Philip Arkcoll works on making work actually work better. At Worklytics, he combines data, technology, and a deep interest in organizational behavior to help companies see how their teams collaborate—and where they can improve. His focus is on turning workplace data into practical insight that drives more effective, healthier ways of working.
The 2026 price benchmarks for AI coding assistants, and how to turn per-seat pricing into a per-developer budget grounded in measured adoption, output, and ROI.
Measure AI skills and fluency across your workforce from work data, not surveys: metrics for adoption, proficiency and impact, and how to track progress.
Most AI adoption happens quietly. Here's how to see which tasks your employees are actually automating, and what that data tells you about workflow gaps.
How to export Claude Enterprise usage data with the spend report CSV, the Claude Enterprise Analytics API, the Claude Code Analytics API and the Compliance API, and how to analyze it by team.
How to export ChatGPT Enterprise and Business usage data (workspace analytics CSVs, the Analytics API and the Compliance API) and which metrics to analyze once it is in your BI tool.
How to track OpenAI Codex adoption, usage, and spend - what the native analytics dashboard, Analytics API, and Compliance API cover, and how to see Codex alongside Claude Code, Cursor, and Copilot.
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.
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