AI

How to track Claude Code usage in 2026: the analytics dashboard, contribution metrics and PR attribution, token costs via the API and OpenTelemetry, and what admins can and can't see.

AI isn't just challenging how employees work. It's challenging how organizations operate. Many companies are about to discover that the hardest part of AI adoption isn’t generating more output; it’s building organizations capable of handling it.‍

This month's Worklytics updates make it easier to see what's happening across your organization and turn behavioral data into clear, targeted action—from a new pulse-check landing page to deeper visibility into how AI is shaping work.

AI overspending starts with daily habits. Learn how employees can write tighter prompts, pick the right tool, & cut LLM costs without engineering changes.

Learn how to track if employees are using ChatGPT in the workplace. Discover tracking methods, benefits, risks, and best practices to ensure secure and productive AI adoption.

A practical guide to monitoring LLM token consumption and API costs across OpenAI, Anthropic, and more with code examples and best tools.

This month’s updates are all about helping you better understand how work is actually happening across your organization—especially as AI adoption accelerates. We’ve added new data connectors, launched a dashboard to compare how AI is changing work patterns, and introduced new ways to visualize where time is really going during the day. You’ll also find a step-by-step demo to help you turn business questions into clear answers inside the platform.‍

AI governance defines the policies, frameworks, and controls that ensure responsible, ethical, and compliant AI use in organizations. Learn why it matters

AI Champions bridge the gap between experimentation and real business impact. Learn why every organization needs them to stay relevant in 2026.