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AI Automation Services for Healthcare

Automation runs the workflow. A dedicated specialist handles judgment calls. HIPAA-compliant automation for medical, dental, pharmacy, veterinary, eye care, and home care practices, paired with a healthcare-trained specialist on every account. Built for single-location practices through 500-provider health systems. AI voice from $0.25 per minute, dedicated FTE from $399 per week.

AI Voice Receptionist • Eligibility Verification • Prior Authorization • Claim Submission
HIPAA-secure AI 4.9 ★★★★★ Google Rating
HIPAA-compliant hybrid AI virtual medical assistants

How Staffingly AI automation runs a real practice workflow. Our staff work from secured facilities in India, Pakistan, and Bangladesh.

Intake, eligibility, scheduling, prior auth, and claims, with a healthcare-trained specialist on exceptions for 800+ providers nationwide.

Trusted 800+ Providers HIPAA SOC 2 Type II BAA Signed $5M Insured MGMA 2026 Corporate Member
0+
Providers Served
0+
Concurrent AI Calls
0%
EV/PA Accuracy
24/7
Front Office Coverage
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Tell us your practice. We’ll map your AI automation plan in 24 hours.

Single specialty or multi-site? Voice intake, eligibility, or full RCM? Send us your situation and we map the right AI plus FTE mix.

Quick Answer

What Is Healthcare AI Automation?

Healthcare AI automation is the use of voice AI, large language models, workflow engines, and browser automation to handle administrative work like patient intake, insurance eligibility verification, prior authorization, scheduling, and claim submission.

Staffingly runs voice AI for inbound and outbound calls, n8n for workflow automation, Amazon Bedrock for LLM reasoning, and an on-premise local LLM option for HIPAA-sensitive inference, all hosted on HIPAA-compliant infrastructure with full BAA coverage. AI handles the volume; a healthcare-trained specialist handles exceptions and judgment calls.

It works across every healthcare vertical, from medical, dental, and veterinary to pharmacy, eye care, home care, ambulatory surgery, and hospice. It pairs naturally with our virtual medical assistants for the work that still needs a human. You can toggle the AI on or off with a phased 6-week rollout and a manual fallback in minutes.

HIPAA + BAA day 1 AI engine + human safety net Inside your EMR
What our AI automation handles

AI automation runs your prior authorizations, eligibility checks, and patient calls.

A healthcare-trained specialist on every account handles the work that needs human judgment. ROI shows up in three places: throughput per FTE, denial rates, and time-to-decision on prior authorizations. Built for solo practices through 500-provider networks, DSOs, MSOs, and PE-backed groups.

~80%
routine work absorbed

The workflow engine covers the repeating items: intake, eligibility, scheduling, claim scrubbing. Your specialist focuses on judgment calls.

<10 min
prior auth drafting

Standard prior authorizations are drafted, criteria-attached, and submitted in under ten minutes in our deployments. Complex cases route to a licensed pharmacist.

96-97%
eligibility check accuracy

Internal batch eligibility runs against active payer portals have averaged 96 to 97 percent accuracy. Variance reflects payer response inconsistency, not the workflow itself.

50+
concurrent voice calls

A single voice deployment has handled more than fifty simultaneous patient calls in pilot testing without queuing or call drops.

Figures reflect internal pilot deployments and current operational metrics. Outcomes vary by specialty, EMR, payer mix, and patient volume. Final results during your pilot are committed in writing during your discovery call.

Flagship offer

Automation runs the workflow. A dedicated specialist handles judgment calls.

What’s the cost? Pricing varies. Starts at $0.25 per minute for AI voice, $399 per week for the dedicated FTE, plus a one-time setup fee based on EMR integrations and other workflows. See pricing page →

  • AI is the engine. Voice intake, eligibility verification, scheduling, prior auth, claim scrubbing, denial routing all run autonomously.
  • FTE is the safety net. Exceptions, escalations, clinical judgment, payer phone calls handled by a healthcare-trained human.
  • Toggle AI on or off. Phased 6-week rollout. Manual fallback in minutes if you ever need it.
  • 2-week risk-free pilot. Cancel inside the trial window with no charge.
Most chosen

AI-First + 1 Backup FTE

AI Voice Bot cost
From $ 0.25 /minute
+
Dedicated FTE
$399 /week
This is where pricing starts. Everything else (eligibility verification, prior authorization, claim scrubbing, additional EMR integrations, language packs, multi-location) layers on top.

