Enterprises now run 12 AI agents on average. As they multiply, a new layer of user signal emerges across them. What user analytics reads that observability does not.

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.

Only 1 in 26 unhappy customers complain. The rest leave silently. Many of them express their dissatisfaction inside your AI agent conversations first. Competitive mentions, repeated task failures, price objections, and abandonment patterns are all visible in conversation data before they show up in your CRM or renewal pipeline. This article explains what these signals look like, why standard AI metrics miss them, and how to start measuring them at scale.