Agentix Labs sales automation

AI Sales Proposal Personalization

AI proposal personalization works best when it supports a defined sales motion: gather account context, select relevant proof, draft the proposal, and keep humans responsible for claims and pricing.

Inputs

CRM opportunity details.
Discovery notes and buyer priorities.
Industry, company, and account research.
Approved case studies, pricing rules, and implementation options.

Workflow

Summarize buyer needs.
Match needs to approved offers and proof points.
Draft proposal sections and follow-up email.
Route final copy to the account owner for review.

Guardrails

Do not invent case studies or customer claims.
Keep pricing and legal language in approved templates.
Require human approval before sending.
Log source material used in the draft.

Metrics

Proposal cycle time.
Rep edit time.
Win-rate movement.
Buyer reply rate and next-meeting rate.

How to score it

Give one point for every checked item. Then use the result to decide what happens next.

0-5: content library not ready.
6-10: draft assistant candidate.
11-15: pilot-ready.
16: scalable sales workflow candidate.

Want to pilot AI-assisted proposal personalization?

Book a sales workflow teardown