SaaStr 830: 6 Months Later, How Our AI SDRs Actually Work as AI Runs GTM with SaaStr's CEO and Chief AI Officer

What It Covers

SaaStr CEO and Chief AI Officer share six months of data from deploying 20 AI agents across go-to-market functions, revealing actual performance metrics, costs, implementation challenges, and unexpected learnings from AI-powered outbound, inbound, and sales operations.

Key Questions Answered

• •Outbound Scale Achievement: Artisan AI SDR sent 20,000 messages in six months with 7% overall response rate and 4% positive response rate, generating 10% of ticket revenue while replacing two human SDRs. Monthly output reached 3,000 emails per agent versus 75-285 from human reps previously.
• •Inbound Conversion Acceleration: Qualified AI agent handled 700,000 sessions and 1,000 conversations in three months, attributed to $1 million in closed revenue and $2.5 million in pipeline. The agent books meetings instantly versus previous one-day delays, eliminates discovery calls by pre-analyzing website behavior and visitor context.
• •Training Investment Reality: AI agents require consistent human oversight taking majority of leadership time. Performance directly correlates with training frequency—twice weekly updates yield better results than weekly. Agents cannot fix broken processes but excel at scaling existing successful workflows at 10x capacity.
• •Budget Allocation Strategy: Most effective AI GTM tools cost $50,000-$80,000 annually including onboarding. Replace budget from natural attrition rather than firing staff. Demand access to solution architects or FDEs during evaluation, not just sales reps who often lack technical product knowledge for proper deployment assessment.
• •Vendor Selection Framework: Specialized single-function tools outperform all-in-one platforms currently. Conduct bake-offs with maximum two vendors to allow proper training comparison. Require vendors to demonstrate value before contract signing by analyzing your actual data. Six months of quality data suffices for training—ten years unnecessary.