AI marketing systems that run on your stack and survive the handover

Custom tools, apps and workflows built around how your team works, then deployed, monitored and handed over.

See the case studies

What gets built

Most AI projects stall after the demo. The tool works beautifully in the meeting. By Thursday it is a bookmark.

I build content pipelines, data extraction, inbox triage, internal ops tooling and dashboards, deployed on your stack with hardened access, containerised services and monitoring. Designed for the person who has to run it every week.

How an engagement runs

It starts with a working session on the processes eating the most hours. We pick one with a measurable before-number.

I build the first version inside two to three weeks and put it in front of the people who will use it. Then we fix what breaks, document it, and move to the next one. You own the code, the infrastructure and the documentation at every point.

What you get

  • A deployed, running system you own outright.
  • Monitoring and failure handling, so it fails like a smoke alarm and not like a submarine.
  • Documentation your marketing coordinator can follow at 4:45 on a Friday.
  • A measured before-and-after on the hours or spend it was built to reclaim.

Bring me the messy part.

What is running, what it costs, and where it breaks.

Toronto, ON · working across North America