Abstract
Project planning is a critical event for overall success of a project. Project planning in business technology projects is a multidisciplinary activity. Many times, project planning overlooks interdependencies and fails to utilize the historical knowledge and best practices, resulting in re-work. To address this gap, an AI expert system was designed that can facilitate flawless intake and planning. This system ensures work “starts right” by enforcing the entry criteria and allows tailoring of the project plan based on project type and complexity. This technology system is built using a rules-based design engine and optimized search algorithm that covers multiple domains like software engineering, regulations and risk management, and computer system validation. This system aligns very closely with the software development best practices of industry standards such as CMMi and GAMP. This system also seamlessly interfaces with project management systems to enable stage gate reviews and track project outcomes at the later stages of execution and project close out.
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Authors recognize the effort and help of other co-workers and partners who helped in this work at different points of time and during the execution of this project.
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Bhattacharya, K., Gangopadhyay, S., DeBrule, C. (2021). Design of an Expert System for Decision Making in Complex Regulatory and Technology Implementation Projects. In: Chakrabarti, A., Poovaiah, R., Bokil, P., Kant, V. (eds) Design for Tomorrow—Volume 3. Smart Innovation, Systems and Technologies, vol 223. Springer, Singapore. https://doi.org/10.1007/978-981-16-0084-5_50
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DOI: https://doi.org/10.1007/978-981-16-0084-5_50
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