New AI-powered intelligence layer clears the information bottlenecks between field work and billing, on the systems organizations already run.

MILWAUKEE, Oct. 20, 2026 /PRNewswire/ — MSI Data today announced the launch of Service Pro Time-to-Invoice®, a new AI-powered intelligence layer designed to help high-volume field service organizations invoice every job faster without replacing the field service management (FSM) and enterprise resource planning (ERP) systems they already run.

Field and finance data rarely tell the same story. Time-to-Invoice brings them together with an agentic system: specialized AI agents work across platforms like Salesforce Field Service and Oracle NetSuite to unify job, labor and billing data, flag what’s missing, and move each completed job toward an invoice. The result is a clearer picture for field and finance teams and less time between finished work and getting paid.

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Built for multi-branch organizations in power and energy, industrial equipment, and heavy equipment, Time-to-Invoice addresses a costly operational gap: technicians complete the work, but missing notes, incomplete labor and parts records, and manual handoffs prevent that work from moving promptly to billing. The business has already paid to deliver the service, yet completed jobs can sit uninvoiced for days or weeks.

“Every day completed work waits to be invoiced is another day you’re giving your customer an interest-free loan,” said Michael Gonzalez, CEO of MSI Data. “We’re on a mission to help service organizations get paid faster by eliminating the delays between completed work and invoicing. Time-to-Invoice is an agentic intelligence layer that closes the information gaps between the field and back office, resolves issues before they become bottlenecks, and keeps revenue moving, all within the systems businesses already use.”

The cost is in the chasing, not the typing

A 2026 MSI Data customer cost analysis revealed that 93% of the fully loaded cost of producing an invoice comes from the work surrounding it, including chasing down information, reconciling discrepancies, correcting errors, and carrying the cost of delayed payments, rather than the actual invoice entry itself. This pain also causes many small jobs, often under $1,500, to simply go unbilled driving revenue leakage.

Time-to-Invoice targets those information bottlenecks. Rather than relying on back-office teams to manually follow every job, the intelligence layer helps capture complete information earlier, prepares documentation for billing, and directs human attention to exceptions that genuinely need it.

An intelligence layer from job preparation through invoice readiness

Time-to-Invoice helps service organizations unlock cash trapped in completed work by eliminating manual handoffs between the field and back office that delay billing. Powered by AI, the solution automates invoice readiness, reduces rework, and gives leaders visibility into stalled work, including what’s holding up invoices and where revenue is at risk.

Time-to-Invoice bridges the operational gap between field service systems and ERP platforms through three connected capabilities:

• Field execution: Gives technicians relevant job and site context before service begins and identifies missing information while they’re on-site, reducing the need for back-office teams to chase details after the work is done.
• Revenue readiness: Leverage AI capabilities  to transform raw technician notes into consistent, invoice-ready documentation, reviews completed jobs for readiness, assembles supporting information, and routes exceptions for attention.
• Operational intelligence: Provides service and finance leaders visibility into completed work, invoice readiness, aging, causes of delay, and revenue at risk across branches and divisions.

For the first time, service organizations can centralize, automate, monitor, and measure the entire time-to-invoice process, turning a historically fragmented workflow into a visible, actionable, and manageable business performance metric.

Early customer use demonstrates invoice-note readiness

For example, early customer results demonstrate the impact of MSI Data’s Invoice Ready Notes capability, which uses AI to transform technician documentation into consistent, invoice-ready summaries. In an August 2026 customer analysis, 82% of AI-generated invoice notes were accepted for billing with little to no modification. This early success highlights AI’s potential to reduce manual rework and accelerate the path from completed service to billing.

“This is a tremendous opportunity to bring AI into an organization in a way that delivers real, measurable impact,” said Tarrel Graham, co-founder of Solhver, a field service consulting firm. “You can see exactly what it’s doing and the value it’s creating. It’s very rare to find something like this where the load on your team isn’t huge, but the impact is.”

Invoice every job faster, without another system replacement

Time-to-Invoice works alongside existing FSM and ERP systems, connecting field activity with the information required for billing. Invoice-ready documentation remains traceable to the originating job, giving teams a clearer connection between completed work and the billing process.

The goal is straightforward: clear the data bottlenecks across people and systems so completed work moves toward invoicing faster, with less routine chasing and better visibility into stalled jobs.

Service Pro Time-to-Invoice is available beginning immediately.

To learn more, visit www.msidata.com/time-to-invoice.

About MSI Data

MSI Data provides technology solutions for field service organizations, helping service businesses connect field operations, service management, and financial processes. Service Pro product suite is designed to help organizations improve field productivity, automate service workflows, and move completed work toward billing more efficiently. Learn more at www.msidata.com.

marketing@msidata.com 

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SOURCE MSI Data