Automating case notes is the baseline now. The question worth asking is: how are we actually using that capability to our advantage?

The AI capability trap happens when leaders ask what contact center automation is possible rather than asking where automation is necessary or valuable.

Most after-hours solutions for healthcare CX introduce risk. AI helps structure what happens when people aren’t immediately available.

Most Laivly clients already have AI tools built into their platforms when they turn to Sidd. But those built-ins are broad, whereas Sidd goes deep.

Customer Contact Week (CCW) in Las Vegas was a convergence of minds shaping the future of customer service through AI innovation. Here are our key takeaways.

When you think beyond productivity, you can create truly valuable customer experiences that many brands don’t — or can’t — even consider.

These smart strategies for breaking through the barriers to AI and automation adoption in your contact center can help get buy-in from stakeholders.

Email as a CX support channel is more cost-effective than ever, thanks to generative AI and automation. Learn more in our Fast Company article!

Most CX analytics tools only track customer data or data while using the tool. Read how comprehensive agent data provides the missing link for contact centers.

Working from home brings both benefits and obstacles, with three of the biggest challenge areas for remote CX teams involving training and coaching, agent performance, and security and risk management. Attended AI bridges the gap in these areas and optimizes the work-from-home experience.

Every customer service interaction has the potential to make or break brand loyalty. But good customer service is the expectation, the baseline. What does it take to win a customer’s loyalty?