Developing an AI system for generating personalized follow-up emails
Follow-up after a meeting or call is a critical point in the sales cycle. Most managers put it off or write a formulaic template. An AI system generates a personalized draft in 30 seconds based on the conversation transcript.
Generation pipeline
Input data:
- Call transcription/post-meeting notes
- CRM contact card (company, position, history)
- Agreements and next steps from the conversation (extracted by LLM)
Processing:
- Extract: key customer pain points, stated needs, objections, agreements, names of participants
- Retrieve: relevant materials from the knowledge base (cases that were mentioned, documents that need to be sent)
- Generate: a personalized letter—reference specific phrases from the conversation, clear next steps, and an attachment list
Output: Draft emails in CRM or Gmail draft. The manager reviews, makes minimal edits, and sends.
Typical follow-up elements
Reference to the client's specific pain points. A brief summary of what was discussed. Clear next steps with dates. Attached materials. P.S. A personal highlight from the conversation (mention of the project, name of the colleague).
Terms: 2-3 weeks
CRM integration, Zoom/Meet transcription pipeline, email draft generation, approval workflow.