Dr. John Bates

You need to make sure your automation behaves the same way every time with the same input.

So you need determinism in automation.

You need determinism in search.

So you want to make sure that there's no hallucinations in your search.

And the way that we do that is with a technique called retrieval augmented generation combined with vectorization so that you can add

real data from documents back into your search.

So you actually zero in on the right information rather than it cooking something up for you.

You need a highly scalable system.

So you're not going to just vibe code

the next generation document management system.

And it needs to be future-proof.

So you need to be able to have what I call composable AI, the ability to map into different large language models, even dynamically.

So you might send particular analyses, requests to a different L&M depending on the specialization.

And then finally, I like to think of sort of you need a checkpoint Charlie.

So if you are going to have agents to vibe code or agents to do certain things, you need to give them defined APIs to access this system so that you preserve trust, determinism, scalability, and the right routes, authorization through this.

the platform.

So these are just some of the things that I think you need to think about when you're embarking upon a next-gen document strategy.

Well, AI is clearly going to change everything, is changing everything, but it's a power that

And like any great power, rather than just let it loose unguarded, we need to have checks and balances around it to make sure it does bring in those trusts.

And I think that's the kind of role that enterprise companies are going to play, enterprise platforms anyway, in their own domains.