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2 resources from Mutiny we point people to, and the questions each answers.

📄 Article

✓ Link checked Free Advanced

It gives you a four part test (autonomy, reasoning, tool use, memory) to tell a real agent from a renamed feature, which is the skill a GTM leader needs in every vendor meeting this year. The numbers are sobering and useful: 62 percent of teams experimenting, only 23 percent in production.

The best AI agents for B2B sales in 2026: What's real vs. hype

From Mutiny by Matt Ratchford 20 min read

88 percent of AI agent pilots never reach production, and only 11 percent of enterprises fully deploy.
62 percent are experimenting but just 23 percent have scaled agents to even one function.
Total cost of ownership runs 3.4x higher than API-only estimates once integration and monitoring count.
Independent test of 11x Alice: 847 emails, 11 replies, 1 meeting from 200 leads over two weeks.

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Answers How is AI actually changing what a GTM team does day to day?

📊 Report

✓ Link checked Free Intermediate

Pulls the survey data into six concrete workflows (account research, outreach, content, conversation intelligence, CRM execution, forecasting) so you can pick where to start. The uncomfortable stat is the one to sit with: most AI deployments miss their expected commercial impact.

How are B2B sales teams using AI in 2026?

From Mutiny by Matt Ratchford 20 min read

89 percent of revenue organizations use AI in some form in 2026, up from 34 percent in 2023.
Only 24 percent have deployed agentic AI, and just 21 percent report full enterprise wide generative AI rollout.
Autonomous SDRs convert meetings to opportunities at about 15 percent versus 25 percent for humans, but touch 1000+ contacts a day against 50 to 80.
Teams using AI tools are reported 3.7x more likely to hit quota.

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Answers AI is in every sales stack now. What does it actually change about discovery, demos and the deals we run?

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