Healthcare clinical leaders and medical team reviewing patient cases and operational metrics

AI-Powered Healthcare Transformation Intelligence Platform.

Averqentra AI guides healthcare consulting firms, hospital transformation teams, and healthcare executives from Evidence → Analysis → Recommendation → Execution → Measurable Outcome. Sitting above legacy EHR, HIS, and ERP systems, it orchestrates end-to-end transformation.

Practice LeaderEngagement ExecutiveTransformation DirectorBuilt for healthcare transformation leaders
the executive dashboardtransformation command center

Executive Command Center For Healthcare Transformation.

The Averqentra AI Executive Dashboard anchors your healthcare transformation engagements. It connects live executive KPIs, patient flow unit heatmaps, AI discharge forecasts, and evidence confidence scores into one unified command center.

Averqentra AI - Executive Command Center Dashboard
31.6%
discharge before noon
+11.8 pts improvement toward 34.0% target
5.2 days
average length of stay
0.5 days lower than baseline (target gap 0.1d)
$1.84M
validated benefit
87.6% of expected $2.10M annualized value
100%
evidence lineage
complete traceability from dataset to verified outcome
The Nestack healthcare suite

Built for every corner of modern healthcare.

Healthcare moves differently in every care setting, with unique clinical teams, patient journeys, documentation standards, and regulatory frameworks. Your intelligence platform should be purpose-built to work the way your care specialty operates.

The Operational Modules

Evidence to outcomes, orchestrated in one platform.

What follows are real screens from Averqentra AI - tracking healthcare transformation from evidence collection and diagnostic root cause analysis to frontline execution and verified financial realization.

Averqentra AI - Engagement module
Engagement01 / 07

The operational setup and control record.

Engagement defines the operational foundation for healthcare consulting initiatives. It establishes active workstreams (Patient Flow, Workforce, Revenue Cycle), locks baseline KPI targets against future goals, manages formal data request lifecycles (Requested → Received → Validating → Accepted / Rejected), and enforces clear governance decision rights.

  • workstream scope
  • baseline kpis
  • data request lifecycle
  • governance matrix
Averqentra AI - Evidence module
Evidence02 / 07

Structured evidence intake with 100% source lineage.

Evidence converts unstructured clinical documents, EHR extracts, staffing rosters, and payer contracts into trusted, structured data. Featuring a 3-pane Document Inspector, it retains end-to-end lineage from original file page and cell to final extraction confidence while automatically validating data quality and masking PHI.

  • structured extraction
  • source lineage
  • data validation
  • sensitive data masking
Averqentra AI - Analysis module
Analysis03 / 07

Healthcare KPI engine & root cause matrix.

Analysis answers what is happening, where, and why across health systems down to facility, service line, and department levels. The Root Cause Matrix links KPI variances directly to underlying clinical records and AI diagnostics, distinguishing true operational bottlenecks from random variation.

  • kpi registry
  • drilldown analytics
  • cohort comparison
  • root cause matrix
Averqentra AI - Recommendations module
Recommendations04 / 07

Evidence-backed operational interventions.

Recommendations converts diagnostic findings into concrete operational interventions (e.g. 08:30 Multidisciplinary Discharge-Readiness Huddle). Every recommendation explicitly details the finding addressed, target KPI improvements, scenario modeling, implementation risks, dependencies, and linked source evidence.

  • finding addressed
  • proposed intervention
  • target kpi
  • scenario modeling
  • linked evidence
Averqentra AI - Delivery module
Delivery05 / 07

Turn approved recommendations into implemented change.

Delivery provides a real-time PMO board tracking approved initiatives across Planned, Active, At Risk, Validation, and Complete states. It assigns explicit operational owners, tracks prerequisite milestone dependencies, flags schedule risks via AI Delivery Intelligence, and verifies completion proof before closing out tasks.

  • initiative kanban
  • assigned owners
  • milestone tracking
  • dependency risks
  • ai delivery risk
Averqentra AI - Outcomes module
Outcomes06 / 07

Verify realized financial and operational benefit.

Outcomes evaluates baseline vs. target vs. current performance across defined post-implementation measurement windows. It features an inline AI Attribution Check to evaluate potential confounders (e.g., patient census shifts) before certifying realized value ($1.84M) into Verified, Partially Verified, or Pending states.

  • outcome matrix
  • baseline vs target
  • realized benefit
  • attribution check
  • sustainability monitoring
Averqentra AI - Assurance module
Assurance07 / 07

Complete governance, traceability & auditability.

