Intuz
Medical Billing Automation: Replacing Outsourced Billing Teams with Custom AI Claims & Coding Agents
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
In this blog, you’ll learn how they work, what HIPAA-compliant documentation automation requires, where the ROI comes from, and how you can deploy scribes without any disruption. Did you know nearly one in four clinicians spends more than eight hours a week on the EHR outside normal working hours? Add the coding delays, the billing ... 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
This guide covers six use cases of AI in procurement, we at Intuz have scoped and developed, along with the data they require, typical implementation timelines and costs, and the decisions involved in building or buying each capability. Are you a procurement leader, business owner, or operations head managing more than $2 million in annual ... 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…
We shipped ten automations for a logistics client in four weeks. By the end of the build, one small thing bothered us more than any bug we fixed along the way. Each of those ten automations held a key to something real. One carried the Shopify token. One held the production database password. One had ... Read more
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

