Your AI policy is not a control. It is a document.
Move from governance theory to production-ready guardrails. We design and implement the operational controls that govern AI interactions inside your existing systems.
Certified expertise
AI Security & Governance
Credential awarded to Kennedy Maweu
Trusted in complex environments
“The conversation moved our team from broad AI policy to clear ownership, practical controls and decisions we could act on.”
The gap between policy and production.
Most organisations have an AI policy. Very few have implemented the controls to enforce it.
You have approved the use of AI tools, but you do not have real-time visibility into how they are being used, what data they are accessing, or whether they are making decisions without human oversight. This gap is where compliance risk, data leaks, and operational failures occur.
Shadow AI
Employees using AI tools you have not approved, with credentials you cannot see.
Data Leakage
Sensitive data entering external AI models without redaction or controls.
Unowned Decisions
AI systems acting without a named owner, approval threshold, or audit trail.
Governance guardrails: four layers of control.
The controls that turn your AI policy into something your systems actually enforce.
Data Protection Controls
- Implement automated redaction of Personally Identifiable Information (PII) before it reaches external AI models.
- Define and enforce data boundaries so agents can only access approved systems.
Runtime Guardrails
- Configure protections against prompt injection, jailbreaks, and unauthorized tool usage.
- Establish circuit breakers and rollback mechanisms for automated actions.
Human-in-the-Loop Workflows
- Define the exact approval thresholds for agentic AI. What can the system do autonomously, and what requires a human signature?
- Build the escalation pathways for exceptions and anomalies.
Decision Audit Trails
- Log every AI action where you log human actions.
- Ensure attribution is clear when a regulator asks who authorized a decision.
Each layer reinforces the next, from protected data to defensible decisions.
What changes when guardrails are in place.
Risk Reduction
Stop shadow AI, data leaks, and unauthorized agent actions.
Regulatory Alignment
Directly addresses the controls required for KEBS KS 3007:2025 and international standards.
Operational Confidence
Scale AI adoption without fearing what happens when something goes wrong.
How we work together.
This is a fixed-fee implementation sprint. Typically 4 to 6 weeks, depending on the number of systems and workflows in scope.
- Current state assessment of AI systems and data flows.
- Design of guardrail architecture and approval thresholds.
- Implementation of controls inside your existing stack.
- Documentation and handover to your team.
- Optional ongoing monitoring retainer.
Investment
KES 350,000 fixed fee
Includes assessment, control design, implementation, documentation and team handover. Optional ongoing monitoring from KES 50,000 per month.
Our IP, Your Outcome
When you engage Enterprise AI Africa, you receive:
- A license to use all deliverables created specifically for your organization
- Access to our proprietary frameworks and methodologies during the engagement
Our frameworks, methodologies, and systems remain the intellectual property of Enterprise AI Africa. This ensures we can continue to refine and improve them for all our clients.
Why this matters: you get the outcome. We retain the IP. Everyone wins.
Governance guardrails, explained.
Turn your AI policy into controls your systems can enforce.
Start with a scoped implementation conversation, or benchmark your current governance position in ten questions.
Certified expertise
AI Security & Governance
Credential awarded to Kennedy Maweu
Looking for the strategic layer first? Explore the AI Governance Framework.