Your core wasn’t built for AI. Your data layer can be.
Community and regional banks are using Fluree to unify siloed data across core, loan, treasury, and ancillary systems — creating an AI-ready foundation that makes bankers smarter without replacing the systems that work. Jack Henry. Fiserv. FIS. Legacy. Whatever your core is, Fluree connects to it. Your data doesn’t move; intelligence does.
What is core banking AI?
Your core banking system was installed before the iPhone existed. The board wants AI insights; your data still lives in silos that don’t talk to each other. Your lenders toggle across four screens and still miss the full customer relationship.
Meanwhile, 44% of new checking accounts go to digital banks and fintechs. You can’t afford a $2–5M, 18-month core replacement. You also can’t afford to wait.
Fluree creates a semantic layer over your existing core, LOS, and ancillary systems — one AI-ready graph in 4–8 weeks, not a rip-and-replace.
Three steps.
Live in 4–8 weeks.
From scattered core / LOS / ancillary systems to cited, defensible answers — without replacing the core.
Connect core + ancillary systems.Jack Henry, Fiserv, FIS, or legacy — Fluree reads through standard APIs. Core stays put, no migration.
Resolve across every system.Customers, accounts, loans, households, and properties resolve to golden records — with lineage on every field.
Ask, answer, defend.Plain-English queries return cited answers. Every insight is examiner-ready — full lineage back to source.
Six capabilities no core vendor
or warehouse gives you on its own.
Jack Henry, Fiserv, FIS, or legacy — Fluree connects, doesn’t replace
Your core banking system stays exactly where it is. Fluree connects through standard APIs and creates a semantic layer across the 4–8 systems most community banks already operate — no rip-and-replace, no 18-month core migration.
- Jack Henry, Fiserv, FIS, and legacy systems supported
- Core, LOS, treasury, docs, and ancillary systems unified
- No data movement — intelligence moves, data stays
Core vendor analytics or warehouse builds vs.
Fluree.
See how a semantic data layer compares across the dimensions that matter most to community and regional banks.
Live at a community bank — 330,000+ customers unified.
Fluree helps us with Master Data Management by getting quality into and out of our information. The more quality we have within our data, the more we can help anticipate the needs of our customers.
The core banking AI playbook.
Webinars, whitepapers, and practitioner articles on building AI-ready data foundations for community and regional banks.
From Defense to Offense — The Data Strategy Shift Redefining Financial Services
Turning data from a compliance cost center into a revenue engine — playbooks from Citi, Deutsche Bank, and Voya Financial.
Watch replay
Why Your Enterprise AI Hallucinates — and the Science Behind Fixing It
The architecture choices that keep generative AI defensible in regulated banking environments.
Read the articleAI-driven customer MDM for banks.
Download one-pager
Improving Master Data Management With Supervised Machine Learning
How ML-assisted matching beats brittle string-rule MDM — and what to look for when you evaluate it.
Read the articleRecognized by Gartner
Gartner, “Cool Vendors in Data Management: GenAI Disrupts Traditional Technologies,” 30 May 2024. GARTNER and COOL VENDORS are registered trademarks of Gartner, Inc. and/or its affiliates and are used herein with permission. Gartner does not endorse any vendor, product or service depicted in its research publications.
The answer isn’t replacing the core. It’s unifying the data above it.
30-minute demo tailored to your bank’s systems. Talk to a banking specialist, not a generic sales rep — see real examples from banks like yours and get direct answers to the questions your team is already asking.
Updated