B2BVault's summary of:

Are we ready for AI sales reps?

Published by:
Growth Unhinged
Author:
Kyle Poyar

Introduction

RB2B swapped its sales-assist team for a $99/month AI avatar. Early results show potential, but success depends on great documentation.

What's the problem it solves?

Sales-assist roles are costly for small, bootstrapped SaaS companies. RB2B wanted a faster, always-on, lower-cost way to handle inbound sales requests without losing quality in customer interactions.

Quick Summary

Adam Robinson, founder of RB2B, replaced his two-person sales-assist team with an AI avatar clone of himself. The bot’s job is to respond instantly to inbound sales queries, answer FAQs, and push prospects toward purchase - not to handle customer support. In its first 22 days, it had 1,683 conversations, processed hundreds of demo requests, pricing questions, and compliance document requests, and maintained a 70% positive feedback score.

RB2B’s previous attempt at an enterprise sales motion failed, so the focus shifted to speed, self-serve onboarding, and minimizing human touch. The AI avatar didn’t dramatically improve metrics but matched human performance while freeing up headcount and giving Adam direct visibility into customer questions. The key enabler was RB2B’s robust support documentation - missing info led to bad AI answers, so Adam runs a constant loop of writing, refining, and QA’ing docs with AI tools.

The experiment hasn’t yet yielded explosive results, but it shows how small teams can use AI to reduce costs, operate 24/7, and focus human effort on high-value interactions.

Key Takeaways

  • AI sales avatars can replace human sales-assist for repetitive inbound questions without hurting performance.
  • Success depends on obsessively maintained, well-structured documentation.
  • AI works best for high-volume, lower-risk sales motions.
  • The bot’s performance plateaued at human levels but freed up time and cost.
  • Documentation improvement is a continuous loop: find gaps → write docs → AI QA → refine.

What to do

  • Audit your inbound sales questions and identify repetitive queries.
  • Build detailed support docs before deploying AI.
  • Set AI bot parameters to clarify vague questions rather than guess.
  • Review conversations daily to improve both bot responses and docs.
  • Use AI to augment sales for speed and cost savings, not as a total replacement — unless your funnel and motion allow it.

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