Fabrix.ai, a pioneer in enterprise-ready agentic AI solutions, successfully hosted its highly anticipated Agentic AI Demo Day yesterday, bringing together IT operations, NOC operations, and AI operations professionals for a comprehensive showcase of its Purpose-built Agentic AI Operational Intelligence Platform.
The virtual event, featured live demonstrations of the company’s Purpose-built Agentic AI Operational Intelligence Platform, focusing on practical operational use cases and addressing the challenges of implementing autonomous AI agents in enterprise environments.
“Yesterday’s Demo Day represented a significant milestone in bringing agentic AI to enterprise operations,” said Shailesh Manjrekar, CMO of Fabrix.ai. “Attendees witnessed firsthand how our Purpose-built Agentic AI Operational Intelligence Platform circumvents the challenges of stochastic and non-deterministic processes to deliver an enterprise-ready solution with robust guardrails and security features.”
Key Highlights
The day began with Shailesh Manjrekar, CMO of Fabrix.ai, providing an overview of agentic AI and setting expectations for the demonstrations to follow. Industry analyst Andy Thurai from The Field CTO, joined by Bhaskar Krishnamsetty, CPO of Fabrix.ai, offered valuable insights on the current market landscape and the significant rise of agentic AI technologies.
Andy Thurai, VP analyst of The Field CTO, provided an overview of the Enterprise Agentic AI market and how the Operational Intelligence industry has evolved from point solutions like Observability and AIOps to comprehensive operational solutions using AI agents. He added, “AI agents are set to transform the operational world; however there are challenges around bias, ethics, hallucinations, etc. and only a handful of companies have succeeded in making these solutions enterprise-ready. Fabrix.ai is one among them, based on their briefing.
In one of the most anticipated sessions, attendees witnessed live demonstrations of Fabrix.ai’s Agentic Operational Intelligence Platform. The presentation showcased how the platform seamlessly integrates Data Fabric, Automation Fabric, and AI Fabric to enable sophisticated agent deployments. The demonstration featured:
- Anomaly Detector Agents: These agents automatically identified metric KPI anomalies, opened tickets, and dynamically adjusted system capacity in response to detected issues.
- Event Intelligence Agents: Demonstrated real-time alert correlation and implemented closed-loop remediation for specific scenarios while appropriately routing others for human intervention.
Tejo Prayaga, Sr. Director at Fabrix.ai, led a compelling session on multi-domain and multi-agent capabilities, featuring demonstrations of Google A2A and Anthropic Model Context Protocol integration. The presentation highlighted the advantages of Model Context Protocol over traditional API integration approaches for AI agents and included demonstrations with AI Agent Studio and persona-based co-pilots.
Comprehensive Platform Capabilities
Throughout the Demo Day, Fabrix.ai demonstrated the extensive capabilities of its Purpose-built Agentic AI Operational Intelligence Platform, including:
- Task Management: Full support for asynchronous and task-based operations with message passing via NATS/Kafka and nodes
- Low-Code Development: Intuitive drag-and-drop interface for building agent workflows without extensive coding
- Streaming Support: Built-in capabilities for handling continuous data streams in real-time
- Multi-Level Guardrails: Customizable AI personas, agent-level controls, and third-party guardrail integration
- Human-in-the-Loop: Seamless mechanisms for human oversight and intervention when needed
- Memory Management: Support for both short-term and long-term memory to improve agent performance and contextual awareness
- Language Support: Data-driven approach using YAML blueprints, bots, and pipelines
- Comprehensive Observability: Detailed storyboards tracking assets, agents, tasks, reasoning, and other operational elements
- Extensive Integrations: Connections to over 1,000 data sources through configurable bots
- Protocol Compatibility: Support for leading agent communication protocols including MCP and A2A
- Quality Assurance: Built-in positive and negative testing capabilities with dry run functionality
These capabilities collectively enable organizations to deploy enterprise-grade agentic AI solutions that are both powerful and controllable, addressing key requirements for operational use cases.
Telecommunications Industry Use Case
“The telecommunications industry faces unique operational challenges with its complex, distributed infrastructure and the critical nature of its services,” said Manjrekar. “Our agentic platform enables telecom operators to implement intelligent automation that works across operational silos, reducing mean time to repair by up to 85% and improving overall service reliability.”
