Pragmatic Applications of AI and Agentic AI with Joseph Rose of JBS Dev

Pragmatic Applications of AI and Agentic AI

with Joseph Rose, President, JBS Dev

In this Technology Executives Club® leadership briefing, Joseph Rose, President of JBS Dev, walks through the realities of large language models (LLMs), agentic AI, orchestration, and emerging standards like MCP—while Alex Jarett listens in real time and asks the same clarifying questions technology executives are asking behind closed doors.

The result is a grounded, executive-level conversation that turns complex AI concepts into something leaders can actually understand, evaluate, and act on.

Key takeaways from the briefing

1) LLMs are an evolution of neural networks—and the breakthrough was data + compute
Joseph frames modern LLMs as specialized neural networks trained on massive datasets. The leap forward came from cheaper compute and internet-scale data—not magic. For executives, this reframes expectations: today’s opportunity is about implementation, not waiting for the next breakthrough.

2) The real enterprise value: mid-level reasoning at scale
Through real-world examples, including healthcare, Joseph shows how LLMs can assist with decision support by identifying patterns and omissions—without replacing licensed professionals. The models inform humans; humans remain accountable.

3) Agentic AI, demystified
Agentic AI isn’t a mysterious new category—it’s an LLM generating API calls instead of just text. Joseph explains how this enables chat-based operational workflows where users can request actions and systems respond, without sprawling admin interfaces.

4) MCP, APIs, and why architecture suddenly matters more
As Joseph explains MCP (Model Control Protocol), the conversation highlights a key leadership insight: organizations with clean, API-driven architectures will move faster with AI agents. Those relying on brittle, file-based systems will struggle.

This reframes long-standing IT modernization efforts as AI enablers, not just technical cleanup.

5) Guardrails belong in business logic, not prompts
One of the most important takeaways: LLMs are non-deterministic. That means critical constraints—security, compliance, authorization—must live in APIs and business logic, not in prompts.

 6) Why AI projects fail (and how to avoid it)
The discussion addresses common misconceptions head-on:

• AI doesn’t need to be a massive, multi-year initiative
  
  
• Training your own model is rarely necessary
  
  
• LLMs are more resilient to messy data than traditional analytics
  
  
• Models aren’t learning your data in real time the way fear-based messaging suggests
  
  

The session consistently brings the conversation back to business value, constraints, and realistic execution.

How executives should think about getting started

Rather than “adding AI everywhere,” Joseph recommends starting with known workflow friction—areas where humans are overloaded, jumping between systems, or reviewing massive volumes of information.

The combination of LLMs and agents can either:

• Automate execution across systems, or
  
  
• Triage and escalate decisions so humans focus where judgment is required
  
  

This framing helps leaders see AI as a capacity multiplier—not a replacement strategy.

Watch the full leadership briefing

If you want a clear, executive-level understanding of AI terminology, trends, and practical application—without hype—this session delivers.

▶ Watch: Pragmatic Applications of AI and Agentic AI with Joseph Rose, President of JBS Dev
on TechnologyExecutivesClub.com

About Joseph Rose (brief background)
Joseph Rose is President of JBS Dev. He joined the firm as a developer in 2012, advanced through senior delivery leadership, and was named President in 2021. He holds bachelor’s and master’s degrees in computer science from Georgia Southern University.

About JBS Dev (brief background)
JBS Dev is a strategic technology partner delivering pragmatic solutions across AI/GenAI, data and BI, mobile, cloud, custom software, and enterprise technologies. The firm supports clients from Fortune 100 enterprises to SMBs and high-growth startups and is an AWS Advanced Tier Services Partner with Retail Competency and a Microsoft Solutions Partner.

Have an insight you’d like to share? Reach out to Alex Jarett, Founder, Technology Executives Club®.  
Reach out here.