Containment is dead: Five takeaways from the AI ROI in Contact Center Summit
The business move
TheCUBE Research’s AI ROI in Contact Center Summit gathered vendors and analysts to rethink long-held assumptions about AI performance in customer support. Rather than pitching products, conversations centered on moving past containment as a key success metric in AI-powered contact centers. Containment—measuring how often AI or automated systems fully resolve queries without agent intervention—is losing favor. The summit co-host highlighted this shift alongside Cisco executives and others, signaling a strategic recalibration in how AI’s value is measured in contact centers.
Why it matters
Containment as a performance metric pressures teams to design AI that avoids human handoff. While efficient on paper, it can mask poor customer outcomes like unresolved issues or frustrated callers. Letting go of containment forces vendors and operators to focus on broader impact: customer satisfaction, agent enablement, and business outcomes beyond raw deflection rates. Operators will need to integrate AI overlays that improve overall interaction quality rather than just deflect volume.
This change accelerates the adoption of AI as an assistant rather than a gatekeeper, reshaping how contact center organizations evaluate technology investments. It improves trust in AI by prioritizing meaningful resolution, not just cost-cutting. Buyers will have to demand clearer ROI metrics encompassing agent productivity and customer loyalty rather than simplistic deflection stats.
Who gains and who gets squeezed
Vendors offering AI solutions that supplement agent workflows and enable higher-value interactions benefit from this shift. Cisco’s involvement reflects how corporate giants are betting on AI augmenting human skills instead of replacing agents outright.
Conversely, vendors whose products lean heavily on containment and automated call deflection risk appearing obsolete. Customers will push back on AI that sacrifices quality for short-term cost savings. Contact center operators will face pressure to re-architect their AI strategies, emphasizing seamless human-AI collaboration.
What to watch next
Watch for new AI ROI frameworks emerging that balance containment’s efficiency with metrics tied to customer satisfaction, first-contact resolution, and agent experience. Vendors that integrate quality measurement tools and agent assist features should pull ahead.
The evolving sales narratives and contract structures around AI in customer support will also be revealing. Look for buyer demands for trial KPIs beyond containment and for more consultative partnerships that address complex workflows rather than offering plug-and-play automation.
This change pressures the entire contact center AI ecosystem to pivot from a containment obsession to a focus on true operational and customer success. How quickly industry players shift will shape competitive dynamics and the definition of AI’s role in the contact center.
AI Quick Briefs Editorial Desk