Automated Evidence Collection

It ends the manual hunt for compliance artifacts by automatically capturing, organizing, and validating institutional evidence across departments as it is generated.

It captures across four channels: Learning Systems (course outcomes, assignment rubrics, and student performance distributions), Research Portals (publication links, grant approval letters, and patent filings), Placement Cells (offer letters, median salary data, and internship completion certificates), and Campus Activities (alumni interactions, extension activities, and guest lecture attendance).

No. The engine integrates directly with your existing academic infrastructure to silently capture compliance data without adding administrative overhead.

As evidence flows into the central repository, the intelligence engine cross-verifies it against the strict parameters of the target accreditation framework, instantly flagging issues such as missing signatures or invalid dates and routing incomplete items back to the department.

Evidence orchestration follows four stages: Capture at Source, Categorize by Criterion, Validate Integrity, and Package for Presentation.