Most of us spend more time hunting for information than using it. Amazon Quick changes that. It reaches across all your company's data — documents, databases, emails, Slack threads, dashboards, Jira tickets — and lets you search it, ask questions, and take action, all from one place. Available across web, mobile, Slack, and Microsoft tools with multi-model intelligence, Quick delivers consumer-grade AI with enterprise-grade security and governance. No vendor lock-in, no siloed copilots. Just one AI teammate that works wherever you do.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Cross-corpus enterprise search agent — documents, databases, emails, Slack threads, dashboards, Jira. Web, mobile, Slack, Microsoft tools. Multi-model intelligence.
Why it matters
Enterprise search has been broken for 20 years. Most knowledge work begins with hunting for information. Agentic search reframes the problem.
The hard parts
Permissions inheritance across systems. The agent must respect every source system's ACLs without papering over inconsistencies. A document leaked via search is the same as a document leaked any other way — but harder to detect.
Playbook moves
(1) Audit access boundaries before connecting any source. (2) Beware accidental info leakage — the agent will surface things people forgot they had access to. (3) Plan for cross-system permission cleanup as part of rollout, not after.
The surprise
Cross-corpus search exposes years of *permission-leak debt* you never knew existed. People had access to channels they should have been removed from; service accounts have read access to everything; old projects retain over-broad permissions. The agent will surface all of it. Plan for cleanup as a *deliberate* phase of rollout — pretending it's not there means it'll show up as a security incident.
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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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