New Year Predictions — What 2025 Got Wrong, What 2026 Gets Right
Release Date: 01/13/2026
Contact Center Show
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 data Practical tips for contact center improvement resources Contact Center Metrics Best Practices - https://example.com/contact-center-metrics Net Promoter Score...
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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 detrimental effects of scoring systems on employee morale and the need for a shift in focus towards meaningful feedback and development. Forced distribution...
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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 productive work environment. Takeaways Performance reviews should not contain surprises for employees. Coaching is essential for success in contact centers. The YMCA...
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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 need for effective coaching and data utilization to improve agent performance. Main Content: Understanding AI in Quality Assurance The podcast opens with a...
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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 concern that the hype surrounding AI is outpacing the reality of its implementation, suggesting that many companies are not yet ready to fully embrace AI-driven...
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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 “respectable” percentage improvements often make service worse, not better. This episode is about shifting from internally convenient metrics to customer-impactful...
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2025 predictions — graded AI-powered knowledge 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-level “AI assistants.” Grade: C+ The failure was not AI. It was the state of enterprise knowledge. Remote work reversal Bob’s 2025 prediction: Work-from-home would shrink and...
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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 the only force capable of triggering real change. Core Themes The Suffering Economy of Customer Service: When service is universally bad across industries, it’s systemic. Incentives—not...
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Summary The conversation explores the integration of AI in sales, focusing on how it enhances customer engagement and improves sales efficiency. Bob Furniss discusses the importance of using data to empower salespeople rather than reducing their numbers, emphasizing a customer-centric approach to AI in sales. Takeaways AI can enhance customer engagement in sales. The focus should be on empowering salespeople with data. AI is not just about reducing costs but improving efficiency. Sales strategies should prioritize customer needs. Data-driven insights can lead to better sales...
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Summary In this conversation, Amas Tenumah, Bob Furniss and Brad Cleveland discusses the three levels of value that contact centers create: efficiency, customer satisfaction and loyalty, and strategic insights provided by AI. He emphasizes the importance of these levels in improving products, services, and processes. Takeaways there's three levels of value that contact centers create Level one is efficiency customer satisfaction, loyalty, if we do a good job it's the strategic insight that AI can provide it can still tell us, hey, here's a trend I'm seeing Here's an opportunity to improve...
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2025 predictions — graded
AI-powered knowledge
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-level “AI assistants.”
Grade: C+
The failure was not AI. It was the state of enterprise knowledge.
Remote work reversal
Bob’s 2025 prediction: Work-from-home would shrink and revert toward pre-COVID norms.
Result: Correct.
Remote and hybrid work has fallen to within five percentage points of pre-COVID levels. Companies quietly reversed course not because it helped customers or employees, but because leadership never learned how to manage distributed teams.
Hybrid was the worst of both worlds: frontline leaders juggling physical rooms, video calls, and dashboards without the training or structure to do any of it well.
Grade: A
Why remote work collapsed
The reversal was not ideological. It was operational.
Executives defaulted back to what felt controllable: physical presence. Organizations refused to do the hard work of re-engineering leadership, coaching, quality management, and accountability for a distributed workforce. They solved a people problem with proximity.
Amas’ prediction for 2026
Voice comes back.
Digital channels absorbed most of the AI hype: chat, bots, messaging, and self-service. But customers never stopped calling. Voice is where frustration spikes, where trust is tested, and where automation breaks down.
Amas’ call:
2026 will be the year voice reasserts itself as the center of the customer relationship — and the CCaaS market will look radically different by 2027 because of it.
Bob’s prediction for 2026
Data becomes the bottleneck.
AI will only become useful where it has access to clean, structured, reliable data. The industry rushed into AI before fixing the foundations: knowledge, case data, call logs, customer history, and operational context.
2026 will be the year contact centers slow down, audit their data, and rebuild the plumbing that AI actually runs on.
No data. No intelligence.
What the industry is claiming
Analysts and vendors are promising three things for 2026:
• Predictive and proactive service
• Agent empowerment through AI
• Fewer humans in contact centers
Bob and Amas reject the third and remain skeptical of the first two without structural change. The hype assumes AI will replace labor. Reality says AI will expose how broken the systems around labor really are.
Amas’ 2026 wish
Stop calling software “agents.”
For twenty years, “agent” meant a human being doing emotional, cognitive, and relational labor. Rebranding bots as agents erases the workforce and confuses accountability.
Language shapes power. That battle matters.
Bob’s 2026 wish
Focus on the employee.
AI should not be used to replace people. It should be used to remove friction from their work: searching, documenting, switching systems, hunting for answers. Knowledge was always the real use case. The industry just skipped the hard part.
Core takeaway
2025 proved that AI without data, governance, and human-centered design does not transform anything. It only adds noise.
2026 will reward the companies that stop chasing demos and start rebuilding the foundations: voice, knowledge, data, and frontline enablement.
That is where the real disruption will come from.