Custom document AI analysis
Introduction
Custom document AI analysis is a feature that enables you to automate and streamline the validation of document data against reference data. By leveraging AI, users can define specific validation criteria in a prompt, ensuring that extracted document data aligns with the reference data associated with an entity (such as a company or an individual) within a case. This feature enhances efficiency in document verification by also allowing automatic approval or rejection based on chosen settings.
How to use it
- Configuring a Prompt
- Define the validation criteria in a prompt.
- The prompt should specify the key elements to be checked, such as name consistency, date accuracy, or other relevant data points.
- Setting Auto-Approval or Auto-Rejection
- You can enable automatic approval if all criteria are met.
- Alternatively, automatic rejection can be activated if any criteria fail.
- If auto-approval or auto-rejection is disabled, manual reviews will be required on the document check.
- Testing the Prompt
- Users can test their prompt by uploading a sample document for analysis.
- Select an entity in the case to serve as the test reference data.
- The validation process checks if the extracted data meets the conditions specified in the prompt, in comparison with the reference data of the selected entity within the case.
- Review the validation results to fine-tune the prompt as needed.
By implementing Custom Document AI Analysis, users can reduce manual effort and improve decision-making efficiency.
Few examples of prompts
| Example of custom document | Example of prompt |
|---|---|
| Power of attorney | - Validate that this is a valid power of attorney. Giving the power from this context individual to the context signatory to open an account for the context company. Containing a signature or mention related to a signature. |
| Business Agreement with Liquidity Partners | - Verify that this document is an agreement with a liquidity provider. |
| Corporate / Group Structure Chart | - Verify that this document is a corporate / group structure chart, that it is not older than 6 months and that it has been signed by a director of the entity |
| Proof of Business Evidence | - Verify that this document is an example of agreements with customers and/or partners showcasing the scope of services |
Most frequently asked questions
Who are your LLM providers?
➡️ Dotfile partners with OpenAI and Mistral AI. Customers can choose their preferred provider.Where is/are the data/documents stored depending on the provider?
➡️ Documents are exclusively stored in AWS/s3 (EU) regardless of the chosen LLM provider.Are the files uploaded used for training the model?
➡️ Documents undergo OCR processing by AWS text-extract, but they are never stored by this service. The extracted raw text is then sent to the LLM provider via API for processing, but no data is retained there. Thus, uploaded data is never utilized for training any models.
Updated 23 days ago