Our Approach to AI Governance
Effective AI governance requires both periodic baselines and continuous visibility. Traditional frameworks provide the former. Our products enable the latter.
Audits Establish the Baseline
Traditional audits and GRC assessments are essential. They provide point-in-time assurance: on audit day, here's what your controls looked like, here's how your processes performed, here's what was documented.
For deterministic, static systems—systems where behaviour is predictable and change is controlled—this model works well. The baseline established during an audit remains valid until significant changes occur.
Audits are not the problem. They are a critical part of mature governance. The challenge is that AI systems don't behave like deterministic, static systems.
AI Systems Are Non-Deterministic and Continuously Changing
AI systems present unique governance challenges:
Non-Deterministic Behaviour
The same input can produce different outputs. Model behaviour changes without code changes. This makes traditional "test once, trust always" approaches insufficient.
Continuous Change
Providers update models, deprecate versions, change infrastructure, and adjust pricing—often without advance notice. Dependencies shift as teams experiment and iterate.
Dependency Complexity
AI workflows often involve multiple providers, models, and integration points. Understanding what you depend on—and what changes might affect you—requires continuous visibility.
The baseline established during your last audit may no longer reflect reality. This isn't a failure of audits—it's the nature of AI systems.
The Gap Between Audits
Annual or quarterly audits provide snapshots. Between those snapshots, organisations operate with incomplete visibility:
- ·Which AI dependencies are currently active?
- ·Which models or providers are at risk of deprecation?
- ·What changes have occurred since the last audit?
- ·How quickly can we respond to provider outages or breaking changes?
Without answers to these questions, boards and regulators receive outdated assurance. Risk teams cannot assess exposure. Technical leaders cannot prepare for change.
Continuous Assurance Complements Audits
Navitec products are designed to sit between audits, providing continuous visibility and evidence generation:
Audits Establish the Baseline
Point-in-time assessments validate controls, test processes, and establish documented assurance at a moment in time.
Continuous Assurance Maintains the Baseline
Between audits, continuous visibility ensures you know what's changing, what's at risk, and what evidence you can provide when asked.
This isn't audit replacement. It's audit extension. Audits tell you where you were. Our products tell you where you are.
Our Governance Principles
Audit-Complementary, Not Audit-Competitive
We respect the role of traditional audits and GRC frameworks. Our products extend their value by maintaining assurance between assessment cycles.
Evidence-Led Design
Every product capability is designed to generate audit-ready evidence. When compliance asks a question, you have documentation—not just assertions.
Calm, Credible Communication
We avoid hype and exaggeration. Boards and regulators require sober, accurate information. Our products provide it.
Long-Term Stewardship
AI governance is not a one-time project. It's an ongoing commitment. Navitec is structured for long-term product stewardship, not short-term consulting cycles.
Explore Our Products
See how Navitec products provide continuous assurance for AI systems.