Stop retyping orders, invoices and shipping documents

We build automations that read the documents your team receives, check them against your own data, and enter them into your ERP, accounting or CRM. People only see the exceptions.

Fixed-price projects. You own everything we build.

Illustration: an emailed purchase order read, checked against the price list, and drafted into the ERP, with one exception routed to a person.

We connect the software you already run, including

  • NetSuite
  • QuickBooks Online
  • Xero
  • Sage Intacct
  • Dynamics 365 Business Central
  • Salesforce
  • HubSpot
  • Microsoft 365
  • Google Workspace
  • Shopify

AI automation services built around one process at a time

Most operations teams do not need an "AI strategy". They need the 300 purchase orders a week to stop being typed by hand, the supplier invoices to reach the accounting system without three people touching them, and the shared inbox to sort itself.

That is the work we do. We pick a specific, measurable process, map exactly how it runs today, and replace the manual steps with software that connects to the systems you already use. Where a decision involves money or a customer, a person stays in the loop and approves it.

Every project is fixed-price, documented, and handed over in accounts you own. If a process is not worth automating, we tell you during the assessment rather than after the invoice.

Signs a process is ready to automate

If two or more of these describe a task in your business, it is likely costing more than an automation would.

  • The same data is typed into two systemsOrders arrive by email and get keyed into the ERP, then again into a spreadsheet or shipping tool.
  • Documents arrive as PDFs or scansInvoices, purchase orders, bills of lading and forms are read by eye and transcribed field by field.
  • A shared inbox needs a person to sort itSomeone spends the first hour of every day forwarding, tagging and replying to routine messages.
  • Reports are rebuilt by hand every weekNumbers are exported, pasted into a spreadsheet, reformatted and emailed on a schedule.
  • Errors are found after they cost moneyA wrong price, a duplicate invoice or a missed delivery date gets caught by a customer, not by your process.
  • Volume growth means hiring for data entryEach new customer or location adds administrative work at the same rate it adds revenue.

What changes: purchase order entry at a distributor

An example of the kind of workflow we automate. Volumes and steps vary by business, which is why every project starts with measuring your version of it.

Today

  1. Customer emails a PDF purchase order to a shared inbox.
  2. A coordinator opens it, finds the customer in the ERP and creates a sales order.
  3. Each line is typed in, and the SKU and price are checked against the price list by eye.
  4. Mismatches are emailed back and forth, often days later.
  5. The order confirmation is written and sent by hand.

After automation

  1. The PO is picked up from the inbox the moment it arrives.
  2. Customer, ship-to, dates and line items are extracted and matched to ERP records.
  3. Prices and quantities are checked against the price list and stock automatically.
  4. Clean orders are drafted in the ERP; only mismatches go to a person, with the reason shown.
  5. Confirmation is sent automatically once the order is approved.

Illustrative workflow. Typical results depend on document quality, how consistent your customers' formats are, and how clean your master data is. We measure all three during the assessment.

How a project runs

Four stages, each with a clear deliverable, so you can stop at any point with something useful in hand.

  1. Assessment

    We map the process with the people who do it, measure volumes and time, and define what "done" looks like.

    1–2 weeks
  2. Build

    We build the automation against your real systems and sample documents, with a test plan you sign off.

    2–8 weeks
  3. Pilot

    It runs alongside your team on live work. We track accuracy and exceptions, then tune before full cutover.

    2–4 weeks
  4. Run and support

    We monitor it, fix what breaks when a vendor changes something, and extend it as volumes grow.

    Monthly plan

How we work differently

  • We design for the exceptions first

    Any tool can process a clean document. The value is in what happens with the 10–20% that are not clean: missing fields, unknown customers, wrong prices. We design that path first.

  • People approve anything that moves money

    Automations draft, match and flag. Payments, credits and customer commitments are approved by a person unless you explicitly decide otherwise.

  • You own what we build

    Workflows, code, prompts and documentation live in your accounts. If you stop working with us, everything keeps running.

  • Fixed scope, fixed price

    You get a written scope and a fixed price before we build. Changes are quoted before they are made, never billed by surprise.

Common questions

What does an automation project cost?

Most single-process projects fall between $10,000 and $40,000, depending on the number of systems involved, document variety and how many exceptions need handling. Assessments start at $2,500 and the fee is credited against the build if you go ahead. See pricing for details.

How long until it is running?

A typical project takes 6 to 12 weeks from assessment to full cutover: one to two weeks of assessment, two to eight weeks of build, and a pilot of two to four weeks running alongside your team.

Do we need to replace our software?

No. We integrate with the systems you already use through their APIs, email, file exports or, where nothing else exists, carefully controlled screen automation. Replacing core systems is rarely necessary.

Is AI accurate enough for invoices and orders?

On its own, not always. That is why we combine extraction with validation against your own records, such as customer lists, price lists and purchase orders, and send anything uncertain to a person. Accuracy is measured during the pilot before anything runs unattended.

What happens to our data?

Data stays in your systems and in services you approve. We use business-grade AI providers that do not train on your data, and we document every place data flows. See security and data handling.

What if something breaks later?

Automations are monitored, and failures alert us before they become your problem. Our support plans cover fixes when a vendor changes a format or an API, plus small improvements each month.

Find out what one process could save you

Book a paid automation assessment. We map the process with your team, measure the time it takes, and give you a fixed-price build plan with expected savings. If automation is not worth it, we will tell you.