ASEHP — Institutional Control Systems

ASEHP, a public institution, was managing audits, compliance documents, and regulatory reporting through manual processes. Tracking deadlines, document versions, and audit findings across departments was chaotic, leading to missed deadlines and compliance risks.

I built an AI-driven institutional control and compliance system that automates audit workflows, document tracking, and regulatory reporting.

Audit schedules and compliance requirements are configured in the system

Documents are uploaded and automatically versioned, tagged, and linked to relevant regulations

AI analyzes documents for completeness and flags missing information

Automated workflows route documents through approval chains

Regulatory reports are generated automatically based on collected data

Automated audit scheduling with deadline tracking and reminders

Document version control with full audit trail

AI-powered document completeness checks

Multi-department workflow routing with approval chains

Automated regulatory report generation

Dashboard showing compliance status across all departments

Backend: Python

Database: Firebase, Supabase

Automation: Custom workflow engine

Zero missed compliance deadlines since deployment

Document processing time reduced by 70%

Audit preparation time cut from 2 weeks to 2 days

Full audit trail available for every document and decision

Adopted across 5 departments within the first quarter