Experience-led workflow
The workflow is shaped around real service counter pain: fast intake, clearer estimates, signed decisions, and fewer dropped follow-ups.
About TorqueLedger
TorqueLedger is a focused shop operating layer for repair orders, approvals, invoices, payments, follow-ups, scheduling, customer records, and owner visibility.

Operating focus
The product is built around the repair shop tasks that become expensive when they drift: approval proof, declined work, unpaid balances, scheduling visibility, parts detail, and clean accounting handoff.
The workflow is shaped around real service counter pain: fast intake, clearer estimates, signed decisions, and fewer dropped follow-ups.
Customer approvals, invoices, payment notes, and vehicle history stay attached to the job so the shop has a defensible record.
Founding shops get setup help for customer import planning, shop settings, invoice workflow, messaging, payments, and staff training.
Founding 50
TorqueLedger is opening early access to a limited group of repair shops that want a simpler path from estimate to paid invoice.
Operating focus
Independent repair shops do not need another oversized platform that hides the simple work. TorqueLedger focuses on the front-counter chain that creates cash flow: customer intake, vehicle record, inspection notes, estimate approval, invoice, payment, balance, reminder, and owner visibility.
That focus keeps the product easier to adopt for small teams while still leaving room for integrations with email, SMS, accounting, payments, calendars, parts catalogs, and training tools.
For independent shops
The product is shaped around the moments where small shops lose time or revenue: searching for the last repair, rebuilding an estimate from memory, explaining a recommendation twice, forgetting a balance, or failing to follow up on work the customer already understood but delayed. TorqueLedger keeps those items in a single workflow so staff can move faster without losing accountability.
That makes it a better fit for teams that want cleaner process before they want a giant software stack.