DOCUMENT PROCESSING◌ Research

Your Finance Team Spends Significant Time Doing Something AI Is Designed to Handle.

Flowtaris AI extracts, validates, and routes invoices, POs, and contracts — directly into NetSuite, Coupa, SAP, or Workday. GenAI models designed to understand documents, not just read templates.

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High
Extraction Accuracy
performance varies by document type and data quality
Fast
Invoice to ERP Post
designed for significant speed improvement over manual
High
Straight-Through Rate
designed to minimize human touch for standard documents
Significant
Cost Reduction Potential
illustrative — actual results vary by configuration and scope
THE DOCUMENT CHALLENGE

Finance doesn't have a data problem. It has a document problem nobody's solved yet.

The average enterprise finance team processes tens of thousands of documents per year. Every one of those documents traditionally requires a human to read, extract, validate, and key data into an ERP. At scale, that manual effort creates a meaningful liability.

Legacy OCR tools required templates per vendor and broke when formats changed. Flowtaris AI uses GenAI models designed to understand documents contextually — without rigid template configuration.

Hours
of analyst time per week spent on manual document processing that AI is designed to eliminate.
Flowtaris AI benchmark · 200+ enterprise deployments
HOW IT WORKS

From day one to fully operational.

1
STEP 01 — CAPTURE

Every document in. Zero configuration.

Flowtaris connects to your email inbox, vendor portals, EDI feeds, shared drives, and scanning stations. Every document — regardless of format, language, or vendor — is captured automatically and classified in under 2 seconds. No whitelisting vendors. No building templates. No IT project.

PDFs, scanned images, Word documents, structured XML, and handwritten forms are all handled natively.

  • Connects to multiple document sources including email, portals, and shared drives
  • Auto-classifies common document types: invoice, PO, contract, receipt
  • Designed for multilingual document support
  • High-volume processing capability — actual throughput depends on deployment configuration
AI document capture and classification dashboard
HighExtraction Accuracy
FastInvoice to ERP Post
2
STEP 02 — EXTRACT & VALIDATE

Every field extracted. Every value validated. No templates.

The Flowtaris extraction engine uses a fine-tuned LLM to read each document in context — understanding that "Net 30" on a Siemens invoice means something different than "30 days" on a startup vendor's PDF.

Extracted values are confidence-scored, cross-referenced against your vendor master, and validated with configurable business rules. 3-way PO/GR/Invoice matching happens in milliseconds.

  • Extracts key fields per document type with confidence scoring
  • 3-way PO/GR/Invoice matching logic
  • Configurable tolerance rules per vendor or category
  • Exception queue with AI-suggested resolution for mismatches
AI field extraction and 3-way matching validation
HighStraight-Through Rate
SignificantCost Reduction Potential
3
STEP 03 — POST TO ERP

Validated. Posted. Auditable. Automatically.

Approved documents are pushed to your ERP via native APIs — not screen-scraping, not RPA bots. The integration is bidirectional: vendor master data, PO status, and payment terms sync in real time so Flowtaris always works from current data.

Every AI decision is logged with the confidence score, extracted values, and validation outcome — giving your auditors exactly what they need.

  • Native API integrations with NetSuite, Coupa, SAP, Workday, Oracle
  • Full audit trail per document per AI decision
  • Bidirectional vendor master sync
  • ISR revalidation — ERP changes instantly reflected
ERP integration and audit trail dashboard
TECHNICAL ARCHITECTURE

Enterprise-grade from the ground up.

ComponentTechnology
Extraction EngineFine-tuned Gemini 1.5 Pro
Validation LayerRules Engine + LLM Reasoning
ERP ConnectorNative REST + GraphQL APIs
Audit LogImmutable append-only log

Connects to the stack you already run.

No rip-and-replace. No new modules. Flowtaris layers on top of your existing ERP investment.

NetSuite SuiteCloudCoupa Open APIsSAP BTPWorkday Cloud ConnectOracle ERP CloudMuleSoftCelonisMicrosoft Azure AISharePointGoogle Drive
FAQ

The questions your board will ask. Answered.

How does Flowtaris handle invoices from vendors it has never seen before?
Unlike legacy OCR tools that require a template per vendor, Flowtaris uses large language models designed to read invoices contextually — understanding structure, context, and vendor-specific formats. New vendor formats are processed from day one without template configuration. Confidence scoring flags any uncertain extractions for human review.
What is your accuracy rate, and how do you define it?
We design our extraction models for high field-level accuracy across diverse document types, measured as the percentage of extracted field values that match the ground truth. Accuracy varies by document type, format quality, language and vendor complexity. Confidence scores are provided per field, and extractions below configured thresholds are flagged for human review.
What happens when the AI is wrong or uncertain?
Every extracted value carries a confidence score. Fields below your configured threshold are flagged for human review — but with a pre-filled suggestion and the specific reason for the low confidence. The result: reviewers spend 30 seconds on an exception instead of 5 minutes. Over time, your exception rate drops as the model learns your vendor base.
How long does implementation take?
Our implementation timeline is designed to be structured and fast — with production deployment typically achievable within weeks, not months. Week 1 focuses on ERP connectivity and rules configuration; Week 2 on parallel processing and user acceptance testing before cutover. Actual timelines depend on your ERP configuration, data quality, and organizational readiness.
Will Flowtaris work with our existing ERP setup or do we need a new implementation?
Flowtaris connects to your ERP as-is via native APIs. We do not require an ERP upgrade, a new module, or a systems integrator project. Our connector team has certified integrations for NetSuite, Coupa, SAP, and Workday. If you have a custom ERP or a heavily customized instance, we have a REST webhook layer that works with any system that exposes an API.
How does the AI handle multi-entity, multi-currency, and multi-language documents?
Flowtaris natively supports 28 languages, 140+ currencies, and unlimited subsidiary entities within a single deployment. Multi-entity routing is handled by configuring entity matching rules against your vendor master — Flowtaris automatically assigns the correct entity and currency conversion based on vendor, PO, and document metadata.
Is there a risk that the AI will approve fraudulent or duplicate invoices?
No — and this is actually where AI significantly outperforms human review. Flowtaris runs a duplicate detection check (fuzzy matching on amount, vendor, invoice number, and date) on every document. It also applies statistical anomaly detection to flag invoices where the amount, line items, or vendor pattern deviates from historical norms. In production, Flowtaris catches 3.2x more duplicate and suspicious invoices than the average human-reviewed AP process.
What does the audit trail look like for our internal and external auditors?
Every AI decision generates an immutable audit record containing: the raw document, every extracted field value and its confidence score, the validation outcome and rule applied, the approver identity (human or AI), the timestamp, and the ERP transaction reference. Audit packs covering any date range can be generated in under 30 minutes — versus the typical 3-week manual preparation process.

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Flowtaris AICapabilitiesGenAI Document Intelligence