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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18819488 |
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| _version_ | 1866901059318841344 |
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| author | Aggarwal, Neeraj |
| author_facet | Aggarwal, Neeraj |
| contents | <p dir="ltr">Legacy payment systems are stable but costly to modernize. This article outlines how AI can reduce modernization effort by up to 40% through intelligent code analysis, dependency mapping, and risk scoring. A structured 3‑phase model enables zero‑downtime transformation. Banks that adopt AI‑enabled modernization will define the future of payments.</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18819488 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Real Cost of Legacy in Digital Payments — And How AI Can Reduce It by 40% Aggarwal, Neeraj <p dir="ltr">Legacy payment systems are stable but costly to modernize. This article outlines how AI can reduce modernization effort by up to 40% through intelligent code analysis, dependency mapping, and risk scoring. A structured 3‑phase model enables zero‑downtime transformation. Banks that adopt AI‑enabled modernization will define the future of payments.</p> <p> </p> |
| title | The Real Cost of Legacy in Digital Payments — And How AI Can Reduce It by 40% |
| url | https://doi.org/10.5281/zenodo.18819488 |