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Digital shield with a checkmark over a circuit board, representing oversight and guardrails in an AI governance framework

AI Governance: Is Your Framework Keeping Up With AI?

Artificial intelligence is rapidly transforming customer experience operations. From automating routine interactions to equipping associates with real-time insights, the opportunities to improve efficiency, performance, and customer satisfaction are significant. As organizations move beyond experimentation and begin scaling AI across their operations, AI governance is becoming a critical part of responsible adoption.
Smiling woman unboxing a premium product from a branded package at home

What Fast-Growing Premium Brands Should Look For in Contact Center Outsourcing Services

For premium brands, growth creates an interesting customer experience challenge: how do you scale service without making the brand experience feel less personal? That makes choosing the right customer service outsourcing or contact center outsourcing partner especially important.
Team reviewing marketing performance charts and data reports on conference table

Q4 AEP Checklist: Execute, Optimize, and Finish Strong

The fourth quarter is where months of AEP planning finally meet the market. By this time of year, your strategy is built, and your campaigns are ready. Agents have prepared, and lead sources have been evaluated. Now it’s time to actually do the thing you’ve prepared for all year. Q4 is about execution, but it’s also about listening to what the market tells you and making smart adjustments while there’s still time to affect the outcome. And that distinction matters.
Silhouettes connected by a digital network, representing human-centered customer experience.

Intention Is the Difference: Keeping People at the Center of Regulated Industries

After decades of working in BFSI and Healthcare, I've watched these industries evolve through countless technologies, regulations, operating models, and changing customer expectations. But through all that change, one thing has remained remarkably consistent: People need help.
Two colleagues in a supportive one-on-one conversation at an office desk

From Pilot to Proven Value: How Predictive Workforce Analytics Can Strengthen Employee Retention

Recently, I wrote about predictive analytics and how it can improve lead generation. Another extremely important use case in the CX world is using predictive analytics to strengthen employee retention. The challenge with employee attrition is that it is often managed after the fact. Leaders review turnover reports, study why employees left, and attempt to prevent the same patterns from recurring.
Five people of different generations using smartphones while standing outdoors

5 Generations in the Insurance Call Center

Would you care for a sick 20-year-old in the same way you would care for a sick 80-year-old? The answer seems obvious, and yet five unique generations interact with contact centers every day, while enterprise brands continue to rely on one-size-fits-all customer care strategies. Today’s insurance contact centers serve Gen Z, Millennials, Baby Boomers, and the Silent Generation. Each generation brings its own expectations around mobile usage, self-service, response speed, trust in AI, and human interaction.

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