Computerweg 22, 3542 DR Utrecht, Nederland

+31 6 11352773
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Accounting Assistant
AI-Powered Finance Operations

Accounting Assistant

An intelligent, document-focused assistant built to accelerate daily finance workflows for SME teams.

Goals

  • Simplify repetitive accounting operations through automation
  • Improve accuracy in document and expense processes
  • Strengthen management visibility with faster reporting

What does it do?

  • Classifies invoices and finance documents into structured workflows
  • Supports expense categorization and basic reconciliation checks
  • Generates summary finance reports and period-based overviews
  • Adds AI-assisted recommendation layers to existing workflows

Benefits

  • Reduces operation time and increases team productivity
  • Helps lower manual entry errors
  • Enables faster and cleaner day-to-day financial tracking
  • Provides a scalable operating model for small teams

Who is it for?

  • SME finance teams
  • Businesses working with accounting firms
  • Operations and management teams
  • Document-heavy organizations

Detailed Features

Smart Document Recognition (OCR+AI)

Automatically scan, classify, and import invoices, receipts, and financial documents into the system.

  • 98%+ accuracy rate
  • Multiple format support (PDF, images, Peppol UBL)
  • Automatic data extraction

Expense Categorization

Automatically categorize your expenses with an AI-powered system and simplify budget tracking.

  • Learning algorithm
  • Customizable categories
  • Anomaly detection

Reconciliation Controls

Automatically match bank statements with accounting records and instantly detect discrepancies.

  • Automatic matching
  • Discrepancy reporting
  • Bulk processing support

Financial Reporting

Generate periodic financial reports with one click and prepare summary views for management.

  • Customizable templates
  • Charts and trend analysis
  • Export options

Use Cases

Turkish Accounting Office

Scenario:

Den Haag-based accounting office with a portfolio of 200+ Turkish entrepreneur clients

Problem:

Invoices are entered manually for many clients, BTW filing periods pile up, error rate is high.

Solution:

OCR-based automatic invoice recognition with Peppol UBL integration and automated categorization.

Outcome:

Processing time decreased by 70%, BTW filing delays dropped to zero.

Restaurant Chain Bookkeeping

Scenario:

Amsterdam-based Turkish restaurant chain with 8 branches and multiple payment channels

Problem:

Daily Z-reports, receipts, and invoices arrive in mixed formats; reconciliation is fully manual.

Solution:

Automatic invoice processing, expense classification, and per-branch dashboards were deployed.

Outcome:

Reconciliation time dropped from 3 days to 2 hours, accounting workload decreased by 60%.

SME Advisory Office

Scenario:

Utrecht-based advisory office serving 50+ Turkish SME clients

Problem:

End-of-period reporting piles up, per-client manual work is heavy, capacity is constrained.

Solution:

AI assistant automated routine tasks and a standardized reporting format was rolled out.

Outcome:

Period close time dropped from 2 weeks to 3 days, client capacity doubled.

Frequently Asked Questions

Portfolio

SaaS Products and Ongoing Work

A snapshot of the products and solution tracks currently in active development.

Contact

Let's plan your project together.

Share your goals and we will prepare a tailored roadmap within 48 hours.

  • Emailinfo@upudev.nl
  • Phone+31 6 11352773
  • AddressComputerweg 22, 3542 DR Utrecht, Nederland
  • KVK98902148
  • IBANNL59INGB0117119474