Six months on from our “Year of Difficult Conversations” whitepaper, a clear paradox has emerged. AI in contact centres delivers rapid wins, but without careful planning, those gains risk eroding into burnout, attrition, and declining customer satisfaction. This ‘AI Paradox’ shows why sustainable transformation depends on balancing efficiency with agent wellbeing.
In health & wellbeing, every interaction matters. As digital healthtech and rising expectations put pressure on contact centres, leading brands are turning cost centres into care hubs. By blending automation with empathy, they scale securely while protecting the trust and human connection that define the wellbeing experience.
AI boosts contact centre efficiency fast but without safeguarding agents, early gains collapse into burnout, turnover, and falling CSAT. The answer is agentic AI: systems that handle tasks while empowering humans, sustaining productivity and long-term ROI.
Pure Voice AI is the most disruptive contact centre use case yet, replacing agents for certain interactions with fully autonomous, human-like conversations. Beyond efficiency, it promises 24/7 service, smoother demand, and seamless multilingual support, making it a transformative shift for customer experience.
AI-powered hands-free conversations remove admin tasks, letting agents focus fully on the customer for faster, smarter, and more human interactions
As contact centre queries grow more complex, Agent Assist AI supports agents in real time, analysing calls, retrieving context, and guiding conversations. It reduces cognitive load, speeds up onboarding, and boosts satisfaction, helping transform contact centres into proactive value generators.
Are we entering the era of “perma-peak”? As demand surges become less predictable, this article explores how contact centres can stay agile with real-time planning, flexible resourcing, and smarter demand management.
As regulations tighten, AI is helping contact centres identify vulnerable customers more accurately and consistently. By analysing language and emotion in real time, businesses can act quickly to protect at-risk individuals, reducing both compliance risk and reputational damage. This is technology supporting ethical service at scale.
Auto Coaching uses AI to analyse agent interactions and deliver personalised, real-time feedback. It saves team leaders hours of prep, improves coaching consistency, and helps agents develop faster. All driving better customer experience and operational efficiency.
Auto QA uses AI to review 100% of calls, cutting QA effort by 75% while boosting accuracy, consistency, and compliance.
Manually summarising calls takes time and leads to errors. AI-driven autowrap automates this task, cutting wrap time by up to 50%, improving accuracy, and freeing agents to focus on customers—making it an easy win for contact centres.
AI is already transforming contact centres. We’ve unpacked seven high-impact use cases—from auto call summarisation to full voice AI—proving the future is now. Here’s where to start, what’s working, and how to deliver real value, fast.