AI-Powered Revenue Reporting and Reconciliation That Actually Works
Your PM system is terrible at reporting and when payers quietly change their denial patterns, it takes months to catch. Our automation pulls data from across your systems, spots anomalies like sudden spikes in denials for specific diagnosis codes, and surfaces trends before they drain revenue. Your directors can stop doing VLOOKUPs and start driving strategy.
7 min saved
Batch Reconciled
The Medical Billing Reconciliation Process Is Broken
Your finance team knows these numbers don't lie. Manual revenue reconciliation is consuming resources you don't have, and costing revenue you can't afford to lose.
Hundreds of Hours Wasted Monthly
Your skilled Managers and Directors are spending 40%+ of their time on SpreedSheets and Pivot table whean they could be managing denials and underpayments.
Revenue Leakage You Can't See
Underpayments slip through. Denial trends go unrecognize without automated RCM AI intelligence, you're flying blind on where cash is stuck.
Your PM System Is Terrible at Reporting
Let's be honest your EHR/PM systems are great at some things and awful at reporting. So your analytics team builds a data warehouse, and now every report request becomes a ticket that takes weeks.
Access to Reports Is a Nightmare
Need a report? Submit a ticket to the data analytics team and wait. Or pull five different reports yourself, and pray the data is current. Either way, you're not getting answers you're chasing spreadsheets.
Integration Nightmares
Every "solution" wants a 6-12 month implementation. New interfaces. New workflows. New headaches. Your analytics team is already underwater.
Operations Can't Wait on Analytics
Your operations teams need data to manage staff, hit metrics, and make decisions today but they're waiting days or weeks for the analytics team to deliver reports. By the time the data arrives, the moment has passed.
Revenue Reconciliation Automation That Works in Your Existing Systems
Innobot doesn't require new integrations. Our bots work exactly like your best biller would. Logging into your EHR/PM systems and reconciling revenue the right way, every time.
Automated Bank Reconciliation
Bots pull reports from your PM system, access the lockbox, match deposits to posted payments, and flag discrepancies. So your team focuses only on exceptions.
Data Analytics That Catch Denial Trends Fast
When a payer changes their processing rules and starts denying claims for a specific procedure or diagnosis range, our analytics identify the pattern in days—not months. You fix it once at scale instead of working hundreds of claims one by one.
KPI Dashboards Aligned to HFMA MAP Keys
Real-time dashboards tracking the metrics that matter days in AR, denial rates, cost to collect, cash velocity and all aligned to HFMA MAP Key benchmarks. Walk into your executive board meeting with insights, not excuses.
Intelligent Reporting for Operations
Your operations teams get the data they need, without submitting tickets or waiting on analytics. Filter by payer, provider, location, or date range.
Live in 6-8 Weeks. Not 6-12 Months
We've already built in Epic, Cerner, Meditech, NextGen, eClinicalWorks, and 20+ other systems. Our "build-a-bear" approach assembles pre-tested components customized to your workflow.
Discovery
We map your charge capture workflows, payer mix, and edge cases. We understand where revenue is leaking before we write a line of code.
Design
Custom rule engine and decision trees built for your specific workflows. This isn't one-size-fits-all it's "build-a-bear" customization with pre-built components.
Development
Bots are programmed to work exactly like your best employees navigating the same screens, clicking the same buttons, following the same processes.
Go-Live
Incremental testing (5 → 15 → 50 → 100+ accounts) ensures quality. Then full production deployment with ongoing monitoring and support.
Proven Results from Reconcile Revenue Automation
These aren't projections. These are real numbers from healthcare organizations using Innobot to automate revenue reporting and reconciliation today.
Faster month-end close
Underpayments recovered Year 1
Payment posting accuracy
Per touch vs $18+ manual
Regional Hospital System Cuts Month-End Close from 12 Days to 3
A 4-hospital community health system in the Midwest ($340M net patient revenue) was drowning in manual reconciliation. Their finance team spent 12+ days each month matching lockbox deposits to posted payments, chasing missing remits, and resolving ERA exceptions, leaving no time for strategic work. After implementing Innobot's bank reconciliation and payment posting automation, they transformed their entire revenue reporting process.
We're Different And Here's Why It Matters
We're not a tech company that learned healthcare. We're RCM operators who built the automation we wished existed.
RCM Expertise First
Our founder has 28+ years in healthcare operations. We started in revenue cycle, not tech. We understand your problems because we lived them.
No Integration Required
Our bots work the same way your staff does logging in, navigating screens, clicking buttons. Works with EHR/Practice Management, and 1,800+ payers.
6-8 Week Implementation
Not 6-12 months. Every process automated in 6-8 weeks. Our "build-a-bear" approach uses pre-built components customized to your workflow.
Accessible Pricing
We built Innobot to be the "Walmart of healthcare automation" high quality at accessible prices. Mid-market hospitals shouldn't be priced out of automation.
Full-Service Model
Every engagement includes a dedicated team: software developers, business analysts, solution architects, quality auditors, and onshore RCM experts with 10-15+ years experience.
Proven Track Record
$1.3 billion in increased revenue at previous organizations. $17M recovered in underpayments in 120 days for one client. 20% staff reduction in year one for a 4-year enterprise client.
Frequently Asked Questions About Revenue Reporting and Reconciliation
What exactly does revenue reconciliation automation do?
Our bots handle the entire medical billing reconciliation process: pulling reports from your patient accounting system, accessing your lockbox to verify EFT deposits hit the bank, matching payments to posted remits, identifying discrepancies, and flagging exceptions for human review. They also process ERA/EOB payment posting with 99.98% accuracy, matching by date of service, CPT codes, and charge amounts, then balancing and closing batches automatically.
How does this work with our existing EHR/PM systems?
No integration required. Our bots access your systems the same way a remote employee would through standard user credentials via RDP/VPN. They navigate screens, run reports, and perform actions exactly like your best biller. This means no IT project, no API development, no workflow changes. We've already built in Epic, Cerner, Meditech, NextGen, eClinicalWorks, athenahealth, and 15+ other platforms.
What revenue cycle reports will I have access to?
We create KPI dashboards in Power BI that pull charges, payments, adjustments, denials, AR aging, and bad debt from your system in real-time. The AI layer spots anomalies and trends like if Cigna suddenly starts downcoding all your 99214s to 99213 across multiple providers. You get complete visibility into what's automated vs. what needs human attention, with clear metrics on bot vs. staff productivity.
How do you handle claims reconciliation with different payers?
We've already built connections to Availity, Optum, Navinet, Payspan, Instamed, Change Healthcare, all Medicare MACs, all state Medicaids, and every major commercial payer. Over 1,800 payer portals total. When we customize for your organization, we configure the specific payer mix you work with in-network vs. out-of-network, EFT vs. ERA vs. paper EOB, and your specific CARC/RARC code handling rules.
What ROI can we expect from reconcile revenue automation?
Our cost per touch is approximately $0.06 compared to $18+/hour for manual staff. One client saw $17M in underpayment recovery in 120 days just from automated fee schedule comparison. Another achieved a 34% Q1 revenue increase through automated deductible holds. We provide an ROI calculator during your demo based on your specific volume, payer mix, and current staffing costs so you'll know the numbers before you commit.
Ready to Stop Leaving Revenue on the Table?
See how Innobot's charge capture automation can work in your specific environment. No pressure, no generic demo—just a real conversation about your challenges.
