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Signed-off-by: Doc Jaan Altosaar Li <jaan@onefact.org>

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+title: How to save millions of dollars in health care costs as an employer
+description: We use analytics and AI to help you optimize your benefits and save millions.
+---
+
+# {% $markdoc.frontmatter.title %}
+
+As a CFO, your top line-item for the year might be salary. The second-biggest cost might be health care.
+
+As a CEO, Director of Human Resources, Benefits Manager, Health Fund Analytics team, you might also be aware that you can **reduce this cost** and **improve health outcomes** for your employees. 
+
+Did you know you can save millions of dollars from how much your organization pays for health care?
+
+We help reduce how much your organization spends on health care using a simple process:
+
+1. We standardize your claim feed that contains the billing codes for employees' visits to doctors and hospitals alongside medications.
+2. We benchmark the most expensive billing codes in the claim feed to our data from hospitals and insurers.
+3. We help you restructure your benefits (by designing employee incentives and copays, through an RFP, negotiation, or a member portal).
+
+It's that simple. Why isn't your organization doing this? We'd love to help and work with a team of analytics experts, AI researchers, and bioinformatics & health care analysts.
+
+**Organizations we have worked with have already reduced their health care costs by millions of dollars.**
+
+For example, we have worked with the Lehigh County controller who reduced health care costs by $6M out of a $23M spend for the 2,500 employees he monitors accounts receivable for.
+
+Some organizations we work with are even able to give wage increases to their employees (like [32BJ](https://www.youtube.com/watch?v=KqsR1bM9CNg&t=3s).
+
+**Reach out to us today to work with us: send us an email at [services@payless.health](mailto:services@payless.health).**
+
+Contracts start at $20,000 to complete steps 1 & 2. This will give you an estimate of how much you can save in a dashboard such as this visualization of 106,000+ line items at a major hospital in NYC: [https://beta.payless.health/examples/mount-sinai.html](https://beta.payless.health/examples/mount-sinai.html).
+
+We have worked with claims data representing tens of millions of patients, published academic research on health equity, designed AI systems to find patterns in health data. 
+
+We do this work as a non-profit to ensure trust and transparency and that reducing cost improves rather than harms health outcomes throughout the system. 
+
+