# Real cases. Real numbers. Real partners | Case Studies

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# Real stories. Real impact.

See how healthcare providers cut costs, reduced denials, and automated RCM workflows with our AI Agents – stories, frameworks, and lessons from the field.

[100%ROI in just 23 days from eligibility automation together with Denial Hunter, with $180,000 worth of savings after year one.PTCoA](https://www.flobotics.io/case-studies/100-roi-in-just-23-days-we-automated-eligibility-checks)[98%Reduction in manual claim prep. See how an automated EHR-to-claim data pipeline removed up to 250 hours per week of manual RCM work.Gentem Health](https://www.flobotics.io/case-studies/98-reduction-in-manual-claim-prep-claims-management-automation)[Up to 80%Higher throughput in RCM. See how we automated PathGroup’s systems and connected it with a custom laboratory information system data exchange.PathGroup](https://www.flobotics.io/case-studies/up-to-80-higher-throughput-in-rcm---denials-management-automation)[8+FTEs saved. Learn how agentic AI freed 8+ FTEs for a multi-state pain management network and its RCM team.PTCoA](https://www.flobotics.io/case-studies/85-faster-submissions-8-ftes-saved-prior-authorization-automation)

AllBusiness process automation (Non-healthcare)Claims ManagementDenials ManagementEHR IntegrationEligibility ChecksPre-Auths

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Denials Management

Up to 80%higher throughput in RCM, with a custom laboratory information system data exchange.

## Up to 80% Higher Throughput in RCM

PathGroup’s case shows how automated denial handling across athenahealth and PathSys reduced processing time from ~10 minutes to ~55 seconds, cleared backlogs to near-zero, and scaled to ~300 automated resubmissions per day.
Read the case study →
](https://www.flobotics.io/case-studies/up-to-80-higher-throughput-in-rcm---denials-management-automation)[
Eligibility Checks

100%ROI in 23 days from eligibility automation plus Denial Hunter, with $180,000 in savings after year one.

## 100% ROI in just 23 days. We Automated Eligibility Checks!

PTCoA’s case shows eligibility checks automated to ~40 seconds each, saving about 3 FTEs. Together with Denial Hunter, the work reached 100% ROI in 23 days, with $180K in projected first-year savings.
Read the case study →
](https://www.flobotics.io/case-studies/100-roi-in-just-23-days-we-automated-eligibility-checks)[
Claims Management

98%reduction in manual claim prep. Up to 250 hours per week of manual RCM work removed.

## 98% Reduction in Manual Claim Prep

Gentem’s case demonstrates how an agentic AI automation layer strengthens the entire claims lifecycle without adding headcount or forcing changes to existing EHRs.
Read the case study →
](https://www.flobotics.io/case-studies/98-reduction-in-manual-claim-prep-claims-management-automation)[
Pre-Auths

8+FTEs saved. Agentic AI standardized prior authorization submissions across payer portals.

## 85% Faster Submissions, 8+ FTEs Saved

This case demonstrates how a fully autonomous AI agent standardized prior authorization submissions across payer portals, eliminating inconsistencies in a large U.S. pain management network.
Read the case study →
](https://www.flobotics.io/case-studies/85-faster-submissions-8-ftes-saved-prior-authorization-automation)[
Client casePre-Auths

-90%time to submit prior authorization packets, from the LIMS to the payer portals.

## 90% Faster Packet Submissions

This case shows how prior authorization automation eliminated manual data entry for a high-volume genetic diagnostic lab, accelerating patient turnaround and improving competitive advantage without replacing existing systems.
Read the case study →
](https://www.flobotics.io/case-studies/90-faster-packet-submissions-prior-authorization-automation)[
Client caseEligibility Checks

+50%capacity restored, with the monthly eligibility backlog cut in half.

## Halving Monthly Backlog

This case shows how automated eligibility verification across multiple portals reduces processing time by 90%, cuts manual work by over 90%, and increases verification speed from ~5 minutes to ~1 minute per case.
Read the case study →
](https://www.flobotics.io/case-studies/halving-monthly-backlog---eligibility-automation-in-action)[
Client caseClaims Management

70%faster claim turnaround for out-of-network reimbursement.

## 70% Faster Claim Turnaround Time (CTT)

SuperBill’s case shows the power of document-to-claim automation. Our AI agent cut Claim Turnaround Time (CTT) by ~70%, from ~24 hours to ~7 hours.
Read the case study →
](https://www.flobotics.io/case-studies/70-faster-claim-turnaround-time-ctt-claim-management-automation)[
Client caseDenials Management

$50K+saved in one month, with 90% less manual rework for the RCM team.

