AI Governance.
Frameworks, audits, and AI inventory. Built to stand up to the board, audit, and regulators.
Governance that protects and enables
Most AI programs don't fail at the model. They fail because the governance was never built.
THE PROBLEM
AI is moving faster than governance.
Organizations are deploying AI without clear oversight. Boards are asking questions. Teams don’t have the answers. The result is delays, risks, and stalled deployments.
HOW INSCEND AI APPROACHES IT
Operating-model logic, not legal-document logic.
We build a governance posture the business can operate. Clear AI inventory, defined risks, and workflows teams can follow. Designed for real oversight, not static documentation.
engagements
Sub-Services
Five offers, calibrated to the regulatory environment of the buyer.
AI Governance
Framework Design
Set up the framework: principles, policies, roles, and the operating model that supports them. Calibrated to the regulatory environment and existing maturity.
AI Risk Audit and Inventory
Identify AI systems in use. Assess risk, criticality, and gaps. Produce a clear inventory.
Regulatory Readiness
Assess against key standards. Identify gaps and define a clear path to compliance.
Vendor AI Risk Assessment
Assess AI risk posture of vendors, partners, and embedded features in software the firm already runs. Vendor by vendor scores and a remediation path.
Ongoing Monitoring and Reporting
Continuous monitoring against policy, with quarterly reporting suitable for the audit committee.
