3rd World Congress on Smart Computing
(WCSC2026)

Organized by  

Soft Computing Research Society

in Association with 

International Auditors for Digital and Data Management Association, Bangkok Thailand

Venue

Novotel Bangkok on Siam Square, Bangkok, Thailand

January 10-11, 2026 

The after-conference proceeding of the WCSC 2026 will be published in Springer Book Series, ‘Lecture Notes in Networks and Systems’.

kalpesh Rathod

Trustworthy AI in High-Stakes Enterprise Workflows & Automation.

Abstract:

AI is rapidly moving from experimentation to production across enterprise systems—yet high-stakes workflows demand more than accuracy.From Document Intelligence to Audit-Ready Automation processes where decisions impact compliance, legal exposure, and financial outcomes, AI must be measurable, traceable, and governable. This keynote presents a practical blueprint for deploying trustworthy AI in real workflows, using document intelligence as the most common entry point: extraction, confidence scoring, validation, human-in-the-loop review, and safe fallbacks. It also highlights what makes AI “audit-ready,” including evidence logging (inputs/outputs/decisions), versioning of models and prompts/configurations, and exception handling that supports accountability. A brief industry example—AI-assisted patent drafting—illustrates how AI can accelerate work while humans retain responsibility for defining the inventive concept, verifying support, and ensuring quality. Attendees will leave with an actionable 30/60/90-day roadmap to ship AI systems that scale reliably and withstand governance and audit expectations.

Profile:

Kalpesh Rathod is a Director of Engineering and technology leader specializing in building enterprise Legal IP SaaS platforms and automating high-stakes workflows using cloud, data, and AI. He has over 15+ years of experience leading engineering teams across modern architectures, including workflow automation, document intelligence, scalable cloud systems, and governance-ready delivery practices. Kalpesh is a core contributor at Lecorpio LLC (an Anaqua company), where he has led critical initiatives that support global IP operations through automation, reliability engineering, and intelligent systems design. He is also a named inventor on a U.S. patent application focused on best-practice-based budgeting systems, reflecting his interest in applying data-driven methods to complex enterprise decision-making. Kalpesh writes and speaks about practical, production-grade AI—especially how organizations can deploy intelligent systems with confidence scoring, human-in-the-loop validation, traceability, and audit-ready evidence. His work bridges engineering execution with real-world requirements around compliance, accountability, and measurable business impact.