Use cases > Tax accounting > IRS notice > Copper

Save time and money on IRS notice and Copper paperwork

Don’t transfer data from the IRS notice manually into Copper, let AI do it for you. Manual IRS notice data entry and traditional OCR solutions are slow, expensive and error-prone. Most importantly, they waste valuable employee talent.
Rossum’s unique computer vision technology reads the IRS notice in a way that ensures fast data capture and greater accuracy with repeated use. Reduce costs. Eliminate tiresome data entry. Turn your team into a driver of efficiency and growth with Rossum.

Many companies are still using manual data entry and extraction for the software programs they depend on. Manual data entry is long and tedious and therefore frequently results in human errors that can be expensive to fix. Rossum's AI-based software automates data capture for business software programs. By using Rossum's software, your company can do away with up to 90 percent of personnel labor requirements for data entry for software such as Copper. Our software uses novel computer vision technology that looks at the document as a human would. Implementing Rossum will increase efficiency of your operations and free up valuable labor resources that can be deployed elsewhere.

Rossum is an AI document gateway that solves four key steps in document-based processes simultaneously: receiving documents across multiple channels, automated understanding, two-way communication for exception resolution, and acting on the data using in-depth integrations.

In typical real-world scenarios, Rossum’s proprietary AI engine outranks narrower data extraction solutions in accuracy. Meanwhile, Rossum’s platform automates document communication processes end-to-end. Rossum’s goal for every use case is at minimum a 90% document processing speed increase.

Rossum is ISO 27001 certified and HIPAA compliant, with enterprise-grade SLAs ranging up to a 99.9% uptime guarantee and 24/7 support.

See how Rossum works
with supported documents

Try Free Trial