Industry
Manufacturing is not a vertical we're hoping to enter — it's where our automations run today. At a North American manufacturing and packaging company, our systems handle commission calculation, vendor quote processing, shipment tracking, and invoice reconciliation daily, on the company's own servers, inside the tools their team already used. Every one of them ships with a human approval gate by design: AI drafts, a person on their team reviews and approves before anything touches the ERP.
The grind
Your buyer sends an RFQ to four suppliers and gets back a PDF, two email replies, and a spreadsheet — different units, freight terms, and validity dates in each. Someone retypes all of it into a comparison sheet before the actual decision can even start.
Pulling invoiced sales from the ERP, applying split rules and overrides, backing out credits and returns — days of careful copy-and-paste, where one wrong cell means a hard conversation with a rep.
Matching vendor invoices against POs and receivers means flipping between ERP screens and paper. Most lines match; the hours go to hunting the ones that don't.
Customer service checks carrier sites one tracking number at a time and answers the same status question by phone and email all day, while the open-order spreadsheet drifts out of date.
The split
We automate
Vendor quote processing — extracts price, lead time, and MOQ from emailed quotes into one comparison your buyer approves
Commission calculation — pulls invoiced sales, applies your split and override rules deterministically, drafts statements for sign-off
Invoice reconciliation — runs the three-way match against POs and receivers; clean lines prepared, exceptions flagged for a person
Shipment tracking — gathers carrier status across open orders and drafts customer updates for approval
Customer PO intake — reads incoming POs and drafts work order entries in your ERP, pending a person's confirmation
We protect
Supplier selection — which quote wins weighs quality history and relationships — judgment, not arithmetic
Exception resolution — when a match fails, a person investigates why; that's how your team keeps learning your vendors
Commission sign-off — no statement reaches a rep without a manager's approval
Quoting your own work — margin on a custom job is a decision, never an automated output
How it runs
AI drafts. A person reviews and approves. Nothing touches a live system without a human gate — that's the architecture, not a phase.
The full build architecture →A worked example
Your buyer sends an RFQ for a machined component, and quotes trickle back over the next week as PDFs and email replies. The automation reads each one and drafts a single comparison — unit price, lead time, MOQ, freight terms, quote validity — with a link back to every source document, so nothing is a black box. The buyer checks the lines, corrects anything the extraction got wrong, and approves before a single figure enters the ERP. Choosing the winning supplier stays entirely with the buyer, because that call rests on quality history and relationships no automation should make. And until the process is proven, the old manual comparison runs in parallel — you retire it when you trust the new one, not before.
Yes — that's the normal case, not the exception. We build on your infrastructure and integrate with the systems your team already runs rather than asking you to migrate. The automation prepares entries in your ERP's own format, your people approve them, and nothing writes to a live system without a human click.
Your reviewer catches it at the approval gate, which is permanent by design — not a training-wheels phase we remove later. The AI's job is deliberately narrow: it only extracts text from unstructured documents like emails and quotes. All matching, calculation, and business logic is deterministic code you can audit, so the same inputs always produce the same result.
We'd assume the same in their position, which is why the design says otherwise. Every automation makes one of your people the approving authority, your team keeps the ability to run every process manually, and we deliberately do not automate judgment, review, or decisions. The goal is your team, sharper — not smaller: less retyping, more of the work that actually needs their heads.
We sit with your team, map how the work actually happens, and draw the split: what's worth automating, and what automation should never touch. You keep the map either way.
Map your workflows