Grounding AI Agents with Microsoft Web IQ: Fresh, Cited, Production-Ready Web Knowledge

AI agents are only as reliable as the knowledge they can access, yet models stop learning at their training cutoff while the world keeps changing. This session introduces Microsoft Web IQ, a suite of AI-native grounding APIs that connects agents to fresh web knowledge with verifiable sources, and explains how to build with it.

■ Why grounding matters
- The gap between training cutoffs and real-world change
- How stale facts propagate through multi-step agent loops

■ Web IQ overview
- Six grounding scopes: web, news, images, videos, browse, and places
- The auto orchestrator with fast and advanced modes
- Integration paths: REST API and hosted MCP server, available to Azure customers

■ Performance and trust
- Quality, latency, and token efficiency covered through Microsoft's own testing
- Responsible sourcing, transparent citations, and enterprise controls

■ Scopes configuration
- Including or excluding URLs, domains, sites, and paths
- Consistency, relevance, and control across agents

■ Demos and setup
- A competitive intelligence agent example and an energy markets demo
- Deploying a Web IQ resource from the Azure portal, the Microsoft Learn quick start, and the playground

Builders of AI agents, application developers, and enterprise administrators evaluating grounding solutions will gain a clear picture of what Web IQ covers, how it differs across modes and scopes, and the concrete steps to deploy it and run a first call. Following the session, you can deploy a resource, open the playground, and try the shared demo repository against your own use case.