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Operations AutomationA system we often build in the first two quarters

Your team spends twenty hours a week moving information between systems. We can give most of those hours back.

Book a 45-minute callTypical build three to five weeks
[01]

The problem

Every growing company runs on a hidden layer of repetitive work. Keying orders from email into the system of record. Reconciling sales across channels. Answering the same customer questions. Matching invoices. Chasing suppliers for confirmations. None of it requires judgment most of the time, all of it requires accuracy all of the time, and it scales linearly with revenue. Growth makes it worse.

You already know what this costs because it shows up as salary. What is harder to see is the opportunity cost. Your best people spend their attention on transcription instead of on customers, suppliers, and decisions.

[02]

What we build

We build workflow agents, each wrapped around one specific process. The agent handles the routine ninety percent autonomously. The judgment-laden ten percent routes to a person on your team with everything pre-filled and ready for a decision.

Modern AI has made the historically expensive parts cheap. Reading a messy order email, parsing an oddly formatted invoice, drafting a response in your company's voice. The engineering effort goes where it should, into reliability. Clean integration with your existing systems, audit trails on every action, and graceful failure that never double-processes a refund.

[03]

What you get

A named process that used to consume a person's day now runs itself, with a human approving exceptions. You see the before and after in hours per week.

The system that does it belongs to you. The agents, the integrations, and the audit trail sit in your accounts, documented for the people who run them.

[04]

What it looks like in practice

A wholesale distributor doing $9M a year received around sixty purchase orders a day by email, every one of them formatted differently and every one of them keyed into the ERP by hand.

Before

Two experienced staff spent most of each morning on data entry. Errors surfaced days later as shipping disputes, and order cutoff times slipped when volume spiked.

The build

An agent reads each incoming order, extracts the line items, checks them against the catalog and the customer's pricing, and enters clean orders directly. Anything ambiguous, a new product code, an odd quantity, a price mismatch, lands in a review queue with the original email and the agent's reading side by side.

After

Roughly nine in ten orders flow through untouched. The review queue takes one person under an hour a day. The two staff who used to do data entry now spend their mornings on suppliers and backorders, which is what they were hired for.

A representative engagement, anonymized

[05]

Where it fits in a Quarter Plan

Three to five weeks

Typical build time

Often the first system in a first quarter. One workflow goes live in the first month, and a second or third follows once the first proves itself. The scorecard tracks time and error rates on each named process.

[ The first step ]

Tell us where AI should be paying off in your business.

In 45 minutes we will tell you where we see the opportunity and whether we are the right fit.