AI for Finance & Accounting

Invoice entry is repetitive and bank reconciliation ties up skilled resources

Free discovery call — 45 min

AI automates invoice reading, entry categorization, and financial data queries — your team retains full control over validation. INYSTER integrates with your existing accounting tools (Sage, Cegid, Pennylane, QuickBooks).

Repetitive invoice entry

50 invoices per week entered line by line, prone to errors

Time-consuming bank reconciliation

Skilled resources tied up on low-value tasks

Manual and late reporting

Financial data analysis remains manual and takes days

Solution 1

Automatic invoice extraction

The AI reads your invoices — PDF, scan, photo — and extracts: supplier, number, line items, VAT, total amount. Pre-filled in your accounting tool.

-60% data entry time
Solution 2

Automatic entry categorization

The AI learns your accounting patterns and automatically suggests the account, cost center, and analytics for each transaction.

90%+ categorization accuracy
Solution 3

Financial analysis assistant

Ask questions about your data in plain language. The AI queries your data and generates a response with charts. No advanced Excel skills needed.

Self-service financial reporting

Supplier payment term analysis

Automatic extraction of payment terms and projection of their cash flow impact. Rolling 3-month cash flow forecasting.

Cash flow visibility improved by 3 weeks

Intelligent expense report categorization

AI categorizes expenses and checks compliance with internal policy. Anomalies are flagged before approval.

Expense processing time cut by 60%

Other use cases

  • Duplicate invoice detection across suppliers
  • VAT recoverability analysis
  • Budget vs. actual variance commentary generation
  • Intercompany reconciliation automation
  • Financial audit preparation document assembly
73% of CFOs plan to invest in AI Source : PwC, 2024
60% reduction in accounting data entry time Source : Accenture, 2024
€5.1B finance AI market in Europe by 2028 Source : Statista, 2024

Can AI really handle the variety of invoice formats we receive?

Yes, Document Intelligence (OCR + LLM) processes any format: PDF, scanned paper, photos, even handwritten notes. Accuracy is typically 95%+ after initial calibration with your data. The system improves over time with corrections.

How does AI categorization compare to manual accounting?

The AI learns from your historical entries and proposes account, cost center, and analytical codes with 90%+ accuracy. Your accountant validates instead of searching — same rigor, less tedium. Ambiguous cases are systematically flagged for human review.

Is the AI compatible with our accounting tool?

We integrate via API with Sage, Cegid, Pennylane, QuickBooks, SAP, and any tool with an API or CSV export. The AI adapts to your chart of accounts and coding conventions. Integration is non-intrusive and requires no changes to your existing system.

What's the realistic ROI for invoice automation?

Typical payback in 4–6 months. A company processing 200 invoices/month saves 15–20 hours/month on data entry alone. At €40/hour fully loaded, that's €7,200–9,600/year in direct savings, plus fewer errors and faster closing.

Is my data secure?

Yes. We deploy on Microsoft Azure, France region. Your data stays in Europe, encrypted at rest and in transit (AES-256). No data is used to train models — this is contractually guaranteed by Microsoft. For health data, Azure is HDS-certifiable.

100% GDPR

Data hosted in France

Security

End-to-end encryption

Dedicated support

Personalized guidance

Let's identify your AI use cases

  • Understand your operational pain points
  • Identify 2-3 high-impact AI use cases
  • Estimate the ROI and associated budget