Feed recordings of sales calls from lost deals into an AI for a post-mortem. The AI can act as an impartial sales coach, identifying what went wrong and what could be done better, providing instant, actionable feedback without needing a manager's time.

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A company solved its sales team's information gap by treating 25,000 hours of recorded Gong calls as the ultimate source of truth. This existing internal data, previously ignored, became the foundation for a company-wide AI automation strategy that transformed their go-to-market operations.

Instead of relying on subjective feedback from account executives, Vercel uses an AI agent to analyze all communications (Gong transcripts, emails, Slack) for lost deals. The bot often uncovers the real reasons for losing (e.g., failure to contact the economic buyer) versus the stated reason (e.g., price).

Instead of fully automating conversations and risking sounding robotic, use AI to provide real-time suggestions and prompts to a human sales rep. This scales expertise and consistency without sacrificing the human touch needed to close deals.

Move beyond static scripts by using AI for dynamic sales training. Feed ChatGPT your call transcripts and common objections, then ask it to act as a specific buyer persona. Practice handling its objections in a role-playing chat, and conclude by asking it to provide a score and feedback on your performance.

A primary AI agent interacts with the customer. A secondary agent should then analyze the conversation transcripts to find patterns and uncover the true intent behind customer questions. This feedback loop provides deep insights that can be used to refine sales scripts, marketing messages, and the primary agent's programming.

An LLM analyzes sales call transcripts to generate a 1-10 sentiment score. This score, when benchmarked against historical data, became a highly predictive leading indicator for both customer churn and potential upsells. It replaces subjective rep feedback with a consistent, data-driven early warning system.

Clogging a sales calendar with unqualified prospects is a major bottleneck. Deploy an AI voice agent to call new leads and ask a single, ruthless qualifying question. This immediately filters out bad fits, freeing up sales reps to focus only on high-probability deals.

Consistently feed your AI tool information about your company, products, and sales approach. Over time, it will learn this context and automatically tailor its sales prep output, connecting a prospect's likely problems directly to your specific solutions without needing to be reprompted each time.

An automated workflow analyzes call transcripts and sends immediate, private feedback to the sales or CS rep on what they did well and where they can improve. This democratizes high-quality coaching, evens the playing field across managers of varying skill, and empowers motivated reps to upskill faster.

Go beyond the native summaries in conversation intelligence tools like Gong. Copy and paste the full transcript of a sales call into a generative AI like ChatGPT and ask for deeper insights, hidden objections, or recommended next steps. This cross-platform workflow can reveal nuances that a single tool might miss.