Recon Automations
Automated payment reconciliation catching 6 types of discrepancies

- Service
- AI Adoption & Automation
- Sector
- Healthcare & Revenue Cycle
- Built with
- Python
- Power Automate Desktop
- SQL Server
The constraint
Payment discrepancies between hospitals and collection companies went undetected until manual reconciliation — a slow, error-prone process with actual revenue losses.
What we built
Built automated reconciliation flows using Python and Power Automate Desktop for 12 client facilities, running at different weekly cadences to audit and flag payment discrepancies.
Outcomes
- 016 types of discrepancies caught automatically
- 0212 client facilities covered
- 03Revenue leakage reduced
- 04Hours of manual reconciliation eliminated
- Discrepancy types caught automatically
- 6
- Client facilities covered
- 12
Start here
Tell us what the process costs you today.
That number decides whether any of this is worth building. Bring it to the call and we can get to a straight answer inside half an hour.
- Emailsupport@eletech.io
- RepliesWithin one working day
30 min · no charge
Pick a time and we’ll talk it through.
- 30 min, and no charge for it
- Bring the process and what it costs you today
- A straight answer — including “don’t build this”
