-->
Customer Service/Call Centers/Contact Centers > Viewpoints

Customer Relationship Management (CRM) helps organizations deliver exceptional customer service and support. Good CRM tools and strategies enable call centers, contact centers, and customer support teams to be their most effective and ensure that all customer inquiries end with the best possible customer experience. Explore our latest news, analysis, and advice for customer service professionals at all levels.

Complex CX Is Where AI Agents Still Struggle

Complexity can come in all shapes and sizes, Here's a guide to the many pitfalls AI agents can face.

The Pope Got Hung Up On. Your AI Stack Could Be Why.

The accountability gap the Pope describes is an AI architectural failure that will define the next phase of customer service AI.

The Customer Expectation Reset: How Generative AI Is Rewriting the Digital Experience Playbook

Generative AI hasn't just introduced new capabilities, it has fundamentally reset user expectations. The gap between expectation and reality is forcing a rethink of content infrastructure from the ground up.

The Real ROI of Agentic CX

Here's what should work beyond the hype.

AI in CRM: Where Security Risks Are Hiding

As AI agents gain autonomy inside CRM platforms, cybercriminals are exploiting hidden security risks to turn trusted CX automation into a silent gateway for customer data theft.

The Global Content Playbook: Why Brands Need Cultural Intelligence to Avoid Customer Experience Missteps

As AI enables brands to scale global content creation faster, cultural intelligence is emerging as a strategic driver to ensure multilingual content is not only linguistically accurate, but also culturally relevant.

Fraud Is a Revenue Problem and Your CRO Should Own It

Fraud is more than just a security failure; it is a revenue leak. Companies need to start treating it that way.

5 Reasons AI Is Underperforming in CX, and How to Fix It

While the problem is often framed as a technology issue—a limitation of models, tools, or algorithms—that diagnosis falls short of the complete picture.

How to Be a Truly Customer-Driven Organization

Becoming genuinely customer-driven requires more than good intentions.

How AI Enables Smarter Service for Manufacturers

Getting manufacturers on board with AI doesn't have to be a struggle. What it does require is the right foundation.

Stop Comparing Contact Center Wages with Vendor Rates

Fair build-vs.-buy decisions normalize in-house and outsourced options to the same loaded cost unit. Reject apparent savings that come at the expense of service and quality guardrails.

How CX Teams Can Keep AI Fatigue at Bay

Here are three disciplines that distinguish stalled rollouts from sustained results in AI-powered customer experience.

Designing for the Segment of One: Why Experience Architecture is Replacing the Campaign

Unify clean data and leverage AI to deliver highly individualized, real-time shopping experiences that seamlessly respond to customer intent and build long-term trust.

The Modern Contact Center’s Role in Delivering Consistent Customer Experiences

Bringing customer service functions under one coordinated system creates a more seamless service hub that leads to more satisfied customers and a healthier bottom line.

How AI Orchestration Is Reshaping Enterprise Software

System-level orchestration, where agentic AI executes work across enterprise systems and elevates human agent service and support, is the next great differentiator.

Speed, Clarity, and Seamless Handoffs: What Customers Actually Need to Feel Closure

Customer support teams that prioritize speed, clear communication and seamless AI-to-human handoffs give customers the sense of resolution that drives trust and long-term loyalty.

Voice AI: The Dos, the Don’ts, and What’s Next

Here's a practical guide to putting voice AI to work for your business.

Should Contact Centers Build or Buy Voice AI?

Whether a vendor owns and operates the model infrastructure is a critical concern.

Your Call Center Is Sitting on a Goldmine of Intelligence, if AI Is Allowed to Act on It

The challenge now is to identify use cases where agentic systems can produce measurable improvements in productivity, quality, and customer experience.

The Four Pillars of AI-Driven CX: Turning Technology into Trust

Here's how to deliver faster, smarter, and more empathetic customer experiences that drive measurable business outcomes.