AI that tracks regulatory change and closes compliance gaps
Regulatory teams do not struggle for lack of regulations. They struggle with the volume of change. The MOZN AI Platform continuously identifies regulatory change, assesses the impact on your organization, and drives the remediation.
The difference between AI that ships and AI that stalls at legal.
The problem is not the rules. It is the rate of change.
Teams monitor multiple regulators and sources manually, and determining which changes are relevant consumes the time that should instead go to acting on them.
Monitoring is manual
Teams track multiple regulators and sources manually, and deciding which changes are relevant to the organization is a slow process.
Obligations do not map to controls
Regulatory requirements are difficult to tie to existing policies and controls, so gaps often become visible only during audit.
Remediation scatters
Once a gap is found, the work to close it is spread across teams and systems with no single view of whether it actually got done.
Change assessed against your own controls, with the evidence attached.
The platform reads regulatory change and interprets it using your own policies, controls, processes and risk context. Every recommendation traces back to the regulatory source and the organizational evidence behind it.
Generic regulatory feeds
MOZN AI platform
Traceable by design, because compliance work demands it.
Every recommendation can be tied back to the regulatory source and to the organizational evidence that supports it. Without that chain, no compliance officer will act on an AI output, and rightly so.
The platform brings AI. Our engineers are how it fits you.
MOZN delivers a governed enterprise AI platform, configured for your organization by senior engineers who work inside your environment, alongside your teams. Value is proven on your top priority use case first, then scales by priority. What you keep is a sovereign capability, not a project.
What the solution actually contains.
Select a use case to see what it does and the capabilities behind it.
Regulatory Change Monitoring
What changed, and does it apply to us.
Regulatory teams currently monitor changing regulations and assess their implications manually across multiple regulators and sources.
The platform monitors continuously and assesses relevance against your own operating context, so the queue that reaches a person is the queue that matters.
Compliance Gap & Remediation Automation
From obligation to control to the work that closes the gap.
Teams manually map regulatory obligations against internal controls and chase the remediation across functions. The platform enables you to maintain that mapping and identifies where the gaps are.
It then moves from passive intelligence to generating, assigning and tracking remediation actions, with human oversight at each step.
Built for the teams that answer to the regulator.
Early demand from regulated institutions and regulators themselves.
This solution responds to strong demand from regulated institutions and from regulators themselves. Those are active discussions rather than delivered engagements, and we say so plainly.
The underlying capability is not new. Document intelligence, semantic search and knowledge graphs are proven in MOZN's government and financial services work.
Enterprises where regulatory changes are fast and extensive.
Built for banking and financial services, government, and other high assurance industries. Also, relevant to regulators themselves who need to see how their own requirements land.
We are not an infrastructure or compute provider.
MOZN delivers the applied governance & MLOps layer that runs on top of whatever infrastructure you provide — your own, HUMAIN, or a hyperscaler.
Put AI into production and keep it in control.
See applied AI governance on your models.