Context-Aware Chat Bot Operation for Multi-Team Deployment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Different teams within an organization generate and deploy individually-tailored chat bots, leading to redundant effort and wasteful duplication of resources, as they pose similar questions but require tailored answers specific to their focus.
Innovation Solution
Implementing a context-aware chat bot operation that allows multiple teams to leverage a common bot deployment by selecting a context file from a plurality of context files based on user context, reducing the need for each team to build and deploy their own bot, using a single platform that can interact with multiple messaging platforms and external resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If each team generates and deploys their own individually-tailored chat bots, then the chat bot can provide answers tailored to each team's specific focus, but the development effort and resources are duplicated across teams
Solution Approach 1:
The patent implements a universal chat bot platform that serves multiple teams through a common deployment. The system uses a shared bot framework that can be configured with different context files to adapt to various team-specific requirements, eliminating the need for each team to build their own bot while maintaining tailored functionality through configurable context parameters.
2Productivity
If a common bot deployment is used for multiple teams, then development effort is reduced and duplication is eliminated, but the ability to provide team-specific tailored answers is reduced
Solution Approach 1:
The patent segments the bot configuration into separate context files for different teams, allowing the common bot deployment to load and apply team-specific context parameters. This segmentation enables the single bot to maintain tailored functionality for each team by switching between different context configurations based on the requesting team's identity.
Solution Approach 2:
The system dynamically loads and applies different context files based on the team making the request. The bot's behavior, knowledge base, and response patterns are dynamically adjusted according to the selected team's context, enabling a single static deployment to provide dynamic, team-specific tailored answers without requiring separate bot instances for each team.
3Adaptability or versatility
If each team builds their own bot deployment, then complete customization is achieved, but the complexity of deployment and maintenance increases for each team
Solution Approach 1:
The patent introduces context files as an intermediary layer between the common bot deployment and team-specific requirements. These context files serve as configuration intermediaries that translate team-specific customization needs into parameters that the shared bot can interpret and apply, eliminating the need for teams to directly build and deploy complex bot infrastructure while maintaining full customization capability through configured parameters.
Data Source
AI summary
An improved chat bot operation enables multiple teams to leverage a common bot deployment, rather than requiring each team to build and deploy their own. A context-aware operation identifies a user's context and selects a context file, from among a plurality of context files, to tailor actions and responses. Each team thus has a reduced workload in generating a context file rather than an entire bot deployment. An exemplary method includes: receiving a first chat content from a first chat session; determining a first context for the first chat content; selecting, based at least on the first context, a first context file from a plurality of context files; determining, based at least on the first chat content and the first context file, a first action for the chat bot, wherein determining the first action for the chat bot comprises parsing the first context file; and executing the first action.