Eliminating Data Silos in Global Finance
Unify fragmented systems, enforce policy at the data layer, and give analysts AI they can actually trust in regulated environments.
The Challenge
01 Fragmentation
Customer, risk, trade, and reporting data sit across disconnected systems with no shared context.
02 Compliance complexity
Every workflow requires reconciling evidence, lineage, and controls across teams and vendors.
03 Hallucination risk
Vector-only AI can miss hidden entity relationships and create unacceptable exposure in regulated decisions.
What You Can Build
01 Use case 01: Anti-money laundering
Reveal hidden relationships
Connect entities, transactions, counterparties, and alerts to expose suspicious behavior faster than siloed rule systems.
- 3x faster investigations
- Deeper graph-link analysis
02 Use case 02: Customer 360
See full exposure instantly
Create one governed view of clients, accounts, holdings, interactions, and risk posture for advisors and operations teams.
- Unified across 14 systems
- One customer graph
03 Use case 03: Regulatory reporting
Automate evidence trails
Generate reporting workflows with connected source lineage so teams can prove where every metric and conclusion came from.
- Audit-ready lineage
- Lower reporting friction
04 Use case 04: Risk assessment
Connect signals before they compound
Blend market, behavioral, compliance, and third-party signals into a shared graph for faster enterprise-wide risk visibility.
- Earlier signal detection
- Shared risk context
Live workflow
Risk assessment
- Portfolio exposure overlays
- Third-party watchlist enrichment
- Role-based executive view
"Fluree gave our analysts something most AI tools still don’t: answers tied directly to governed data relationships we can defend."
— Data executive, Fortune 500 financial services
How It Works
01 Connect
Bring in core systems, event streams, and files without forcing teams into a new stack.
02 Unify
Model relationships automatically so teams can trace how entities connect across systems.
03 Deploy
Power copilots, analyst workflows, and governed AI on top of trusted graph context.
- Works alongside Jack Henry
- Works alongside Fiserv
- Works alongside Snowflake
- Works alongside Databricks
Customer Story
A global bank replaced siloed investigation workflows with a unified knowledge graph
By connecting customer, transaction, and compliance systems into one governed graph, the team reduced manual reconciliation and improved investigator confidence across suspicious activity reviews.
- 80% faster review cycles
- Fewer false positives
- Shared analyst + AI context
See How Financial Institutions Are Using Fluree
Explore a governed AI architecture for risk, compliance, and relationship intelligence without rebuilding your entire stack.