Systems and methods for using generative artificial intelligence with agile project management

Patent metadata

Field	Value
Publication number	US-2026073316-A1
Application number	US-202418883296-A
Country	US
Kind code	A1
Filing date	Sep 12, 2024
Priority date	Sep 12, 2024
Publication date	Mar 12, 2026
Grant date	—

Abstract

A method for using artificial intelligence (AI) with agile project management (APM) includes accessing an APM user story, a plurality of an AI chatbot prompts, and a plurality of large language model (LLM) parameters. The APM user story includes a user description of a unit of work. The method further includes electronically transmitting, to an AI chatbot across a communications network, the APM user story, the plurality of AI chatbot prompts, and the LLM parameters. The method further includes electronically receiving, across the communications network, an APM AI response generated by the AI chatbot using the APM user story, the plurality of AI chatbot prompts, and the LLM parameters. The method further includes displaying the APM AI response generated by the AI chatbot on an electronic display.

First claim

1 . A system comprising:
one or more memory units configured to store:
a plurality of agile project management (APM) user stories, each APM user story of the plurality of APM user stories comprising a user description of a unit of work;
a plurality of artificial intelligence (AI) chatbot prompts, wherein the plurality of AI chatbot prompts comprises:
one or more instructions for the AI chatbot to assume a specific role;
one or more instructions for the AI chatbot to give specific answers; and
one or more instructions for the AI chatbot to give the specific answers in a specific format; and

a plurality of large language model (LLM) parameters;
one or more computer processors communicatively coupled to the one or more memory units and configured to execute machine-readable instructions, wherein the configuration of the one or more computer processors to execute the machine-readable instructions includes configuration to spawn more than one computer process concurrently, wherein the concurrent more than computer processes are configured to execute the machine-readable instructions to concurrently process data to perform program steps comprising:
access an APM user story of the plurality of APM user stories;
access the plurality of AI chatbot prompts and the plurality of LLM parameters;
electronically transmit, to an AI chatbot across a communications network, the APM user story, the plurality of AI chatbot prompts, and the LLM parameters;
electronically receive, across the communications network, an APM AI response generated by the AI chatbot using the APM user story, the plurality of AI chatbot prompts, and the LLM parameters; and
display the APM AI response generated by the AI chatbot on an electronic display.

2 . The system of claim 1 , wherein:
the plurality of AI chatbot prompts instruct the AI chatbot to perform a review of the APM user story; and the APM AI response is a review analysis that comprises:
a plurality of suggestions for improving the APM user story; and
a rating score that indicates a quality of the APM user story.

3 . The system of claim 1 , wherein:
the plurality of AI chatbot prompts instruct the AI chatbot to perform a rewrite of the APM user story; and the APM AI response is a rewritten APM user story.

4 . The system of claim 3 , the one or more computer processors further configured to:
electronically transmit, to the AI chatbot across the communications network, the rewritten APM story generated by the AI chatbot and additional AI chatbot prompts that instruct the AI chatbot to generate a second APM AI response, the second APM AI response comprising:
a plurality of test cases for the rewritten APM story;
a plurality of testing tips for the rewritten APM story; or
acceptance criteria for the rewritten APM story;
electronically receive, across the communications network, the second APM AI response generated by the AI chatbot using the rewritten APM story; and display the second APM AI response generated by the AI chatbot on the electronic display.

5 . (canceled)

6 . The system of Claim 1 , wherein the plurality of AI chatbot prompts further comprises one or more exclusion criteria for the AI chatbot.

7 . The system of claim 1 , wherein the plurality of LLM parameters comprises:
a temperature setting that controls randomness when the AI chatbot chooses words during text creation; and a top_p setting that controls how many words the AI chatbot considers.

8 . A method by a computing system for using artificial intelligence (AI) with agile project management (APM), the method comprising:
spawning more than one computer process concurrently, wherein the concurrent more than computer processes are configured to execute machine-readable instructions to concurrently process data to perform the steps of the method; accessing an APM user story of a plurality of APM user stories stored in one or more memory units, each APM user story of the plurality of APM user stories comprising a user description of a unit of work; accessing a plurality of artificial intelligence (AI) chatbot prompts stored in the one or more memory units, wherein the plurality of AI chatbot prompts comprises:
one or more instructions for the AI chatbot to assume a specific role;
one or more instructions for the AI chatbot to give specific answers; and
one or more instructions for the AI chatbot to give the specific answers in a specific format;
accessing a plurality of large language model (LLM) parameters stored in the one or more memory units; electronically transmitting, to an AI chatbot across a communications network, the APM user story, the plurality of AI chatbot prompts, and the LLM parameters; electronically receiving, across the communications network, an APM AI response generated by the AI chatbot using the APM user story, the plurality of AI chatbot prompts, and the LLM parameters; and displaying the APM AI response generated by the AI chatbot on an electronic display.

9 . The method of claim 8 , wherein:
the plurality of AI chatbot prompts instruct the AI chatbot to perform a review of the APM user story; and the APM AI response is a review analysis that comprises:
a plurality of suggestions for improving the APM user story; and
a rating score that indicates a quality of the APM user story.

10 . The method of claim 8 , wherein:
the plurality of AI chatbot prompts instruct the AI chatbot to perform a rewrite of the APM user story; and the APM AI response is a rewritten APM user story.

11 . The method of claim 10 further comprising:
electronically transmitting, to the AI chatbot across the communications network, the rewritten APM story generated by the AI chatbot and additional AI chatbot prompts that instruct the AI chatbot to generate a second APM AI response, the second APM AI response comprising:
a plurality of test cases for the rewritten APM story;
a plurality of testing tips for the rewritten APM story; or
acceptance criteria for the rewritten APM story;

electronically receiving, across the communications network, the second APM AI response generated by the AI chatbot using the rewritten APM story; and
displaying the second APM AI response generated by the AI chatbot on the electronic display.

12 . (canceled)

13 . The method of claim 8 , further comprising electronically transmitting, to a client system, an alert about the APM AI response generated by the AI chatbot.

14 . The method of claim 8 , wherein the plurality of LLM parameters comprises:
a temperature setting that controls randomness when the AI chatbot chooses words during text creation; and a top_p setting that controls how many words the AI chatbot considers.

15 . One or more computer-readable non-transitory storage media embodying instructions that, when executed by a processor, cause the processor to perform operations comprising:
spawning more than one computer process concurrently, wherein the concurrent more than computer processes are configured to execute machine-readable instructions to concurrently process data to perform the operations; accessing an APM user story of a plurality of APM user stories stored in one or more memory units, each APM user story of the plurality of APM user stories comprising a user description of a unit of work; accessing a plurality of artificial intelligence (AI) chatbot prompts stored in the one or more memory units, wherein the plurality of AI chatbot prompts comprises:
one or more instructions for the AI chatbot to assume a specific role;
one or more instructions for the AI chatbot to give specific answers; a

Assignees

• Bnsf Railway Co

Inventors

• Gollhofer Phillip J
• Velhal Dinesh A

Classifications

• H04L51/02

  using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages · CPC title

• G06F40/35

  Discourse or dialogue representation · CPC title

• G06F11/3684

  for test design, e.g. generating new test cases · CPC title

• G06N20/00

  Machine learning · CPC title

• G06N3/0475

  Generative networks · CPC title