AI policy drafting
AI usage, review and escalation policies written and maintained.
AI governance support — policy drafting, risk review, audit trails, compliance mapping, incident logging and AI usage oversight — so your AI stack stays defensible.
AI in production raises questions every audit, legal review and enterprise buyer will ask: who approved this AI system, what data does it touch, how is output reviewed, what happens when it fails and where are the records? Most teams ship AI fast and answer those questions later — usually under pressure.
Opervics runs AI governance support as a managed function — policy drafting, risk review, audit trails, compliance mapping, incident logging and AI usage oversight — so your AI stack stays defensible as it scales.
AI usage, review and escalation policies written and maintained.
AI systems and workflows reviewed for risk, bias and control gaps.
Decisions, approvals, prompt changes and reviews documented and retrievable.
AI usage mapped to relevant standards, regulations and internal controls.
AI incidents logged, categorized and reported with root-cause notes.
Reviews completed, gaps closed, incidents logged and policy updates.
These are the same operational issues we see across clients — and the same ones our process is designed to remove.
Teams use AI tools without documented rules or review requirements.
AI decisions and prompt changes happen with no record.
Nobody knows who owns AI risk or where to escalate issues.
AI usage isn't mapped to relevant standards or internal controls.
AI failures and near-misses aren't captured or reviewed.
Nobody can produce evidence of oversight when asked.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Access, change management, monitoring and incident response aligned to SOC 2.
Role-based access to AI systems, logs and records — scoped and audited.
Every AI change and policy decision recorded and retrievable.
Reviews completed, gaps closed, incidents logged and policy updates reported weekly.
AI policy drafting, risk review, audit trails, compliance mapping, incident logging and AI usage oversight.
No — we provide the operational layer: drafting, documentation, review and reporting. Final decisions stay with your team.
Your existing frameworks — SOC 2, ISO 27001, HIPAA, GDPR, NIST AI RMF or internal controls — set by you.
AI incidents are logged, categorized, reviewed with root-cause notes, and reported on a fixed cadence.
Reviews completed, gaps closed, incidents logged and policy updates — reported weekly.
Per AI system, per review volume, or as a monthly retainer — agreed upfront.
A short conversation is usually enough to scope the AI stack and propose a starting point.