Free guide · 20-minute read
"What are we doing about AI?"
A straight answer for engineering leaders. Five things AI can already do in Inventor and Vault, three things it can't yet – and the one thing to fix before any of it works.
If that question has landed on your desk, you don't need another headline. You need to know what actually works on real engineering work, what doesn't, and where a sensible shop starts. This guide is that answer – written by the team that connected AI to Inventor the week the protocol was released, with million-file Vault migrations behind it.
Get the guide
We send each copy personally, within 1 business day – and we honour your inbox: no drip sequence, no daily emails.
What's inside
One problem, answered properly: what should an engineering business actually do about AI? No hype, no headlines – the working reality.
Five things AI can already do
In Inventor and Vault, today, on real production work – modelling with self-checks, drawings at scale, data management in the same conversation, copy design, and reading your old library into a knowledge base.
Three things it can't do yet
The honest edges – where a human still finishes the job, and why anyone who claims otherwise is selling you a demo.
The one thing to fix first
Why generic AI fails in a real shop, and what has to be in place before any AI tool earns trust: knowledge of how your company works.
Who's answering
We know what it feels like to be asked "what are we doing about AI?" and have nothing concrete to say – every engineering leader we talk to has had that moment in the last year.
Modern CAD built the first AI connection to Autodesk Inventor and has run engineering data migrations from 20,000 files to over 2 million, for companies like Boral and Origin Energy. The guide comes from what we've watched work – and not work – on real parts, real drawings and real Vaults. Not from headlines.
Rather just talk it through? Start the conversation