Teams | Collaboration | Customer Service | Project Management

AI financial insights for professional services leaders are not a chatbot bolted onto last month's export. At Teamwork.com, we see leaders need margin, utilisation, and forecast signals while work is still movable. For example, a delivery lead can change staffing mid-project before an overrun hits the P&L; I've watched firms mistake a prettier dashboard for insight.

A quiet assumption is buried in the phrase “quality care”: that care is something delivered to a patient, like a package left on a porch. In practice, care only works as a two-way transaction. A treatment plan a patient doesn’t understand, doesn’t trust, or doesn’t follow is not a lesser version of good care – it’s not care at all. Medicine has always run on consent and cooperation, not compliance in the disciplinary sense.

One point four million real workplace conversations with AI were analysed last year. About 5% of people were using it in ways that improved the quality of their work. The “Are you using AI?” conversation is over. Nobody won it. We just stopped having it. But the question we skipped is, “Is anyone reading this stuff before it gets sent?” Increasingly the answer is no, and we can all tell.

As part of our ongoing updates & enhancements, we have introduced a more flexible way for you to configure your utilization rate targets. Managers can now choose whether to set and view utilization rate targets as a percentage or by hour, making it easier to align utilization goals with how their teams measure and benchmark productive work.

Whatever you need to know is already in Teamwork.com: resourcing, budgets, task status, all of it live. The only question is how many clicks stand between you and it. Ask AI removes them: ask what you'd ask a colleague, typed or said out loud, and get the answer straight from your own data.

Messaging in education helps students communicate, collaborate, and stay organized throughout their academic journey. Messaging in education supports study groups, group projects, communication with professors, and academic planning. From discussing coursework with classmates to clarifying assignments with instructors, messaging makes academic communication more convenient and efficient.

With AI assistants like Claude and ChatGPT becoming more deeply integrated into knowledge work I wanted to run a like-for-like comparison in a competency close to my heart: data analysis.

Tamar Yehoshua is Chief Product and AI Officer at Atlassian, where AI agents are now direct users of the software her team builds.

I’m TJ Power, a neuroscientist, no.1 bestselling author of The DOSE Effect, and the founder of DOSE Lab. Over the last 12 months, my team and I have been laser focused on a new question: how can we help society build successful brains that are ready for the AI future? Recently, with Asana, I hosted a series of dinners in Sydney and Melbourne for C-suite executives.

In 2026, as hybrid and remote work continue to affect the modern workplace, small and mid-sized businesses (SMBs) are once again considering how to manage and keep track of their dispersed workforces. The Gallup 2026 Hybrid Work Indicator shows that 78% of U.S. employees in jobs that allow them to work from home either work in a hybrid arrangement (52%) or are entirely remote (26%), with flexible work having become the main working model for roles in the knowledge sector.