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AI engineering

AI that does the weekly work, and waits for your yes.

Audits, feeds, reports, lead follow-up and customer replies, built as agents on the AI your team already uses and connected to your real data. Nothing changes until a person approves it.

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What we build

Six jobs your team repeats every week, handed to agents.

Each one runs first on our own accounts. When we build it for you, it starts from something already tested on live spend.

01 · Audit agent

Daily account audits

Every active ad account read at 7am. A short note lands in your inbox: what moved, what is wasting money, and what it would change.

Replaces the Monday spreadsheet
02 · Feed agent

Product feed pipelines

Supplier files in, a clean Merchant Center and Meta catalogue out. Titles and attributes rewritten by rules you can read.

Replaces manual feed fixes
03 · Report agent

Reports that write themselves

Ads, analytics and store data in one weekly report, with the numbers that moved and a plain English reason for each one.

Replaces hours of copy and paste
04 · Lead agent

Lead routing and follow-up

Every new lead scored, sent to the right person and answered within minutes, with the CRM updated behind it.

Replaces leads going cold
05 · Reply agent

Customer replies and reviews

Replies drafted for email, WhatsApp and reviews in your tone and the customer’s language, checked against the booking or order.

Replaces the inbox backlog
06 · Data agent

Your data, one question away

Ads, GA4, Shopify and your CRM connected through MCP to the AI your team uses, so anyone can ask and get the answer in seconds.

Replaces exports and pivot tables
How it works

Four steps, and nothing goes live on trust alone.

Most agents are live within four weeks. You see the evidence at every step before anything touches your accounts on its own.

Step 01 · Week 1

Map the work

One call to list the tasks your team repeats, the hours they take and where mistakes happen. We start with the one that pays back first.

Step 02 · Week 1 to 2

Connect with least access

Your tools connected through MCP to the AI model you prefer. Read-only first, write access only where you approve it.

Step 03 · Week 2 to 4

Prove it side by side

Two weeks where the agent suggests and your team decides. You see how often it matched a person before it runs on its own.

Step 04 · Ongoing

Hand over and improve

Runbook, training call and a monthly health check, so the agent keeps up as your accounts and products change.

Guardrails in every build

Agents suggest. People approve.

Your accounts, your keys, your data. Switch any agent off with one click.

Talk to us about your first agent
  1. 01Read-only access by default
  2. 02A log of every suggestion and approval
  3. 03Spend limits the agent cannot cross
  4. 04Off switch, any time
Next step

Pick one job. We will build the agent for it.

Talk to the engineer who would build it. You come away knowing what to automate first and what it will take.

01We map the tasks your team repeats every week.
02You see which one pays back first, in hours and money.
03You get a written build plan, yours to keep either way.
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