Building, Deploying, and Scaling AI Agents
A highlight of the event was the comprehensive demonstration of Fabrix.ai’s Purpose-built Agentic AI Operational Intelligence Platform capabilities, showcasing the complete lifecycle of AI agents:
- Building Agents: Attendees observed how to create customized AI agents tailored to specific operational needs
- Deploying Agents: The session demonstrated streamlined processes for implementing agents within existing enterprise infrastructures
- Scaling in Multi-Agent Environments: Fabrix.ai showcased its platform’s unique ability to manage and coordinate multiple AI agents working simultaneously
Advanced Technical Architecture for Model Intelligence
During the Demo Day, Fabrix.ai unveiled the groundbreaking technical architecture of its Purpose-built Agentic AI Operational Intelligence Platform, demonstrating the progression from Fine Tuning to Model Context Protocol implementation:
- Fine Tuning: The foundation layer requiring training data, limited to initial tasks and necessitating retraining
- Retrieval Augment Generation (RAG): An advancement requiring no training but periodic data updates
- Agentic RAG: Enabling AI agents to perform reasoning and complete complex tasks while still leveraging pre-indexed data
- Model Context Protocol: The pinnacle of evolution allowing orchestration by inference, with LLMs connecting in real-time to databases for retrieval and tool execution under appropriate governance and guardrails
The technical presentation illustrated how these components interact through MCP Clients, MCP Server connections, RAG indexing processes, and both cloud and local data stores, showing a comprehensive ecosystem for reliable agentic intelligence.
Agentic Governance and Persona-Based Approach
A key innovation showcased in the Purpose-built Agentic AI Operational Intelligence Platform was Fabrix.ai’s Agentic Governance Guardrails system, which implements AI personas for co-pilots and agents:
- Customizable Co-Pilot Applications: Each co-pilot app can be configured to use specific AI personas
- User Group Agent Assignment: Agents are assigned to user groups with configurable AI personas within those groups
- Multi-Layered Persona Structure: The system features executive, transitional, and specific application personas, each with configurable configurability levels and domain semantics
- Resource Access Control: The personas govern access to various data sources, tools, and execution resources
This governance framework enables organizations to implement precise control over agent capabilities while maintaining flexibility for different user needs and access levels.
Leveraging Existing Data Infrastructure
A key focus of the Demo Day was how the Purpose-built Agentic AI Operational Intelligence Platform’s powerful data abstraction capabilities enable organizations to implement agentic AI without the need to re-ingest or migrate existing data. The platform demonstrated seamless integration with numerous popular data platforms, including:
- Splunk Data Platform
- Elastic
- OpenSearch
- ArrangoDB
- DataLakes solutions such as MinIO, HP Ezmeral, Cloudian, and Hitachi OCP
“Our data abstraction layer provides three critical benefits,” explained Manjrekar. “Organizations can leverage their existing data investments across multiple databases, receive tailored AI agentic experiences based on their specific data environment, and correlate insights across previously siloed domain datasets.”
Major Model Context Protocol (MCP) Announcements
In a significant advancement for agent interoperability, Fabrix.ai unveiled a suite of new Model Context Protocol (MCP) tools and capabilities for its Purpose-built Agentic AI Operational Intelligence Platform during the Demo Day:
- MCP Clients for Fabrix’s Co-pilots and Agents: Enabling seamless communication between Fabrix.ai’s intelligent assistants and other MCP-compatible systems
- MCP Server to expose Fabrix’s Data Fabric: Providing standardized access to bots and pipelines within the Data Fabric
- MCP Server to expose Fabrix’s Automation Fabric: Offering structured access to workflow tasks and complete workflows
- MCP Server to expose any Local or Remote LLM: Creating a unified interface for leveraging various large language models
- MCP Server Interoperability with other MCP Servers: Facilitating communication between different organizational MCP implementations
These announcements represent a major step forward in establishing cross-platform standards for agentic AI interaction, allowing organizations to build interoperable ecosystems of co-pilots and agents that work together seamlessly regardless of their underlying architecture.
