|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 187 - Issue 118 |
| Published: June 2026 |
| Authors: Rahul Kumar Thatikonda, Sucharitha Donepudi |
10.5120/ijcada00ee0eb1df
|
Rahul Kumar Thatikonda, Sucharitha Donepudi . Financial Kinetic Stability: Deterministic Agentic Clearing for Order-to-Cash Resilience in Legacy ERP Systems. International Journal of Computer Applications. 187, 118 (June 2026), 7-12. DOI=10.5120/ijcada00ee0eb1df
@article{ 10.5120/ijcada00ee0eb1df,
author = { Rahul Kumar Thatikonda,Sucharitha Donepudi },
title = { Financial Kinetic Stability: Deterministic Agentic Clearing for Order-to-Cash Resilience in Legacy ERP Systems },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 118 },
pages = { 7-12 },
doi = { 10.5120/ijcada00ee0eb1df },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Rahul Kumar Thatikonda
%A Sucharitha Donepudi
%T Financial Kinetic Stability: Deterministic Agentic Clearing for Order-to-Cash Resilience in Legacy ERP Systems%T
%J International Journal of Computer Applications
%V 187
%N 118
%P 7-12
%R 10.5120/ijcada00ee0eb1df
%I Foundation of Computer Science (FCS), NY, USA
Order-to-cash (O2C) delays convert operational disruption into liquidity risk when delivered goods remain tied to unresolved invoices, unmatched remittances, or missing delivery evidence. This paper presents Financial Kinetic Stability, a deterministic agentic architecture for reducing working capital latency in legacy enterprise resource planning (ERP) environments. The proposed Legacy Bridge Architecture (LBA) uses retrieval-augmented generation (RAG) to ground transformer-based reasoning in ERP metadata, shipping logs, bank feeds, customer remittance rules, and policy constraints. A deterministic validation layer then blocks any ledger write unless amount, proof-of-delivery, proof-of-payment, tax, authorization, and audit predicates are satisfied. The Resilient O2C Clearing (ROC) algorithm is evaluated through a reproducible simulation of 50,000 invoices, including 5,000 disrupted cases, for a synthetic Tier-2 aerospace-manufacturing O2C environment. To ensure robustness, the evaluation includes comprehensive parameter sensitivity testing across confidence thresholds. Compared with manual processing, rule-based robotic process automation, and non-grounded LLM baselines, LBA+ROC reduced mean working capital latency from 45.2 to 26.2 days, increased reconciliation accuracy to 99.8%, and lowered median processing time from 240.0 to 1.2 minutes per invoice. The results indicate that autonomous financial clearing is viable only when probabilistic reasoning is constrained by deterministic validation, zerotrust authorization, human escalation, and complete audit evidence.