Quisitive recently brought together business and technology leaders for Agentic AI in Action: Unlocking Business Value Beyond Copilot. The conversation, led by Jimmy Ledbetter, Vice President of AI Strategy and Solutions, explored how Agentic AI is moving far beyond simple automation to become a true framework for digital employees, fueling transformation and delivering measurable ROI. 

Why Agentic AI Matters

Agentic AI is rapidly shifting the AI conversation from “what can this model do?” to “how do we design digital employees that drive real outcomes?” Jimmy explained that the next frontier of AI isn’t just about generating text or answers it’s about reasoning, planning, and executing complex workflows across business systems.

In the webinar, Jimmy emphasized that Agentic AI represents a shift from traditional automation to something more powerful, digital employees capable of handling complex, repeatable tasks. For organizations, this means not only reducing repetitive workloads but also enabling new levels of agility, responsiveness, and measurable ROI. 

Key Themes and Takeaways

1. Beyond Copilot – Building a Complete AI Ecosystem

Many organizations begin their journey with Microsoft 365 Copilot, a natural entry point for introducing AI into productivity apps. But the real potential comes when Copilot is combined with: 

• Copilot Studio for low-code workflows 
• AI Foundry for customizable, pro-code agent development 
• Microsoft Fabric for unified data pipelines and analytics 

This continuum, from no-code to pro-code, lets AI scale with business needs, from simple tasks to enterprise-wide orchestration. 

2. From Prompt Engineering to Context Engineering

Relying on one-off prompts won’t cut it. Organizations must shift toward context engineering, curating the right datasets, knowledge bases, and integrations so that agents are well-informed and trustworthy. As Jimmy noted, “Instead of asking PhD-level answers from one-sentence prompts, give your AI the information it needs to perform like a skilled teammate.” 

3. Model Context Protocol (MCP)

MCP (Model Context Protocol) is like a universal connector between AI agents and enterprise systems. Similar to how USB standardized hardware connections, MCP streamlines how agents plug into tools like databases, CRM systems, and collaboration apps, bringing consistency, security, and reliability to automated workflows. 

4. Real-World Use Cases

Jimmy highlighted scenarios where Agentic AI is already creating measurable impact: 

• Customer Service: Omnichannel orchestration cutting resolution time by up to 50%
• Document Processing: Automated PDF routing that reduces overhead and improves accuracy 
• Sales: Lead qualification, personalized outreach, and pipeline optimization 
• Compliance: Faster audit prep and automated regulatory adherence 
• Supply Chain: Predictive workflows reducing costs and improving resilience 

5. Keep Humans in the Loop

Despite the impressive capabilities of Agentic AI, Jimmy emphasized that people remain at the center. AI should act as an assistant and amplifier, not a replacement. “Let AI be the editor, not the author,” he explained, underscoring the importance of human oversight in decision-making. 

What This Means for Organizations

The organizations that thrive in this new era will be those that:

• Embrace Agentic AI as a strategic layer across the business
• Invest in secure, governed data foundations so agents operate with accuracy and compliance
• Train teams to collaborate with digital employees rather than work around them

Agentic AI is no longer experiential, its operational. Businesses adopting it now are already seeing higher ROI, Faster time-to-market, and improved experiences for both customers and employees.

Watch the Webinar On-Demand

If you missed the live session, you can catch the full recording and explore these insights in greater depth:

Watch now