Product · Jun 27, 2026

Facio's Operational Metrics: The KPIs That Tell You Whether Your AI Agent Is Actually Working

Most teams running AI agents have no idea whether the agent is working. They count sessions and tokens, mistake volume for value, and have no metrics for agent quality, user satisfaction, or business outcome. Facio's operational metrics give you the structured KPIs that distinguish an agent that genuinely works from one that just runs. Here's the framework, the metrics that matter, and how to use them to improve agent performance over time.

Operational MetricsKPIsAgent QualityPerformanceMeasurement

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Why Facio Agents Get Smarter Every Session: The Compounding Returns of Institutional Memory

A stateless AI agent starts every conversation from zero — no knowledge of the user, no awareness of past work, no institutional context. The user re-explains, the agent re-investigates, the workflow repeats from scratch. A Facio agent with institutional memory starts every session with accumulated knowledge: the user's preferences, the project's history, the lessons learned, the patterns that work. The result is compounding returns — each session is faster, more accurate, and more personalized than the last. Here's how the compounding happens.

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Why Your First AI Agent Shouldn't Be Your Most Ambitious: The Facio Approach to Graduated Deployment

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