From Reconciliation Drag to Decisive Action: AI-Ready RCM for a PE-Backed Physician Practice Management
Rapid Astradis™ deployment
to live, reconciled foundation
Unified across multi-site specialty network
Weekly across the network
Overview
A PE-backed multi-site specialty physician practice management firm had grown rapidly through acquisitions but lacked a reliable way to translate EMR data into operational decisions. Teragonia deployed Astradis™ in weeks to deliver a reconciled clinical, operational, and financial data foundation focused on automated volumetric and RCM (Revenue Cycle Management) analytics, and daily Astra Insights – shifting leadership from monitoring KPIs to taking decisive action across the encounter-to-cash lifecycle.
The Challenge
A multi-site specialty physician platform built through buy-and-build growth lacked trusted, day-to-day visibility – leaders spent more time reconciling numbers than improving performance.
Teragonia's Solution
Teragonia deployed the Astradis™ platform to establish a reconciled data foundation across disparate systems like EMR and other source systems to deliver automated volumetric, RCM, and revenue-at-risk analytics with traceability from KPI to encounter-level record.
Teragonia deployed Astradis™ – powered by the FibronAI Orchestration Core – to replace fragmented reporting with automated, decision-grade analytics spanning the data foundation, volumetric reporting, RCM, and operator-facing insights:
- Unified Clinical, Operation, & Financial Data Foundation: Ingested EMR and other source systems into a semantically defined model with orchestrated daily runs and KPI-to-encounter traceability, integrating budget and CPT-by-payer payment data to enable dollars-at-risk analysis.
- Volumetric & Weekly Flash Reports: Delivered live analytics with enterprise-aligned definitions for key dimensions like visit, encounter, and claim – enabling clear volumetric visibility for management and sponsor for the first time.
- Automated Unbilled Claims Digest & Astra Insights: Surfaced uncoded revenue at risk daily and routed operators to the highest-impact recovery actions through AI-generated narrative insights – replacing reactive reporting with prescriptive workflows.
- Encounter-to-Cash RCM & Denials Analytics: Categorized denials by controllability using CARC/RARC mappings, exposed AR stall points and aging, and provided clean claim rate, denial rate, and gross collection visibility at the practice and provider level.
Results
- Trusted Source of Truth: Reconciliation directly to source systems and location-level manual counts restored leadership confidence and enabled practice-level data quality governance.
- Encounter-to-Cash Acceleration: Clear visibility from volume to billing status accelerated cash conversion, with controllable denials prioritized for appeal and coding gaps surfaced for remediation.
- Next Best Action Delivered to Every Level: Automated Daily Digests and Astra Insights shifted operators, RCM, and FP&A from reactive reporting to prescribed next-best actions – embedding new accountability rhythms and accelerating execution across every level of the organization.
- Foundation for Predictive & Agentic RCM: Positioned the platform to advance into predictive denial scoring, automated ASC eligibility flagging, and agentic workflow automation as Walk and Run phases.
The Impact
Reduction in unbilled-claims backlog
Faster claim submission
manual reporting eliminated
To a live, reconciled data foundation
A trusted single source of truth across 200+ providers and 30,000+ weekly encounters – accelerating cash conversion, surfacing controllable denials, and laying the foundation for RCM predictive analytics and RCM agentic automation.
By replacing fragmented EMR reporting with a reconciled, AI-ready data foundation, Teragonia shifted the platform from monitoring KPIs to orchestrating decisive action across the encounter-to-cash lifecycle – moving leadership time from validating numbers to improving performance. Over the next 2–4 months, predictive pre- and post-denial claims scoring, automated ASC eligibility flagging, and RCM agentic applications will extend Value Orchestration from live visibility into prescriptive and agentic execution.
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Foundational Tech Infrastructure
Our core analytics and AI platform drives informed decision-making with enhanced clarity and focus, and rapidly unlocks enterprise value
Core Features:
Connect All Your Data Sources
Integrate data from multiple source systems effortlessly
Critical for breaking down silos and creating a unified view
One Trusted Data Source
A secure, centralized cloud hub for all your data insights
Foundational for reliable decision-making and enterprise-wide alignment
Interactive Dashboards
Visualize complex data through easy-to-understand dashboards
Empowers leaders with actionable insights
Enriched Data Flow, Fully Automated
Reverse ETL capabilities enriches your data and ensures your data flows exactly where it is needed for function teams to act on
Enables real-time, action-oriented data flow
Additional AI capabilities are actively in development
Scott Briggs
BS International Business | American University of Paris
BS Computer Science | American University of Paris
Seasoned DevOps and infrastructure engineer with expertise in AWS, Kubernetes, and Terraform; led cloud migrations and scalable infrastructure projects at Sfara, FanDuel, and Kickstarter.
