Abstract
Selecting enterprise automation workflows based on business metrics without analyzing technical feasibility may lead to implementation challenges. Systems and methods can address this issue by ingesting and analyzing unstructured procedural documents, such as standard operating procedures, alongside technical infrastructure data. A scoring engine may compute a quantitative, multi-dimensional readiness score based on various indices including, for example, documentation health, application programming interface maturity, and task determinism. Based on this score, a transformation pathway compiler can route a workflow for deployment, remediation, or deprioritization. For workflows that could benefit from improvement, the system may generate engineering artifacts to guide developers, which provides a data-driven approach to help assess automation suitability and reduce project risks.
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Recommended Citation
Rengarajan, Hariprasad; Prasad, Saagar; Viswanathan, Swetha; Jindal, Rahul; Agrawal, Bhasha; Rock, Sarah; Pabelonio, Marie; and Kaul, Kunal, "Automated Readiness Scoring and Remediation for Enterprise Workflows", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/13000