Auto-Built Discovery Plans From CRM, Calls, and Intent | Brazn AI

Written by Alex Margarit | Apr 30, 2026, 4:00:00 AM

Auto-Built Discovery Plans From CRM, Calls, and Intent

Discovery Call calls are the most critical part of the sales cycle, yet reps often walk into them armed with nothing but a blank notepad and a generic list of questions. This leads to superficial conversations that fail to uncover real pain. This article explains how to use AI to automatically build highly customized discovery plans by synthesizing data from the CRM, past calls, and intent signals.

What We'll Cover

- The cost of generic discovery

- The anatomy of an auto-built discovery plan

- Data Source 1: The CRM History

- Data Source 2: Past Conversation Transcripts

- Data Source 3: Intent and Engagement Signals

- Putting the plan into the rep's hands

Understanding the Approach

An Auto-Built Discovery Plan uses AI to aggregate all known data about an account and generate a specific agenda and question list for an upcoming meeting. In RevOps, this means connecting your data silos (CRM, Gong, 6sense) so an AI can read them simultaneously. Example: Before a discovery call, the AI notes that the account previously churned 3 years ago (CRM), recently visited the enterprise security page (Intent), and that the champion mentioned 'budget cuts' in a previous SDR call (Transcripts). It then generates a discovery plan focused on security ROI.

Why This Matters

Equipping reps with customized discovery plans dramatically increases win rates and deal sizes.

- Before: Reps ask basic qualification questions that annoy the buyer. After: Reps ask provocative, insight-driven questions that build trust.

- Before: Discovery calls feel like interrogations. After: Discovery calls feel like strategic consulting sessions.

- Before: Crucial context is lost between the SDR and AE. After: The AE has a complete picture of the account's history and intent.

The Complete Guide

Step 1: Connect the Data Sources

Objective: Give the AI access to the full picture.

Actionable Advice: Ensure your conversational intelligence tool and intent data platform are fully integrated with your CRM.

Step 2: Define the Output Template

Objective: Structure the plan for easy consumption.

Actionable Advice: Create a standard template that includes: 1) Executive Summary, 2) Known Pain Points, 3) 3 Key Questions to Ask, and 4) Potential Landmines.

Step 3: Automate the Delivery

Objective: Ensure the rep actually reads it.

Actionable Advice: Use an automation rule to push the generated plan into a dedicated Slack channel or directly onto the calendar invite 30 minutes before the call.

How to Implement This

RevOps is responsible for the data integrations and the automation workflow. Enablement must train reps on how to use the generated plans to guide the conversation, rather than reading the questions like a script.

Next Steps

Stop letting your reps wing their discovery calls. By auto-building discovery plans, you ensure every conversation is strategic and value-driven. Start by manually creating a comprehensive discovery plan for your most important upcoming meeting using data from all your tools, to see the impact it has.

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About the Author

Alex Margarit, Sales AI Expert, SaaS Sales Leader, BMC, ServiceNow, Docusign — 25+ years in SaaS sales.

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