like Stella Invoice acts on it, checking billing rules and catching errors inside the workflow before a mistake reaches the customer. That distinction is what separates Stella from generic billing automation. It holds across the Stella suite, from quoting through collections.
What other AI agents are part of the Stella suite?
The Stella suite currently includes Stella Quote and Stella Schedule for sales and scheduling, plus Stella Invoice and Stella Collect for billing and collections. Stella Sell and Stella Service are planned next. Together, they cover the full job lifecycle, from the first proposal to the last dollar collected.
What data powers ServiceTrade’s Stella AI agents?
Stella’s AI agents run on ServiceTrade’s Trade Intelligence data set, which includes 14 years of field service history and 48 million tracked assets. Stella Invoice and Stella Collect add $5.8 billion in annual invoice volume from commercial fire protection and mechanical contractors to that same data set. Every Stella agent draws on the same data, not a separate system for billing.
