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Demo: The Difference Between an AI Agent and an AI Teammate

When

DURATION

TYPE

On demand

Description

In this session, Vivun’s Chief AI Officer Joseph Miller and VP of Solutions Brett Crane reveal how Ava, the AI Sales Agent, is transforming the way B2B sales teams operate. They break down why most GenAI implementations fail and how Vivun’s unique approach, built on a proprietary Sales Reasoning Model. enables Ava to act as a true teammate, not just a chatbot. Through a live demo, they showcase Ava’s ability to support sellers throughout the deal cycle: from account research, real-time coaching, and meeting prep to live on-call sales assistance, automated value case creation, and post-sale handoff. The session offers a practical look at agentic AI in action, emphasizing how context, reasoning, and integration are key to AI delivering real revenue impact.

Session Highlights

00:21 – Why Most GenAI Agents Fail—and How Ava is Different

Joseph Miller explains why 95% of enterprise GenAI projects fail and how Vivun’s approach avoids those pitfalls. Unlike RAG-based agents, Ava is built on a proprietary Sales Reasoning Model that structures unstructured data into a domain-specific knowledge graph for sales.

04:35 – How Ava Combines Seller Knowledge + Context

Ava is trained on your company’s product data, sales process, value messaging, and competitive landscape. It connects to systems like email, calendar, Zoom, and Slack to understand buyer context and work alongside sellers as a true AI teammate.

07:39 – Conversational Selling with Ava in Voice Mode

Brett demonstrates Ava in voice+avatar mode, where AEs can ask open-ended questions like “What should we do next to win this deal?” and get strategic, context-specific answers grounded in product knowledge and buyer goals.

10:36 – Live Meeting Participation and In-Call Support

Ava joins live Zoom or Google Meet calls to transcribe, surface relevant content (like customer stories), and optionally speak on the rep’s behalf. Her behavior is customizable—from silent observer to active participant.

12:50 – Deal Reviews with Objective AI Scoring

Ava auto-generates MEDDPICC (or your framework of choice) deal reviews using real engagement data. She flags gaps (e.g., missing metrics) and recommends next steps to strengthen deal quality and prep for forecast calls.

13:55 – Automated Value Cases from Buyer Interactions

Rather than copying old decks, reps can use Ava’s synthesized value cases—built from past conversations, pain points, and business outcomes—as inputs to executive-ready presentations.

15:00 – Final Mile Execution: RFPs, Handoffs, and Post-Sale Prep

Ava helps reps respond to technical, legal, or pricing questions via email and attachments—and also creates post-sale handoff summaries with stakeholder lists, risks, and implementation plans.

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