Enterprises run an average of 12 AI agents today, and that number is growing fast. When users interact across multiple agents, new behavioral patterns emerge: signal fragmentation, agent preferences, cascading friction. These patterns carry direct implications for retention and operational efficiency. This article explains what those signals look like and how to start measuring them.

Customers ask AI agents about upgrades, add-ons, and new products every day. Nebuly captures that intent automatically and makes it visible to the teams that can act on it.

Adoption tells you who uses AI. Fluency tells you who gets value from it. AI Fluency Index in Nebuly measures how effectively employees interact with AI tools, based on anonymized behavioral signals across every conversation.

A practical framework for measuring AI agent value across employee-facing and customer-facing deployments. Five sequential questions every AI team should answer.

Fastweb + Vodafone invested in Nebuly through Founders Factory, and they're already our customers. Here's what that says about the problem enterprises are facing with AI agents today.

Pricing concerns, competitive pressure, unresolved frustration: users raise business-level churn signals through AI agent conversations every day. Companies never see them. This article explains what those signals look like, why standard monitoring misses them, and how task-level conversation analysis makes them visible before they show up in retention data.