Teams | Collaboration | Customer Service | Project Management

How Asana scales one idea into a full content engine with AI

Stephanie Bui, content marketing strategy lead at Asana, used to think about her role in straightforward terms: managing content calendars, overseeing assets, and running a team. That framing worked when each idea lived in one or two places, like a gated asset or a blog post. The work started with one strong idea and ended when it shipped. AI changed all of that. A single idea ending at one asset was no longer enough. "AI raised expectations," says Steph.

Rocket.Chat 8.4: Your security posture holds, regardless of the context

Your security posture holds regardless of context. Voice calling is now on the Rocket.Chat mobile app, keeping operators on approved, auditable infrastructure wherever the mission takes them. Native ABAC now extends to support Virtru as an external Policy Decision Point, making channel membership a continuous reflection of live identity, not a static configuration.

Pexip and Wire Join Forces to Advance Sovereign European Communications

The collaboration brings together two established European platforms: Pexip’s secure video conferencing and interoperability infrastructure, and Wire’s MLS-based end-to-end encrypted messaging and collaboration platform. Together, the companies will explore how tightly integrated video and messaging can be deployed within sovereign environments, aligned with the operational and regulatory requirements of government, defense, and critical infrastructure.

Overtime Explained: Meaning, Examples, and How to Manage It

Overtime is the time an employee works beyond their standard scheduled hours. It occurs when actual work time exceeds the originally planned time, including staying late, starting early, covering an extra shift, or continuing work after hours. The term can also refer to the additional pay employees receive for those extra hours.

How AI can improve project profitability and team efficiency

Every agency owner or operations leader I've talked to has the same complaint. They know AI could help their business, but they can't connect the hype to their P&L. The conversation is always about "efficiency" and "productivity" in abstract terms, never about the number that actually matters: profit per project. This guide bridges that gap.

Project profitability metrics every agency should track

Every hour of overservicing is margin you'll never get back. The question isn't whether it's happening at your agency; it's whether you can see it before the invoice goes out. Most agencies track revenue, headcount, and hours logged. Those numbers feel productive. They fill dashboards and look great in Monday standups. But none of them tell you whether a project actually made money. In my experience, the agencies that grow profitably are the ones that obsess over a different set of numbers entirely.