Webinar
Powering AI Agents in Production with a Real-Time Context Engine
March 25th, 2026 • 2PM ET | 11AM PT
AI agents are moving from answering questions to taking action inside live systems. But most production initiatives stall for one reason: agents operate on stale or incomplete context.
Batch pipelines, delayed updates, fragmented event streams, and runtime glue code were built for analytics, not autonomous decision-making. As agents begin triggering workflows, updating records, approving transactions, or responding to threats, context freshness becomes the difference between correctness and failure.
In this session, Hojjat introduces DeltaStream’s Real-Time Context Engine for AI Agents and explains why continuously updated, inference-ready operational state is the missing infrastructure layer in modern AI architectures.
Security will be explored as one high-impact example, but the architectural principles apply broadly across fintech, SaaS, security, marketplaces, and any event-driven system where correctness matters in real time.
What You’ll Learn
- Why AI agents fail in production even when models are strong
- Why context freshness is now a first-class system requirement
- How to eliminate brittle streaming glue code and runtime queries
- How to unify streaming, real-time, and batch workflows
- How to move AI agents from pilot to production safely
PRESENTED BY:

Hojjat Jafarpour
Founder & CEO, DeltaStream