AI Engineered for the Operations That Care Demands.

Production AI systems for patient operations, clinical workflows, and revenue cycle, built within HIPAA and HITRUST boundaries from day one.

INTELLIGENCE_CORE_V2.1
[1] Data IngestionScanning Pipeline...
[2] Neural ExtractionProcessing Models
[3] Validation CheckVerified

SUCCESS: Architecture deployed. Payload structure matches schema bounds exactly.

85%

faster patient intake

$2.4M

average annual administrative savings

HIPAA

+ HITRUST + SOC 2 posture

95%

document processing accuracy

01
Intelligence Readout

Healthcare operations are running into a structural reality: clinical staff shortages compound while patient volumes rise, and the administrative tasks consuming clinical time multiply faster than headcount can absorb. Margins compress simultaneously, with payer mix shifts and value-based care pressuring the unit economics of every patient encounter. The organizations responding are doing it on operational infrastructure that compresses overhead while protecting clinical quality. AI infrastructure becomes the way healthcare absorbs structural pressure while preserving the standards patients and regulators expect.

SYSTEM SECURE

Every Total Sync system in healthcare operates within HIPAA, HITRUST, and SOC 2 frameworks. We sign Business Associate Agreements, support customer-managed encryption keys, implement role-based access controls aligned with your existing permissions, and provide complete audit trails for every system action. PHI flows through controlled paths with documented retention policies. The compliance posture is production-grade from day one, with engineering discipline calibrated to the standards healthcare patients and regulators expect.

E2E Encrypted
Isolated Nodes

Deploying autonomous infrastructure across the most demanding enterprise environments.

Multi-site operations with complex revenue cycle and clinical workflows

Outpatient practices and specialty groups operating at high patient volume

Member servicing, claims operations, and care management workflows

RCM operators serving providers across the care continuum

Clinical trial operations and commercial workflows

Telehealth, remote monitoring, and patient engagement operators

We deploy autonomous agents across your core operational workflows.

Intake, registration, scheduling, and communication workflows. AI compresses cycle times and removes friction from the moments that shape patient trust.

Documentation, decision support, and knowledge access for clinicians. AI returns time to clinical staff and surfaces context at the point of care.

Eligibility, prior authorization, charge capture, and denial management. AI compresses days-to-cash and reduces administrative leakage at every step.

Clinical documentation search, policy intelligence, and audit trail management. AI turns fragmented documentation into queryable institutional memory.

  • Days in AR (DSO) compression
  • First-pass clean claim rate
  • Denial rate reduction and recovery
  • Patient no-show rate
  • Administrative cost per encounter
  • Time-to-cash on patient responsibility
  • Prior authorization cycle time
  • Documentation completeness scores
  • Days in AR (DSO) compression
  • First-pass clean claim rate
  • Denial rate reduction and recovery
  • Patient no-show rate
  • Administrative cost per encounter
  • Time-to-cash on patient responsibility
  • Prior authorization cycle time
  • Documentation completeness scores
  • Days in AR (DSO) compression
  • First-pass clean claim rate
  • Denial rate reduction and recovery
  • Patient no-show rate
  • Administrative cost per encounter
  • Time-to-cash on patient responsibility
  • Prior authorization cycle time
  • Documentation completeness scores
  • Days in AR (DSO) compression
    First-pass clean claim rate
    Denial rate reduction and recovery
    Patient no-show rate
    Administrative cost per encounter
    Time-to-cash on patient responsibility
    Prior authorization cycle time
    Documentation completeness scores
    Days in AR (DSO) compression
    First-pass clean claim rate
    Denial rate reduction and recovery
    Patient no-show rate
    Administrative cost per encounter
    Time-to-cash on patient responsibility
    Prior authorization cycle time
    Documentation completeness scores
    Days in AR (DSO) compression
    First-pass clean claim rate
    Denial rate reduction and recovery
    Patient no-show rate
    Administrative cost per encounter
    Time-to-cash on patient responsibility
    Prior authorization cycle time
    Documentation completeness scores

    A definitive look at the impact of autonomous operations.

    Context

    A regional health network operating 6 hospitals and 40+ ambulatory clinics, with centralized revenue cycle operations.

    The Challenge

    Patient intake taking 3+ days from first contact to scheduled visit, with insurance verification cycles introducing the longest delays. The bottleneck affected appointment availability, denied claims volume, and patient satisfaction simultaneously.

    What We Built

    An automated intake pipeline combining document processing, real-time eligibility verification, and AI voice agents for outbound confirmation. Integrated with Epic and the network’s downstream RCM platforms.

    85% reduction in intake-to-visit cycle time (3 days to 4 hours)
    $2.4M annual administrative cost reduction
    40% reduction in first-pass denials

    "“Total Sync compressed our patient intake from three days to three hours. The accuracy gains alone justified the investment, and the compliance posture was production-grade from day one.”"

    Chief Medical Officer, Regional Health Network

    The typical Total Sync healthcare engagement begins with patient intake and insurance verification automation. The workflow is well-defined, the integration scope is bounded, and the financial outcomes are measurable within the first month of production. Most healthcare clients move from there into prior authorization automation, then into the broader revenue cycle stack. This sequencing delivers measurable ROI within 8 to 12 weeks and builds operational confidence in AI infrastructure before expanding into clinical decision support.

    1

    Map workflows and identify constraints.

    2

    Architect agent roles and guardrails.

    3

    Launch with full audit trails.

    Schedule a discovery call to map your administrative workload, clinical workflows, and compliance posture. We will recommend the starting playbook that delivers the strongest outcomes for your organization.