UNDERSTAND
Interpret complex financial documents and turn them into trusted data.
AUTOMATE
Match, code, allocate, and recommend with full financial context.
PROTECT
Detect fraud, escalate risks, investigate and resolve before payment.
Gain financial control. Turn AI into accountable financial operations
AI chatbots handle tasks. Yooz automates financial processes from end to end
Today, anyone can open a public AI chatbot like ChatGPT and ask it to read an invoice or summarize a document. That’s useful. But finance teams aren’t measured on how much AI they use. They’re measured on whether the work is accurate, controlled, visible, compliant, complete, and on time.
A chatbot answers a question. It doesn’t run a process. Trusted Financial Automation connects AI to the workflows, permissions, approvals, ERP integrations, exception handling, and audit trails that finance runs on.
The distinction:
A chatbot can read an invoice. It can’t route it, match it, get it approved, check it for fraud, or post it to your ERP. Yooz does all of it, with every step visible and accountable.
What is trusted financial automation?
Trusted financial automation is document- or data-driven finance processes that use intelligence to move work forward while preserving the controls, explainability, and accountability required to protect the organization.
VISIBLE
Finance can see what is pending, blocked, exceptional, or at risk before the transaction reaches the ERP.
CONTROLLED
Permissions, confidence thresholds, approvals, and segregation of duties remain part of the process.
AUDITABLE
Recommendations, corrections, workflow actions, and decisions remain reviewable and traceable
CONNECTED
Validated financial information moves into the ERP and downstream systems without weakening system-of-record integrity.
EXCEPTION-READY
Predictable work is automated while unusual, low-confidence, or high-risk activity is routed for review.
ACCOUNTABLE
People retain authority where policy, materiality, or risk requires judgment.
Trusted financial automation combines intelligence, control, and trust across the complete financial process
Yooz = Intelligence + Control + Trust
The value of financial automation does not come from an AI model alone. It comes from how intelligence is applied, controlled, and made trustworthy inside real finance operations.
INTELLIGENCE
Multiple AI approaches understand documents, identify patterns, support matching and allocations, surface potential fraud, and simplify access to information.
CONTROL
Permissions, confidence thresholds, approvals, exceptions, workflow rules, and ERP connections govern how work moves forward.
TRUST
Users see where AI contributes, review recommendations and evidence, correct results, and retain authority where risk requires it.
AI chatbot capabilities are common. Trusted financial automation is not.
The right intelligence for each finance problem
Yooz does not force every financial challenge through one generic AI model. Different problems require different forms of intelligence, applied within the controls appropriate to the task.
| Financial problem | Yooz AI capability | Customer outcome |
|---|---|---|
| Understanding documents | Yooz Smart Data Extraction & Yooz Smart Split | Trusted, structured financial data with ability to add custom data points |
| Matching transactions | Line-Level PO Matching | Less manual comparison and faster exception review |
| Coding and allocations | Agentic AI Allocation | Reduced repetitive coding with confidence-based control |
| Reconciling supplier activity | Yooz Vendor Statements | Faster discrepancy identification and reconciliation |
| Detecting document risk | YoozProtect / Smart Fake Detection | Earlier warning of potentially altered or suspicious documents |
| Investigating fraud | GenAI Fraud Intelligence | More context and faster investigation before payment |
| Accessing information | AI Assistant | Faster natural-language retrieval of Yooz information |
How Yooz applies AI
Proprietary intelligence combined to generative and agentic AI provides financial-document depth where domain expertise matters. Selected specialized and enterprise-hosted technologies extend defined capabilities where they add value. Governance and control apply throughout.
What trusted financial automation delivers
The business case for AI is not the presence of an AI feature. It is the measurable improvement AI helps create across finance operations.
GREATER AUTOMATION
Reduce repetitive capture, matching, coding, allocation, searching, and review activity.
FASTER PROCESSING
Move predictable work forward and route exceptions to the right person sooner.
BETTER DECISIONS
Apply financial context and validated patterns to recommendations without removing accountability.
STRONGER PROTECTION
Surface suspicious documents, anomalies, discrepancies, and payment-risk indicators earlier.
IMPROVED VISIBILITY
Understand what is pending, delayed, exceptional, or at risk before posting to the ERP.
MORE SCALABLE OPERATIONS
Support growing document volumes and organizational complexity without adding the same level of administrative effort.
Measurement matters
Evaluate AI by outcomes such as manual-touch reduction, match rate, exception rate, approval cycle time, coding consistency, risk indicators surfaced, and automation growth over time.
Built for financial operations, not added after the fact
Yooz has applied AI to document-driven financial operations for decades. The platform combines proprietary finance-specific intelligence, scientific depth, production-scale document experience, and sustained product investment.
20+ Years
Automation experience
300M+
Invoices processed accross the platform
100+
Scientific publications
25%+
Annual revenue reinvested in product
Yooz intelligence has expanded from document understanding and extraction into matching, line-level allocations, fraud detection and explanation, and natural-language information access.
AI designed for finance-grade accountability
This page establishes the Yooz point of view. Buyers who need deeper product or governance detail should be directed to dedicated supporting resources.
MATURE PROPRIETARY AI FOUNDATION
Finance-specific AI, built and refined in-house, reads, classifies, matches and codes financial documents at scale.
SELECTIVE BY DESIGN
Specialized components and enterprise-hosted language models are used only where they add clear value, within defined limits.
FRAUD PROTECTION
A unique combination of document forensics, anomaly detection and AI flags suspicious invoices, and explains why, before payment.
ADAPTS TO YOUR ORGANIZATION
A BPMN 2.0 workflow engine and multi-entity, site, currency, tax and confidentiality rules set what AI can do, just as they do for users.
COMPLIANCE BUILT IN
Every action, approval and correction is traceable and auditable, and Yooz supports local e-invoicing requirements.
PEOPLE REMAIN IN CONTROL
Users review and correct results, approve financial decisions, investigate risk and keep payment authority where required.
Explore AI across the Yooz platform
AI Trust & Governance
Frequently asked questions about Yooz AI
Frequently asked questions about Yooz AI
Yooz applies AI to understand financial documents, support matching and allocations, surface potential fraud, simplify information access, and automate predictable work inside controlled financial workflows.
How is Yooz AI different from OCR?
OCR converts document images into machine-readable text. Yooz extends beyond OCR by classifying documents, extracting structured financial information, supporting matching and coding decisions, identifying risk, and connecting intelligence to approvals, exceptions, ERP integrations, and audit trails.
Does Yooz rely on one AI model?
No. Yooz applies different forms of intelligence to different financial problems rather than forcing every use case through one generic model.
What makes AI trustworthy in financial operations?
Financial AI becomes trustworthy when it operates within defined permissions, confidence thresholds, approvals, exception processes, audit trails, and human accountability.
Does Yooz use generative AI?
Yes. Yooz uses generative-AI capabilities for defined use cases such as natural-language information access and explanatory fraud analysis, while core document and finance automation also use proprietary and domain-specific technologies.
Can AI replace an AP automation platform?
General-purpose AI can perform individual AP tasks. Running AP operations also requires workflow execution, ERP connectivity, permissions, approvals, exception management, auditability, and operational control.