Building AI Sales Reps: How ShowMe Orchestrates Voice, Video, and Multi-Agent Workflows to Close Deals
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What happens when you treat an AI agent not as a chatbot, but as a full teammate on your sales team – one that can jump on video calls, demo your product, make phone calls, and follow up over days?
In this episode of Just Now Possible, Teresa Torres talks with Yuri Vela Tulupov (Co-Founder and CEO) and Quique Gomez (Co-Founder and Lead Product Engineering) from ShowMe, an AI-native startup building digital sales reps for companies selling through inbound channels. Founded in April 2025, ShowMe has already built a sophisticated multi-agent system where conversation agents handle live voice and video interactions, evaluator agents score every call for quality and sentiment, and creator agents ingest customer documentation to build tailored sales playbooks – all coordinated by a workflow layer that manages the full lead-to-close journey.
You'll hear how they decompose a single sales conversation into multiple specialized sub-agents to manage latency and model limitations, why adding a realistic avatar (via HeyGen) dramatically changed how prospects engaged with the AI, and how customer-driven eval loops—where every conversation is reviewed early on and gradually reduced to about 5%—keep quality high for revenue-critical interactions. It's a detailed look at what it takes to build agents that don't just talk, but actually sell.
Show Notes
Guests
- Yuri Vela Tulopov – Co-Founder and CEO, ShowMe
- Quique -- Co-Founder and Lead Product Engineering, ShowMe
What we cover in this episode:
- How ShowMe builds AI digital workers that function as inbound sales reps
- The origin story: spotting the conversion gap at a previous company and realizing AI could fill it
- Why the first MVP was a voice agent with product videos and a simple RAG knowledge base
- Adding a realistic avatar via HeyGen and how it changed user engagement through better affordances
- Decomposing a single sales conversation into multiple specialized sub-agents (greetings, qualifying, pitching)
- The three agent types: conversation agents, evaluator agents, and creator agents
- How deterministic workflows manage the lead-to-close journey across days
- Building toward a smart orchestrator agent that breaks out of rigid workflow paths
- Ingesting sales transcripts and training materials to teach agents company-specific sales skills
- Customer-driven evaluation loops that start at 100% review and taper to ~5% over time
- Creating automated tests from customer feedback to prevent prompt regression
- Confidence scoring and frustration detection for real-time human handoff decisions
- Treating the agent as a coworker: onboarding via Slack, weekly reporting, CRM integration
- Future plans: self-serve PLG motion, smart orchestration, and expanding to customer success
Resources & Links
- ShowMe - AI digital sales reps for inbound teams
- HeyGen - AI avatar platform used for ShowMe's video calls
Chapters
00:00 Meet the Founders: Juri & Kike Introduce Show Me
00:45 What Show Me Builds: AI Sales Reps as Digital Coworkers
02:17 Why Inbound-First Sales Agents (and Not Outbound Spam)
03:51 Origin Story: The Website Conversion Problem That Sparked the Idea
08:11 MVP Launch: Voice + Video Product Demos in Two Weeks
10:45 Bootstrapping the Knowledge Base: Videos, Docs, Scraping & RAG
11:54 Beyond Demos: Multi-Stage Buyer Journeys, Follow-Ups & Orchestration
14:34 Building Trust: Avatars, Video-Call UX, and AI “Affordances”
20:18 Whiteboard Architecture: Agents, Workflows, and the Orchestrator Layer
29:43 Where Agents Run: Creators, Evaluators, and Breaking Deterministic Flows
32:18 Sales Is High-Stakes: Personalization vs. Hallucinations & Revenue Risk
33:35 Conversation Agent Evolution: From Q&A Bot to Guided Sales Discovery
34:10 Why One Agent Becomes Many: Decomposing Stages for Latency & Memory
36:36 Orchestrator + Tooling: Routing Between Greeting, Qualify, Pitch, Next Steps
38:46 Teaching Sales Skills: Generic Prompting vs Company-Specific Playbooks
42:52 Ingesting Real Calls & Onboarding Like a Teammate (Transcripts, Training Docs)
45:05 Real-Time Voice + Avatar Demos: Latency Tricks and Video Clip Libraries
47:33 Creator vs Evaluator Agents: Data Cleaning, Custom Fields, Sentiment & Confidence
49:15 Human Handoff Guardrails: When Confidence Drops or Users Get Frustrated
50:15 Proving Quality in Production: POCs, A/B Rollouts, Dashboards, and CRM Logging
53:21 Evals at Scale: Customer Feedback Loops, Regression Tests, and the 5% Review Set
58:19 What’s Next: Smarter Orchestration, Self-Serve Setup, and More Digital Workers
01:02:07 Closing Thoughts: Customer Insight as the Moat in a Fast-Moving AI World
Full Transcript
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