AI Governance & Control Systems
Control what AI can see, decide,
and change.
Implement AI governance systems with permissions, approval workflows, audit logs, risk scoring, escalation rules, and operational controls for responsible AI adoption across teams.
Overview
What we deliver.
As AI systems become more autonomous, companies need a control layer. We design and implement governance systems that make AI adoption visible, auditable, and manageable across teams. Policies matter, but production AI also needs enforceable controls — we translate AI policy into practical workflows, access rules, logs, approvals, and operating procedures teams can actually use.
Why PROSYS
Outcome-Focused
Every deliverable tied to a business outcome
Enterprise Security
Built to SOC 2 control objectives, encrypted by default
Predictable Delivery
Iterative releases with transparent reporting
Production-Grade
Tested, documented, deployed to production
Methodology
How we deliver.
Policy-to-System Mapping
Translate AI use policies into enforceable workflows, access rules, and procedures.
Agent & Tool Registry
Build a registry of what AI tools and agents exist, what they access, and who owns them.
Permission & Approval Model
Role-based access control plus approval workflows for sensitive actions.
Audit Logs & Risk Scoring
Log AI actions and outputs, and score risk for review and escalation.
Escalation & Rollback
Define escalation paths, a kill switch, and rollback procedures.
Operating Model
Document the governance model and dashboard requirements teams can run.
Technology Stack
Our AI Governance & Control Systems toolkit
Hand-picked tools and frameworks we use to ship production-grade ai governance & control systems projects.
Business Outcomes
What you get with every engagement.
Beyond the deliverable — measurable business impact, clean handoffs, and a partnership built to scale with you.
Case Study
Control Layer for Enterprise AI Agents
The Challenge
A company deploying AI agents across multiple departments had no shared model for what AI could access, decide, or change — and no audit trail.
The Result
Implemented an agent registry, permission model, approval workflows, audit logging, risk scoring, and escalation paths, with a kill switch and a documented operating model.
FAQ
Common questions.
Is this just a policy document?
No. Policies matter, but we translate them into enforceable controls — access rules, approval workflows, audit logs, risk scoring, and escalation paths that live in the system.
We have shadow AI adoption. Can you help?
Yes. We build an agent and tool registry so you can see what AI exists across teams, what it accesses, and who owns it — then apply a consistent control model.
What is a kill switch in this context?
A defined, tested way to disable or roll back an AI system or agent quickly if it behaves unexpectedly, along with the process for who can trigger it.
Next Steps
Ready to start your ai governance & control systems project?
Let's discuss your requirements and build a detailed proposal.