Enterprise AI · Contact Center
CenteneMake the right answer arrive before the question becomes expensive.
Chris turned contact-center knowledge and workflow friction into a practical AI operating case—connecting retrieval, prompts, prototypes, summarization, and agent assist to the work happening in real time.
Agents needed faster access to reliable guidance while leaders needed proof that AI could improve the operation—not another disconnected demonstration.
A RAG support chatbot, prompt strategies for agent assist and call summarization, workflow guidance, knowledge retrieval, and prototype applications that made the use cases tangible for decision-makers.
The work reduced average handle time, created capacity inside a high-volume operation, and helped translate enterprise AI from an idea into a measurable business case.