Introducing Pienso GDI: Generative Document Intelligence

Pienso Engineering

Launching Pienso GDI: Generative Document Intelligence

We have been looking forward to this moment. After less than six weeks of designing, refining, optimizing, and experimenting, we are thrilled to introduce Pienso GDI – Generative Document Intelligence. What’s exciting is that GDI is built on the core components of the Pienso platform and we’ve meticulously attempted to design it to revolutionize the way organizations process large volumes of documents, whether invoices, contracts, or insurance policies. Our goal at the outset was to drastically minimize the need for manual work while dramatically enhancing efficiency and accuracy. By leveraging a society of large language models, Pienso GDI provides businesses with a unique and unprecedented advantage in document processing.

If you have ever had to handle thousands—or even millions—of such documents, you know the trauma all too well. The sheer volume of manual work creates bottlenecks that slow down operations and increase costs. Traditional Intelligent Document Processing (IDP) solutions promise automation but often come with traumas of their own: slow deployment, low accuracy, and high costs associated with configuration and retraining. Many businesses struggle with these inefficiencies and end up relying on costly models that are error prone. But what if you did not have to feed hundreds of training samples into a system just to get a mediocre model in return?

Let us consider a company that generates 50,000 invoices annually. Processing this volume of paperwork manually is labor-intensive and prone to errors. To address this, they invest in an IDP solution that claims to automate invoice data extraction. However, they soon encounter several fundamental flaws that make the system less effective than anticipated. These challenges highlight the common pitfalls of conventional IDP systems and the need for a smarter alternative.

Low Coverage: Models That Work Only for Some Invoices

Most IDP solutions rely on supervised learning, requiring users to manually label thousands of invoices, train the model, and hope it generalizes well. This approach creates inefficiencies and does not always yield the desired results. But the reality is it works for some invoices but struggles with variations. Typically these models fail when encountering a slightly different format that was not included in training data, and the pipeline completely breaks down when a vendor updates their invoice layout, requiring more retraining. This means that most consumers of IDP must constantly update and reconfigure their systems to maintain accuracy. The limitations of this approach lead to wasted time and increased operational costs

Low Accuracy: AI That Is Not Smart Enough

Even when traditional IDP systems get the structure right, the text extraction is often inaccurate. The complexity of different invoice formats leads to frequent misinterpretations. For example, some common issues include addresses appearing in tax ID fields, leading to incorrect financial records, payment amounts misinterpreted as random table entries, causing reconciliation issues. It is uncommon to encounter documents with complex table structures causing complete breakdowns in data extraction. Many a time, misclassification of fields results in costly errors that require manual corrections. These inaccuracies undermine the intended automation benefits of IDP solutions.

Lengthy Implementation Cycles: Slow Time to Value

IDP solutions require months before businesses see results. The implementation process is often tedious and frustrating. The cycle is frustratingly repetitive:

  • Gather thousands of sample documents, which takes significant time and effort.
  • Manually tag key fields, adding further delays and increasing the risk of human error.
  • Train the model (which takes weeks or months) before seeing any tangible benefits.
  • Deploy it—only to find it does not generalize well, leading to more retraining.
  • Start over when a vendor changes their document format, making the process never-ending.

Instead of relying on a single static model, Pienso GDI uses a Society of LLMs—a network of specialized AI models that can adapt dynamically. This innovative approach ensures greater flexibility and accuracy. With Pienso GDI, businesses can extract key fields from any type of invoice without requiring extensive training data. They can also handle poorly formatted documents, scanned documents, and tables inside images with ease. Equally importantly, they can tweak the GDI setup dynamically without months of retraining, reducing implementation timelines, eliminating the frustrations of conventional IDP systems by leveraging cutting-edge AI at scale.

What Makes Pienso GDI Different?

Pienso GDI redefines document intelligence by addressing the limitations of traditional IDP solutions. Our approach focuses on four core benefits:

  • High Coverage – No need to train models for each customer; GDI operates across all invoice formats effortlessly.
  • High Accuracy – Designed to handle tables, OCR, and complex document layouts with precision, minimizing errors.
  • Faster Deployment – Get up and running in weeks, not months, enabling businesses to see immediate results.
  • No Volume-Based Pricing – Use as much as needed without unpredictable costs, ensuring budget stability.

Pienso GDI is not just another AI-powered IDP solution— we really believe that is a groundbreaking innovation. It is designed and built on three key pillars:

  • Sophisticated Prompt Engineering – Successfully leveraging a society of LLMs collaborating with each other to make sense of extracted text with intimate knowledge of invoices and fluency in designing precise prompts.
  • Flow Engineering – Treatment of each field requires multiple loops and checks, ensuring structured processing for high accuracy.
  • Custom Chains – The output is a sophisticated custom chain that is tailored to execute the customer’s specific task in a reliable and accurate way.
  • Evaluation & Deployment – The process includes reviewing sample documents, iteratively engineering the custom chain, and integrating it with enterprise systems for seamless automation.

These elements work together to create a powerful and adaptable document processing solution. Returning to our example of a company processing 50,000 invoices per year, the benefits of Pienso GDI are immediately evident. This AI-powered solution transforms document intelligence by:

  • Accuracy skyrockets – Manual verification is no longer required, reducing human intervention.
  • Processing time drops – Deployment happens in weeks, not months, accelerating business operations.
  • Coverage expands – GDI works across all invoices, not just select formats, ensuring broader usability.
  • Costs stabilize – No unexpected volume-based pricing spikes, making financial planning more predictable.
  • Business efficiency improves – Organizations can focus on growth rather than document processing challenges.


What Is Next?

Pienso GDI is here to transform document intelligence by eliminating inefficiencies and enhancing automation. We have built a solution that scales, handles complex documents, and eliminates the need for constant model retraining. This groundbreaking approach ensures businesses can process documents with unprecedented speed and accuracy. If your business is ready to move beyond the limitations of traditional IDP and into the future of Generative Document Intelligence, we would be happy to demonstrate what Pienso GDI can do. Let us get started.