Teams | Collaboration | Customer Service | Project Management

How Businesses Are Transforming Support with AI-Without Losing the Human Touch

What if every customer could feel truly seen in AI customer support—not just recognized by a ticket number or automated reply, but understood in context, intent, and history? For many businesses, this question sits at the heart of modern customer experience. AI customer support has evolved far beyond basic chatbots and canned responses. Today, it represents an opportunity to combine intelligence, speed, and personalization in ways that were previously impossible at scale.

Top AI Chatbots to Transform Customer Support in 2026

Choosing the best AI chatbots for customer service in 2026 comes down to one thing: how well they blend knowledge-grounded answers with seamless help desk and CRM workflows. According to Gartner, in 2025, 80% of companies were already using — or planning to use — chatbots in their customer service strategy. The AI chatbot market in 2026 favors platforms that deflect routine questions, route complex issues to the right agent, and learn from every interaction to lift CSAT and reduce costs.

How to Eliminate AI Debt with Cross-App Workflows Using Asana AI and Amazon Q index

Learn how Asana and AWS are partnering to reduce enterprise AI debt by integrating Asana AI Studio with Amazon Q Business and Q Index. In this session, Asana’s Principal Product Manager Spencer joins AWS leaders Sourabh Banerjee and Chin Rane to showcase how connected AI agents and smart workflows help break down data silos, automate repetitive tasks, and deliver context-aware intelligence across your enterprise.

How to Replace Multiple Tools (Screenshots, Time Tracking, Attendance, Reports) With One System

Corporate teams today struggle with several disconnected apps just to get basic visibility into their work. One tool is used for taking screenshots, another to track the working hours, one for attendance, and another for reporting. The pressure to replace multiple tools with one system is growing because this kind of “tool sprawl” scatters data across platforms, creating blind spots that make real progress hard to measure.