Building the AI Factory and Lessons on Agentic AI with Maurice McCabe

In this episode of Open Tech Talks, host Kashif Manzoor sits down with Maurice McCabe, founder of AIASystems, AI specialist, and software architect with decades of experience in Silicon Valley and Los Angeles. Maurice shares his journey from early machine learning applications in mobile advertising to leading-edge work in Generative AI and Agentic AI systems.

The conversation on the concept of the AI Factory, a framework that transforms enterprise workflows and subject-matter expertise into scalable AI startups and SaaS products. Maurice explains how his team is building real-time AI agents, avatars, and voice-based AI systems.

He also introduces the ADAPT methodology, designed to help enterprises accelerate AI adoption and move beyond slow, traditional management cycles. Key insights include how to evaluate AI maturity models, integrate generative AI into an enterprise architecture, and address the security challenges posed by unstructured data.

Listeners will learn practical lessons for founders, consultants, and enterprises from how to bootstrap AI ventures and filter out hype, to why unstructured data is emerging as the next frontier of enterprise AI innovation.

Episode # 168

Today's Guest:

Maurice McCabe, Co-Founder of AIA Systems

He has spent 20 years developing systems that ensure things actually work, from scalable SaaS platforms and real-time data pipelines to voice agents deployed in production environments.

• Website: AIASystems

What Listeners Will Learn:

• How enterprises can spin off niche products from workflows and subject-matter expertise.
• Emerging trends such as real-time avatars, voice-based agents, and multi-agent swarms.
• Why LiveKit, WebRTC, and specialized APIs are enabling scalable real-time AI systems.
• Lessons on cash flow, partnerships, and productivity tools for founders entering the generative AI space.
• A framework to help enterprises strategically adopt AI and outpace competitors.
• How to assess readiness through data, processes, and accessibility for generative AI adoption.
• Current gaps, risks of prompt manipulation, and the need for evaluation loops in AI systems.
• How to integrate unstructured data workflows into existing structured enterprise systems.
• Techniques for filtering hype, testing pilots, and staying grounded while AI evolves weekly.

 

Resources:

• AIASystems