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.

Topics Include:

• 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:

• Jason Longhurst – Head of Product Marketing, Domo
• Aman Tiwari - Sr Solutions Architect, ISV, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/