AI Driven Compliance Document Review and Summarization Workflow

Compliance Document Review and Summarization

1. Document Collection

1.1 Identify Relevant Compliance Documents

Gather all necessary compliance documents, including regulatory filings, clinical trial data, and internal audit reports.

1.2 Centralized Document Repository

Utilize a secure cloud-based platform to store and organize documents for easy access. Example tools: Google Drive, Dropbox, or SharePoint.

2. Document Preprocessing

2.1 Data Cleaning

Remove any irrelevant information or duplicates from the documents. This can be automated using AI tools like Apache OpenNLP.

2.2 Text Formatting

Standardize document formats to ensure consistency. Tools like Adobe Acrobat or Microsoft Word can assist in this process.

3. AI Summarization Implementation

3.1 Selection of AI Summarization Tool

Choose an appropriate AI summarization tool based on the complexity of the documents. Recommended tools include:

• OpenAI’s GPT-3 for generating concise summaries.
• IBM Watson Natural Language Understanding for extracting key insights.
• SummarizeBot for summarizing large volumes of text efficiently.

3.2 Training the AI Model

Customize the AI model using historical compliance documents to improve accuracy and relevance in summarization.

4. Summarization Process

4.1 Initial Summarization

Run the selected AI summarization tool on the preprocessed documents to generate initial summaries.

4.2 Human Review and Validation

Engage compliance specialists to review AI-generated summaries for accuracy and completeness. Utilize collaboration tools like Slack or Microsoft Teams for feedback.

5. Finalization and Distribution

5.1 Final Edits

Incorporate feedback from the human review to finalize the summaries. Ensure all compliance requirements are met.

5.2 Distribution to Stakeholders

Share the finalized summaries with relevant stakeholders, including regulatory bodies and internal teams, through secure email or the centralized document repository.

6. Continuous Improvement

6.1 Feedback Loop

Establish a process for ongoing feedback from users to refine AI summarization outputs.

6.2 Regular Updates of AI Tools

Stay updated with advancements in AI technology and periodically review and update the AI tools used for summarization.