
How to build a world-class AI customer service team
Templates and guidance on building a customer service team that uses both AI and human agents to their fullest potential.
Learn MoreRead expert articles on conversational AI, automation, and customer experience to keep your support strategy one step ahead.
Customer service is being rebuilt from the ground up. Interact is where the next generation of leaders step up to shape what’s next.
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Five real-world examples of brands that transformed customer service with smart, strategic AI integrations.
If you’re investing in AI for customer service, make sure your CRM isn’t left on the sidelines.
Playbooks enables your AI agent to follow your SOPs with precision, logic, and flexibility, handling high-stakes workflows like your best human agents would.
Even the most intelligent AI can’t drive impact alone. It needs context. It needs data. It needs access. That’s where integrations come in.
As businesses get serious about AI customer service, they’re asking: How should we be paying for this? And more importantly: What are we actually paying for?
It’s not about adding AI to your team, it’s about building your team around it. Here’s how.
Teaching AI our testing standards helped us turn risky refactors into routine improvements. Here’s how.
See how leading support teams are redesigning their org charts to scale automation with structure, clarity, and impact.
Performance doesn’t come from AI alone. It comes from AI integration.
What if your AI didn’t just forget your conversation—what if it never remembered it in the first place?
The most innovative CX leaders are building ACX teams—dedicated functions with clear roles, goals, and accountability for AI customer service.
Learn how Model Context Protocol (MCP) helps AI agents use real-time business data to deliver smarter, more accurate customer service.