With over 15 years of experience in small and medium-sized startups, Scott is a seasoned expert in designing, optimizing, and maintaining robust, scalable, and secure infrastructure. He specializes in automation and embedding security from the ground up, consistently delivering reliable systems tailored to meet dynamic business requirements.
Prior to joining Teragonia, Scott made a significant impact at Sfara, where he built the company’s entire infrastructure from scratch. He engineered systems capable of supporting hundreds of thousands of users with seamless scalability, implemented automated development pipelines, and introduced observability tools to monitor and manage resources effectively. Additionally, Scott led the infrastructure team in achieving ISO27001 security certification, ensuring security was integrated into every aspect of the system and transforming it into a critical asset for business-to-business operations.
Beyond his technical expertise, Scott has a proven track record of managing and mentoring high-performing teams. As a Senior DevOps Engineer at FanDuel, he gained invaluable experience in scaling infrastructure and optimizing resources to support millions of daily users, aligning technological capabilities with organizational goals.
Jack Amedio
Master’s in Human Resources | University of Illinois
Bachelor’s in Management | Loyola University
Former Financial and Operations Manager at Houlihan Lokey, Golin Harris, and MSL Group.
Jack is a highly driven, cross functional professional with extensive experience in operations and administration.
Prior to joining Teragonia, Jack held financial and facilities management roles for Houlihan Lokey, MSL Group/Publicis, and Golin Harris in which managed and created processes and trainings for multiple functional areas ensuring operational and administrative procedures were well planned, efficient, cost-effective, and aligned with business objectives while ensuring initiatives, internal events as well as client events propelled employee and client engagement.
Jack holds undergraduate degrees from University of Illinois and Loyola University Chicago and has completed graduate certificates in Business Administration, Strategic Human Resources, and Operations at Cornell, CUNY-Buffalo, and University of Illinois and is in the process of completing a Master’s in Human Resources at Loyola University Chicago’s Quinlan School of Business.
Mason Taylor
MS Analytics | Georgia Institute of Technology
BS Management Information Systems | Oklahoma State University
Former analytics engineer at Cyderes and ConocoPhillips with a Master’s in Analytics from Georgia Institute of Technology and a Bachelor’s in Management Information Systems from Oklahoma State University
Mason is an Analytics Engineer with deep experience in data analytics, business intelligence, machine learning, and cybersecurity. He brings a proven track record of leading analytics engagements spanning architecture, insights, visualizations, and delivery.
Before joining Teragonia, Mason was a Senior Analytics Engineer at Cybersecurity MSSP CYDERES where he built a scalable, standardized, and secure analytics architecture for over 300 clients across many industries and consulted with them to deliver insights through bespoke data driven solutions. In addition, he managed the data delivery of the insight platform leveraged by the Security Operations Center to respond to incidents in a timely and effective manner.
Prior to joining CYDERES, Mason worked in ConocoPhillips’ Analytics and Innovation Center of Excellence holding varied roles within the Data Analytics organization from Data Engineering, to Business Intelligence, and Data Science. He delivered robust data solutions in all operating units for various functions including Engineering and Production, Finance, IT, and more. Including projects to standardize cost and production data across operating units.
Mason started his career at The Williams Companies in cybersecurity and transitioned to cybersecurity at ConocoPhillips where he found his passion for Data Analytics through SIEM management, detection engineering, and threat intelligence.
Grace Sun
Bachelor’s in Finance & Accounting | Georgetown University
Former analytics engineer at Houlihan Lokey and financial analytics at JP Morgan Chase with a Bachelor’s in Finance & Accounting at Georgetown University
Grace is a seasoned analytics engineer with specialized expertise in crafting and implementing analytics solutions that drive agile, informed executive decisions in M&A and value creation for private equity-backed companies.
Before joining Teragonia, Grace was a part of the data science and business analytics team at Houlihan Lokey. She has excelled in harmonizing, enriching, and analyzing data from diverse sources, providing key insights that enabled private equity investors and portfolio company executives to make rapid, data-driven decisions across the investment lifecycle. She has developed novel analytics solutions, including deal sourcing and evaluation tools for platform investments that employ a buy-and-build or de novo growth strategy, as well as post-close value creation and KPI reporting tools for operators and management teams.
Grace has also worked at JPMorgan Chase & Co. in the Global Finance and Business Management rotational program, where she built analytics solutions to evaluate banker attrition and KPI reporting within the Global Private Bank.