This is the public square for all things contact center. This is where the world's best Call & Contact center professionals come to get better at delivering a great experience for customers. Your contact center mentors - Amas Tenumah & Bob Furniss
Email was supposed to make customer service cheaper.
It didn’t.
It was supposed to make it more efficient.
It didn’t.
Instead, we built a channel where customers write essays explaining their problems, wait hours or days for a response, answer a follow-up question, wait again, and somehow call this progress.
Maybe it’s time to kill customer service email.
This week on The Contact Center Show, Bob and I get into that arg...
This episode cuts through the gap between what executives are saying about AI and what is actually happening inside contact centers. Companies are reporting major efficiency gains, yet contact volume and contact-center employment haven’t collapsed. Amas and Bob unpack the contradiction: pent-up customer demand, harder calls reaching humans, rising handle times, and ROI stories that are far more complicated than “AI save...
AI was supposed to replace contact center workers. Instead, there are more people working in contact centers today than there were at the beginning of the year.
That does not mean AI failed. In many areas, it has exceeded expectations.
In this season finale, Amas and Bob examine what they got right, what changed their minds, and what contact center leaders should expect next. They discuss why AI is changing frontline work rather than...
In this episode, Amas Tenumah and Bob Furniss explore the evolving landscape of customer service, tiered service models, and the role of technology in delivering personalized experiences. They discuss how companies can strategically implement paid and differentiated service levels to enhance customer satisfaction and operational efficiency.
takeaways
Companies should consider tiered service models to meet diverse customer needs.
Char...
Customer surveys were once the backbone of quality programs. Today, response rates are collapsing, customers are ignoring them, and contact centers are left wondering how to measure performance without reliable feedback.
Fresh from Customer Contact Week in Las Vegas, Amas shares a conversation that kept coming up among industry leaders: transactional surveys are failing. Some organizations have seen response rates drop nearly 90%, c...
The more important question might be: why are we still struggling with the same training problems we've had for twenty years?
In this episode, we tackle a challenge facing nearly every contact center: new hire training that produces high attrition, slow ramp times, and inconsistent performance.
The conversation started with a client losing roughly half of its new hires during training and another portion during nesting. Despite new t...
Bob just returned from Italy with a story that should make every customer service leader pay attention.
At train stations in Venice and Florence, there were no employees to help. Just kiosks. If you wanted a ticket, you figured it out yourself. If you had a question, there was nobody to ask. It wasn't a glimpse of the future. It was the present.
That experience led us into a bigger discussion about AI, automation, and what customer s...
AI hype is colliding with operational reality. A shoe company gains $127M in value by saying “AI,” while contact center leaders are told their entire model is obsolete. The shift from CCaaS to “Customer Experience Automation” reframes everything: not just support, but marketing, sales, and service collapsing into one AI-driven layer.
The problem: the foundation is broken. Knowledge is fragmented. Customer dat...
Exploring the future of AI in customer service, the role of agents, and how technology is transforming contact centers.
AI in customer service
The role of human agents vs. bots
Generative AI and workflow orchestration
Implications for contact center staffing
Future trends in AI and automation
00:00 Introduction and Guest Credibility
01:04 The Reality of AI Agents Today
01:43 AI as a Smart Assistant in Customer Calls
02:35 Agent Interaction ...
This episode explores the transformative impact of AI on quality assurance (QA) in contact centers. Hosts Amas Tenumah and Bob Furniss discuss how AI is revolutionizing call monitoring, evaluation, and coaching, emphasizing practical steps for leaders to leverage this technology effectively.
00:00 Introduction to QA in Contact Centers
00:51 The Impact of AI on Quality Assurance
03:50 Revolutionizing QA Processes
09:09 Shifting Perspect...
Exploring the evolution and challenges of Omnichannel strategies in customer service, from early concepts to current practices. Insights from industry veterans Bob Furniss and Amas Tenumah on what works, what doesn't, and how to focus on the most impactful channels. key topics
Origins of Omnichannel in 2010
Challenges in integrating multiple channels
The importance of focusing on top channels
Customer expectations vs. technological cap...
key topics
summary
In this episode, Bob Furniss and Amas Tenumah explore the roles and goals of supervisors in contact centers, emphasizing coaching, relationship-building, and strategic management. They share practical tips for setting goals, managing time, and developing future leaders.
Goals and metrics for supervisors
Time management and coaching focus
Building relationships with team and leadership
Mentoring future leaders in cont...
summary
This episode features a deep dive into contact center KPIs, exploring their flaws and how to measure customer experience effectively. Hosts Amas Tenumah and Bob Furness challenge industry norms and share practical insights for improving contact center performance.
key topics
Flaws in common KPIs like FCR, Service Level, NPS
The importance of standardized measurement
How to interpret and act on KPI ...
Summary
In this conversation, Amas Tenumah and Bob Furniss discuss the complexities of performance management, particularly focusing on forced distribution and its implications on employee evaluation and coaching. They explore alternative approaches to performance evaluation that prioritize individual performance over comparative scoring, emphasizing the importance of quality conversations in coaching. The discussion highlights the...
In this conversation, Amas Tenumah and Bob Furniss discuss the intricacies of performance reviews, emphasizing the importance of coaching and effective feedback. They introduce the YMCA methodology as a framework for coaching conversations, highlighting the need for ongoing dialogue and employee ownership in the performance management process. The discussion also touches on the significance of crucial conversations in fostering a p...
Summary
In this conversation, Amas Tenumah and Bob Furniss discuss the implications of AI in quality assurance within contact centers. They explore the benefits of AI, such as increased coverage and trend spotting, while also addressing concerns about accuracy and the potential for AI to replace human interaction. The discussion emphasizes the importance of using AI to enhance human capabilities rather than eliminate them, and the ...
Summary
In this episode, Amas Tenumah and Bob Furniss delve into the current state of Software as a Service (SaaS) and its intersection with artificial intelligence (AI), particularly in the context of contact centers. They discuss the recent downturn in stock prices for major SaaS companies like Salesforce and ServiceNow, attributing this to Wall Street's skepticism about the actual impact of AI on these platforms. Amas expresses ...
Most customer experience goals are meaningless. In this episode, Bob Furniss and Amas Tenumah dismantle the way contact centers set annual CX metrics and explain why leaders keep optimizing numbers that customers neither notice nor value.
Using insights from a John Goodman article on CX goal-setting, the conversation exposes the disconnect between executives, customers, and frontline teams—and why automation, deflection, and ...
Bob's 2025 prediction: AI would dramatically improve knowledge in contact centers.
Result: Early but mostly wrong.
The technology moved, but the data did not. Knowledge bases were too fragmented, too dirty, and too poorly governed for AI to meaningfully improve frontline work. The industry instead spent another year chasing bots, automation, and surface-leve...
Amas Tenumah explains why customer service is not "broken" but intentionally designed to fail. Drawing on decades inside contact centers, historical research, and real corporate incentives, he argues that long waits, deflection, and automation-first strategies are features—not bugs. The conversation dismantles common CX myths, challenges executive complacency, and frames consumer behavior as...
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