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.
What if your AI strategy is quietly costing you more than it’s delivering? Discover how an AI impact assessment reveals the blind spots, risks, and untapped potential that could transform your results.
Discover why 2025 marks a turning point for AI adoption in business. Learn how intelligent transformation is reshaping industries—and what you must do now to stay ahead.
Discover how to measure what truly matters—outcomes, adaptability, collaboration, and well-being—with ethical, privacy-first analytics in the age of AI Adoption
A practical AI adoption strategy for enterprises: a 30/60/90-day plan with the one metric to watch in each phase, from first activation to measurable business impact.
An AI-first organization makes AI the default way work gets done, not an add-on. Learn the core principles, real examples from Shopify and Duolingo, and how to measure your progress.
To thrive with AI, organizations need more than tools—they need skills. Discover how leaders can boost AI adoption through literacy, training, and culture.
Track AI usage by team, department and role across every AI tool. See what to measure, how to spot gaps, and how to do it without monitoring individuals.
75% of global knowledge workers use AI, yet most lack training. This blueprint helps businesses bridge the gap with role-based learning, cultural support, and real-time insights via Worklytics to drive adoption and ROI.
