News

Salesforce updates Slack pricing to expand access to AI, Agentforce, and CRM

Slack has evolved into a unified work OS and conversational interface for all your enterprise apps, data, and agents.

News

Salesforce Channels: The Future of Teamwork, Now Inside Salesforce and Slack

Break down silos, connect every team, and act faster with real-time customer data in every conversation.

Transformation

S.L.A.C.K. Realised: The Era of AI-Powered Search

How we're making search every Slack user's secret productivity weapon.

Collaboration

5 proven methods for boosting employee morale

Learn how companies with highly-rated cultures boost morale and productivity at hybrid and in-person workplaces.

Collaboration

6 simple ways to foster a positive hybrid work environment

As hybrid workplaces become the norm, maintaining employee satisfaction and a positive culture is more important than ever.

Collaboration

Robert’s Rules of Order: Run more effective meetings

Agree on simplified rules to keep things running smoothly while promoting fairness and equity

Collaboration

5 tips for effective collaboration at work

To successfully work toward a common goal, start with communication, clear expectations and mutual trust

Transformation

Agentforce in Slack: Powering Engineering Excellence at Salesforce

Engineering Agent is one of the team's most critical digital teammates, handling over 18,000 conversations in six months.

Productivity

AI Agents Are Poised to Revolutionise Employee Productivity

Slack's latest report reveals how AI agents are transforming the workplace — and why businesses must adopt a digital labour platform to stay ahead.

News

How Slack protects your data when using machine learning and AI

Productivity

The Hidden Knowledge Crisis

Information is everywhere, but workers struggle to find and apply it. Slack's enterprise search delivers the knowledge they need, when they need it.

Transformation

Conversation Is the Key to Unlocking Agentic Productivity

The success of your digital labour platform depends on context: the less AI agents need to ask, the more seamlessly they can support human work.