Harold vs. Grooper

Harold acts as a comprehensive automation tool that caters to both contemporary and legacy ERP systems, with the goal of stopping erroneous data from entering businesses. It carefully processes documents by extracting, verifying, and rectifying any errors before they are incorporated into interconnected systems. Unlike many document processing solutions that simply extract data, Harold prioritizes precision by tackling problems such as missing fields, inaccurate totals, incorrect VAT rates, and invalid supplier IDs, while also minimizing the need for manual checks, thereby preventing disruptions in subsequent operations. Through the application of AI, it efficiently collects information from a range of document types, including invoices, receipts, purchase orders, and statements, while automated rules ensure the data's accuracy, allowing only validated information to be sent directly to an ERP system, accounting software, or via a Zapier integration. Users can easily upload documents or direct them to a specific Harold inbox; after receiving them, Harold systematically extracts crucial details such as headers, totals, line items, and references into a structured format, automatically conducting checks and resolving any inconsistencies before exporting the information. Consequently, data can be handed over in various formats such as CSV, Excel, ERP outputs, or through automated Zapier workflows, which enhances Harold's role as an essential asset for upholding data integrity and optimizing efficiency in corporate operations. Furthermore, this streamlined approach not only saves time but also significantly reduces the risk of errors, ultimately contributing to a more productive work environment.

Most document AI asks you to trust it. You feed it documents, it returns answers, and when a number is wrong, "the model said so" is the only explanation available. Grooper was built for organizations that can't accept that. Grooper is an intelligent document processing (IDP) platform built on one premise: you stay in control. You control the method: about 57 extraction techniques across rule-based and AI families, chosen per field, so an invoice number can use a pattern that returns the same answer every time while the messy handwriting beside it uses AI. You control the AI's input: ReadScope lets you set the scope of what the AI reads, per field. The model can't misread what it was never shown. And you control the evidence: every value keeps its receipt. Click any number to see the exact spot on the page it came from, the method that produced it, what the AI was shown, and who checked it. A number without its source is a rumor; Grooper's numbers show their work. One system covers the whole job: scanning, OCR across 6 engines, document separation, classification, extraction, validation against your systems of record, human review with the source highlighted, redaction, and delivery. Extend it yourself through 61 documented extension points, and drive it with your own AI agents through MCP, the open protocol, instead of a captive vendor copilot. Deploy it your way: on your hardware, with AI models on GPUs you own so regulated content never leaves the building; in your own cloud tenant; or hosted and managed by BIS. Customers publish the results: 62% of invoices in a 2,000-a-day AP operation flow through with zero human touches, and Del Norte Credit Union eliminated 97.5% of manual data entry. Behind Grooper is BIS, an Oklahoma City company founded in 1986: self-funded, no outside investors, and sole author of every line of the code. Your documents. Your models. Your rules.