Use case.

Compliance management AI-assistant.

From real-time compliance queries, automated checks, and timely regulatory updates to efficient documentation and reporting, our compliance assistant facilitates a robust compliance framework.

What are the key compliance requirements for our upcoming project on customer data management?

Copilothelps to specify your intents.

Model used

Filter on Topic

For the upcoming project on customer data management, ensure adherence to data privacy laws, implement cybersecurity measures, manage customer consent, minimize data collection, adhere to data retention policies, implement access controls, employ encryption, maintain audit trails, train team members on compliance, and verify third-party vendor compliance. Consult with legal and compliance teams for detailed guidance.

LLM:

Filters:

Make compliance simple

Real-Time Compliance Support

Improved Audit Readiness

Better cost effectiveness

What you previously had to do.

Manual Data Collection and Analysis: Compliance personnel spend a substantial amount of time gathering data from various sources manually. They analyze this data to identify compliance issues, which is time-consuming and potentially error-prone.
Reactive Compliance Management: Without real-time insights, compliance management becomes a reactive process. Issues are often identified after they occur, and corrective actions might be delayed, increasing the risk of non-compliance penalties.

What this task now looks like.

Automated Data Collection and Analysis: The AI assistant automates the data collection and analysis process, identifying potential compliance issues quickly and accurately. This reduces the manual workload and allows for real-time insight into compliance status.
Proactive Compliance Management: With real-time insights provided by the AI assistant, compliance management becomes a more proactive process. Potential issues can be identified and addressed before they escalate, reducing the risk of non-compliance and aiding in a more effective compliance program.

You can choose from various LLMs.

For this use case, we recommend Azure GPT-3.5.

From real-time compliance queries, automated checks, and timely regulatory updates to efficient documentation and reporting, our compliance assistant facilitates a robust compliance framework.

OpenAI

You can integrate the famous ChatGPT-model from OpenAI as an API.

Microsoft Azure

Host OpenAI's ChatGPT-model on Microsoft Azure. Can be hosted in Europe with added security.

HuggingFace

HuggingFace is an AI ecosystem of open-source LLMs, which can be self-hosted on demand.

Mistral

Fast, open-source and secure language models. Facilitated specialisation of models on business use-cases, leveraging private data and usage feedback.

Train from different data sources.

Data examples.

You can train your Generative AI assistant from different data sources. Here are some examples.

Regulatory Texts and Guidelines

Texts of laws, regulations, and guidelines from relevant regulatory bodies that the organization needs to comply with.

Internal Policies and Procedures

Documents outlining the organization's internal compliance policies, procedures, and standards.

Compliance Checklists and Assessments

This might also be relevant for you.

Further resources

We have collected a list of resources that might be helpful for you to learn more about this use case.

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