Governance & Compliance
Scale Agents Without Losing Accountability
Governance and compliance is how teams move from promising agent pilots to production systems that are safe, reviewable, and ready for customer due diligence. We help put the operating model, documentation, and technical controls in place so agentic systems can scale without losing accountability.
What Governance Means for AI Agents
AI agents create different governance needs than typical software because they can take actions across tools, data sources, and systems—sometimes with partial autonomy. Good governance sets clear boundaries (what an agent may do), clear ownership (who is responsible), and clear oversight (how behavior is monitored and corrected).
What We Do
Governance Program Design
Define decision rights, roles and responsibilities (RACI), approval gates, escalation paths, and human-in-the-loop checkpoints that match the risk of each agent workflow.
Policies and Guardrails
Write practical, enforceable policies for agent use—data access rules, tool/integration allowlists, environment separation, and release/change management.
Risk Assessments and Framework Alignment
Assess agent use cases and map controls to widely used governance frameworks such as the NIST AI RMF (GOVERN, MAP, MEASURE, MANAGE) and AI management system requirements aligned with ISO/IEC 42001.
Audit-Ready Documentation
Build the artifacts enterprise buyers and auditors look for—agent inventories, data flow summaries, logging/traceability expectations, incident response playbooks, and evidence packages that can be kept current.
Monitoring and Continuous Assurance
Implement ongoing monitoring for agent behavior (decision and tool-use logging, boundary/drift detection, and intervention controls) so governance continues after launch.
What You Get
Deliverables are designed to be adopted immediately: a lightweight governance blueprint, policy templates, risk register, control checklist, and incident/rollback procedures tailored to the specific agents being deployed. The goal is a review process and control set that holds up to security questionnaires, procurement reviews, and internal audit without slowing delivery to a crawl.
When This Is Most Useful
This work pays off when moving from prototype to production, connecting agents to sensitive systems, or selling agent-enabled products into enterprise environments where trust and auditability are non-negotiable.
It is also valuable for teams standardizing practices across business units and regions, where a single, consistent governance model reduces operational and regulatory surprises.
Ready to build governance that scales?
Let's create controls and documentation that enable safe, auditable agent systems.