AI Questionnaire Completion With Confidence-Guided Secure Querying

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Solution Overview

Problem

Providers of data platforms face challenges in completing unstructured questionnaires due to the time-consuming nature of manually collating data from unstructured or semi-structured sources, despite the data being readily available, and the need to ensure data security during the completion process.

Innovation Solution

An automated questionnaire completion capability integrated with data platforms processes unstructured data files using AI-based processing to generate secure responses, determining a confidence score and applying security functions to ensure data integrity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual collation of data from unstructured sources is used to complete questionnaires, then data security can be maintained, but the process becomes time-consuming and inefficient

Engineering Contradiction:

Improvequestionnaire completion efficiencyVSAvoidtime required for manual data collation

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical data collation with an automated AI-based natural language processing system. The system automatically reads unstructured data files, extracts relevant information, and populates questionnaire fields, eliminating the need for manual intervention while maintaining data security through controlled access mechanisms.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service questionnaire completion by automatically processing unstructured data and generating responses without human intervention. The automated pipeline reads files, extracts information using AI models, and completes questionnaires independently, significantly improving productivity while reducing time loss.

Inventive Principle:

Principle #25Self-service

2Productivity

If automated AI-based processing is used to generate questionnaire responses from unstructured data, then efficiency improves, but data security requirements increase

Engineering Contradiction:

Improveautomated questionnaire processing speedVSAvoiddata security and integrity

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent introduces an intermediary security layer between the AI processing system and the data files. This includes access control mechanisms, authentication protocols, and secure data transmission channels that mediate between the automated processing requirements and security constraints, ensuring both efficiency and data protection.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments the questionnaire completion process into distinct secure modules: data access control, AI processing, and result validation. Each segment has specific security measures applied, allowing automated processing while maintaining reliability through layered security architecture.

Inventive Principle:

Principle #1Segmentation

3Ease of operation

If unstructured data files are processed automatically, then manual effort is reduced, but the complexity of handling various file formats increases

Engineering Contradiction:

Improvemanual effort required for data collationVSAvoidsystem complexity for processing unstructured formats

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent implements a universal AI-based processing engine that can handle multiple unstructured data formats (text files, spreadsheets, databases, documents) through a single system. The natural language processing model is designed to adapt to different formats automatically, reducing manual effort while managing complexity through standardized interfaces.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system creates standardized data representations (copies) of various unstructured formats that the AI model can process uniformly. By converting diverse file types into a common structured format for processing, the system reduces manual intervention while managing complexity through format normalization.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20260044539A1Automated completion of questionnaires based on unstructured database objects

Publication Date: 2026.02.12 SNOWFLAKE INC

AI summary

Questionnaire completion systems and methodologies for a data platform. The data platform receives from a consumer an unstructured questionnaire to be completed based on structured database objects, semi-structured database objects, and unstructured database objects stored on the data platform by a provider. The data platform generates a secured completion of the unstructured questionnaire based on a questionnaire completion model and the unstructured questionnaire. The data platform determines a confidence score for the completion and in response to determining the confidence score does not exceed a threshold value, the data platform generates a structured query based on the unstructured questionnaire and a structured query model, and generates the secured completion based on querying the structured database objects using the structured query. The data platform applies a security function to the secured completion to generate a completion of the unstructured questionnaire and provides the completion to the consumer.