Emerging Protocols and Enterprise Readiness
The event addressed the significant potential and inherent challenges of agentic AI systems, with special attention to emerging protocols like Anthropic’s Model Context Protocol (MCP) and Google’s A2A. Demonstrations illustrated how Fabrix.ai’s Purpose-built Agentic AI Operational Intelligence Platform overcomes the challenges associated with these protocols to achieve true enterprise readiness.
Ecosystem Partners Showcase Advanced Guardrails
The Demo Day featured presentations from several key ecosystem partners:
- Cisco, Outshift Agency, and the Open Source Collaborative Collective presented on the “internet of agents,” exploring the future of interconnected AI systems
- Tushar Agrawal, Sr. Director of AI, presented the AGNTCY Open Source Collective—a collaboration between Cisco, LangChain, and Galileo—providing attendees with insights into inter-agent collaboration frameworks and opportunities for community participation.
- IBM Consulting demonstrated their Guardian guardrails and models, highlighting different approaches to implementing AI safeguards
- The event also showcased Fabrix.ai’s expanding partner ecosystem, with Venkat Raghav from IBM Consulting and Srinivas Miriyala from Fabrix.ai demonstrating integrations with IBM Granite Guardian and Granite models.
- Tumeryk, an AI security startup, showcased their AI Trust Score based on NVIDIA Nemo guardrails, emphasizing how guardrails function at different levels within the system
- A critical discussion on agent guardrails was led by Rohit Valia, CEO of Tumeryk, and Shailesh Manjrekar. This session addressed the delicate balance between autonomous operation and necessary human oversight, featuring a demonstration of Tumeryk AI Trust Score™ based on NVIDIA Nemo Guardrails.
“The implementation of effective guardrails is critical for enterprise adoption of agentic AI,” noted Manjrekar. “Our Purpose-built Agentic AI Operational Intelligence Platform integrates multiple layers of guardrails to ensure autonomous agents operate reliably and securely in production environments.”
Fabrix.ai Joins AGNTCY Collective
During the event, Fabrix.ai announced its participation in the AGNTCY collective, joining CrewAI, AG2, Browserbase, and 20 other innovative companies committed to advancing agentic AI technology and standards. This collaboration represents a significant step toward an interconnected ecosystem of AI agents.
“We believe the most significant technological advances happen when visionary companies unite around shared challenges. By joining the AGNTCY collective, we’re creating an entirely new operational paradigm where AI agents seamlessly collaborate to solve complex problems with minimal human intervention. Together, we will redefine operational excellence for the AI era,” said Shailesh Manjrekar, Chief AI and Marketing Officer at Fabrix.ai.
Industry Impact
The successful demonstration day underscored Fabrix.ai’s position at the forefront of enterprise-ready agentic AI technology. By addressing the practical challenges of implementing autonomous AI in operational contexts while leveraging existing data infrastructure, the Purpose-built Agentic AI Operational Intelligence Platform is enabling organizations to harness the transformative potential of agentic AI while maintaining necessary controls and safeguards.
The demonstrations throughout the day illustrated how agentic AI is rapidly moving from theoretical concepts to practical applications that can transform operational intelligence across industries. Attendees witnessed first-hand how autonomous AI agents can:
- Detect anomalies and implement remediation without human intervention
- Intelligently process and correlate alerts from multiple sources
- Operate within carefully defined guardrails to ensure safety and reliability
- Collaborate across domains using standardized protocols
The Fabrix.ai Agentic Demo Day underscored the company’s position at the forefront of agentic AI technology development and highlighted the growing ecosystem of partners and technologies that are making autonomous AI applications increasingly accessible and effective for enterprise deployment.
For more information about Fabrix.ai and its Purpose-built Agentic AI Operational Intelligence Platform, visit www.fabrix.ai. The on-demand content can be accessed here https://www.fabrix.ai/events/agentic-ai-demo-day/
About Fabrix.ai
Fabrix.ai delivers the Purpose-built Agentic AI Operational Intelligence Platform that enables organizations to build, deploy, and scale autonomous AI agents for operational use cases. With a focus on security, reliability, and comprehensive guardrails, Fabrix.ai’s platform transforms how enterprises leverage artificial intelligence to enhance operational efficiency and decision-making.
