Project Info
NexaQuanta delivered an AI transformation solution for a major restaurant chain using agentic AI with RAG to power real-time access to internal policies. With a 24/7 conversational interface, the solution eliminates support tickets, handles multi-step queries autonomously, and reduces email volume and response times by 90% while ensuring consistent, up-to-date answers across the organisation.
- Client : A Major Restaurant Chain - Hospitality
- Category : Agentic AI Automation, AI Assistants, Enterprise AI Transformation
Project Info
Client & Industry:
- A Major Restaurant Chain – Hospitality
Challenge:
- 40,000 employees relied on email for routine policy queries
- Long delays and inconsistent answers company-wide
- Document volume made self-service discovery impractical
AI Solution:
- Agentic AI RAG indexes all internal policies in real time
- 24/7 conversational interface — no tickets, no waiting
- Multi-step queries handled autonomously; escalates only when needed
Business Outcomes:
- 90% reduction in support email volume, ticket backlog, and average response time
- 24/7 availability with consistent, up-to-date answers—regardless of query volume
AI Technologies:
- IBM Watsonx Assistant, Mistral LLM, LlamaIndex for Agentic AI, AWS and IBM cloud.
