Domo and AWS reveal how AI agents freed sales reps from 20 hours of weekly busywork, turning scattered data into real-time coaching and forecasting.

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Domo and AWS teams introduce today's session on AI agents in sales.
Topic: using AI agents to transform sales operations, from insight to action.
IT teams increasingly asked to turn data into actionable outcomes, not just access.
Domo's CRO wanted AI agents to boost sales rep efficiency significantly.
Reps act like "archaeologists," digging through scattered systems for basic context.
This digging eats roughly 20 hours weekly, half of reps' time.
Goal: personal AI agent per rep, understanding their book of business.
Live demo begins: agent app surfaces urgent items needing attention.
Agent tracks deal milestones, timelines, and forecasts from call and email data.
"Deal coach" feature grades rep performance and suggests next actions.
Agent tone can be tuned from gentle to direct, aiding tough feedback.
Architecture overview begins: building an AI-ready data foundation first.
Data from CRM, calls, and emails flows into a cloud warehouse.
Two agents built: automated deal analysis and personalized deal coach.
Agents write insights back to CRM, preserving human edit control.
Recipe: build foundation, activate with agents, distribute to people.
Governance must be embedded throughout, not bolted on afterward.
Second example: Fogo do Chão uses AI to analyze restaurant reviews.
AWS architecture explained: Domo runs on Bedrock, defaulting to Anthropic models.
Q&A: sales team adoption was immediate and enthusiastic post-rollout.

Participants:

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