Case Studies
Examples below are anonymized and distilled from cross-functional delivery engagements across multiple industries.
Challenge: Agents spent significant time answering repetitive status and scheduling questions.
Approach: Designed an AI voice journey connected to customer records, scheduling workflows, and contact-center escalation.
Result: Routine requests could be completed conversationally while complex calls reached an agent with intent and context preserved.
Challenge: Callers moved between digital chat, telephone menus, and live staff while repeatedly explaining the same need.
Approach: Unified chatbot and voicebot state, established identity controls, and redesigned warm-transfer context for access-center agents.
Result: A more continuous patient journey with clearer automation boundaries and better-prepared human escalation.
Challenge: High transfer rates and limited visibility into why client-facing conversations failed.
Approach: Added intent classification, AI-assisted routing, conversation analytics, and governed fallback behavior.
Result: Faster routing to the right service line and an evidence-based backlog for improving automated and human conversations.
We evaluate whether the customer completed the intended task, received an appropriate answer, or reached a prepared human agent—not simply whether automation kept the call.
