Trend 1
Superior service
Welcome to the age of the hyper-helpful agent
There will be countless trend reports predicting that, thanks to AI, 2025 will be the year of hyper-personalized CX. While technological advances are indeed providing brands with unprecedented opportunities to understand and engage with their customers, the real trend these advances will enable is a shift towards hyper-helpfulness.
In the world of CX, the technologies, tools and processes that consistently deliver the best return on investment are those that liberate customer-facing staff to focus on adding value to the customer relationship. Simple yet impactful changes — like automating repetitive tasks, enabling robust self-service options and consolidating critical information onto a single interface — can yield extraordinary benefits. These improvements reduce live contact volumes, boost first contact resolution (FCR) rates, minimize average hold times, streamline after call work and optimize occupancy rates. And, in turn, that typically also leads to lower absenteeism and reduced agent turnover, a lower cost to serve and a higher level of CX delivery. And because of its immediate ability to further augment agent performance and productivity, it’s in these areas where generative AI is going to raise the bar again. For instance, employee-facing chatbots can assist agents during live interactions by quickly retrieving information from multiple systems, eliminating the need to search across various platforms. This not only speeds up response times but also ensures accuracy and consistency in the information provided to customers. Generative AI can automatically capture conversations, analyze insights and sentiment, and generate post-call summaries. This reduces post-call work for agents and provides more accurate customer insights that benefit the entire organization. Meanwhile, on-brand and on-message content can be generated on an industrial scale to aid agents in drafting emails or improving online chat interactions.
Business case
How AI transformed agent training for a leading global hospitality brand
Challenge
Our client, a global leader in travel and hospitality, struggled with high employee attrition, affecting its ability to provide consistent multilingual customer support and scale operations for seasonal demand.
Solution
Analysis revealed that existing training improved essential soft skills but failed to prepare agents for the diversity and volume of real-world interactions. This disconnect contributed to high attrition and difficulties in meeting targets like case resolution, average handle times and NPS. To tackle these issues, we implemented our AI Trainer platform, which offers hundreds of AI-generated multilingual simulations based on historical customer interactions.
The platform tracks learners’ competence in key skills and phases of customer conversations, from greeting to follow-up and provides real-time coaching and support. AI Trainer also creates a realistic, risk-free environment for new hires to practice using tools and systems while managing customer inquiries via voice or chat, simulating actual contact volumes.
Results
AI Trainer contributed to a significant reduction in staff attrition rates, which fell to 0.1%. NPS rose from 32 to 44 points while AHT fell by 12% and cases solved per day increased by 28%.
point NPS improvement
drop in agent attrition
improvement in agent productivity