Businesses capture millions of conversations daily, sales calls, support interactions and compliance discussions, yet most of this intelligence remains locked away. Standard dashboards and predefined reports cannot address every customer's unique questions. Dubber, a world leader in conversation capture and intelligence, built Insight Agent on AWS, enabling users to ask bespoke, natural language questions across conversations and structured data to receive context-aware answers in seconds. Learn how Dubber innovated from static dashboards to surfacing business value moments, and now to agentic AI that compresses time to value, making conversation intelligence accessible, scalable and viable.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Insight Agent on AWS. Natural language queries across captured conversations + structured data. Replaces static dashboards.
Why it matters
Dashboard-centric BI can't answer custom questions. Agentic interfaces can.
The hard parts
Conversation data is sensitive — compliance, privacy, retention rules. Access controls per conversation type matter.
Playbook moves
(1) Define data access tiers (internal / customer / regulated). (2) Apply at retrieval time, not at agent layer. (3) Build retention-aware querying.
The surprise
The biggest unlock from natural-language BI isn't asking *new* questions — it's the *speed* of asking questions. When questions are cheap, hypothesis-testing changes. Teams stop deferring to "I'll check the dashboard" and start exploring. That cultural shift is the actual ROI.
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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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