As AI systems move from experimentation to production, the challenge is no longer just building agents—it’s making them interoperable, reliable, and enterprise-ready. In this session, we’ll introduce BKO AI’s Deep Search Agent and show how the Model Context Protocol (MCP) is enabling a new generation of industrial-grade AI agents.
We’ll also share our vision of Agent-as-a-Service (AaaS): a model where organizations don’t just subscribe to software, but to adaptive AI agents that integrate seamlessly into existing systems, governed by open standards like MCP.
### 🧠 What to Expect
In this session, we’ll:
- Unpack the Deep Search Agent
Learn how BKO AI’s agent conducts domain-spanning research, synthesizes knowledge, and delivers results far beyond traditional keyword search.
- Understand MCP in Practice
See how the Model Context Protocol standardizes communication between agents and tools, enabling consistent, scalable, and maintainable integrations across enterprise systems.
Explore how enterprises can transition from software subscriptions to agent-driven services that adapt dynamically to workflows, data sources, and operational requirements.
Watch the Deep Search Agent powered by MCP, demonstrating real-world applications and the potential for large-scale deployment.
You’ll leave with a practical understanding of how MCP lays the foundation for interoperable, production-ready AI agents—and how Agent-as-a-Service is poised to reshape enterprise AI adoption.
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### 📍 Venue
The ION, Room 032
(Detailed location info to follow)
### 👥 Capacity
Limited to 60 attendees
Spots are limited—be sure to RSVP early!
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Join us to see how MCP-driven agents move beyond prototypes into industrial applications, and how Agent-as-a-Service will define the next era of enterprise AI.
