Fragmented contact centre stacks are becoming a critical liability as GenAI adoption accelerates at 34% CAGR, because isolated tools cannot share customer context across channels—leaving chatbots unaware of previous calls, routing engines sending interactions to wrong queues, and agents starting conversations cold. The shift toward unified AI platforms with real-time integrations to CRM and ITSM systems is no longer optional; enterprises are consolidating around architectures that maintain persistent conversation layers and live orchestration, whilst those that delay risk accumulating "AI debt" through missed personalisation, slower resolution, and higher cost-to-serve.
For the better part of a decade, enterprise contact centres have followed a best-of-breed playbook: pick the best chatbot, the best voice routing engine, the best analytics tool, then stitch them together. On paper, it looks sensible. In reality, it creates a quiet crisis that GenAI is now amplifyin
GenAI Is Growing at 34% CAGR — and It’s Exposing the Contact Center’s Biggest Weakness CX Today