Project Overview
A publicly traded technology services firm engaged NextTrust.ai to align its AI, cybersecurity, and data governance practices with emerging global standards and regulatory expectations. Rapid expansion into new markets had created inconsistent compliance practices, increasing audit findings and regulatory risk.
The objective was to build a unified, standards-aligned governance model that simplified oversight, improved audit readiness, and enabled defensible reporting to regulators, customers, and investors.
Challenges
1
Overlapping compliance requirements across AI, cybersecurity, privacy, and industry regulations
2
Manual, inconsistent evidence collection during audits
3
Limited traceability between policies, controls, and operational practices
4
Siloed risk management across IT, legal, compliance, and product teams
5
Growing board pressure for clearer reporting on technology and AI risk
Solutions
1
Designed an integrated governance structure aligned with ISO/IEC 42001, NIST CSF, and NIST AI RMF
2
Mapped regulatory requirements to unified control frameworks to reduce duplication
3
Implemented continuous evidence tracking and documentation processes for audit readiness
4
Established cross-functional governance committees with defined accountability and reporting lines
5
Created board-ready reporting dashboards linking risk posture, control effectiveness, and compliance status
Results
✓
Reduced audit preparation time through standardized and traceable evidence processes
✓
Improved regulatory confidence with defensible, standards-aligned governance artifacts
✓
Eliminated redundant controls and streamlined compliance efforts
✓
Enabled executive leadership to communicate technology and AI risk in clear business terms
✓