Assurance delivers complete compliance governance across all transformation activities. The 3-pane workspace links regulatory and policy requirements directly to authentic source documents, mapped policies, evidence artifacts, identified gaps, and remediation verification with full audit trails and RBAC controls.

  • requirement mapping
  • policy inspector
  • ai evidence check
  • gap remediation
  • audit trail
how it works

A seamless workflow, from evidence to verified value. 

Healthcare transformation moves across evidence collection, diagnostic root cause analysis, intervention planning, and frontline delivery. Averqentra AI unites every step into an integrated, evidence-backed workflow - ensuring insights flow smoothly from diagnostic analysis to verified financial realization.

  1. step one

    Evidence Intake & Automated Data Processing

    Raw healthcare datasets (ADT, census, staffing rosters, claims extracts, policies) are ingested into the platform. Averqentra AI classifies, validates, and extracts structured metrics while preserving 100% source lineage down to original file cells and masking sensitive PHI.

  2. step two

    Diagnostic Analysis & Evidence-Backed Interventions

    Transformation leads and analysts evaluate root cause matrices, drilling down to specific facilities and departments (such as East-2 inpatient length of stay). Validated findings automatically generate structured recommendations (e.g. REC-001) complete with target KPIs, effort scores, and scenario modeling.

  3. step three

    Frontline Delivery & Outcome Benefit Verification

    Operational leads execute approved initiatives on real-time PMO delivery boards. Inline AI Delivery Intelligence flags milestone risks before delays occur, while the Outcomes module validates baseline vs target performance across post-implementation measurement windows.

Hospital clinicians collaborating in a modern healthcare facility
Empowering healthcare consulting teams and hospital leaders with evidence-backed operational intelligence.
Traditional SaaS vs Averqentra AI

Multi-model AI orchestration for healthcare.

Traditional software locks you into one model. Averqentra AI places an intelligent orchestration layer between healthcare evidence and multi-model AI, ensuring every transformation step runs on optimal AI infrastructure.

Traditional SaaS / BI
Data → Dashboard
Disconnected tasks & decks

Static charts and disconnected slide decks with no evidence lineage to verified outcomes.

Disconnected execution.

Averqentra AI · Transformation Intelligence Flow
  • 01

    Parse hospital ADT extracts & scanned policy docs

    Layout-aware OCR extracts clinical timestamps, census logs, and policy sections into structured formats.

    MistralDocument AI / OCR
  • 02

    Classify raw datasets into structured evidence

    A fine-tuned classifier categorizes claims, staffing rosters, and census files into validated evidence types.

    Hugging FaceInference Providers
  • 03

    Analyze 12-month patient flow trends across units

    Long context analyzes long-term inpatient throughput, identifying bottlenecks in specific hospital units like East-2.

    GeminiGemini API
  • 04

    Extract structured KPIs into locked registry schema

    Constrained decoding outputs precise KPI metrics (Discharge Before Noon, LOS, Overtime) to prevent schema drift.

    OpenAIResponses API
  • 05

    Draft evidence-backed recommendation & intervention plan

    Constructs actionable interventions (REC-001) citing exact underlying diagnostic findings and target KPI trajectories.

    ClaudeAnthropic Messages API
  • 06

    Run inline AI scope checks & validate data consistency

    Evaluates missing baselines, data request gaps, and validation anomalies across thousands of records in parallel.

    DeepSeekDeepSeek API
  • 07

    Match interventions to CMS CoP & hospital policy guidelines

    Vector embeddings and reranking align operational recommendations directly with regulatory compliance standards.

    CohereRerank + Embed
  • 08

    Mask PHI & blur organizational identities locally

    A self-hosted open model runs inside your VPC, masking patient IDs, MRNs, and manager names before external processing.

    LlamaSelf-hosted in your VPC
Evidence → Verified Outcome100% Lineage · $1.84M Realized Benefit · 0 Unverified Claims

Note: Model and product names are trademarks of their respective owners, used here to describe the multi-model architecture powering Averqentra AI.

Compliance

Built to the rules you are already held to

Senior living & elder care runs on records that have to be exactly right. Averqentra AI is designed around the regimes below - here is what it supports, and what each one actually covers.

  • HIPAA

    Health Insurance Portability and Accountability Act - Privacy & Security Rules (45 CFR Parts 160 & 164)

    Protects healthcare information across evidence intake, clinical data analysis, and execution records; Averqentra AI enforces strict PHI safeguards, role-based access, and immutable audit logs.

