How A.Team Helped Supercharge Nurses' Productivity with AI for a Fortune500 Health System
Building a data platform to leverage generative AI and reimagine how clinical reporting is done.

It’s a classic healthcare sticking point: Documentation eats in the time that nurses can spend with patients. So one Fortune500 health system partnered with A.Team to build a data platform that would leverage generative AI to reimagine how clinical reporting is done throughout its network of hospitals.
The Challenge: Reduce Nurses’ Burnout without Compromising Patient Data
Nurses' lives are filled with tedious work, leading to burnout and staffing shortages with clinical reporting as the main time-consuming culprit. After the patient is discharged, notes taken by the practitioners are sent to the billing team and then onto the insurance provider.
If a denial event occurs, it triggers a dispute resolution cycle where the practitioners—mainly nurses—must write up a 45-page rite of analysis to provide to payers, which takes an immense amount of time and attention away from patient care.This health system wanted to use the latest AI technology to solve this problem, but lacked the in-house expertise to accomplish it.
The A.Team Solution: Developing an LLM to assist with dispute resolutions
This health system partnered with A.Team to build a data platform, leveraging AI, to re-imagine and innovate the way clinical reporting is done throughout its network of hospitals. It's designed to not only save nurses time and automate daily tedious work, but will also improve and streamline the quality of the reports, which will help patients in the end.
With A.Team I know that whoever I was interviewing also really wanted to be a part of the initiative.
The long term vision is for this platform to expand to other use cases as well, beyond nurses, and create a comprehensive, user-friendly experience to access any patient’s medical records in one central place that feeds from many disparate systems. A.Teamers on this mission are embedded across several teams to bring this vision to life, both towards the MVP and in the long term, working hand-in-hand with the health system’s internal tech team.
"The appealing factor of working with A.Team was the business model," said the company's Director of Innovation. "In an AI world, you have to have really passionate people. With A.Team I know that whoever I was interviewing also really wanted to be a part of the initiative."

Your agency owns your media data. That's the real AI bottleneck.
CPG media AI doesn't stall on model quality. It stalls because your agency holds your first-party Google and Meta campaign data. Here's how to own the pipe.

The trend dies before your brief is written
Detecting a social trend isn't the hard part. Scoring it for brand fit and turning it into a brief before the window closes is. Here's the discipline, and what an agent changes.

The campaign was failing in week one. The report came in week six.
The signals that a campaign is failing show up while it's still running. Most teams don't see them until the monthly report, after the budget's spent. Here's the in-flight discipline.