Healthcare Engineering

    Revenue Cycle Management

    Platforms that plug hospital revenue leakage — from authorization capture and tariff matching to settlement reconciliation and deduction recovery.

    The Use Case

    Why it matters

    Hospital revenue leaks quietly. Authorization amounts, MOU tariffs, and settlement advices arrive as inconsistent PDFs and scans from dozens of insurers and TPAs — and a deduction of a few thousand on one claim, repeated across thousands of claims, is a number nobody is watching. The work of catching it is manual, tedious, and always behind. We build RCM platforms where AI reads the paperwork at source, every claim is tracked through its full lifecycle, and settlement reconciliation becomes a line-by-line, evidence-backed process.

    Who it's for
    Hospitals & hospital chainsInsurance & billing desksFinance & revenue leadersTPA-facing operations teams

    What We Do

    Problem Addressed

    Hospital revenue leaks at the insurance desk — deductions, tariff mismatches, and short settlements go unnoticed across thousands of claims.

    Where It Fits

    The revenue-integrity layer between your HIMS / billing and every insurer and TPA you settle with.

    Key Capabilities

    Read the paperwork with AI

    Document intelligence extracts structured data from authorization, cashless, and settlement letters — no matter the insurer's format.

    Match against the tariff

    Every billed line is checked against the policy and the hospital–insurer MOU tariff, so mismatches surface before they become write-offs.

    Track the full lifecycle

    Pre-auth, enhancement, reconsideration, final claim, and settlement all live in one tracked pipeline with turnaround time monitored at each stage.

    Reconcile line by line

    Batch settlements are auto-mapped to claim and bill line items, so every deduction and shortfall is identified — and, where appealable, actioned.

    Agentic AI Architecture

    Claims paperwork is messy, high-volume, and unforgiving of errors — a natural fit for orchestrated AI agents. Focused agents extract, verify against tariff, reconcile, and draft appeals under explicit control flow, staying model-agnostic and fully auditable.

    Extraction agent

    Reads authorization and settlement letters into structured, validated fields regardless of insurer format.

    Reconciliation agent

    Maps settled amounts to claim and bill line items and flags every deduction and shortfall.

    Model-agnostic

    Routes to the best model per task and can run within your infrastructure for data governance.

    Auditable by design

    Every extraction and match carries its evidence, so recovery is defensible, not guesswork.

    How Clients Engage

    1

    Assess

    Evaluate current workflows and identify where the platform delivers the most value.

    2

    Design

    Architect a standards-based solution tailored to your clinical or academic reality.

    3

    Implement

    Build and integrate with production systems, with humans in the loop where it matters.

    4

    Scale

    Harden, monitor, and expand across teams, sites, or the full student base.

    Transform Your Healthcare Operations

    Partner with us to ship production-grade healthcare platforms that run in live clinical and revenue environments.

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