    Active in all Averqentra AI modules
  • CMS CoP

    CMS Conditions of Participation & Quality Governance

    Supports hospital throughput compliance, discharge planning standards, and continuous operational improvement verification across healthcare systems.

    Active in all Averqentra AI modules

Note: These are standards the platform is built to support inside your workflows - obligations that fall on you as the licensee. They are not certifications held by us, and support in the product is not a substitute for your own counsel or compliance officer.

Add-ons

Add the hardware your workflow needs.

Most of what Averqentra AI reads still starts on paper, on someone’s desk or at the bedside. These are standard peripherals, not our own hardware - we enrol them against your workspace so each one streams into the module that already handles its output.

  • Sheet-fed resident document & card scanner

    Drop resident IDs, Medicare and Medicaid cards, power of attorney documents, state assessment forms, and paper hospital transfer packets straight into the feeder. Both sides are scanned in one pass and sent directly to the document intake queue for OCR, field extraction, and instant verification - no blurry smartphone photos.

    Feeds Resident Intake & Admissions

  • Cellular & BLE clinical vitals diagnostic hub

    A medical-grade telemetry gateway that pairs seamlessly over Bluetooth with bedside and med-cart peripherals - blood pressure cuffs, pulse oximeters, weight scales, and glucometers - streaming biometric readings onto the Clinical Review timeline with automated threshold alerting.

    Feeds Clinical Review & Vitals Telemetry

Note: Hardware, installation, and integration are not included in the standard subscription. Additional charges apply based on the hardware selected, integration modules required, and implementation scope.

Connectivity

Your whole stack, connected.

Epic Systems, Cerner, PointClickCare, Salesforce Health Cloud, Snowflake - and the rest of what your senior living and healthcare operation already runs on. 24 integrations across the core care modules, every one of them reading the tool’s own public API.

Epic SystemsOracle Health / CernerPointClickCareAthenahealthChange HealthcareSalesforce Health CloudVeeva VaultTwilio HIPAA SMSSendGridVonage TelehealthSlack Care HuddlesMicrosoft TeamsSnowflake Health DataEpic SystemsOracle Health / CernerPointClickCareAthenahealthChange HealthcareSalesforce Health CloudVeeva VaultTwilio HIPAA SMSSendGridVonage TelehealthSlack Care HuddlesMicrosoft TeamsSnowflake Health DataEpic SystemsOracle Health / CernerPointClickCareAthenahealthChange HealthcareSalesforce Health CloudVeeva VaultTwilio HIPAA SMSSendGridVonage TelehealthSlack Care HuddlesMicrosoft TeamsSnowflake Health Data
AWS HealthLakeGoogle BigQueryDatabricksJira SoftwareLinearHubSpot CRMAvaility ClearinghouseDocuSign Life SciencesAzure Health DataTableauPower BIZapierAWS HealthLakeGoogle BigQueryDatabricksJira SoftwareLinearHubSpot CRMAvaility ClearinghouseDocuSign Life SciencesAzure Health DataTableauPower BIZapierAWS HealthLakeGoogle BigQueryDatabricksJira SoftwareLinearHubSpot CRMAvaility ClearinghouseDocuSign Life SciencesAzure Health DataTableauPower BIZapier

Note: Tool names and marks belong to their respective owners. No endorsement or partnership implied.

our prices

Support that fits your health system.

A first conversation is often just that - a conversation. From there it is one plan at one price, whichever healthcare transformation workflows you hand to Averqentra AI. No tiers to decode.

the whole healthcare organization
$200/mo

Starting at $200/mo - every module, billed monthly.

  • dashboard command center
  • engagement & workstream setup
  • structured evidence intake
  • kpi analysis & root cause matrix
  • recommendation builder
  • delivery pmo board
  • outcome benefit verification
  • assurance & compliance audit
Know more

Nothing is locked in. Move at the pace your community moves - change or pause whenever it suits you.

Note: AI API usage is charged separately. Clients must recharge their AI credit balance based on their usage.

onboarding & setup

What your onboarding fee covers

A structured setup that gets your healthcare transformation team fully operational - establishing workstreams, setting locked baseline KPIs, connecting evidence sources, and configuring all 8 Averqentra AI modules.

