How to Build an AI Sales Workflow With Otter

What this post added

This post details the application of the Conversational Knowledge Engine to create an AI sales workflow. It describes the five stages of this workflow: 1. Otter's automated call capture using proprietary speech recognition technology and a large voice data set, with speaker identification and screenshot capabilities. 2. Otter's live coaching feature, which provides contextual prompts based on live transcripts and supports qualification frameworks like BANT and MEDDIC. 3. Otter's Sales Insights component for automatically extracting deal fields (budget, economic buyer, timeline, etc.) and syncing them to CRMs like Salesforce and HubSpot. 4. Otter's ability to draft follow-up emails and automatically assign action items, routing them to tools like Jira and Slack. 5. Otter AI Chat and bidirectional MCP integrations for making past conversations searchable and enabling external models to query meeting data while allowing Otter AI Chat to access external tools like Notion and Salesforce.