Digital Governance Tool Lifecycle Management
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Solution Overview
Problem
Existing digital automation systems are error-prone, time-consuming, and resource-intensive to configure and manage, especially when dealing with large numbers of autonomous digital automations across organizations, due to the lack of systematic approaches for development, deployment, and lifecycle management.
Innovation Solution
The Digital Governance Tool (DiGT) provides a systematic framework for managing digital automations, enabling efficient development, configuration, deployment, and maintenance by classifying automations into types, specifying lifecycle workflows, and using workflow components to ensure proper management and policy enforcement, accommodating various types of digital automations such as RPAs and RDAs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digital automations are deployed autonomously across enterprise without systematic governance, then automation coverage and productivity increase, but error rates and management complexity increase
Solution Approach 1:
The governance tool enforces preliminary actions by requiring completion of specific workflow components (such as approval processes, security checks, and configuration validations) before digital automations can be deployed. This ensures that necessary governance steps are taken in advance, preventing errors while maintaining automation deployment capability
Solution Approach 2:
The governance tool acts as an intermediary layer between automation developers and the deployment environment. It mediates the deployment process by intercepting automations, validating them against governance policies, and either approving or blocking deployment based on compliance with established rules, thus reducing error rates without hindering productivity
2Adaptability or versatility
If manual configuration and deployment processes are used for digital automations, then flexibility and adaptability are maintained, but time consumption and resource usage increase
Solution Approach 1:
The governance tool segments the deployment process into distinct, manageable workflow components (such as validation, approval, security checking, and deployment steps). Each component can be independently configured and executed, allowing flexible adaptation to different automation types while streamlining the overall process to reduce time consumption
Solution Approach 2:
The governance tool provides a universal framework that can handle multiple types of digital automations (RPA, RDA, AI-based automations) through a common set of workflow components and governance policies. This multi-functional approach maintains adaptability across different automation scenarios while reducing repetitive manual configuration time
3Reliability
If comprehensive governance and workflow enforcement are implemented, then management control and reliability improve, but system complexity and resource requirements increase
Solution Approach 1:
The governance tool implements dynamic workflow components that can be configured and adjusted based on the specific type of digital automation being deployed. Rather than enforcing a rigid, one-size-fits-all governance structure, the system adapts its governance requirements dynamically to match the automation context, maintaining control while reducing unnecessary complexity
Solution Approach 2:
The governance tool enables self-service capabilities where the system automatically performs validation, checks compliance, and enforces governance policies without requiring extensive manual intervention. This automation of governance functions improves management control while reducing the operational complexity and resource requirements for maintaining the governance system
Data Source
AI summary
A system and method are described that receive from a client device a request for information associated with a digital automation. An automation type associated with the digital automation is determined, and based on the automation type, a workflow is retrieved. The workflow manages a lifecycle of the digital automation. One or more workflow components associated with the workflow are retrieved, and a user interface based on the workflow and the workflow components is generated. The user interface includes information associated with the digital automation. The user interface is provided to the client device in response to the request.