AI Governance Center
AI Agents that Pass the Toughest Exams
Institutional Control
AI Agents Operate Within Defined Boundaries
Arbiter agents apply institution-defined procedures, risk thresholds and escalation standards to every workflow decision. Your policies determine which outcomes are accepted or escalated for human review.
Policy Guardrails
Turn internal procedures into deterministic guardrails, keeping institutional policies as the governing standard behind every agent output.
Decision Authority
Control the decision-making authority assigned to AI agents within each workflow.
Human Oversight
Retain human review where policy or risk requires it.
Validate the Full Agentic Workflow
Arbiter agents are tested across the workflow, from the quality of the underlying data to AI-assisted analysis and the institution-defined decisioning policies that determine the final outcome.
Input Integrity
Verify the quality and integrity of workflow inputs.
Decision Logic Testing
Test your institution’s decisioning criteria against expected workflow outcomes.
AI Output Validation
Validate AI-assisted analysis against structured test cases and predefined performance standards.
Performance Validation
Ongoing Oversight
Post-Deployment Monitoring and Governance
We continuously monitor deployed agents for drift, exceptions and threshold breaches, helping institutions sustain consistent and reliable agent performance.
Ongoing Validation
Regularly compare current outputs against established baselines to detect performance drift.
Change Governance
Material changes to agent configuration follow structured review and testing before release.
Evidence Updates
Keep governance documentation up to date with regular release notes and change notifications.
Ready-to-Use Evidence for Model Validation Teams
We provide structured documentation and evidence package covering how Arbiter is governed, tested and monitored. These materials support internal validation, third-party review and ongoing oversight.
Review-Ready Evidence
Receive governance, testing, monitoring and independent assessment artifacts for risk, audit and assurance teams.
Clear Validation Ownership
Map responsibilities across the validation process with a clear framework to simplify internal review.
Built-In Explainability
Trace how AI outputs are evaluated, tested and applied against your defined decision policies.
Independent Validation Support
“Castellum.AI is one of the most nimble vendors I’ve ever worked with, and they care about your ideas. Unlike other providers where you submit a ticket and wait weeks for a response, the team is always readily available for assistance and technical support. They put out a great product that allows us to truly own the risk and the process.”
Recognized by leading industry analysts
Ready to discuss your requirements?
Connect with our team for a closer look at Arbiter’s governance, validation approach and available diligence materials.