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CASE STUDY

Ember

AI-powered revenue cycle management automation platform that streamlines clinical coding, claims validation, and denial prevention to accelerate reimbursements.

Industry Healthcare Revenue Cycle Management
Solution AI-Enabled Revenue Cycle Workflow Automation
Engagement 6 Months
Services AI & Full-Stack Development
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Ember

Client Context

Ember Copilot is a United States–based AI revenue cycle management platform focused on automating clinical documentation, coding, claims processing, and denial prevention for healthcare providers. Its AI-driven tools integrate with existing EHR systems to reduce manual billing work and improve financial outcomes.

Founded in 2022 and headquartered in San Francisco, Ember has raised seed funding led by Nexus Venture Partners and Y Combinator, positioning it as a fast-growing player in AI-based RCM automation. It is trusted by hospitals and health systems seeking to streamline claims workflows, improve clean claim rates, and accelerate reimbursements.

AI Revenue Cycle Automation
EHR & Billing Integration
Denial Prevention & Coding Accuracy

The Challenge

Healthcare billing teams were burdened with manual claim validation, inconsistent coding, frequent denials, and slow reimbursements. These inefficiencies delayed cash flow, increased post-payment rework, and reduced revenue integrity across provider organisations.

Our Solution

We developed an AI-centric RCM automation platform that ingests clinical and billing data, applies NLP and predictive models to coding and claim validation, and automates denial risk scoring and workflow recommendations to reduce errors and accelerate payments.

Secure Data Ingestion & Preprocessing

Built pipelines to consolidate clinical notes, patient data, and billing records for analysis.

Clinical NLP & Coding Models

Developed AI models for ICD-10/CPT coding and documentation review with payer-aware logic.

Real-Time Claim Scoring & Validation

Implemented inference engines to flag high-risk claims and potential errors before submission.

Automated Workflow & Denial Prevention

Built denial prediction and proactive rule-based workflows to reduce preventable denials.

How We Delivered

1

Discovery & Alignment

Analysed existing RCM processes, pain points, and payer rules to define success metrics.

2

Architecture & Planning

Designed scalable data and model infrastructure for claims and coding automation.

3

Engineering & Integration

Developed AI pipelines, inference services, and EHR integrations.

4

Testing & Validation

Validated model outputs, coding accuracy, and denial risk performance using real claim datasets.

5

Deployment & Support

Rolled out production RCM automation features, monitored performance, and tuned based on usage feedback.

Outcomes Delivered

Related Capabilities

Healthcare Consulting Generative AI Development Healthcare App Development Cloud Application Development

Facing a Similar Challenge?

If you’re developing an AI-enabled revenue cycle management platform that accelerates reimbursements and reduces denials, we can help architect and scale your solution.

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