We Engineered Effort Into the Contact Center. Now We’re Paying for It.

Contact center burnout did not appear overnight. It accumulated quietly, feature by feature, workflow by workflow, decision by decision. Leaders optimized for speed, coverage, and control. Agents absorbed the cost in cognitive load. Supervisors absorbed it in an expanding span of control. Customers experienced it through inconsistency and fatigue.

That tension framed a recent conversation between Nate Brown and Matt McGinnis, VP of Product, Industry, and Solution Marketing at Five9. The takeaway for senior leaders was direct. The future of contact center performance depends on removing unnecessary human effort and redesigning work around how people actually think, recover, and develop.

Effort sits upstream of every metric executives care about. Ignore it and performance plateaus. Address it deliberately, and the results stabilize.

Eliminate Work That Adds No Human Value

McGinnis grounded the discussion in operational reality.

“There’s a lot of busy work taking up the bulk of an agent’s time,” he said. “Technology can help remove that.”

Voice interactions make the issue obvious. Customers speak with varied accents, phrasing, and emotional intensity. Agents must interpret intent while navigating systems, policies, and tone in real time. That cognitive juggling drains energy quickly.

Real-time transcription changes the interaction immediately. Agents listen and read simultaneously. Comprehension improves. Misunderstandings decline. Keyword detection and contextual guidance surface relevant information when it matters.

For executives, the implication is clear. Reduce cognitive friction during the interaction, and quality improves without adding headcount or extending coaching cycles.

After-Call Work Quietly Undermines Performance

Many leaders underestimate what happens after the call ends.

Agents exit emotionally charged conversations and face documentation that demands structure and precision. Writing requires focus. Focus requires energy. That energy is already depleted.

McGinnis described how automated summarization reframes the task. Documentation shifts from reconstruction to review. Agents regain time, but the more meaningful gain is psychological.

“What used to be an extensive mental writing exercise now becomes a light review,” he said. “That gives people time back to reengage.”

Leader takeaway. Evaluate after-call work as a recovery issue, not a productivity metric. Fatigue surfaces later as errors, disengagement, and attrition.

Confidence Forms Earlier Than Leaders Expect

When the conversation turned to high-performing teams, McGinnis focused on onboarding.

Contact centers struggle with churn because new hires take too long to feel capable. Embedded guidance shortens that gap. Knowledge is stored within the workflow rather than in binders or memory.

Agents recognize patterns faster. Decisions come with less hesitation. Confidence develops earlier.

Confidence predicts retention and customer outcomes. Leaders who shorten time-to-confidence reduce churn without relying on incentives or constant hiring.

Supervision Shifts From Presence to Judgment

Traditional supervision relied on physical or digital presence. Whispering. Barging. Monitoring. That approach required constant attention and duplicated effort.

Modern platforms analyze every interaction and automatically trigger actions. Sentiment analysis highlights risk. Quality systems surface coaching opportunities. Routing adjusts when mismatches occur.

Supervisors stop scanning endlessly. They focus on where judgment adds value.

For senior leaders, this expands leadership leverage. One supervisor can influence thousands of interactions when the system curates attention effectively.

AI Agents Reshape Capacity and Focus

McGinnis pointed to AI agents as the most consequential shift ahead.

As these systems mature, customers receive immediate service for transactional needs. Human agents concentrate on complex, high-impact work.

Routing evolves alongside that shift. Static skills give way to dynamic attributes that reflect real-time performance and context. Systems adapt as humans change throughout the day.

Executives should treat this as a design decision. Where humans add the most value defines the operating model.

When Systems Fail, Trust Erodes First

Broken technology announces itself quickly.

Agents bypass guidance. Supervisors override recommendations. Workarounds spread.

McGinnis acknowledged the risk plainly. AI can hallucinate. Data can mislead. Tools require governance.

Leaders must define outcomes, monitor performance, and maintain control. Technology amplifies intent. Poor design amplifies risk.

Growth Paths Anchor the Workforce

The conversation closed on a question many leaders avoid.

What happens next for frontline talent?

Agents develop a deep understanding of customers and operations. With the right tools, they become designers, analysts, and leaders. AI accelerates that transition by removing low-value work and expanding visibility.

Organizations that invest in growth retain talent and institutional knowledge. Those that do not continue to absorb hiring and training costs.

The Leadership Cost of Ignoring Human Effort

Contact center performance improves when leaders remove unnecessary human effort.

Eliminate work that drains energy without adding value. Support judgment during the interaction, not only after it. Design systems that respect human limits and variability.

Do that and efficiency follows. Engagement follows. Customer trust follows.

Ignore it, and no technology investment delivers the outcomes leaders expect.