IEEE P2755.2/D1, Jun 2020
IEEE Draft Recommended Practice for Implementation and Management Methodology for Software Based Intelligent Process Automation (SBIPA)
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About This Item
IEEE P2755.2/D1, Jun 2020 is a draft recommended practice focused on implementation and management methodology for Software Based Intelligent Process Automation (SBIPA) in computing and processing environments. It is relevant for teams planning how software-driven automation should be structured, governed, and maintained across operational workflows. By giving a technical framework for SBIPA, IEEE P2755.2/D1, Jun 2020 can support more consistent deployment choices, clearer control practices, and better alignment between automation goals and day-to-day process management.
IEEE P2755.2/D1, Jun 2020 overview
This draft standard addresses the practical side of applying software-based intelligent process automation, with emphasis on implementation method and ongoing management. In computing and processing contexts, that typically means defining how automation logic is introduced, monitored, updated, and coordinated with existing systems. IEEE P2755.2/D1, Jun 2020 is useful when organizations need a shared technical reference for SBIPA planning, documentation, and operational oversight, especially where repeatability and control are important.
Typical use cases
IEEE P2755.2/D1, Jun 2020 may be used when teams are designing SBIPA workflows for business operations, digital back-office processing, or software-managed task automation. It is also relevant for projects that combine process logic, exception handling, and system integration across computing platforms. Organizations may consult this document when aligning automation procedures with internal governance, evaluating implementation approaches, or comparing management methods for software-based intelligent process automation in controlled environments.
Why this standard matters
For organizations working with SBIPA, a clear methodology can reduce ambiguity in how automation is built and managed. IEEE P2755.2/D1, Jun 2020 helps support consistent implementation decisions, which can improve maintainability, oversight, and process reliability. It may also assist with internal compliance expectations, procurement reviews, and testing plans by providing a common technical baseline. In practice, that can lower risk when automation affects sensitive or repeatable computing and processing tasks.
- Software-based intelligent process automation
- Implementation methodology
- Management and oversight practices
- Computing and processing applications
- Draft recommended practice status
- Publication Date: 2020
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
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