AI Questionnaire Completion Using Confidence-Guided Secure Queries

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Solution Overview

Problem

Providers of data platforms face challenges in completing unstructured questionnaires due to the time-consuming manual process and the difficulty in collating unstructured data, despite the availability of relevant data, while ensuring data security during the completion process.

Innovation Solution

An automated questionnaire completion capability integrated with data platforms processes unstructured data 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 process is used to complete unstructured questionnaires, then data security can be maintained, but productivity is reduced and time consumption increases

Engineering Contradiction:

Improvequestionnaire completion efficiencyVSAvoidtime to complete questionnaires

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical process of questionnaire completion with an automated AI-based natural language processing system. The system automatically generates structured queries from unstructured questionnaire text, retrieves relevant data from the data platform, and formulates completed questionnaires, 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 automation where the questionnaire completion process serves itself through automated AI processing. The system independently performs data retrieval, analysis, and response generation without requiring manual operation, thereby improving productivity and reducing time loss while maintaining security protocols.

Inventive Principle:

Principle #25Self-service

2Ease of manufacture

If unstructured data is processed manually, then data security is maintained, but the complexity of collating data increases

Engineering Contradiction:

Improveease of data collationVSAvoidcomplexity of data processing system

Core Design Contradiction:

Ease of manufactureVSDevice complexity

Solution Approach 1:

The patent replaces complex manual data collation processes with automated AI-based natural language processing. The system automatically parses unstructured data, identifies relevant information, and structures it for questionnaire completion, significantly easing the complexity of data handling while maintaining security through integrated access control.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an intermediary AI processing layer between the unstructured data and the questionnaire completion process. This intermediary automatically translates unstructured data into structured formats, simplifying the overall system complexity by handling the complex collation task automatically while maintaining security protocols.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If automated processing is implemented, then productivity increases, but data security risks may increase

Engineering Contradiction:

Improvequestionnaire completion efficiencyVSAvoiddata security

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent introduces security intermediaries that mediate between the automated processing system and the data platform. These intermediaries enforce access control policies, audit data access, and ensure that automated processing maintains data security and reliability while achieving high productivity through efficient AI-based questionnaire completion.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback mechanisms that monitor and control the automated processing workflow. Security protocols provide feedback on data access and processing operations, ensuring that productivity gains from automation do not compromise data security or reliability.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12481684B2Automated completion of questionnaires based on unstructured database objects

Publication Date: 2025.11.25 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.