Capture missed revenues in weeks, predict, identify, and capture claims accurately in the first pass using the power of ML.
Identifying, processing, and collecting healthcare service revenue is increasingly complex, with new clinical advancements and complex payer-provider contracts. The traditional rule-based Revenue Cycle Optimization (RCO) products cannot deal with the complexity of today's care pathways or payer-provider contracts. RevCaptureAi uses AI to find patterns to predict, identify missed revenue, and learn with user inputs continuously, eliminating the need to define rules.
Achieve revenue excellence through self-learning ML boosting revenue integrity over time with more data and user interaction.
Healthy revenue is essential to ensure healthcare facilities' smooth functioning and operations. Unfortunately, coding errors, incomplete clinical documentation, coverage inaccuracies, administrative errors, claims denials, and other errors or procedural gaps result in missed revenue. RevCaptureAi can boost revenue integrity using machine learning by helping operationalize the revenue management process by reducing the gaps and errors so that more payments are captured the first time, every time.
Improve compliance audit to evaluate the accuracy of operational, clinical, and documentation metrics, including coding.
RevCaptureAi improves compliance audit to evaluate the accuracy of operational, clinical, and documentation metrics, including coding. Identify process improvement/training opportunities to process claims correctly and completely the first time. RevCaptureAi includes support for additional service areas and users involved with clinical documentation and coding.
Easy to deploy on-premise or hosted as a service with support for leading EHR and EMR and no ongoing consulting or hidden costs.
RevCaptureAi provides flexible deployment options, allowing easy integration and smooth implementation without disruptions. With a commitment to transparency, there are no ongoing consulting fees or hidden costs, enabling businesses to optimize revenue capture without financial surprises. Trust RevCaptureAi to streamline your revenue cycle effortlessly while focusing on sustained growth and compliance.
Enjoy results in 6-8 weeks with a low upfront cost followed by a gainshare model ensuring successful business outcomes.
Experience tangible results within 6-8 weeks, facilitated by our low initial investment and unique gainshare model. This innovative approach aligns our success with yours, emphasizing collaborative growth. By focusing on successful business outcomes, we prioritize delivering value and fostering long-term partnerships. With RevCaptureAi, achieving financial goals becomes a shared journey towards sustainable success, driving efficiency and profitability for your business.
We take the risks and you reap the rewards.
With low upfront investment, shared success, and quick revenue capture, RevCaptureAi pays for itself through missed revenue recovery, improved compliance audit with no hidden fees. Our ML-driven product identifies missed charges with AI precision boosting your bottom line and keeping your business in the green.
Faster and tangible outcomes
Get tangible value in record time. No more waiting for months or years for uncertain results
Outcome-driven solutions
We put our money where the math is.
Plug, play and go live
Hosted on-premise or as a service, requires no expensive consultants, and is ready to go live
Scalable for businesses of all sizes
Caters to Fortune 5 to mid-sized enterprises across diverse industries
10x Lower costs of Data Enrichment
Build vs buy, Faster, Better, Cheaper. Less cost, less risk
A Top-5 Fortune 500 retailer
World’s leading chemical producer
Top-3 US city goverment
Leading American luxury retailer
Leading American department store chain
Leading US-based cloud solutions provider
Fortune 500 financial services company
Global pharma powerhouse
World’s leading credit rating agency
US-based academic healthcare network
Leading US healthcare provider
Global leader in AI solutions