The back office of a midmarket company is not a problem of technology. It is a problem of integration.
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.
None of these systems were designed to talk to each other. Between them, 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.
They are not junior. Their judgment is rare. What they spend most of their day on is not.
An experienced operations manager can read a supplier relationship in a single email. They can spot the warning in a contract clause, negotiate a variance on the spot, and decide in seconds which edge cases matter. That is the work they were hired for.
Instead, they spend most of their day moving data between systems that should have been connected years ago. We are not building Silkroute to replace these people. We are building it to give them their expertise back.
The previous generation of tools was built for clean data. Most companies don't have clean data.
Zapier requires clean JSON. iPaaS platforms require an engineer and a quarter to configure. Every integration breaks whenever an API version changes. And none of them can read a rotated, handwritten supplier invoice.
This was not a failure of ambition. It was a failure of assumption. The tools assumed the hard part was the routing. The hard part was never the routing. The hard part was the input.
A purchase order is not structured data. It is a PDF with a table in it, rotated three degrees, scanned from a fax, with line items that use the vendor's naming conventions and not yours. Extraction is the problem nobody solved.
Documents are not edge cases. They are the primary interface of the supply chain.
Purchase orders arrive as PDFs. Invoices arrive as scans. Packing slips arrive as photographs taken in a warehouse at 11pm. The data in those documents is real, load-bearing, and legally significant.
TRACE, our document extraction layer, was built for exactly this. Three independent vision models parse each field separately. When they agree, the extraction proceeds. When they disagree, the record goes to a review queue rather than flowing silently into your ledger. 99.4% confidence is not a marketing number. It is the threshold below which nothing moves.
Everyone else solved orchestration. We solved orchestration and extraction.
We agreed with them. Orchestration matters. Routing clean data between systems reliably is genuinely hard and genuinely valuable. The tools that solved it deserve credit for solving it.
We just noticed that in most midmarket companies, the input is almost never clean. So we built the layer that cleans it and then connected it to all the same systems they connected to. The result is an agent that can receive a scanned invoice at 2am, extract its contents with confidence, reconcile it against a contract in NetSuite, flag the variance, and close the loop before anyone arrives at the office.
The person who knows what needs to happen is the operations manager. They should be able to describe it in plain English. The machine should understand.
The interface to operations automation should be language, not code.
The people who understand what the workflow should do are not engineers. They are operations managers, finance directors, logistics coordinators. They know the rules, the exceptions, the edge cases, and the escalation paths. They should not need to translate that knowledge into YAML or a visual flowchart before a machine can act on it.
Silkroute takes a plain-English description and turns it into an execution plan. It shows you exactly what will happen before anything runs. You review it, approve it, and the agents execute it. This is not a distant future. This is what we built.
Black-box automation is not automation. It is a liability.
Every field extraction, every model vote, every escalation decision, every timestamp. When your auditor asks what happened at a given step, you should be able to show them exactly. When a variance was approved, you should know who approved it and when. When a record was flagged, you should know which model disagreed and why.
We built the audit trail into the architecture, not as an afterthought. Operations automation that cannot explain itself is automation you cannot trust. And automation you cannot trust is automation you cannot use.
There are 200,000 midmarket companies in America. Each employs people whose jobs are largely clerical.
We are not trying to eliminate those jobs. The operations manager who spent their day moving data between systems can now spend their day doing the work they were actually hired for: the judgment calls, the relationship management, the strategic decisions that no machine should make.
The goal is not fewer people in operations. The goal is operations people doing operations work. The difference, compounded across 200,000 companies, is enormous.
A midmarket company should run its back office the way a bank runs its clearing house. Quietly, reliably, invisibly.
The work happening. The humans unaware that anything needed to happen, because nothing went wrong, no one had to intervene, no spreadsheet broke, no variant slipped through, no invoice went unreconciled.
Operations as infrastructure. Not a department defined by its backlog, but a system defined by the absence of failure. This is what we are building. Everything else: the models, the integrations, the interface, the audit trails. All of it is a consequence of this belief.
We will not ship a feature we cannot explain. We will not automate a decision we cannot audit. We will not claim confidence we have not earned.
This is what we believe. This is what we're building. We hope you'll hold us to it.
If any of this resonates, whether you run an operations team or are building one, whether you're a customer, a candidate, or simply someone who believes that work should work, we'd like to hear from you.