# Your AI moves fast. Your data can’t keep up.

Fintech teams move in sprints. Data teams move in quarters. Fluree closes the gap — connecting your scattered operational data into one knowledge graph where any question gets a verifiable answer in seconds. Portfolio risk. Conversion funnels. Unit economics. Investor diligence. All queryable. All provable. All in real time.

## What Is Fintech Operations AI

### One data layer. Every system connected. AI that can actually be trusted.

Your VP of Product asks why conversion dropped 12% last week. Getting the answer means a data engineer, multiple SQL queries, and two lost days. By then the sprint is over. Origination, underwriting, servicing, payments, CRM, and compliance all live in different systems — cross-system questions have no clean answer, and decisions get made with partial context.

Fluree creates a unified knowledge graph across your entire operational stack. Data stays where it is; Fluree connects to it and creates the semantic layer that gives your data meaning. Anyone — product, ops, finance, compliance, the CEO — can ask questions in plain English and get verified, source-cited answers.

Production-ready in 6 weeks. Not 6 months.

Connect any source.

CSV, API, Postgres, Snowflake, Salesforce — Fluree ingests it as-is. No schema migration. No pipelines to maintain.

Search 300+ sources…AVAILABLE SOURCES
SalesforceApp · OAuth
SnowflakeData lake
PostgresDatabase · replica
customers.csvCSV · 1.24M rows
1.24M rows staged
streaming to Fluree · CONNECTED

The graph builds itself.

Entities resolve, duplicates merge, and relationships infer in place — no modeling marathon, no manual ontology.

CustomerOrderProductContractOwner

Answers, with receipts.

Ask in plain language. Every answer traces back to the exact row it came from — for humans, agents, and apps alike.

NLMCPRESTSPARQL
Top accounts at risk this quarter?SPARQL · GENERATED
SELECT ?acct ?arr WHERE { ?acct a fin:Account ; fin:risk "high" ; fin:arr ?arr .} ORDER BY DESC(?arr)

ANSWER
3 accounts at elevated risk

- Acme Robotics
- Northwind Co
- Globex Corp
TOTAL EXPOSURE
$1.84M ARR exposed

### Why Fintechs Choose Fluree

#### Six capabilities your BI stack or warehouse can’t give you on its own.

1. **Origination, underwriting, servicing, payments, CRM — connected in weeks**  
   Fluree reads from your existing ops stack through standard APIs. Nothing migrates. Your LOS, servicing platform, payments, CRM, marketing automation, and compliance systems stay where they are — intelligence moves, data doesn’t.
   - API-first, operator-friendly integration
   - Start with the systems that matter most, add as you grow
   - No rip-and-replace, no quarters of ETL work

2. **The same person across marketing, app, underwriting, and servicing**  
   Fluree understands that a CRM lead, an underwriting applicant, and a servicing borrower may be the same entity. Golden records with lineage across every system — so one query spans the entire customer journey.
   - Same person, resolved across every system
   - Golden records with source-level lineage
   - One query spans the full ops journey

3. **Product, ops, finance, compliance — no SQL, no analyst queue**  
   Anyone in the org — product, ops, finance, compliance, the CEO — asks questions in plain English and gets verified, source-cited answers in seconds. Dashboards generate on demand; the data team reviews and promotes the SPARQL to production.
   - Natural-language queries across every system
   - Dashboards generated on demand
   - Data engineers review and promote to BI

4. **95%+ accuracy with full lineage — ready for investors and auditors**  
   Every answer is grounded in verified data relationships with the SPARQL attached and a full lineage trail. The metrics your team shares with the board, investors, or regulators are provable — not generated guesswork.
   - GraphRAG — traversal over declared paths
   - Full SPARQL + source citations under every answer
   - Every metric defensible, every number traceable

5. **Immutable lineage + per-user policies for BSA/AML, SOC 2, and audits**  
   As you grow through state licenses, SOC 2, BSA/AML, and regulator scrutiny, Fluree preserves immutable lineage and data-layer policies for every query. Access is logged with role and timestamp; audit prep shrinks from weeks to days.
   - Every access, query, and change logged
   - Role-based policies enforced at query time
   - Examiners get traceable answers, not spreadsheet archaeology

6. **Most fintechs run production queries inside a month and a half**  
   API-first, operator-friendly deployment. Start with the systems that matter most — conversion, risk, ops — then add sources and use cases without re-architecting. Growing teams scale sources instead of rebuilding the stack.
   - Meaningful queries within 4 weeks, typical
   - Full production deployment in ~6 weeks
   - Add sources incrementally, no re-architecture

| Capability | Traditional<br>SQL, warehouse, or BI | Fluree<br>Semantic ops layer |
| --- | --- | --- |
| Time to answer | Days, if an analyst is free — dashboards only, if built | Seconds — plain-English, across every system |
| Cross-system queries | Manual joins, or pre-built dashboards only | Native — any connected system |
| Ad-hoc questions | New ticket every time | Unlimited — ask anything |
| AI accuracy | N/A, or ~80% ceiling on vector RAG | 95%+ via GraphRAG with lineage |
| Answer provability | Depends on the engineer — dashboards show data | Full SPARQL + source citations under every answer |
| Audit trail | Manual or limited | Immutable, complete — examiner-ready |
| Security model | Application-level | Data-centric, per-user policies in the graph |
| Time to deploy | Months of warehouse + ETL work | 6 weeks |
| Scale with growth | Requires re-architecture, or dashboard sprawl | Add sources and use cases without re-architecture |

### FAQ

#### Can Fluree integrate with our existing systems?

#### How is this different from our current BI tools?

#### How fast can we be in production?

#### Do we need to hire data engineers for this?

#### How does Fluree handle our compliance requirements?

#### What happens when we add new data sources as we grow?

#### Can investors and board members access Fluree directly?

#### How is this different from building our own data warehouse?

Recognized by Gartner