Intelilab uses its own Artificial Intelligence tools for Quality System tasks that currently take hours of reading, comparison and consolidation.
AI prepares the material. Analysis, approval and accountability remain with qualified people.
AI reads the applicable regulation and the company's procedures and builds a matrix, requirement by requirement. The matrix shows where each requirement is met, where it is partially met and where it does not appear in any document.
The Intelilab team reviews each gap before delivery.
AI prepares draft protocols based on user requirements and manufacturer manuals. It also analyzes thermal mapping and monitoring data.
Test execution and document approval remain with qualified professionals.
Deviations, complaints, CAPA, training and metrics are often scattered across spreadsheets and systems. AI brings these sources together in periodic reports and points out trends: the same deviation that keeps coming back, the area with the most occurrences, overdue actions.
Tracking due dates for training, calibrations, supplier qualification and procedure reviews.
Some of these routines do not need AI, but rather a well-designed automation. Intelilab defines what each case requires.