AI Repositions Contact Centers as Strategic Assets: ISG

What happened

New research from ISG finds that artificial intelligence is fundamentally repositioning contact centres, shifting them from cost-driven operational units into strategic engines of customer insight, retention and competitive differentiation. The study describes a shift in how enterprises view customer service infrastructure, with AI capabilities increasingly seen as central to business strategy rather than a back-office expense to be minimised.

According to the research, this repositioning is driven by AI's growing ability to surface patterns in customer interactions, personalise service at scale, and support proactive retention efforts — capabilities that extend well beyond the traditional remit of handling call volume and resolving tickets efficiently.

Why it matters

For decades, contact centres have been managed primarily as cost centres, judged on metrics like average handle time and cost per contact. ISG's findings point to a structural change in that logic: as AI tools become capable of extracting strategic value from customer conversations — surfacing churn risk, product feedback and sentiment trends in real time — the contact centre becomes a source of intelligence that can inform pricing, product development and retention strategy across the wider business.

This has direct implications for how leaders in experience, AI and digital transformation allocate investment. Rather than being evaluated solely on efficiency, contact centre technology now needs to be assessed on its contribution to broader commercial outcomes — a shift that requires closer alignment between customer service, data and executive strategy functions than most organisations currently have in place.

The Renascence take

The elevation of the contact centre from cost line to strategic asset sounds like unambiguous progress, but the shift is harder than it looks. Most organisations still measure and reward contact centre teams on efficiency metrics, even as they ask those same teams to generate strategic insight — a structural contradiction that AI tooling alone cannot resolve.

The real barrier to a "strategic" contact centre isn't AI capability — it's incentive design. If frontline teams and their leaders are still bonused on handle time and cost per contact, no amount of sentiment analysis or churn prediction will change what actually gets prioritised on the floor. Before investing further in AI-driven insight generation, customer-obsessed operators should first ask whether their performance metrics, escalation paths and budget owners are set up to actually act on that insight — because unused intelligence is just an expensive dashboard.