Problems We Address
Policies alone do not govern an autonomous workflow. Effective governance must connect business accountability to technical controls and evidence: who approves use, which actions require review, what is logged, how changes are assessed, and what happens when behavior leaves expected bounds.
Orbyntis helps organizations define that connection. Advisory work covers ownership, risk classification, approval gates, change control, monitoring expectations, evidence retention, incident paths, and review cadence for AI-enabled and agentic systems.
Engagement Approach
We start with the organization’s existing risk, security, and compliance practices rather than creating a parallel process. Requirements are mapped to observable system behavior and specific control points. The resulting operating model identifies decisions, owners, evidence, escalation paths, and triggers for reassessment.
Where external frameworks are relevant, they are used as organizing references—not as unsupported claims of certification or compliance.
Enterprise Scenarios
- Defining production approval criteria for autonomous workflows
- Mapping agent telemetry to security, risk, and audit needs
- Establishing change control for model, prompt, tool, or permission updates
- Designing review and incident processes across technical and business owners
- Aligning internal controls with recognized AI risk-management guidance
The outcome is a governance approach that teams can operate and verify, supported by evidence from the system rather than policy language alone.