Essential

$1,000+one-time
  • Kickoff call with engagement executive to map workstreams (Patient Flow, Workforce, Revenue Cycle)
  • Averqentra AI workspace provisioned with role-based access for consultants and client leads
  • Baseline KPI Target Registry configuration (LOS, Discharge Before Noon, Overtime, ED Boarding)
  • Data Request lifecycle management setup (Requested → Received → Validating → Accepted / Rejected)
  • Evidence intake templates configured for ADT extracts, census files, and staffing rosters
  • Live-readiness walkthrough and engagement handbook before launch

Plus

most chosen
$2,500+one-time

Everything in Essential, plus:

  • Guided ingestion and structured extraction of historic clinical & operational datasets
  • Automated evidence lineage tracking from raw file cells to diagnostic Findings
  • Analysis module configuration with custom metric definition formulas and exclusions
  • Recommendation Builder and Scenario Modeling workspace setup (REC-001)
  • Delivery Board (Kanban) workflow integration for initiative execution tracking
  • Dedicated transformation onboarding specialist through project kickoff

Enterprise

$5,000+one-time

Everything in Plus, plus:

  • Multi-facility, multi-tenant deployment across large health system portfolios
  • Custom EHR/HIS/ERP API pipelines, SSO authentication, and HIPAA BAA execution
  • AI Attribution Check model calibration against hospital volume and seasonal confounders
  • Assurance Workspace setup linking policy requirements directly to evidence artifacts
  • Executive reporting export templates and custom KPI registry governance
  • Dedicated engagement manager with committed SLAs and post-launch audit support
deployment architecture

Two deployment options for Averqentra AI - managed cloud or isolated private tenant.

Managed Cloud (SaaS)

Runs in managed cloud infrastructure-the fastest way for healthcare consulting firms and transformation teams to deploy across engagements.

Private Cloud / Self-Hosted

Deployed inside your health system's own infrastructure (AWS, Azure, GCP, or on-prem) with strict tenant isolation, PHI blurring, HIPAA compliance, and custom audit trails.

Sister platform - Nestack Agent Care

Your Healthcare Services AI agents, run like production systems.

Telemetry, evaluations, guardrails, human review, and a crew on call when one of them starts drifting at 3am.

  • 30Failure modes catalogued
  • 12Rated SEV-1
  • 1,950+Baseline eval cases
  • 24/7Agent monitoring

Pinned to the Healthcare Services agent playbook - not a generic agent checklist.

common questions

Your questions. Answered plainly.

Orchestrating healthcare transformation with AI raises important questions. Here are the answers healthcare leaders and consulting partners ask first.

About Averqentra AI
What is included in the Averqentra AI subscription?

Your subscription provides full access to the Averqentra AI platform across all 8 modules (Dashboard, Engagement, Evidence, Analysis, Recommendations, Delivery, Outcomes, and Assurance). We confirm the health systems, workstreams, users, integrations, and support coverage in your proposal.

How is pricing determined for healthcare transformation teams?

Pricing is based on the scale of your healthcare transformation engagements, such as active facilities, workstreams, users, and integration scope. We provide explicit commercial terms upfront rather than charging unexpected fees mid-engagement.

Do we need to replace our current EHR, HIS, or ERP systems?

No. Averqentra AI is not an EHR, HIS, billing platform, or generic project management software. It acts as an intelligence and orchestration layer sitting above your existing EHR, HIS, and ERP systems without requiring a costly rip-and-replace.

How does Averqentra AI handle sensitive patient and client data?

Averqentra AI incorporates automatic PHI detection and identity blurring for names, MRNs, DOBs, and client identities. It maintains strict role-based access control (RBAC), tenant isolation, and immutable audit logging compliant with HIPAA and enterprise healthcare security standards.

How does evidence lineage work within the platform?

Every extracted data point or KPI metric retains immutable lineage back to its original source document, page, section, and cell. This ensures that every recommendation and verified outcome is permanently connected to authentic healthcare evidence.

Does AI make clinical or operational decisions automatically?

No. Averqentra AI provides diagnostic intelligence, inline scope checks, and scenario modeling to assist healthcare leaders. All operational recommendations, initiative approvals, and outcome verifications remain strictly with authorized human leaders.

How are financial benefits validated in the Outcomes module?

The Outcomes module compares baseline, target, and current performance across defined measurement windows. Inline AI attribution checks evaluate potential confounders (such as census fluctuations or seasonal shifts) before certifying financial benefits.

What support and onboarding do consulting firms and hospital teams receive?

We provide dedicated engagement setup, integration configuration, staff onboarding, and ongoing technical support. Your proposal clearly outlines service-level commitments and support channels before purchase.

Didn’t find your answer? Send us a message - we’ll respond with care and clarity.