System

A system comprising:

• circuitry configured to:
• acquire, via a communication interface coupled to a packet-switched network, past information including historical consultation records and past work history data from a storage device, and provide the past information as input data to a generative neural network model comprising a transformer-based architecture together with a first prompt sentence that instructs the generative neural network model to summarize the past information and generate consultation content;
• perform language analysis processing including tokenization and named entity detection on the generated consultation content, apply rule-based determination processing based on predetermined evaluation criteria including required term conditions and complexity threshold conditions, and generate a determination result indicating whether use of an information technology configuration is permitted;
• in response to the determination result indicating that the information technology configuration is permitted, control an optical character recognition engine to perform image preprocessing including binarization and skew correction on document image data and to extract character string data, and execute data extraction processing including regular expression pattern matching to obtain configuration items including connection destination information and authentication information from the character string data;
• model the configuration items as nodes in a directed acyclic graph with edges representing dependency relations, perform a topological sort on the directed acyclic graph to derive setting sequence information, generate a prompt sentence that specifies a stepwise procedure based on the setting sequence information, and provide the prompt sentence to the generative neural network model to generate guidance text;
• and
• transmit, via the communication interface, the guidance text as a notification data packet to a terminal device, receive setting values from the terminal device, and verify the setting values by comparing the setting values with the configuration items.

A method comprising:

• acquiring, via a communication interface coupled to a packet-switched network, past information stored in a storage device, and providing the past information as input data to a generative neural network model together with a first prompt sentence that instructs the generative neural network model to analyze the input data and generate consultation content;
• performing language analysis processing and rule-based determination processing on the generated consultation content based on predetermined evaluation criteria, generating a second prompt sentence that specifies evaluation items used in the predetermined evaluation criteria, and providing the second prompt sentence to the generative neural network model to generate a determination result indicating whether use of an information technology configuration is permitted;
• in response to the determination result indicating that the information technology configuration is permitted, controlling a character recognition mechanism to perform character recognition processing on document image data to extract character string data including setting information, and executing data extraction processing on the character string data to obtain configuration items including connection destination information and authentication information;
• generating setting sequence information by determining a priority and a dependency of each configuration item, generating a third prompt sentence that specifies a stepwise procedure based on the setting sequence information and the configuration items, and providing the third prompt sentence to the generative neural network model to generate guidance text describing the stepwise procedure;
• and
• transmitting, via the communication interface, the guidance text as a notification data packet to a terminal device for presentation to a user.