Today, Commence^TM announced the release of Amplify, a modular next-generation platform built to transform how healthcare organizations access, analyze and understand medical records and health data.

Designed to solve long-standing pain points in government and commercial healthcare programs, this platform addresses the causes of fragmented health data workflows that start at the very beginning. The platform brings together advanced AI and a data-first approach to empower agencies to automate retrieval, optimize clinical reviews, and accelerate evidence-based outcomes.

Unlike legacy systems constrained by rigid case management frameworks or disconnected intake tools, Amplify starts with what matters most—understanding where data starts. By focusing on unstructured medical content from the outset, Amplify breaks free from siloed intake models and fractured operations, enabling agencies and enterprises to unlock true automation, accelerate decisions, and improve outcomes across critical programs.

“We built Amplify to solve the problem before the workflow,” said Ian Checcio, Chief Growth Officer at Commence. “It’s not about bolting on AI to a broken process—it’s about starting with the data itself. Once you understand the flow of health content, you can enable AI to do its job: extract meaning, streamline action, and enhance meaningful outcomes.”

Why Amplify Is Needed

Healthcare systems across both public and private sectors face mounting pressure to improve efficiency, reduce administrative burden, and detect fraud, waste, and abuse. Yet the information needed to drive these outcomes is often trapped in unstructured, low quality records and rigid workflow systems. This platform is built to solve the operational challenges holding programs back:

• Accelerating Medical Record Retrieval – Reduces time and burden for providers and agencies by standardizing and automating intake across multiple channels.
• Linking Claims to Clinical Evidence – Enables intelligent linkage between claims data, clinical codes, and medical documentation to support quality medical reviews and fraud, waste, and abuse detection.
• Augmenting Medical Reviews – Empowers clinical reviewers with AI-powered tools for summarization, classification, and source referencing.
• Enabling Benefit Determinations – Supports timely and defensible decisions across disability, eligibility, or coverage determination workflows.
• Enhancing Case Management – Delivers structured data and AI-extracted insights directly into case workflows for audits, quality of care reviews, program integrity, appeals, prior authorizations, and utilization reviews.

The platform is composed of three integrated modules—Capture, Review, and Clarity—that work independently or together to ingest, interpret, and intelligently analyze health information. These modules deliver a unified, adaptable platform experience tailored to diverse healthcare and government challenges.

Key Capabilities Include:

• Unified Data Intake – Collects and processes records from all intake methods—including email, fax, portals, Health Information Exchanges (HIEs), and mail—and all data modalities (PDF, images, DOC, CSV, and more). Standardizes incoming data for immediate use, reducing provider burden and improving intake efficiency.
• Noise Reduction & Data Integrity – Removes duplicate content and separates co-mingled records to ensure clean, reliable data, improving review accuracy and minimizing rework.
• AI-Ready Processing – Uses advanced Natural Language Processing (NLP) handwriting recognition, and intelligent classification to transform unstructured documents across multiple formats into structured, actionable formats enabling faster, more consistent downstream analysis.
• Dynamic Case Management – Orchestrates end-to-end workflows for audits, appeals, benefit determinations, and quality and utilization reviews, delivering structured insights that increase throughput, transparency, and defensibility.
• AI-Augmented Medical Reviews – Automates summarization, tagging, policy mapping, and evidence linking to accelerate clinical and regulatory review and reducing manual workload for clinicians.
• Natural Language Search – Enables fast, semantic digital search across full medical records using plain language queries and GenAI interaction, improving information access and reducing time-to-answer.
• System Interoperability – Supports integration with Electronic Health Records (EHRs), claims systems, and third-party tools through standards-based APIs, including Fast Healthcare Interoperability Resources (FHIR) and JSON formats. This ensures compatibility with existing infrastructure and reduces implementation risk.
• End-to-End Security – Protects Protected Health Information (PHI), Personally Identifiable Information (PII), and Controlled Unclassified Information (CUI) with robust access controls, full encryption, and continuous monitoring, meeting federal compliance standards and safeguarding sensitive data.

Amplify doesn’t just process—it AMPLIFIES.

By turning fragmented health records into structured, intelligent insight, this platform empowers healthcare and government programs to operate more efficiently, reduce administrative load, and make informed decisions with confidence. Commence is setting a new standard for how health content is retrieved, processed, and understood to bring better health outcomes within reach.

For questions, demo requests, or sales inquiries, please contact info@commence.ai.

About Commence

Commence builds transformative health solutions that merge AI with deep clinical context. Through platforms like Amplify, Commence is helping government agencies, providers, and payers move from fragmented systems to fluid intelligence—driving real-world impact through greater data for the greater good. Learn more at commence.ai.

View source version on businesswire.com: https://www.businesswire.com/news/home/20250722555664/en/

We built Amplify to solve the problem before the workflow... It’s not about bolting on AI to a broken process—it’s about starting with the data itself.