AI Compliance & Agreement Oversight
A governed enterprise platform for control testing, evidence review, agreement obligations, human-supervised AI decisions, and audit-ready reporting.
01 / The problem
What needs to change
Compliance evidence, testing workflows, agreement obligations, and portfolio reporting are often spread across disconnected tools, making oversight slow and difficult to trace.
02 / The approach
A focused path through the complexity
The product brings governed program catalogs, reusable tests, evidence requests, AI-assisted review, agreement extraction, and human decisions into one role-aware operating environment.
03 / Key capabilities
What the system is designed to do
- Configurable compliance libraries and reusable test scripts
- Evidence collection with redacted-by-default review
- AI review queues with explicit human decisions
- Cited agreement-obligation extraction
- Governed reports, notifications, and audit history
04 / Architecture
Technology and system shape
- React and TypeScript enterprise application shell
- Shared local and managed API contracts for consistent testing
- Provider-agnostic LLM configuration with governed prompt settings
- Relational persistence design with traceable workflow and audit records
- Azure Static Web Apps and managed-functions deployment path
05 / Results
What the repository demonstrates
- The repository implements an end-to-end MVP spanning compliance setup, testing, evidence, human-reviewed AI output, agreement oversight, and reports.
- Safety boundaries remain visible through role controls, audit events, source citations, and human approval checkpoints.
06 / Lessons
What the work teaches
- AI review is more useful when it lives inside a governed workflow instead of operating as a detached chatbot.
- Evidence lineage and explicit reviewer decisions are product features, not back-office details.
07 / Screenshots
Approved visuals
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