Philip Arkcoll

The six AI adoption challenges that stall most enterprises, from unclear strategy and skills gaps to shadow AI and unproven ROI, each with a data point and a concrete fix.

Close the AI skills gap: the essential skills employees need to work with AI agents, current agent examples, and how to measure progress by team.

AI enhances business efficiency by automating tasks, enabling real-time insights, and driving innovation across operations, decisions, and customer experience.

Understand how AI is being used in your org and where to improve. Equip teams with the skills, tools, and culture needed to boost AI proficiency.

Learn how to invest in the right AI agent and turn AI hype into real results. Align tools to goals, prep your data and team, and boost adoption, efficiency, and ROI with a clear AI strategy.

AI could make a shorter workweek possible, but the data so far shows modest time savings and a real risk of work intensification. Here is what the research says and what to measure.

The organizations that are getting ahead today aren’t just experimenting with AI—they’re making it a part of how they operate. But getting from test projects to broad, sustained adoption across teams is hard. The tech is moving fast. Policies are lagging. And many employees aren’t sure if using AI will get them promoted or fired. Here are 10 things that you can do to accelerate AI adoption.

Explore how analyzing exported Slack data uncovers patterns, bottlenecks, and burnout risks—turning raw communication into insights that improve team health and alignment. Slack is more than a messaging app; it reflects how your team communicates, collaborates, and copes with overload.

Slack works best for fast, interactive teamwork and email for formal, external and long-form messages. See when to use each, what research says about overload and focus, and how to measure your team's mix.