Enterprise Document AI for Accounting Workflows

Fast Accounting is developing enterprise AI products that can understand sensitive business documents used in accounting operations and connect that understanding to real-world accounting workflows. The focus is not simply on using generative AI for document summarization, but on building specialized models that support product-level capabilities such as information extraction, contract review, lease classification, masking, and downstream workflow integration.

Contract Understanding and Specialized SLM Development

A key target area is contract understanding for accounting operations. With the introduction of new lease accounting requirements, companies need to read contracts, identify parties, terms, amounts, assets, and exception clauses, and determine whether each contract should be treated as a lease. This creates a clear product opportunity: an AI system that converts contract documents into structured, evidence-backed outputs that can be used by accounting teams, ERP systems, and workflow tools.

To support this product direction, Fast Accounting is building a specialized small language model, or SLM, for enterprise documents. The decision to use an SLM is highly practical: enterprise document processing requires low latency, predictable cost, stable behavior, and the ability to operate in secure environments. These requirements are especially important when handling contracts and accounting-related documents that may contain confidential business information.

Accelerating Synthetic Data Development with NVIDIA

NVIDIA’s software and hardware stack plays a central role in this development process. Fast Accounting uses NVIDIA Nemotron and NVIDIA NeMo Data Designer to generate and evaluate synthetic training data, while also using NVIDIA Blackwell GPUs across multiple nodes to accelerate model development and experimentation. This infrastructure enables faster iteration across data generation, fine-tuning, evaluation, and validation cycles than would be practical with slower or less scalable environments.

The core technical approach is synthetic-data-driven development. Instead of relying only on real contracts, which are difficult to use due to confidentiality constraints and labeling costs, Fast Accounting designs synthetic datasets that include document text, extracted attributes, judgment labels, evidence spans, and explanations. This allows the team to create training data that is directly aligned with product requirements, such as extracting lease-relevant fields or generating contract reviews that identify business risks and supporting clauses.

Nemotron is used not only to generate contract variations and task responses, but also to evaluate output quality. By separating the generator and judge roles, the team can verify whether the data follows the required schema, whether the evidence supports the judgment, and whether the explanation is consistent. Low-quality samples can then be filtered out or regenerated, improving the reliability of the training pipeline before the data is used for model tuning.

Measurable Results and the Product Roadmap

This approach has already produced measurable improvements in model performance. In evaluation, information extraction improved from 89% to 100%, and for review generation, an LLM-as-a-judge evaluation preferred the fine-tuned model in 98% of cases. These results indicate that NVIDIA-powered synthetic data generation and model tuning can contribute directly to product capabilities, especially in tasks such as extraction, masking, and review generation.

The broader product roadmap is to connect enterprise document understanding to real accounting judgment. Contract data can be read, structured, reviewed, and classified, then passed into accounting-domain-specific LLMs, AI agent infrastructure, ERP systems, or workflow tools. In this sense, NVIDIA’s software and hardware stack is not being used only for research; it is helping Fast Accounting move from model development toward production-oriented AI capabilities for enterprise accounting workflows.