Many teams move fast with agentic AI prototypes that impress in demos but stall in productionblocked by gaps in reliability, accuracy, and safety. In this session, AWS agentic AI technical leaders will help builders rethink how to build and scale production-grade, trustworthy agentic AI. Learn proven patterns to build and deploy agents that earn trust in the real world. See AWS agentic AI platform Amazon Bedrock AgentCore in action. Discover how AWS customers move fast from sparks of experiment to scaled AI-driven innovation with trust at the core, transforming industries.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
AgentCore in action. AWS's view on production-grade trustworthy agent patterns. From experiment to scaled innovation.
Why it matters
AWS's reference patterns become customer reference designs. What they say is what they'll productise next.
The hard parts
AWS patterns assume an AWS-native stack. Hybrid environments need adaptation.
Playbook moves
(1) Map AWS patterns to your stack. (2) Note where adaptation is needed. (3) Watch which patterns get the most demo time — that's the roadmap signal.
The surprise
AWS's agent reference patterns lean heavily on Bedrock + AgentCore + Strands. If you're not on those, adoption costs more than the patterns suggest. The "neutral" framing is real but the bias toward the AWS stack is too.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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