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Blog Posts

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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.

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.

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.

Case Studies

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Clearing a Medicaid Dental Program’s Call Queues in Under 90 Days

A healthcare technology company won a state contract to run phone support for its Medicaid dental program, which covers dental care for low-income families and individuals. That meant answering calls from members with questions about their benefits and from dental offices checking coverage and claims. When the company's staffing partner couldn't hire enough people, callers ended up on hold for hours.

How Automated Quality Monitoring Lifted Compliance 43%

A retail brand supporting high contact volume watched two numbers move the wrong way at once. Compliance scores sat below target, and customer satisfaction was slipping. Their quality scorecard showed the scores but not the reasons behind them. The issue was coverage. Manual quality programs review roughly 2% of interactions, so the behaviors actually shaping compliance and satisfaction were happening in the 98% nobody heard.

Cutting HIPAA Errors by 32% with AI Simulation Training

A large, established dental benefits provider brings on seasonal associates to handle peak contact volume, which leaves a short window between the hire date and live member calls. Qualfon's Learning and Development team found that the existing call center training plan was putting the organization at risk for HIPAA violations.

Special Reports

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An AI Governance Framework for Responsible Contact Center AI

August 28, 2026

As contact center AI becomes more deeply embedded in customer experience operations, organizations need a clear framework for managing risk, accountability, performance, and human oversight. This executive report presents a practical AI governance framework designed to help business leaders implement and scale AI responsibly.

Dynamic Staffing in Insurance: A Smarter Way to Handle Peaks Without Breaking Trust

July 7, 2026

Most organizations hire for their busiest periods and absorb the excess cost the rest of the year. Healthcare insurance offers one of the clearest examples of why that approach no longer works. This executive playbook explores how dynamic insurance staffing strategies help organizations align workforce capacity with changing demand while preserving expertise, customer trust, and operational efficiency. While the examples focus on healthcare insurance, the principles apply equally to retail, financial services, telecom, utilities, and any business navigating seasonal customer demand.

Breaking the Training Bottleneck: How AI is Revolutionizing Performance Development

October 23, 2025

Artificial intelligence is transforming how organizations approach employee development, with training applications representing one of the fastest-growing segments of AI adoption. According to recent industry research, 67% of learning and development leaders report that AI-enhanced training delivers measurable performance improvements within 90 days, compared to traditional methods that often require six months or longer to show results.