Resources

Most QA programs review just 3% of interactions, leaving leaders making high-impact decisions from incomplete operational visibility.

Most contact center volume comes from repeat failures, forcing teams to absorb avoidable demand instead of eliminating root causes.

Disconnected CX systems create blind spots, forcing leaders to manage symptoms instead of identifying and resolving operational root causes.

Manual after-call work wastes agent capacity. AI automation reduces overhead, improves efficiency, and frees teams to focus on customers.

How conversational AI reduces contact center costs, improves efficiency, and helps operators scale support without scaling headcount.

Scala.ai Launches Strategic Advisory Board, Names Don Antonucci as Inaugural Member.

CX leaders aren’t failing. They’re being failed… by legacy systems that hide what’s really happening. It’s time to lead with intelligence, not guesswork.

Early CX wins fade fast. The problem isn't execution. It's treating customer experience as a project, not a living system.

In healthcare, CX guesswork isn't just costly - it's dangerous. When journeys span systems and channels, not seeing cause and effect is the real risk.

Self-service fails because it's built on assumptions, not reality. Until automation learns from actual behavior, escalations won't stop.

Contact centers are drowning in dashboards but starving for insight. More charts won't fix that. You need intelligence that connects the dots.

Healthcare queues exist because of staffing limits, not inevitability. AI enables 24/7 access by automating intake, routing, and resolution continuously.