Foundry IQ: Build Smarter Agents Faster with Unified Knowledge and Serverless Retrieval

Why It Matters

Enterprises can now launch production‑grade, context‑rich agents faster and cheaper, while maintaining strict governance—a critical advantage as AI‑driven workflows become mainstream.

Key Takeaways

• Serverless Foundry IQ preview offers pay‑per‑use, zero‑idle cost.
• New sources integrate Work IQ, Fabric IQ, Azure SQL, File Search.
• Web IQ adds real‑time web data with sub‑165 ms latency.
• Retrieval engine boosts answer quality up to 20% while cutting tokens.
• GA knowledge bases provide SLA, compliance, and MCP server access.

Pulse Analysis

Building AI agents at scale has long been hampered by the need to stitch together disparate data silos, manage costly infrastructure, and enforce enterprise security policies. Foundry IQ’s Serverless tier tackles these pain points by eliminating cluster management and idle compute expenses, charging only for actual usage measured in Compute Units. This model aligns with bursty, event‑driven agent workloads, allowing developers to move from prototype to production in days rather than weeks, and it lowers the barrier for smaller teams to experiment with retrieval‑augmented generation.

The expansion of knowledge sources further differentiates Microsoft’s offering. By natively ingesting Work IQ signals, Fabric IQ ontologies, Azure SQL tables, and even raw files, Foundry IQ creates a single, searchable knowledge base that respects existing permission structures. The addition of Web IQ brings real‑time internet content into the same retrieval engine with sub‑165 ms latency and zero data retention, enabling agents to blend internal expertise with up‑to‑date external information without compromising compliance. This unified approach simplifies architecture, reduces integration overhead, and accelerates time‑to‑value for use cases ranging from customer support to internal decision support.

Quality and governance have also seen a leap forward. Recent retrieval engine tweaks deliver up to a 20% boost in answer accuracy while consuming fewer tokens, directly translating to lower LLM costs. Security updates—such as cross‑tenant customer‑managed keys, sensitivity‑label enforcement, and private network links—ensure that data flows into agents under strict policy controls. With the knowledge base now generally available under an SLA and equipped with an MCP server, enterprises gain the confidence to embed AI agents across critical workflows, positioning Foundry IQ as a cornerstone of the next generation of enterprise AI platforms.