Building the Enterprise Context Layer: A Step-by-Step Guide
- 7 August 2026
- 11:00 AM–12:00 PM (IST)
Why Enterprise AI Needs a Context Layer, and How to Build One
In this on-demand webinar, Microsoft and Saxon AI explore how to build a shared enterprise context layer that enables AI agents to access trusted information, collaborate across business functions, and deliver reliable outcomes at scale.
Whether you’re planning your first enterprise AI deployment or scaling existing initiatives, this session provides a practical framework for moving from isolated AI pilots to enterprise-wide intelligence.
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What You'll Learn
Context
Discover how Foundry IQ connects AI agents to your operational and business data, enabling responses grounded in enterprise context rather than generic models.
Trust
See how Fabric IQ embeds governance, security, compliance, and enterprise controls into your AI foundation, helping teams deploy AI with confidence.
Scale
Learn how Work IQ enables organizations to extend agentic AI across functions from operations and supply chain to finance and customer service using a shared enterprise foundation.
Bringing it together
Understand how these capabilities work together as a single Intelligence Layer, helping organizations accelerate AI adoption while improving productivity, operational efficiency, and decision-making.
Why this matters
Many organizations have already invested in cloud platforms, enterprise applications, and AI pilots.
The real opportunity now is connecting these investments into an enterprise-ready foundation that allows AI agents to work securely across the business.
- Move from disconnected AI experiments to enterprise-scale deployment
- Improve the quality and reliability of AI-driven decisions
- Strengthen governance without slowing innovation
- Create a reusable AI foundation that supports future business initiatives
Meet the Speakers
Ashish Wadhwa
Sr. Cloud & AI Specialist, Microsoft India
Abhishek Shanbhag
Vice president, Technology, Saxon AI
Praveen Reddy
VP, Data & Analytics, Saxon AI