Projects & case studies

Case study library

Illustrative scenarios built on fictional data. They make no claims about employer outcomes.

ServiceNow IRM + UCF | Automated Regulatory Change Monitoring

Manually checking each regulator and framework publisher for updates is slow and risks missing compliance changes.

Risk, control and issue data scattered across spreadsheets limits visibility and auditability.

Manual GRC intake and approvals create delays and inconsistent records.

Policies lack acknowledgment tracking and exception control.

Controls require consistent testing with traceable evidence.

Audit findings need structured action plans and verified closure.

Vendor onboarding lacks risk-based tiering and consistent due diligence.

AI use cases are adopted without inventory, risk tiering or oversight.

Enterprise AI agents need defined roles, permissions and human oversight.

AI agent costs and latency must be visible and controlled.

Critical milestone slippage is detected late.

Five teams must align capacity, dependencies and objectives.

Critical incidents require coordinated response and recovery against RTO/RPO.