A health insurtech startup rebuilt employer sponsored health plans around price transparent, on demand care, paying providers the moment a patient confirms a bill and automating recurring payments to a patient's primary care doctor. Mindbowser integrated ACH account verification and recurring payment scheduling directly into the existing, live product, verifying every bank account before money moved and rebuilding the recurring payment trigger from a basic cron job into a reliable Celery task.
Talk to Our TeamA health insurtech startup rebuilding employer sponsored health plans around price transparency and on demand care
ACH account verification, one time bill payments, and recurring monthly provider payments, integrated into an existing live product
Python, Celery, Stripe ACH integration
Delivered
The product team's stated goal for the platform is to cut employer sponsored healthcare costs by $5,000 to $9,000 per employee, 30 to 60 percent, and move provider payment timelines from months to near instant. This ACH and recurring payment integration was built to support that goal. It is not a measured result of this engagement specifically.
Healthcare billing runs on the assumption that providers wait months to get paid and that patients have no visibility into cost until a bill already exists. This client had already designed around that assumption. Mindbowser had to add real money movement on top of it without breaking what was already in production.
Under NACHA's operating rules, standard ACH credit transactions settle in one to two business days. Confirmed bill payments needed to move from confirmed to paid without that gap becoming a source of risk.
A failed transfer after the fact meant chasing money and reconciling account data alongside it. Verification had to clear before any transaction could proceed.
A monthly payment from an employer's account to a patient's primary care doctor needed to trigger on the correct day, with the correct amount, every month, with no one manually starting it.
The integration had to land inside functionality the product already depended on, which meant understanding how the existing code worked before writing anything new.
Built and delivered using:
Before adding any new feature, we traced existing functions end to end to understand how the product actually worked, not just how it looked on the surface. That groundwork is what let the ACH integration land cleanly instead of quietly breaking something adjacent.
The second payment type ran on a schedule instead of a one time confirmation: a recurring monthly payment from an employer's account to a patient's primary care doctor. Calculating the amount was straightforward. Triggering it reliably on the first day of every month, without drift or duplicate runs, was not. We started with a crontab scheduler to handle the trigger, then rebuilt it as a proper task function using the Python Celery library once we needed more control over how the job ran than a bare cron schedule could give us.
We broke the full scope into small user stories, ran them through scrum style sprints, and assigned time estimates to every story with deliberate buffer built in rather than estimating to the exact hour. Basecamp held the shared to do list the client could see in real time, and open questions were resolved as comments directly on the task instead of a separate email thread. We also ran demos of completed work with the client along the way, partly to show progress and partly to catch a wrong assumption before it compounded into a bigger fix later.
CodeGrip ran automated code review throughout the integration, which mattered more here than on a greenfield build. Every change was going into an existing product that could not afford a regression.
If your team is staring down the same tradeoff between shipping a payment integration and not breaking what already works, talk to us about what that looks like when the codebase is already in production.
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