Intuz

In this blog, you’ll learn how AI medical billing automation works, where AI adds value, what real-world results look like, and how you can choose a practical starting point for your organization. How much are you spending just to get paid for care you’ve already delivered? For US hospitals, that number reached an estimated $43 ... Read more

This blog post explains how the process works, where AI adds value, what implementation may cost, and how you can identify a practical first workflow to automate. Your patients may be completing registration forms online. However, that doesn’t mean you or your staff aren’t spending hours transferring the same info into the EHR. One study ... Read more

Did you know that across Medicaid, 77.17% of FY 2025’s $37.39 billion in improper payments were traced to insufficient documentation rather than fraud? If you’re an operations director, billing manager, or a home health care agency owner, the statistic might not completely surprise you. You see, in home care, that shortfall often starts with a ... Read more

SAN FRANCISCO, July 27, 2026 – Intuz, a US-headquartered company that designs, builds, and deploys production-ready AI applications and intelligent workflow automation for enterprises, today announced that it has been named an OpenAI Select Partner within the OpenAI Partner Network. The OpenAI Partner Network is a global program for partners to build, sell, and deliver ... Read more

This benchmark reflects real engineering work: our team at Intuz builds document intelligence pipelines for enterprise clients dealing with exactly this kind of high-volume, high-variance PDF ingestion. The patterns below aren’t theoretical — they’re what consistently breaks, and what consistently works, across every large-scale extraction project we run. A recent enterprise data engineering init…

A prospective client calls your firm at 6:40 PM about a matter that needs to move fast. No one picks up. They hang up, and forty seconds later they’re calling the next firm on their search results page. That single call, gone, is not a minor inconvenience. Clio’s Legal Trends Report puts the share of ... Read more

Most PDF-to-AI pipelines silently corrupt data before it ever reaches your LLM — Markdown output can’t handle merged table cells or chart context, breaking up to 18.2% of tables and quietly degrading the accuracy of anything your AI reports to customers, auditors, or execs. This blog breaks down the tri-modal extraction schema (91-96% fidelity) that ... Read more