Kat Hutcheson.

How to run an AI-first operation

The old CPG playbook isn't worth automating.

I’m Kat Hutcheson. A decade in global supply chain, most of it at PepsiCo. Data science at the University of Chicago. Now Head of Operations and Strategy at oac snacks, a 4-person CPG startup in Cork. Agents I built run our supply planning, Shopify data stack, and daily ops reporting, against a real P&L.

You can run the same systems: a kit you install yourself, or installed with me. I train ops teams, and coach founders, execs and ops leaders one to one, until AI is a tool they actually use day to day. The old playbook assumed big teams and big budgets. I’m rewriting it for companies with neither.

See the agents Work with me

Work with me

Available now
  • Free fit call, 15 minutes
  • AI Fast Track, 1:1 for founders, execs and ops leaders
  • AI ops audit, credited toward an install
  • AI for Ops training · Speaking
See all ways to work with me

The agents

Two systems I run at oac every day, rebuilt for brands on Shopify and spreadsheets, no ERP. Kits first, or installed with me.

Replenishment planning

Supply Planning Agent

Coming soon

You find out about a stockout after it's happened. This agent owns replenishment: run-rates, inventory, reorder signals, and out-of-stock flags before they cost you a stockist.

Join the waitlist → Master data for commerce

Shopify Ops Starter

Coming soon

Your SKUs, costs, barcodes and vendors live in four places and disagree. This agent keeps one clean record across Shopify, trade sheets and invoices, ready for every automation you build.

Join the waitlist →
Coming for founders and lean teams

Not ready to hire anyone, including me? Tell me what would actually be useful to you, and I'll build that first.

The build library

The builds behind the products: the code, a leverage rating out of 10, and where each one failed. Wondering if I can build this? Start here.

  1. 03 8 July 2026

    oac's brain, part 1: the data layer

    Every agent I run sits on the same data layer: one Google Sheet workbook as the single source of truth, fed by scheduled Python syncs with health checks. The full wiring: source-by-source workarounds, the rules that keep the numbers honest, what failed first, and a where-to-start map for building your own.

    Read the build →

    data foundationsautomationagents

    Leverage 6/10
  2. 02 11 June 2026

    Free replacements were quietly wrecking my numbers

    A lost parcel means a free replacement. Process it wrong and it corrupts every number downstream: pads orders, tanks AOV, tells your demand model you sold what you gave away. Here's the tagging standard and the skill that does it right.

    Read the build →

    customer opsfinanceautomation

    Leverage 3/10
  3. 01 5 June 2026

    My daily briefing, and how it's changed three times

    Every morning an agent writes me a briefing before I'm at my desk: what needs action, what's slipping, what to prep. It started as a glorified summary. Here's how it became something I run my day on.

    Read the build →

    reportingautomationagents

    Leverage 4/10
Browse all builds →