CCH iKnowConnect AI is continuously refined through technical updates, expert validation, user feedback, prompt engineering, and performance testing—ensuring accuracy, relevance, and alignment with professional standards.
Retrieval Testing
We regularly assess the AI’s ability to surface the most relevant content using benchmark queries and real-world patterns.
Precision, recall, and relevance scoring help detect drift and maintain high-quality retrieval.
Expert Validation
Subject matter experts review AI outputs to ensure professional standards are met.
Their feedback informs golden datasets that improve retrieval accuracy and contextual relevance.
User Feedback
User feedback is analysed to identify common themes and guide future improvements.
Insights are prioritized in updates to better meet user needs.
Prompt Engineering
Prompts are continuously refined to improve how the AI interprets user intent and delivers targeted results.
Strategies are tested and optimized based on retrieval performance and expert review.
Model & Content Updates
AI models are periodically upgraded with the latest NLP advancements.
New legislation, commentary, and guidance are automatically re-indexed to keep content current.