Challenge
High-volume customer enquiries overwhelm support teams, leading to slow response times, inconsistent information, and rising staffing costs. Customers get frustrated by repetitive FAQs and manual ticket triage, undermining brand loyalty.
For businesses with no dedicated support teams, the challenge is more severe. Expensive resources are utilised while tackling basic queries and associated routine tasks.
How Mitochondria Solves It
Leveraging our agentic-AI expertise, we rapidly prototype a POC chatbot (even through WhatsApp) that integrates with your existing knowledge base and ticketing system (e.g. Zendesk, Freshdesk). It uses RAG (retrieval-augmented generation) and an appropriate LLM to:
Provide accurate, on-brand answers to common queries in real time
Detect intent and escalate complex or sensitive issues to human agents
Take actions linked to business activities, e.g., collect the necessary information to generate an initial offer and email a PDF attachment with the necessary details.
Process the conversation. For instance, summarising each conversation (viz. minutes of the meeting) and automatically emailing a transcript with next-step recommendations
Embed GDPR-compliant data handling and end-to-end encryption
This is a self-learning system. Continuous feedback loops refine prompt templates, knowledge-base retrieval, and escalation thresholds before full deployment, ensuring accuracy and customer delight.
Results
Implementing this workflow can approximately yield:
100% faster first-response times
100% reply rate
40% fewer tickets requiring human intervention
84% reduction in administrative time required
25% increase in customer satisfaction scores
100%
40%
84%
Mitochondria-BCS has previously offered marketing operations and communications services to 50+ brands, from pre-launch to enterprises.