AI automation runs the workflow. A healthcare-trained FTE handles exceptions and judgment calls. Designed to do the work of a 4-person admin team.

Pricing varies. Starts at $0.25 per minute for AI voice, $399 per week for the dedicated FTE, plus a one-time setup fee based on EMR integrations and other workflows. See pricing page →
  • AI voice receptionist (50+ concurrent calls)
  • AI eligibility verification across payer portals
  • AI prior authorization with pharmacist review
  • AI intake and scheduling bot
  • AI claim scrubbing and denial routing
  • 1 dedicated healthcare-trained FTE for exceptions
  • EMR integration (15+ systems)
  • HIPAA + SOC 2 + HITRUST CSF aligned + ISO 27001 + BAA
  • Remote specialists work from SOC 2 audited delivery centers

Pricing varies by deployment. AI voice minutes start at $0.25 per minute and the dedicated healthcare-trained FTE is $399 per week, plus a one-time setup fee for EMR integration, prompt configuration, language packs, and workflow tuning. Final price scales with call volume, EMR setup, and number of integrations.

For Larger Organizations

Enterprise & Multi-Location: Custom AI Deployments

Network-wide AI automation, dedicated account teams, and volume terms for MSOs, hospital groups, FQHCs, and multi-location organizations.

How AI handles your front desk and back office

How the platform handles your administrative workflow, step by step

From the moment a patient calls to the moment the claim clears your clearinghouse. The automation layer covers the repetitive steps. A licensed clinical specialist reviews escalations and any item that falls outside confidence thresholds. Most practices see the platform absorb roughly 80 percent of routine work, with the remaining items routed for human review.

1

Intake

AI captures demographics, insurance card, chief complaint. Voice or web form. Handles 50+ concurrent.

2

Schedule

AI books the slot in AdvancedMD, NextGen, athenahealth, eCW. Sends SMS plus email reminders.

3

Eligibility

n8n pulls live coverage from active payer portals. 48 to 72 hours before visit and at check-in.

4

Consult

AI drafts visit summary, captures orders, pulls clinical criteria for any PAs the visit triggers.

5

Prior Auth

Bedrock drafts the PA, attaches criteria, pharmacist reviews complex cases. CMS-0057-F ready.

6
$

Claim

Pre-submission scrub against payer rules. Cleaner claims sent to clearinghouse, fewer denials.

10 AI services we ship in production

Where automation has been deployed, by workflow

Each workflow below is currently deployed across our client book. Open any one to read the operational walkthrough, the integration list, and the demo simulator tuned to your specialty.

See live demos
01

AI Voice Receptionist for Healthcare

A voice automation agent that handles intake, triage, scheduling, and billing FAQ deflection. Calls warm-transfer to a live representative whenever the conversation moves outside the agent’s confidence range.

AI VoiceLive DemoRingCentral50+ concurrent
Read the workflow
02

AI Insurance Eligibility Verification

Workflow automation built on n8n, running batch checks across active payer portals. Hundreds of checks per week per pilot deployment, with observed efficiency in the 96 to 97 percent range. Throughput depends on payer response times.

AI EVLive Demon8nMulti-payer
Read the workflow
03

AI Prior Authorization Automation

A workflow that extracts clinical criteria from chart data, drafts the submission, and routes complex cases like chemotherapy and biologics for licensed pharmacist review before payer submission. Internal pilot data shows approval rates in the 93 to 97 percent range. Outcomes vary by payer and case mix.

AI PALive DemoBedrockCMS-0057-F ready
Read the workflow
04

AI Patient Intake and Scheduling Bot

A scheduling and patient-reactivation workflow with chat, voice, SMS, and email channels, integrated with AdvancedMD, NextGen, athenahealth, and eClinicalWorks. Designed to recover bookings from existing patient databases.

