ElectrifAi is a global AI solutions expert with unmatched models trained for immediate business success. We are experts in accessing disparate, messy data systems and transforming them into clean, useable forms by our data scientists or yours!
Our solutions reduce risk, increase performance and present profit quickly and effectively, paying for ourselves in just a few weeks. That’s practical AI and rapid ROI.
Revenue Cycle AI is a SaaS based, predictive analytic solution that uses machine learning algorithms to find missing charges and present them in a prioritized manner.
Pattern-based System to identify hidden patterns and detect missing-charges
SaaS
Web-based app.
No IT hurdles
Seamless integration with existing system
(IE. Epic, Meditech)
3 - 4
Week Implementation
Reviews 100% of patient invoices
Prioritizes Accounts with highest potential return to maximize auditor productivity
Easy to use UI to maximize Auditor productivity
Learns and adjusts automatically from Auditor feedback
ElectrifAI partnered with one of the nation’s largest health system with $4B in net revenues to streamline the charge reconciliation process and identify potential areas of opportunity. The health system processed millions of claims annually. The existing rules-based system was insufficient and resource intensive resulting in low findings, high false positives, and high resource cost. As a result, the health system was missing millions of dollars in net revenue due to missed charges and coding errors.
ElectrifAI worked with health system’s revenue integrity team to implement the Revenue Cycle AI solution to,
Health System Size
$4B
Impact
$10M
Daily / Weekly Feed
Patient Demographics
Hospital procedures and charges
Professional charges
Physician information
Payer information
Identifies patterns using advanced algorithms and predicts missing charges
Utilize sophisticated algorithm to integrate disparate data from hospital and physician systems
Prioritizes predictions using payer contract data and historical payments data
Intuitive user interface and web-based work flow enables efficient account review and improve auditor productivity
Automatic batch process to add confirmed missing charges directly in the financial system
Automatic batch process to add confirmed missing charges directly in the financial system
Machine learns from audit results and hospital specific policies to improve prediction accuracy
ElectrifAi Procurement AI next-level solutions helps organizations capture new opportunities that would otherwise be impossible including cost reduction, process improvement, contract compliance, risk mitigation, and working capital optimization.
Goes beyond traditional spend analytics to provide faster, more accurate visibility into spend
Rapidly uncovers hidden opportunities and risks buried within the text of contract documents
Custom developed analytics, such as:
Analyzes a wide range of processes to:
The solution provides institutional asset managers a holistic, systematic way to evaluate a manger or a portfolio of managers.
ElectrifAi’s Portfolio-AI is a next generation investment management solution that enhances an investor’s ability to make informed portfolio and allocation decisions and allows investment teams to focus on alpha-generating activities.
Every day, portfolio managers use dozens of internal and external data sources, making it near impossible to make well informed real-time decisions about positions, risk exposure and returns across assets classes.
ElectrifAi’s Brand AI enables brands to capitalize on the power of AI/ML and customer intelligence layer to deliver compelling and disruptive brand experiences that grow and deepen intimacy with target customers. Our solution focuses on brand and demand management, omni-channel marketing optimization and customer experience effectiveness acceleration.
ElectrifAi partnered with a top 3 wireless service provider in the U.S. The wireless provider had insufficient insights into their customer base. While they had plenty of disparate customer data overall, they held no actual knowledge of personas, needs or trigger points. Their teams worked on rule base customer segmentation and targeting with no real measured impact for campaigns, as well as multiple teams reaching out to customers with different messages.
ElectrifAi deployed and scaled an AI driven solution to 70+ million subscribers within 6 months. To begin, we established a new analytics workflow that prepared and transformed data, as an automated process for longitudinal views of customers, including Customer Demographics, Account Information, Device Information, Equipment Installment Plans, Customer Care Memo Logs, Payments and Usage.
We also enabled a data driven customer segmentation, insights into customer needs and predictive insights on the campaign pipeline. Our model used advanced ML to predict and optimize the following:
Wireless Provider Size
$30B+
Impact
$130M+
in Incremental Annual Revenues
Always Learning: System learns from each and every interaction (call center, campaign outreach, etc.) with the customer to further refine the next best action recommendations.
Personalized targeting capabilities.
Dynamic test & learn capabilities to generate insights and adjust hypothesis.
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