1. Requirements Analysis
Understand your business needs, target audience, and define core chatbot objectives, KPIs, and detailed conversation flows.
2. Design & Training
Create detailed conversational scripts, curate and clean data, and train the Large Language Models (LLMs) to define the chatbot's persona and knowledge base.
3. Development & Integration
Build the core AI logic, implement the Natural Language Processing (NLP) pipeline, integrate APIs with your backend systems (CRM, ERP), and enforce security.
4. Rigorous Testing & QA
Conduct comprehensive UAT (User Acceptance Testing) and functional testing to validate accuracy, context retention, and seamless integration across all target platforms/channels.
5. Launch & Optimization
Full production deployment, real-time monitoring of key metrics, continuous feedback loop setup, and ongoing model training for perpetual performance improvement.