## $50K+ Saved in 1 Month | AI Agent For Denials Management

This case demonstrates how AI-driven denial automation eliminated ~90% of manual rework, reduced claim processing time from ~6 minutes to ~30 seconds, cleared 80% of a 3,000-record backlog in three weeks, and delivered $90K+ in savings with 500+ hours saved monthly.
Read the case study →
](https://www.flobotics.io/case-studies/50k-saved-in-1-month-ai-agent-for-denials-management)[
Client caseBusiness process automation

300,000%ROI from one simple RPA procedure.

## 300,000% ROI for T Bank | Finance & Banking

This case represents about $100,000,000 worth of applications and $5,000,000 in the organization’s revenue. Our client saved over 200 hours of human labor, allowing business owners all over the USA to apply for over 1,000 loans. The entire development took about 8 hours!
Read the case study →
](https://www.flobotics.io/case-studies/t-bank-automation)[
Business process automation

2 FTEssaved with end-to-end invoice processing.

## 2 FTEs saved via full invoice processing automation case study | Cohen & Company

This case study shows how robotic process automation streamlines accounting and saves 2 FTEs.
Read the case study →
](https://www.flobotics.io/case-studies/cohen-rpa-in-accounting-automation-case-study)[
Client caseBusiness process automation

## Canada Satellite | Hundreds of SIM cards & healthy CRM

Canada Satellite provides satellite services and devices, including satellite phones, satellite TV, and satellite internet. With offshore branches such as Africa Satellite, Asia Satellite, Australia Satellite, Europe Satellite, and American Satellite, the company operates globally and supports customers across multiple regions and markets. We implemented an RPA-based automation layer connecting the CRM and shop backend, leveraging the fact that both prepaid and postpaid processes were rule-based with a shared starting point in the CRM and a shared endpoint in the shop system.
Read the case study →
](https://www.flobotics.io/case-studies/canada-satelite-automation)[
EHR Integration

10,000+transactions automated every month.

## 10,000+ transactions automated monthly

DocPlanner is the world’s biggest healthcare platform (and the market leader in 13 countries), serving 90M patients and 280M healthcare professionals and processing over 22M appointments booked via the DocPlanner app monthly. UiPath created a simple PoC of one automation and recommended Flobotics as a development partner. That's when we stepped in.
Read the case study →
](https://www.flobotics.io/case-studies/docplanner)[
Client caseBusiness process automation

$100,000+in estimated labor cost savings.

## $100K+ saved in a few days

The company needed to automate two highly labor-intensive processes: pulling client data from the IRS website and filing tax returns. Each step took approximately 45 minutes per client when done manually, and access to the IRS portal was limited to a single set of credentials, preventing parallel work. So we delivered.
Read the case study →
](https://www.flobotics.io/case-studies/mystic-river-consulting-automation)[
Client caseBusiness process automation

$186,000of profit in year one.

## $186,000 of profit in year one

This case study shows how our RPA solutions helped Axpo deal with rapid growth.
Read the case study →
](https://www.flobotics.io/case-studies/axpo-automation)[
Client caseBusiness process automation

4,685hours of manual labor saved per year.

## 4,685 hours of manual labor saved

This collaboration became one of Flobotics’ longest and most successful partnerships. Initial automation backlogs were cleared, and ongoing process discovery workshops identified new SAP bottlenecks. The client’s Center of Excellence was optimized by gradually shifting from attended to unattended bots, allowing teams to fully leverage RPA across SAP-driven workflows.
Read the case study →
](https://www.flobotics.io/case-studies/sugar-producer-automation)[
Client caseBusiness process automation

4xfaster account activation: about 16 minutes down to 4.

## 4x faster account activation

This case study shows how RPA boosts efficiency in the telecom industry.
Read the case study →
](https://www.flobotics.io/case-studies/gps-nvision-automation)[
Client caseBusiness process automation

600xfaster account activation: about 10 minutes down to 1 second.

## 600x faster account activation

Global View case study shows that the full implementation, including testing, can be completed in under three weeks by a single UiPath developer.
Read the case study →
](https://www.flobotics.io/case-studies/global-view-automation)[
Business process automation

100%ROI within two months.

## 100% ROI within two months

eSky case study shows how we turned a tedious manual process into a fully automated pipeline with 100% ROI in two months.
Read the case study →
](https://www.flobotics.io/case-studies/esky-luggage-tracking-automation)[
Business process automation

## Custom algorithm

In this case study, you’ll read about the algorithm we built for ePhi, an industrial cleaning services company from France. It captures, organizes and shares satellite images with consistent scale and definition, at predictable costs.
Read the case study →
](https://www.flobotics.io/case-studies/custom-algorithm-for-ephi)

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30-minute callKarl MielnickiCo-founder, CTO

Walk me through the process your team does by hand. I’ll tell you whether it’s worth automating and how I’d approach it.

Karl
