3 Mistakes Leaders Make With Agentic AI

Discover why specialized AI delivers faster ROI, deeper integration, and fewer false starts.

Agentic AI works. But many leaders don’t know how to make it work for them.

To help you avoid this, our VP of Engineering and Head of Growth share the 3 mistakes they see business leaders make again and again with agentic AI.

It’s a quick, honest breakdown (~6 min), and a must-read before implementation:

With thousands of AI solutions flooding the market, how do you separate signal from noise?

Which solutions are built to last, and which are just pitch decks dressed up with LLMs?

Austin Moss, a veteran investor and founder of multiple companies, shares how he screens AI startups and insights every business leader needs when choosing AI vendors or partners.

We covered:

  • Why customer traction and domain depth matter more than flashy demos

  • The red flags of general-purpose AI tools with no real use case

  • Why vertical AI solutions offer faster ROI and deeper integration

  • How smart buyers filter startups using tools but make decisions based on trust and proof

  • How to tell if an AI vendor’s claims hold up in real-world use

Not all AI platforms are built the same.

In this new clip, we break down the key difference between horizontal agentic AI platforms like Microsoft Copilot Studio and vertical platforms like Multimodal.

While Copilot tackles broad, repeatable tasks (think: email or CRM workflows), Multimodal is designed for the deeply complex, high-stakes processes unique to finance and insurance like claims, underwriting, and loan origination.

If you're still using general-purpose AI for specialized workflows, it might be time to rethink your strategy.