Several concerns overlap
Ownership, AI use, vendor access, information handling and recovery cannot be separated cleanly.
The AI & Digital Operations Review gives leadership a broad, evidence-based view of digital ownership, information flow, AI use, vendor access, recovery and oversight. It is designed for organizations that need more depth than the focused Digital Operations Checkup.
This review is intended for organizations that need to understand how digital operations work as a connected system rather than reviewing one isolated control.
Ownership, AI use, vendor access, information handling and recovery cannot be separated cleanly.
New platforms, employees, contractors and integrations have accumulated without a current operating map.
Scattered technical answers must become assigned decisions, priorities and evidence management can revisit.
The scope is adapted to the organization, while the same six domains help prevent important dependencies from disappearing between people, providers and platforms.
Domains, cloud tenants, websites, line-of-business systems, billing ownership, administrators and recovery authority.
Where business information is stored, shared, copied, processed and retained across approved and informal channels.
Tools, embedded features, use cases, information boundaries, human review, approval and ongoing monitoring.
Outside providers, integrations, remote tools, permissions, responsibilities, offboarding and concentration risk.
Coverage, exclusions, administration, monitoring, retention and available evidence of representative restoration.
Key-person dependencies, alternates, escalation paths, documented decisions and recurring management review.
The review does not treat AI as a software shopping exercise. It examines how a proposed or existing use supports the business, what information it can access, which provider terms matter, who reviews outputs and how use will be monitored as tools change.
Canadian direction: Canada’s current AI strategy and the ISED SME deployment toolkit emphasize practical adoption, use-case risk, trustworthy deployment and support appropriate to smaller organizations.
Risk and management guidance: the review draws on concepts reflected in the NIST AI Risk Management Framework and ISO/IEC 42001, including governance, risk assessment, accountability, monitoring and continual improvement.
The boundary: CyberTECT does not certify ISO/IEC 42001 conformity, provide legal opinions, guarantee compliance or represent that using a framework removes AI or cybersecurity risk.
ISED SME AI Deployment Toolkit · Canada’s National AI Strategy · NIST AI RMF · ISO/IEC 42001
CyberTECT reviews available evidence using the least access reasonably required, then separates verified conditions from assumptions, gaps and items that remain untested.
Book a consultation to confirm whether the comprehensive review, focused Checkup or Break-Glass service fits the current concern.