Pivotly Launches “Human-in-the-Loop” AI Workflow Tool to Eliminate Costly Data Entry Errors

Pivotly announced the launch of Pivotly Parse, a new “done-for-you” service designed to solve one of the most persistent and costly bottlenecks in business: manual data entry.

“We’re not replacing experts, we’re enabling them… …automate the busy work so your team can just focus on the expert work that actually brings in money.”

Pivotly Parse combines AI with human review to guarantee 100% accuracy on mission-critical manual data processes. The service is built for small to medium businesses that run on high-stakes workflows, such as processing construction bids, manufacturing orders, or service requests.

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For these businesses, manual data entry costs are a major liability. Teams spend hours copying information from RFPs, PDFs, and emails into other systems. This manual effort is not only a drain on expensive expert staff, but a single typo can wipe out an entire project’s profit margin.

Unlike “black box” AI platforms that can hallucinate and create new errors, Pivotly Parse is a lightweight solution focused on safety. The service connects to a client’s existing email or document folders, where AI scans and extracts the critical data. This data is then presented to the client’s own expert in a simple review app for fast approval. Only after the human clicks “Approve” is the 100% verified data sent to its final destination, such as an ERP or CRM.

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“Businesses are being trapped paying their teams to be data entry clerks, but they’re also terrified of the errors ‘magic’ AI can make because it costs so much,” CEO and Founder, Dan O’Keefe explains. “Pivotly Parse is a practical solution. We’re not replacing experts, we’re enabling them. We automate the busy work so your team can just focus on the expert work that actually brings in money.”

To make adoption simple, Pivotly is offering a no-risk, $0 Proof of Concept. The Pivotly team will build a custom workflow using a client’s real documents to prove the value before any financial commitment.