Supplier packing slip chargebacks.
Extract line items from incoming packing slips, match against the purchase order, and trigger a chargeback in Shopify when quantities are off. A human only sees it when variance exceeds 2%.
Silkroute connects the systems your back office runs on and puts AI agents in between. Describe what needs to happen in plain English. The agents execute it across 95+ integrations, extract data from whatever documents arrive, and escalate to a human only when the situation requires it.
A midmarket business runs on ten to twenty disconnected systems. Someone has to move data between them. That someone is expensive, error-prone, and unavailable at 2am when the batch job runs.
The back office of a midmarket company in 2026 is a stack of systems that were never meant to talk to each other. Shopify on top of Amazon on top of a 2012 NetSuite instance on top of a QuickBooks account nobody has shut down. Around the edges, three Slack channels, a Zendesk workspace with seventeen open tabs, and a spreadsheet that has quietly become critical infrastructure.
Between all of these, there are people. Skilled, overqualified people whose actual job, if you watch them work, is to copy a number from a PDF into a text field, click a button, and wait for a page to load. Then do it again. Then find out at month end that something did not match.
This is exactly what the last generation of tools could not handle. Zapier requires clean JSON. iPaaS platforms require an engineer and a quarter to configure. Integrations break whenever an API changes. And none of them can read a rotated, handwritten supplier invoice.
No flowchart editors. No YAML. No engineering tickets. Your operations manager builds a workflow in plain English and it runs that night.
TRACE, our document extraction layer, parses whatever arrives. Rotated invoices, scanned receipts, handwritten packing slips. Three models vote on every field independently. Disagreement routes to review rather than flowing silently downstream.
Write the rule in plain English. Silkroute turns it into an execution plan, selects the right tools, and shows you exactly what will happen before anything runs.
Agents run the workflow across your tools. They retry on failure. They wait for upstream systems. They escalate to a human only when the situation requires it. Otherwise you do not hear from them.
Every other automation tool assumes clean, structured data between APIs. That is not how midmarket operations actually work. TRACE reads documents the way they arrive: rotated, scanned, handwritten, poorly formatted. It turns them into structured data that workflows can act on.
Three independent vision models parse each field separately. When they agree, extraction proceeds. When they disagree, the record goes to a review queue rather than flowing silently into your ledger.
Rotated invoices. 200dpi faxes. Multipage supplier packing slips. Handwritten corrections over printed totals. If it arrives in your inbox, TRACE reads it.
Workflows execute only on confirmed extractions. When confidence falls below threshold, the record sits in the queue until a human reviews it. Nothing enters your systems on a guess.
Every field extraction, model vote, and escalation is timestamped and stored. When your auditor or CFO asks what happened at a given step, you can show them exactly.
Silkroute connects to the systems you already run. Nothing gets replaced. The agents sit in between, move data across them, and handle the exceptions that previously required a person.
A few examples of what Silkroute runs in production today. Each one was built by an operations manager, not an engineer.
Extract line items from incoming packing slips, match against the purchase order, and trigger a chargeback in Shopify when quantities are off. A human only sees it when variance exceeds 2%.
Match orders from Shopify, Amazon, and retail POS against payouts in Stripe and bank deposits. Discrepancies surface immediately rather than accumulating into a month-end problem.
A customer emails a return request. Silkroute verifies the order, generates the label, issues the refund per policy, updates inventory, and notifies the support channel before the ticket is assigned. Edge cases go to a human.
We killed three full-time data-entry roles in our back office and redirected the budget into sales. Silkroute paid for itself inside the first month.
Our operations manager set it up in plain English. It has been running every night since across forty accounts, without a single engineering ticket.
Other tools could not handle our supplier PDFs. Silkroute reads them more accurately than our team did, and it runs every day regardless of what is on the calendar.
Sixteen ops patterns, ready to preview. Pick one, see it run, then adapt it.
Type any back-office process in plain English. Silkroute plans it, maps it to the right tools, and shows you the workflow as it would actually execute.
We will show you how Silkroute handles the specific operations you need to automate. Usually 30 minutes, always with one of the founders.