{"version":1,"type":"story","url":"https://digestai.news/story/ai-configured-lending-platforms-could-ease-core-system-changes-analyst","json":"https://digestai.news/story/ai-configured-lending-platforms-could-ease-core-system-changes-analyst.json","markdown":"https://digestai.news/story/ai-configured-lending-platforms-could-ease-core-system-changes-analyst.md","slug":"ai-configured-lending-platforms-could-ease-core-system-changes-analyst","headline":"AI-configured lending platforms could ease core system changes, analysts say","summary":"Banks face long engineering cycles when updating legacy core systems, with changes often taking 12 to 18 months and full core replacements spanning three to five years. The loan‑origination software market is projected to grow at an 11.8% compound annual rate through 2030, according to The Business Research Company, mirroring the broader enterprise software market (Technavio).  \n\nAnalysts suggest deploying an AI‑configured lending platform alongside the core, allowing new credit flows to be built and tested independently before integration. This approach lets banks adjust eligibility criteria, document checklists, approval workflows and reporting schedules without rewriting decades‑old code. A 2026 Grant Thornton AI Impact Survey found only 18% of banking executives fully confident in their AI controls, underscoring the need for careful configuration. The Federal Reserve’s 2026 Report on Employer Firms notes that US small‑business fintech credit applications rose from 17% in 2020 to 29% in 2025, highlighting competitive pressure for faster decisions. Historical failures, such as TSB Bank’s 2018 data‑migration mishap, reinforce the risk of core changes, making the AI‑side‑platform model an attractive way to modernize lending while preserving core stability.","keyPoints":["Loan‑origination software market projected to grow 11.8% CAGR through 2030, matching broader enterprise software growth.","Core system changes take 12‑18 months; full core replacements require three to five years, driving interest in AI‑configured side platforms.","Federal Reserve 2026 report shows US small‑business fintech credit applications rose from 17% in 2020 to 29% in 2025."],"whyItMatters":"Accelerating lending product launches without overhauling legacy cores helps banks retain customers, meet fintech competition, and reduce costly engineering errors.","category":{"slug":"enterprise","name":"Enterprise & Industry","url":"https://digestai.news/category/enterprise"},"entities":{"companies":["TSB Bank","Grant Thornton","The Business Research Company","Technavio","Federal Reserve"],"models":[],"people":[]},"firstPublishedAt":"2026-09-21T10:34:01Z","updatedAt":"2026-09-21T10:34:01Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"Unite.AI","title":"How AI Modernizes Lending Alongside Legacy Banking Systems Without a Teardown","url":"https://unite.ai/ai-lending-platforms-legacy-core-banking","publishedAt":"2026-09-21T10:34:01Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"AI-configured lending platforms could ease core system changes, analysts say\", 21 September 2026, https://digestai.news/story/ai-configured-lending-platforms-could-ease-core-system-changes-analyst","publisher":"Digest AI","title":"AI-configured lending platforms could ease core system changes, analysts say","datePublished":"2026-09-21T10:34:01Z","url":"https://digestai.news/story/ai-configured-lending-platforms-could-ease-core-system-changes-analyst"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}