Original articled published in DM Magazine October 5, 2023

Meeting customer needs remains the central tenet of the support industry, and it’s equally crucial for business leaders to focus on the linchpin of these interactions: our most important asset—our agents.

It’s time for a change in perspective on customer support, stepping away from perceiving it as an unavoidable expense and acknowledging it as a catalyst for generating revenue. The foundation of outstanding customer relationships lies in a resilient support team. Without fully supporting them, you risk deteriorating service quality and the customer bond. Strengthening internal support teams is essential to maintaining that trust.

The Challenge of Churn

The support industry is experiencing a staggering turnover rate—ranging from 20% to over 200% at some organizations. Agents cite increased workload, stressful environments, and a struggle with legacy tools as primary drivers of burnout.

This high churn rate exposes businesses to reputational damage and staffing strains. However, according to research from the National Bureau of Economic Research (NBER), the integration of Generative AI has demonstrated significant improvements in performance, including a 14% increase in issues resolved per hour and lower attrition rates.

Automating Customer Support with Intelligence

The era of next-gen support is here. By harnessing predictive and generative AI, businesses can reposition support departments as pivotal revenue drivers.

1. Elevating the Agent Experience

According to a recent survey by CMP Research, retaining talent is the second most significant concern among support executives. By utilizing Automated Response Assist, simple, monotonous tasks can be handled by AI, enabling live agents to focus on complex issues that necessitate a human touch.

2. Predicting and Averting Escalations

Fewer escalations minimize employee stress and lead to lower attrition. Predictive AI uses machine learning and Natural Language Processing (NLP) to gauge a customer’s escalation risk by evaluating warning signs in unstructured data. With Prioritization Assist, agents can identify and address issues proactively.

3. Agent Training and Upskilling

Generative AI plays a pivotal role in streamlining onboarding. AI can synthesize extensive volumes of data to generate Case Summaries, providing agents with a clear overview of customer activity without requiring manual reporting. This keeps teams agile during economic fluctuations.

4. Humanizing Customer Support through Observability

At the heart of this revolution lies a layer of real-time observability. Just as monitoring systems are integral to DevOps, the oversight of customer interactions is critical for SX. NLP tools facilitate agents in identifying emotional states that might otherwise go unnoticed, fortifying enduring relationships.

Future-Proofing the Agent Experience

Business leaders must show they value the support experience by investing in resources that ease agent burnout. Predictive and generative AI’s capacity to interpret data is pivotal in addressing common hurdles like fragmented data and overwhelming backlogs.

AI’s enhancements extend beyond service quality—they refine product development and proactively avert future complications. This marks a significant shift as AI assumes a critical role in serving as the cornerstone for loyal customer relationships while fundamentally improving the agent experience.

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Contact:

Matt Maurel
matt.maurel@anthonybarnum.com
225-933-0123