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