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Agentic AI for AutoCAD Built for Engineering Firms That Need More Capacity, Not More Headcount

For years, engineering firms have been told the answer to growth is simple: hire more people.

But after spending years inside engineering drafting environments, I kept seeing the same problem.

Firms weren't running out of work.

They were running into bottlenecks.

Projects slowed down. Senior engineers became reviewers instead of designers. New staff took months to become productive. And despite strong demand, many firms found themselves stuck at the same delivery capacity year after year.

At the same time, AI arrived.

Everyone was talking about it. Everyone was experimenting with it. And most engineering leaders were left wondering what was real, what was hype, and what could actually be trusted inside a production environment.

What stood out to me was that drafting was one of the few areas inside engineering delivery that could be measured clearly.

Unlike engineering design, where various forms of automation already existed, drafting remained heavily dependent on manual workflows, tribal knowledge, and inconsistent standards. Where automation did exist, it was often locked behind expensive software or rigid template systems that rarely reflected how firms actually worked.

So, I started experimenting.

Not with AI alone, but with the combination of drafting standards, structured workflows, automation, and Agentic AI.

What began as curiosity turned into an 18-months (& counting) journey.

I spent countless hours building, testing, refining, and documenting systems that could reliably automate drafting workflows without sacrificing control, consistency, or engineering oversight.

Along the way, I started sharing what I was learning through my YouTube channel.

Something interesting happened.

Engineers, CAD managers, drafters, and firm owners started reaching out.

The conversations were remarkably similar. Different disciplines. Different project types. Different countries.

But the same underlying challenges.

Inconsistent standards. Limited capacity. Too much time spent on repetitive drafting work. Too much reliance on a handful of key people.

That was the moment I realised this wasn't just a problem I was interested in solving.

It was a problem engineering firms everywhere were actively struggling with.

That's when I decided to go all in.

The result became the SET Framework™.

Standards (or Skills). Engine. Tools.

Every automation system I build starts with standards. CAD standards, templates, layer structures, dynamic blocks, workflows, naming conventions, and the rules your team follows every day.

Those standards become the engine that drives workflow decisions, automation logic, and deterministic Agentic AI.

Only then do the tools come into the picture.

AutoCAD, dynamic blocks, scripts, automation systems, and AI all work from the same foundation.

Because reliable automation isn't created by AI alone.

It's created when standards, systems, and tools work together as a single production environment.

Unlike traditional automation consultants, I come from an engineering drafting background first. I've spent more than eight years working directly inside AutoCAD across structural, civil, mechanical, electrical, process, and industrial projects. That experience allows me to bridge two worlds that rarely meet successfully: engineering production and software automation.

18+ Months

Developing and Refining the SET Framework™

5-Star Client Reviews

From Engineering Automation Projects

Designed Around Each Firm's Existing Standards & Workflows

100% Custom-Built Systems

80–90% Workflow Time Savings

Achieved In Recent Automation Implementations