Discover how Stockland, one of Australia's largest diversified property groups, built an intelligent AI assistant on AWS that puts enterprise knowledge at everyone's fingertips. This session explores a multi-agent system powered by Amazon Bedrock & Strands SDK and embedded in Microsoft Teams, that enables teams to streamline vendor management, automate routine tasks and accelerate decision-making. Learn how Stockland built intelligent workflows that transform procurement data into actionable insights, reducing manual effort while improving accuracy and compliance.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Multi-agent system on Bedrock + Strands. Embedded in Microsoft Teams for vendor management, routine tasks, decision-making. Procurement data → actionable insights.
Why it matters
Property is logistics-heavy. Agents inside Teams put intelligence where work actually happens.
The hard parts
Teams bot integrations have UX constraints. Agents must be glanceable, not deep-dive.
Playbook moves
(1) Optimise for the 30-second interaction. (2) Anything longer should kick to a different surface. (3) Make handoffs to human owners explicit and easy.
The surprise
The biggest engagement driver in chat-based agents isn't capability — it's *response time*. Sub-second feels magical; 5+ seconds feels broken. Latency budget matters more than feature count for chat-embedded agents. Optimise inference time before adding tools.
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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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