Automating B2B Contract Workflows with Artificial Intelligence: Opportunities, Architecture, and Risks

Author(s)	Anand Ganesh
Country	United States
Abstract	Business-to-business (B2B) contracting generates high volumes of repetitive legal and compliance tasks: security questionnaires, contract redlines, vendor due diligence, and frequently asked questions (FAQs) that must be answered con- sistently. Recent advances in natural language processing (NLP) [1], retrieval-augmented generation (RAG), and knowledge-base systems enable new automation paradigms that can dramati- cally reduce time-to-contract, lower operational cost, and allow smaller vendors to scale commercial and security operations. This paper presents an integrated architecture for automating B2B contract-related processes, explores concrete use cases (security questionnaires, knowledge-base driven QA, pre-filling FAQs, and small-company scaling), discusses technical and organizational challenges (privacy, model hallucination, auditability, and gover- nance), and proposes evaluation metrics and a research agenda for practitioners and researchers.
Keywords	Gaming, AI, Automation, Security Question- naires, Artificial Intelligence.
Field	Engineering
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-12-05
DOI	https://doi.org/10.71097/IJSAT.v16.i4.10086
Short DOI	https://doi.org/hbkrgq

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology