In this interview, Dmitry Shapiro, CEO of MindStudio, explains how the company has built and deployed over 50,000 AI agents for enterprises, government agencies, SMBs, and individuals across virtually every industry and job function. He outlines the primary categories of AI applications: (1) full automation of repetitive processes such as resume and lead ingestion, where AI can monitor inboxes, extract data, rank candidates, and route information without any engineering effort; (2) partial automation that handles the heavy‑lifting while still involving a human, dramatically increasing speed and quality; and (3) custom AI‑powered employee assistants that replace the myriad generic SaaS tools (the median organization uses about 130 SaaS products) with tailored, enterprise‑managed assistants that understand specific job functions, enforce corporate policies, and can draw on private data. Shapiro emphasizes that MindStudio is model‑agnostic, supporting OpenAI, Anthropic, Google, Meta, Mistral, and on‑premise models, allowing enterprises to choose or host their own models while maintaining control. The overall narrative is that AI can radically improve productivity, reduce reliance on disparate SaaS solutions, and make employees happier by freeing them from tedious tasks.
Chapters
It seems like every company is trying to build some sort of generative AI application at the moment. Are there any popular use cases that you're seeing?
Yes, well, so Mind Studio now has over 50,000 AIs that have been built and deployed across, you know, giant enterprises, government agencies, small and medium sized businesses, individuals, you know, so, and sort of across, I think every industry is represented in pretty much every job function represented. So we get to sort of have this interesting vantage point of seeing how organizations are sort of adopting and refactoring and sort of evolving using AI. And we publish on our website like an interactive matrix where you can go through sort of by job function of common patterns we see. But I'll give you sort of a peek into it. So sort of the primary uses for AI again built with Mind Studio are things that allow for, for example, complete automation of processes. Right, I'll give you an example. You know, there are organizations that get thousands and thousands of resumes that show up via email and they've got people sitting there that are like scanning these resumes and trying to figure out which ones are incomplete and reaching out to people, asking for more information and trying to figure out how to rank them and route them to the right sources. Right. It's like full time job for a bunch of people. It doesn't need to be. You can in whatever half an hour, without any engineers involved, build an application that watches the inbox and does all of those things. And so those poor people can now go on and do things that are more interesting and more productive than doing that or you know, lead ingestion. You know, every, you know, website in a sense has a contact form. Some are quite busy of like this is the way people try to contact the business, get more information, try to buy a product, et cetera. Those are typically monitored by individuals that sort of look at the form and again potentially might need to reach out and get more information and disambiguate and take that data and put it in some other system and like CRM or something else, pass it on to a salesperson, account rep or whatever. Like all of that can be automated. You don't need to do any of that as a human. So it's like automation, complete automation. Then sort of next batches of things are like partial automations, things that still need humans involved. But an AI can be built to do a lot of the heavy lifting. So the human now is able to just lift dramatically more than they ever could and sort of operate much faster with higher quality audio. So it's like tons of applications like that. And then beyond that for things that still require a lot of human interaction. Organizations are saying well could I now build custom AI powered applications for our employees that are specifically built for doing what they do, not using like off the shelf SaaS that we've all used for years now. Like there's a stat that came out recently that I think median organization has 130 some odd SaaS products that they, that they use. This is insane. Doesn't make any sense. Why? Because those are all sort of generic products that we cobbled together to create these like weird information systems that we have today. Well, AI changes all of that. So now an organization can very rapidly again even without developers being involved, just like regular business users can learn to use Mind Studio and very rapidly build for themselves custom business applications that are AI powered, made to fit like a glove and like dramatically make them more productive. Yeah. And get do the things they don't want to do like make them happier. Happy employees are more productive employees. Okay. And then you know, many other things like you know there are still times that it's valuable to be able to just like chat with, with a large language model. Right. You're just doing some enumeration, like some ad hoc research or thinking. Well today a lot of employees are using ChatGPT or cloth like these basically sort of commercially available consumer type things. Right. And so what Mind Studio lets enterprises do is to sort of replace that kind of usage and give employees enterprise grade, you know, made by the enterprise for each job function of a team member personalized assistant that uses any of these models, you know, mind Studios. Actually I probably should have mentioned this model Agnostic, we support all the models. OpenAI, Anthropic, Google Meta, Mistral, Open source organizations are connecting them to private models in their own private clouds or on premise or any model. And so these specialized assistants can use any model but are managed by the enterprise, can enforce rules of the enterprise, understand the job function, require much less prompting, can reference data from the enterprise so they're not just like making stuff up but using real data. So it's like really comprehensive tool set that again has over 50,000 of these things that have built but again mostly fall into these categories and then by job function depending on what you are. If you're sales you're doing lead injection, if you're HR ingestion, if you're HR you might be doing resume ingestion but the pattern's kind of similar. It's like stuff that an AI can do, you can just build and make your organization radically better.
