AI Agent & Automation

This blog explains why observability is critical in AI-driven CX, showing how monitoring, alerts, and insights can prevent failures and build customer trust.

This blog explains the spectrum of autonomous AI, from practical business use cases to the guardrails that prevent failures and shadow AI risks.

AI chatbots are transforming industries but can still make costly mistakes when unchecked. This article explains how red teaming helps stress-test chatbots to uncover risks and prevent real-world failures.

GPT-5 Pro brings advanced reasoning, extended memory, and autonomous workflows to customer journey automation. This article explores its benefits, enterprise use cases, and challenges.

AI Assistants are transforming customer support by automating repetitive tasks and empowering agents to focus on meaningful interactions. This guide answers key questions CX leaders have about using AI Assistants to boost efficiency and customer satisfaction.

Shadow AI is spreading fast as employees use unapproved AI tools at work, risking data leaks and compliance issues. This blog explores the dangers and how businesses can stay protected.

Customer support in 2025 demands speed, scale, and personalization — something early automation couldn’t deliver. Enter agentic AI: systems that can think, decide, and act. This blog explores how agentic AI is redefining support with real-world use cases and insights.

Enterprises run on countless apps, leading to “app fatigue” and scattered workflows. AI is now emerging as the connective layer that unifies systems and makes work more seamless.

Enterprises are moving past public AI in 2025, demanding private, secure, and customizable systems. As major players pivot to enterprise-grade models, the shift toward sovereign AI is clear. This blog explores the drivers behind that change.

As CX becomes increasingly autonomous, even the most advanced AI agents can fall short when faced with complex or emotional issues. This blog explores why escalation planning is essential to maintain service quality—and how businesses can design seamless human handoffs when automation reaches its limits.