How AI governance became a top priority in service
Set practical guardrails for AI that protect customers and employees while improving compliance, security, and trust at scale.
Teams | Collaboration | Customer Service | Project Management
Collaborating To Help Teams Work Better In The Modern Workplace
Smarter Workflows, No Code Required: Introducing New AI Steps in Workflow Builder
We’ve all been there. You’re in the middle of your most important work when a notification pulls you out of your flow. A project lead needs a status update. A client is asking about a ticket. Finding the information in Slack is easy – but pulling it together and drafting a clear response takes time you don’t have. At Slack, we believe that making automation workflows accessible to everyone is the key to unlocking true organisational productivity.
Eliminate coordination tax with Google Gemini and Asana AI Teammates
As the Google Workspace Partner of the Year, we are excited to show you how to eliminate the coordination tax using agentic work. Learn how to leverage the Agentic Work ecosystem by connecting Google Gemini and Workspace with Asana AI teammates to automate complex workflows. This integration allows AI to initiate, orchestrate, and complete work across systems while maintaining human-in-the-loop controls and enterprise-grade security.
AI in customer service: Benefits, uses + best practices
Discover how AI improves customer service with real use cases, benefits, and implementation tips in our comprehensive guide.
Is AI flattening your team's creativity? Here's how to tell.
Think about your to-do list for a given work week. From responding to a colleague’s quick message to building a team strategy, how do you prioritize how much time and energy to allocate to each task? Behavioral science tells us most of us don’t optimize; we satisfice — we find the first “good enough” option, and we move on. The term, a mash‑up of “satisfy” and “suffice,” was coined by Herbert A.
Transform your internal support with Zendesk AI Agents
Discover how Zendesk employee service AI agents provide instant, departmental-wide support by delivering accurate answers from trusted knowledge sources while strictly enforcing data permissions. Streamlining employee requests and reducing repetitive tasks for support teams to create a more efficient workplace. Zendesk makes customer and employee service better. We build software to meet customer and employee needs, set your team up for success, and keep your business in sync.
Miro takes aim at the gap between AI potential and organizational reality
At Canvas 26, Miro establishes its AI platform as the connective layer of the modern AI ecosystem - bringing together teams, agents, and the tools they already work in to turn individual AI productivity into organization-wide transformation.
The Complete Guide to AI Funnel Builders: What They Are and How They Work
Marketing funnels have changed dramatically over the past decade. What once required months of manual setup and constant tweaking now takes days or even hours. The reason? AI funnel builders. These tools combine automation with data analysis to help businesses create sales funnels faster and with better results. Let's break down what they are, why they matter, and how to choose the right one for your needs.
From Ideation to Promotion: The Psychology of Selling Digital Products
Selling digital products may sound easy. But with today's competitive online market, selling your products online means more than just putting your offers out there. Aligning your business with the psychology behind achieving high sales can improve your chances of success. To better understand how psychology shapes successful sales, let's explore seven key psychological principles that can turn your ideas into consistent and long-term sales.
The AI efficiency paradox: What to do when AI boosts productivity but not results
There’s a paradox happening with AI: Usage and productivity are up, but bottom-line results aren’t always as obvious. It’s a familiar pattern you might be seeing in your organization: Leadership invests in AI, and employees say they’re getting more done: more code, more campaigns, more analysis.