Category: Contact Centre.

While artificial intelligence (AI) promises a revolution in contact centre productivity and operational efficiency, current deployment strategies are hitting a wall when attempting to bridge the scaling gap.

AI and automation are no longer optional; they are essential drivers of competitive advantage in every industry. Yet, many organisations plunge into these transformative initiatives without a clear understanding of their unique business landscape.

Strategic “tax avoidance” in this context is about applying the right level of intelligence to each workload, ensuring CX, cost discipline & operational resilience improve together.

The South African contact centre industry has arrived at a watershed moment in its global competitiveness. Compelling insights from the 2026 Inner Circle Guide to South African Contact Centres confirm that local operations continue to invest heavily in digital transformation at rates far above those in more mature developed markets, like the UK and the US.

Embracing artificial intelligence (AI) in the contact centre has become a non-negotiable but for many operators, defining and measuring its return on investment (ROI) to justify the spend is where the challenge lies.

On one side, systems of interaction – tools that manage how agents communicate with customers, from voice calls and chat to social messaging.  

On the other, systems of record – the back-end platforms that store and organise the data that defines the customer relationship, from CRMs to case management systems.

Artificial intelligence (AI) is transforming the contact centre environment, offering a wide range of applications that enhance efficiency, improve customer experience (CX), empower agents, and reduce costs.

Contact centre operators have emerged as first-movers in the adoption of AI solutions. Investment in AI continues to accelerate as the technology delivers tangible returns on investment across frontline engagement and back-office functions by reducing costs and improving operational efficiencies.

Just like Software as a Service (SaaS) disrupted the enterprise application market, AI will create new business models that will challenge the status quo in various industries. In this regard, Microsoft CEO Satya Nadella predicted that an AI-driven Agents-as-a-Service (AaaS) model will replace SaaS.