RegulationOS

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  RegulationOS

Inspiration

Organizations around the world struggle to keep up with complex regulatory requirements. Industries such as shipping, transportation, energy, and finance must constantly interpret lengthy regulations and ensure operational compliance.

This process is slow, expensive, and error-prone.

We were inspired to build RegulationOS, an AI system that transforms regulations into actionable intelligence and automated compliance workflows.

What it does

RegulationOS is an agentic AI platform that reads regulatory documents, analyzes operational data, detects compliance risks, and generates action plans.

Users upload regulatory documents and operational data such as cargo manifests. The system extracts obligations, compares them against operations, identifies risks, and generates a compliance report.

The platform also provides a conversational interface that allows operators to ask questions such as:

“Are these shipments compliant?”

How we built it

The platform uses a multi-agent architecture powered by Amazon Nova foundation models.

Key components include:

Regulation Agent for extracting obligations from regulatory documents

Cargo Agent for analyzing operational shipping data

Risk Agent for detecting compliance issues

Workflow Agent for generating action plans and automation suggestions

Amazon Nova reasoning models power regulatory interpretation, while Nova multimodal embeddings enable document understanding and retrieval.

Challenges we ran into

Regulatory language is complex and highly contextual.

Mapping abstract legal requirements to real operational data required designing a multi-agent architecture that could break down the reasoning process into specialized tasks.

We also focused on building a system that could demonstrate real-world compliance analysis in a short hackathon timeframe.

Accomplishments that we're proud of

We built a working prototype that can:

interpret regulatory documents

analyze operational shipping data

detect compliance risks

generate actionable compliance plans

All within seconds.

This demonstrates how agentic AI systems can significantly reduce the cost and complexity of regulatory compliance.

What we learned

This project reinforced that large language models combined with agent orchestration can transform industries that rely heavily on document analysis and compliance workflows.

Regulations contain structured knowledge, and AI systems can convert that knowledge into operational intelligence.

What's next for RegulationOS

Our next step is to expand RegulationOS into a full regulatory intelligence platform for global industries including logistics, energy, and workplace compliance.

Future capabilities include:

continuous compliance monitoring

automated regulatory updates

enterprise workflow automation

cross-industry compliance intelligence.

Built With

• amazon
• fastapi
• nova
• python