The models work. Infrastructure exists. Software is getting cheaper every year.
The constraint is no longer capability.
It is translation.
Turning general intelligence into something that works inside a specific business — its systems, people, exceptions, and reality.
Today, most AI never reaches production.
Not because the models fail, but because businesses aren’t structured to absorb them.
Data is fragmented. Processes vary by person. Edge cases live in people’s heads. Tools evolved in isolation. And the people closest to the work were rarely asked what would actually help.
So what gets built is usually a demo — not a system that survives real use.
This is where most AI efforts break: between a working prototype and the systems a business actually runs on.
And that gap doesn’t close from the outside.
Not with another platform. Not with a slide deck. Not with a transformation plan.
It closes when someone who can ship production software sits inside the work, understands how it really runs, builds into it directly, and stays accountable for the outcome.
Think of your business as a structure of blocks: every process, every handoff, every decision the day runs on. Most of them were shaped long before AI could carry any weight.
We work inside that structure, with your people, and find the one block — sometimes a few — where a replacement creates the most value.
Then we remove it, build an agentic block in its place, and prove it in production. Then the next.
Block by block, the business becomes AI-first.
Not overnight. And not everywhere — some blocks are exactly right as they are, and part of the job is knowing which ones to leave alone.
The operating stack our forward deployed engineers bring to every engagement. Open any part to read what it is.
The operating stack our forward deployed engineers bring to every engagement. Open any part to read what it is.
Tap a part to read what it is.
The operating stack our forward deployed engineers bring to every engagement. Open any part to read what it is.

Obsessed with the intersection of business and technology — and why companies fail to turn AI’s potential into results. Ran a digital transformation firm, helping businesses and non-profits digitize alongside every level of government, and served as CMO at PandaPay. Based in Barbados, where he works with Caribbean governments — ports, customs, airports, police — on threat- and drug-detection technologies. Today he sells, deploys, and operates every EngineB engagement as principal FDE while building Paddock, the FDE tool suite. He and Marc have worked together in one form or another for 16 years.

Founded PandaPay in 2014 and led the company through its growth and eventual exit at a 40M+ valuation. He brings extensive experience in B2B sales, strategic partnerships, customer experience, and operational leadership. Based in Montreal, Marc leads EngineB’s commercial relationships, business development, and corporate affairs.