AI

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.

Let's talk 2026. No crystal balls, just an early read on what work data is showing: what’s getting harder, what’s getting automated, and what new landmines we’re seeing with AI. 

This blog examines how leadership drives successful AI adoption through clear vision, strong communication, and cultural alignment.

Discover how AI is revolutionizing meeting productivity by automating note-taking, surfacing insights, reducing time spent in meetings, and improving team alignment.

Understand AI’s role in reducing turnover and improving employee experience. Find out how your organization can apply these insights.

Companies are hoarding AI tools like my 3rd grader collects Pokemon cards. Every team is buying. Every vendor is shipping. Every workflow is getting “AI-ified.” But the hard truth? By 2026, half of these tools will disappear. Not because AI is slowing down – it’s not. But just like my son eventually realizes half his Pokémon cards don’t actually do anything…companies are about to realize half their AI tools don’t either. AI only works when it’s embedded, not when it’s bolted on. Let me explain...