KONVO
AI-powered voice automation platform where AI voice agents and human callers share live conversation context with hybrid telephony.
Product Context & Objectives
KONVO is an AI-powered voice automation platform where AI voice agents and human callers share live conversation context via a speech-to-text, LLM, and text-to-speech pipeline. Built to eliminate call delays, inconsistent call quality, and poor insight extraction, KONVO integrates 3 channels (telephony, CRM, messaging) to automate calls and generate follow-ups, shipping a working prototype within 8 weeks.
Identified Inefficiencies
Companies running voice operations often face call delays, inconsistent call quality, and poor insight extraction from conversations.
Engineered Approach
Engineered an AI-powered voice automation platform where AI voice agents and human callers share live conversation context via a speech-to-text, LLM, and text-to-speech pipeline; integrated 3 channels (telephony, CRM, messaging) to automate calls and generate follow-ups, shipping a working prototype within 8 weeks.
Stack & Architectural Components
Core Runtime
Next.js & TypeScript with modular API endpoints and optimized state management.
Data Persistence
Structured persistence and fast querying with indexing and schema validation.
Security & Scalability
Strict input validation, responsive cross-device layouts, and structured error handling.
Key Implementation Highlights
- Designed and built complete end-to-end user workflows with emphasis on speed and usability.
- Implemented resilient error handling and asynchronous data fetching with optimistic UI updates.
- Structured clean, reusable component architecture aligned with industry SaaS and engineering standards.
- Tested across modern browsers ensuring strict accessibility, fast rendering, and zero layout shift.