AI Ticket Response System for Correctional Facility Communications

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Solution Overview

Problem

Correctional facilities face challenges in providing adequate support to inmates regarding communication device and media issues due to budget constraints and staffing shortages, leading to inefficiencies in handling and resolving resident support requests.

Innovation Solution

Implementing an artificial intelligence-directed system that uses natural language processing and generation to analyze and respond to support requests from inmates, providing personalized and automated responses through a media and communications terminal or device, which accepts and validates resident identification, determines the weight of words in requests, and selects appropriate response passages based on predefined tags.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional manual support systems are used for inmate communication device issues, then staff can provide personalized assistance, but the system becomes overwhelmed due to high volume of requests and limited staffing

Engineering Contradiction:
Improvesupport request processing capacityVSAvoidmanual support system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system enables self-service through automated ticket creation, classification, and response generation. Inmates can submit support requests through the terminal interface, and the system automatically processes them without requiring manual intervention for routine issues, thereby increasing processing capacity while reducing the complexity burden on staff

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processing with an automated computer-based system. The terminal interface, ticketing system, and processing algorithms substitute for manual staff operations, enabling high-volume request handling while reducing the operational complexity that would otherwise require significant human resources

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If more staff are hired to handle support requests, then service quality improves, but budget constraints prevent adequate staffing increases

Engineering Contradiction:
Improveresident support service qualityVSAvoidstaffing resources
Core Design Contradiction:
Ease of operationVSQuantity of substance

Solution Approach 1:

The automated system performs self-service functions including ticket creation, classification, priority assignment, and response generation. This eliminates the need for additional staff to handle routine support requests, maintaining service quality without increasing staffing resources

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system changes the operational parameters by automating the support process. Instead of increasing the quantity of staff, the system transforms the support delivery mechanism into an automated process that maintains service quality through algorithmic processing and intelligent ticket management

Inventive Principle:
Principle #35Parameter changes

3Reliability

If manual ticket processing is used, then detailed attention can be given to each request, but processing time increases significantly

Engineering Contradiction:
Improvesupport response accuracyVSAvoidticket processing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual ticket processing with automated computer-based processing. The system uses algorithms to classify, prioritize, and route tickets, providing detailed attention to each request while significantly reducing processing time through automated decision-making and rapid response generation

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Productivity

If automated response systems are implemented, then processing speed increases, but the system may lack personalization

Engineering Contradiction:
Improveresponse generation speedVSAvoidresponse personalization capability
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The system incorporates feedback mechanisms where inmate information, ticket history, and communication patterns are used to personalize responses. The automated system learns from feedback and adjusts its responses to maintain personalization while achieving high processing speeds through automation

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system changes the personalization parameters by using automated algorithms that analyze inmate data and generate personalized responses. Instead of manual personalization, the system uses computational methods to adapt responses to individual inmate needs, maintaining both speed and personalization capability

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12073184B1Artificial intelligence directed controlled-environment facility resident support ticket response and/or action
Publication Date: 2024.08.27 SECURUS TECH LLC
  • US12073184B1 patent drawing
  • US12073184B1 patent drawing
  • US12073184B1 patent drawing

AI summary

Artificial intelligence directed controlled-environment facility resident support ticket response and/or action may provide access to a controlled-environment facility media and/or communications terminal or device support application program via one or more controlled-environment facility media and/or communications terminals and/or a plurality of personal controlled-environment facility resident media and/or communications devices, which accept input of a support request, via the support application program, from a controlled-environment facility resident. A controlled-environment facility media and/or communications device services platform receives the request, determines an assigned weight of words in the request and selects one or more passages of predefined response text to compose a response to the request, based on a determined weight of words in the request and tags associated with these words and the passage(s) of predefined text. The platform personalizes the response, based on identification of the resident, and sends the resulting personalized response to the respective terminal or device.