Teams | Collaboration | Customer Service | Project Management

Atlassian and Gamma are now deeply connected, so your work, and the context behind it, moves with you from plan to presentation. AI is supposed to understand your work. But it can only see what it can reach, and right now, your work is scattered. Updates live in slide decks, details hide in Jira tickets, decisions are buried in Confluence. We expect AI to “just know” how it all connects, then wonder why the output feels generic.

Governance is one of the four risks enterprises face in digital collaboration, and it's the one that shows up first as a productivity workaround before anyone recognizes it as a risk at all.

Every product team feels it eventually. The backlog grows. Sales forwards another customer email. An executive champions a feature because one big account asked for it. And suddenly, the roadmap is being driven by whoever spoke loudest or most recently rather than by what will actually move the product forward. Managing feature requests without a structured process means your team spends time building things that feel urgent but aren’t strategic.

Pricing pressure is not theoretical anymore. In Teamwork.com's Value Beyond Price research, 66% of senior leaders say clients are more demanding and less willing to pay, and consultants sit among the groups feeling that squeeze hardest.

Layoffs have become a reality across many industries, affecting companies of all sizes. Economic uncertainty, artificial intelligence, automation, shifting business priorities, and global competition are changing how organizations hire, retain, and manage talent. While no employee can completely eliminate the risk of being laid off, there are practical steps you can take to become more valuable, adaptable, and prepared for change.

What workflow management software does, the categories buyers confuse, and the questions separating a tool that runs work from one that shows how it ran.

How to map a business process, the techniques that work, and why most process maps describe the workflow people should follow rather than the real one.

Advanced users see the best outcomes from AI, because they know how to prompt, iterate and stitch results together. Everyone else opens the tool and gets something mediocre, then moves on. The tools simply weren’t built with everyone in mind. That’s the challenge Slackforce helps solve: Slack and Salesforce working as one, so you don’t need to be a computer expert to get a real result. Slackforce Surfaces makes it easy for anyone to build.

As AI accelerates work, leaders need to be more deliberate about what technology takes off people’s minds and where human attention can create the most value. AI promises to help organisations move faster. But at two Asana executive dinners held in Sydney and Melbourne in August, a different leadership question emerged: what should we choose not to accelerate? The challenge is not finding more hours in the day, but creating better conditions for the hours people already spend.