Teams | Collaboration | Customer Service | Project Management

The latest News and Information on Collaboration, tools and related technologies.

What's new in Asana | July 2026

Welcome to the July edition of What’s new in Asana, our monthly product update. Key moments: Create permissions in RBAC: Use RBAC to create permissions so super admins can control who can create projects, portfolios, goals, public teams, and read-only links. And remember to follow us on our other social media channels: LinkedIn - / asana Instagram - / asana.

What Is On-Premise Instant Messaging? A Complete Guide

On-premise instant messaging is a business communication solution that is hosted and managed on an organization's own servers or private infrastructure instead of a third-party cloud. It allows businesses to keep complete control over their messages, files, and communication data while maintaining better security and privacy. This guide explains how on-premise instant messaging works, its benefits, key features, challenges, and how to choose the right solution for your organization.

HIPAA Compliant Messaging App - Best Options for Healthcare Teams

A HIPAA compliant messaging app is a secure communication platform that encrypts Protected Health Information (PHI), enforces access controls, maintains audit logs, and supports HIPAA compliance through a Business Associate Agreement (BAA). Unlike consumer messaging apps such as WhatsApp, iMessage, or SMS, HIPAA compliant platforms are designed to protect patient data and reduce compliance risks.

Beyond Brainstorming: How AI is Reshaping Innovation Work

When AI can generate ideas on demand, the real work of innovation shifts elsewhere. Idea generation is no longer the constraint. Making sense of ideas, aligning teams, and turning insight into action is. In this session, Colin Duff (CEO of Mosaic Innovation) reframes how innovation work actually happens when AI is part of the system. Drawing on real client examples, he walks through how workflows are evolving across research, synthesis, ideation, and prototyping using Miro-based approaches.

Connect Trello to Your Favorite AI Assistants with Trello MCP

Great ideas can start with a random spark at 2 a.m., grow through a planning session with ChatGPT, or take shape in a brainstorm with Claude. AI helps you plan, but getting that plan into Trello has always been a manual, momentum-killing process. Today, that changes. Trello now uses MCP (a shared standard that lets AI tools talk to apps like Trello) to connect with assistants like Claude, ChatGPT, Gemini, and Cursor. That means you can manage your boards, lists, cards, and checklists just by asking.

What CIOs are buying when they buy enterprise AI

Enterprise AI pilots are stalling in every industry I work with, and the buyers themselves can tell you why. They aren’t buying AI capability. They’re buying organizational trust at scale, with the least possible integration debt. The vendors still selling capability to IT leaders are losing deals to the vendors selling trust.

Inside AI Builders Week: How teams work in the AI era

Each quarter, we ask some of our R&D teams to take a week away from the day-to-day to experiment and innovate on AI. We call this AI Builders Week, and it helps fuel our AI transformation. In past quarters, we’ve focused on building for individual workflows — how do we each get faster and more productive by inserting AI into different parts of our daily to-dos?

The full-stack builder and the new shape of the product organization

Tomer Cohen spent 14 years at LinkedIn, six of them as Chief Product Officer. At Canvas 26, he discussed the rise of the full-stack builder — what it means for roles, org charts, and coordination — and named the collaboration challenge nobody has cracked yet. In fall 2022, Tomer Cohen sat in a conference room in Redmond and watched a demo of GPT-4 — several months before the rest of the market would see it.

Redesigning Client Collaboration: From "Big Reveal" to 12-Week Cycles in PDLC

For many teams, client collaboration still follows a familiar pattern: long discovery, heavy specs, and a polished "ta-da" moment at the end. That model is starting to break. Big reveals stack risk at the end, delay meaningful feedback, and expose misalignment when it's most expensive to fix. In a world of faster change, AI-accelerated delivery, and hybrid product teams, collaboration needs a different rhythm.