AI Policy & Framework Development
We work with your leadership and compliance teams to design a bespoke AI governance framework that defines acceptable use, risk thresholds, data handling standards, and model approval workflows. Our policies are written to be actionable, not just documents that sit on a shelf, and are aligned to your organization's risk appetite and regulatory obligations.
AI Risk Assessment
Before any model goes into production, our experts conduct a structured AI risk assessment to identify potential failure modes, data quality issues, bias vectors, and security vulnerabilities. We categorize each AI system by risk level and recommend proportionate controls so high-risk applications receive the scrutiny they demand.
AI Governance Software Implementation
Technology is essential to scalable governance. C-Metric helps organizations select, configure, and integrate leading AI governance software platforms by covering model registries, audit trails, explain ability dashboards, and automated policy checks. We connect governance tooling to your existing ML Ops and data pipelines so compliance becomes part of your development workflow, not an afterthought.
AI Governance Compliance Audits
Our independent AI governance compliance audits assess your AI systems against the regulatory frameworks and internal policies that apply to your business. Each audit produces a detailed findings report, a risk heat map, and a prioritized remediation roadmap. We also help you prepare audit-ready documentation for regulators and board-level reporting.
Ongoing AI Monitoring & Reporting
We all know that AI models drift. What performs fairly today may develop bias or degrade in accuracy over time. C-Metric provides continuous monitoring services that track model performance, flag data drift, and generate governance dashboards for executive stakeholders by keeping your AI compliant and aligned long after go-live.
