Use case.

Invoice Recognition.

Leverage advanced AI to reduce manual data entry, increase accuracy in financial processing, and enhance overall operational efficiency. Automate and streamline the processing of invoices for businesses of all sizes by easily extracting key invoice meta data and connecting workflows.

Automate invoice workflows

Significantly reduce the time and cost associated with manual processing

Minimize errors in financial records, leading to more accurate financial reporting

Adapts to varying volumes of invoices, making it perfect for large enterprises

What you previously had to do.

  • Manual Data Entry: Staff manually enter invoice data into accounting systems.

  • Limited Processing Capacity: Human resource constraints limit invoice processing volume.

  • Inconsistent Invoice Handling: Varied employee methods lead to data entry inconsistencies.

What this task now looks like.

  • Automated Data Extraction: Automatically scans and extracts invoice data, reducing manual entry.

  • Increased Processing Efficiency: Handles more invoices quickly, eliminating backlogs.

  • Standardized Processing: Uniform approach to various invoice formats.

You can choose from various LLMs.

For this use case, we recommend Azure GPT-3.5.

Leverage advanced AI to reduce manual data entry, increase accuracy in financial processing, and enhance overall operational efficiency. Automate and streamline the processing of invoices for businesses of all sizes by easily extracting key invoice meta data and connecting workflows.

Train from different data sources.

Data examples.

You can train your Generative AI assistant from different data sources. Here are some examples.

Invoice

Process and extract key information from invoices, whatever their structure and layout

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Further resources

We have collected a list of resources that might be helpful for you to learn more about this use case.

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GenAI in Finance and Banking Webinar
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