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AI Financial Intelligence
The Data Layer ThatMakes LLMs Work in Enterprise Finance
Terzo connects contracts, ERP, and transactions into a structured layer — so LLMs reason over real data.
Trusted by the world's largest companies
Problem
LLMs Are Powerful.But They Can't See Your Financial Data.
Large language models can draft emails and summarize documents. But
when it comes to enterprise financial decisions, they're flying blind.
Hallucinated Data
LLMs invent numbers. In finance, a wrong figure isn't a nuisance — it's a liability.
Limited Data Access
Your financial data lives in SAP, Oracle, Workday, and thousands of PDFs — all invisible to LLMs.
Lack of Governance
Without audit trails and access controls, no LLM output is trustworthy enough for finance.
Insight
The Missing Layer Isn't AI. It's Structured Financial Data.
Every enterprise deploying LLMs hits the same wall: the model is capable, but the data isn't ready. Terzo is the layer that changes that.
What is an AI Financial Intelligence Layer
Sits between your financial systems and your LLMs — structuring, governing, and serving data so AI outputs become reliable. Terzo introduces this new layer.
How it works
Turn Raw Financial Data into AI-Ready Intelligence
Terzo connects your financial data to any LLM — turning it into structured, usable intelligence.
Ingest Contracts, ERPs and Transactions
Terzo connects to your existing systems and ingests structured and unstructured financial data, including PDF contracts, invoices, and payment records.
Extract and Normalize Financial Entities
Using purpose-built AI models, Terzo extracts key financial entities from unstructured documents and normalizes them.
Build the Financial Intelligence Graph
Extracted entities are linked across contracts, transactions, and ERP records to create a comprehensive Financial Intelligence Graph.
Serve Context to Any LLM — With Governance
When an LLM needs financial context, Terzo serves the precise, permissioned data it needs. Every response is grounded in real data with full audit trails.
Architecture
Three Layers.One Intelligent Enterprise.
Separates data from AI — so you can swap or upgrade LLMs without rebuilding your data layer.
Use cases
What Happens When LLMs
Can Actually See Your Financial Data
Enterprise ready
Built for EnterprisesThat Can’t Afford AI Mistakes
Compliance
Meet the security standards enterprise finance teams require before putting AI near financial data.
- SOC 2 Type II
- Data Residency
- GDPR Ready
Access Control
Granular permissioning on every data point — so the right people see the right data, nothing more.
- Role-Based Access
- SSO / SAML
- Single-Tenant
Data Governance
Every query, every AI answer, every data point — fully traceable from output back to source.
- Data Lineage
- Full Audit Trails
- Query History
Encryption
Your financial data is protected end to end — at rest, in transit, and everywhere in between.
- GDPR
- Audit Trails
- TLS
- AES-256
Every Enterprise AI Strategy Has the Same Gap. Terzo Fills It.
LLMs are engines. Terzo is the data that makes them work. Turns enterprise AI into a competitive advantage — the infrastructure layer it needs.
Your AI Strategy Needs
a Financial Data Layer
See how Terzo connects your contracts, ERP, and transactions to any LLM.
FAQs
Frequentlyaskedquestions.
Need help? Find what you need.
Terzo works with large language models (LLMs) by transforming contract data, ERP data (SAP, Oracle, Workday), and financial transactions into a structured Financial Intelligence Graph. This graph provides LLMs with accurate, permissioned, enterprise-grade financial context so they can reason and act on real data rather than hallucinate.