We filter the AI noise and build what your business will actually use.

Before a customer meets it, we make its worst day happen.

In one bounded place, next to an untouched copy, so we can see exactly what broke. Eight things get tested every time:

• Data exposureWhat it sees that you didn't intend.
• Prompt injectionCan it be talked into ignoring you?
• Human oversight gapsDecisions with nobody's name on them.
• Failure modesWhat it does on its worst day.
• Logging and audit trailCan you reconstruct what happened?
• Data consentAre you allowed to feed it that?
• ComplianceCan you prove it to an auditor?
• Model selectionIs your model defensible?

The order is in Shopify, the question is on WhatsApp, and the refund sits in a spreadsheet.

We connect them through their APIs, or through MCP where a tool supports it. An agent can see all three before it answers, and a person sees one view instead of five open tabs.

We also set up Claude Code and Grok for your team, wired to the same tools, so the people who work with AI every day use it on your real data.

One board for the morning check.

New enquiries waiting on a person, the pipeline by stage, unread WhatsApp threads, stock at its reorder line, and the brief that goes to your team's phones. Built around the numbers you already look at every day.

Out of everything AI can do, we build the few things you'll use every day.

Each one does one job, knows where that job ends, and hands the rest to a person. These are systems we've already built and run:

• WhatsApp orderingtakes the order, confirms cash on delivery, checks stock.
• Calling and qualifyinganswers inbound calls, asks the right questions, books the ones worth your time.
• Screeningreads every application against your criteria and brings forward a shortlist.
• Website chatbotanswers from your own pages and refuses what it shouldn't answer.
• Operations deskleads from WhatsApp, the pipeline, stock and the team's daily brief on one board, with an agent sorting what came in overnight.
• Content enginebrand documents, fresh and evergreen topics, drafts, visuals and publishing for several brands from one place.

For e-commerce, we built πCounter.

Five agents watch your storefront, orders, customer conversations, ads and money, write to one record, and bring you the change with the evidence attached.

πCounter has its own home and takes its own enquiries. If your store needs something it doesn't do, we build that part custom.

Leads called back before you're at your desk.

Every application read, the last one as carefully as the first.

It screens each application against your criteria and brings forward the candidates worth a real conversation. People make the decisions.

Already running AI? We'll try to break it, whoever built it.

Two weeks, fixed scope, priced as a project. We send it the inputs nobody rehearsed: the angry customer, the half-finished order, the message written to trick it. You get a ranked list of what we found and the order to fix it in.

You keep the keys.

The code, the documentation and the deployment access are yours from the first day. We train your team to run it and change it, then watch it live for two weeks after launch.

If we've done the job properly, you need us less each month.