AI SchedulingLive DemoMulti-EMRMultilingual
Read the workflow
05

AI Document and Fax Processing

A document-processing pipeline that handles HL7 ADT messages, faxes, handwritten notes, and EMR data. Pharmacy pilot deployments ingest approximately 50,000 messages per month into structured records. Volume varies by facility size and message mix.

AI NLPLive DemoOCRHL7
Read the workflow
06

LTC Pharmacy Census and Payer Change Automation

A hybrid pipeline using 60 to 65 percent browser RPA and 35 to 40 percent NLP processing. Internal pilot scope targets 80 percent automation and 97 percent accuracy, with the engagement designed to consolidate the team from 27 FTEs to 5. Final figures depend on facility volume and exception rate.

AI + RPALive DemoFrameworkLTCPCC
Read the workflow
07

Custom AI Workflows by Specialty

Workflows are tuned per specialty for volume, payer mix, and clinical rules. Active deployments include dermatology, psychiatry, neurology, urgent care, home care, and surgical scheduling.

Custom AIBy specialtyCross-vertical
Read the workflow
08

AI-Augmented Virtual Medical Assistants

A dedicated remote specialist working alongside automation that handles chart prep, intake summaries, and prior authorization drafting. Integrations available for athenahealth, eClinicalWorks, NextGen, and AdvancedMD.

AI + HumanLive DemoMulti-EMR
Read the workflow
09

HIPAA-Compliant On-Premise AI for PHI Workflows

An on-premise local LLM option for clients whose policies require PHI to remain inside the network. HIPAA-compliant hosting with the 18-identifier Safe Harbor de-identification standard applied to any data crossing system boundaries.

On-prem AILocal LLMSafe Harbor
Read the architecture
10

AI Denial Management and Appeal Drafting

A workflow that drafts first-pass appeal letters from denial reason codes and routes the case to the appropriate specialist. Standard six-week phased deployment, with revert-to-manual available throughout.

AI AppealsLive DemoBedrock
Read the workflow
Try a live AI bot for your practice type

Try the simulator tuned to your specialty

Each simulator runs an automation agent configured for your practice type, alongside a full walkthrough of how intake, eligibility, scheduling, prior authorization, and claim submission run inside an actual deployment. No login required. Numbers shown are illustrative pilot data, not guaranteed outcomes.

The AI we actually run in production

The systems behind the platform, in plain language

Most healthcare automation vendors keep their architecture vague. We publish ours so your security and compliance teams can review what runs against your data. Every layer described here is in active deployment across our client book. If your IT or InfoSec team needs an architecture diagram, BAA, SOC 2 attestation, or vendor security questionnaire, we send those over the same business day under NDA.

HIPAA + BAAEvery vendor in the stack carries a signed BAA
Toggle on or offManual fallback at any phase, anytime
On-prem optionLocal LLM for PHI residency
EMR-agnosticAPI where available, browser RPA where it isn’t
Voice AI LayerSub-second response, BAA included
VOICE
n8n self-hostedWorkflow automation on HIPAA cloud
FLOWS
Amazon BedrockLLM reasoning for PA criteria and appeals
LLM
Local LLM (on-prem)Local inference for PHI-strict deployments
ON-PREM
Browser RPAHeadless automation for payer portals without APIs
RPA
HIPAA Hosting + MiddlewareHealthcare-grade infrastructure with EMR bridges
INFRA
Real specialty deployments

Where the platform is running today, by specialty

Production deployments by practice type. Client names omitted to protect privacy. Figures reflect internal pilot and operational metrics for the deployments described and are verifiable under NDA on request. Outcomes vary by specialty, payer mix, and patient volume.

01 VOICE AI

Multi-Location Clinic

LTC plus outpatient clinic, southern US

A voice automation deployment integrated with AdvancedMD scheduling and RingCentral call routing. The system handles greeting, triage, language switching, billing FAQ deflection, and warm transfer to live staff when the call requires human judgment. Concurrency figure is from internal pilot testing.

50+
Concurrent calls
6 wk
Phased rollout
Voice AIAdvancedMDRingCentral
02 PHARMACY AI

National LTC Pharmacy

Specialty pharmacy serving 17 states

A pharmacy census and payer change automation deployment combining browser-based RPA (roughly 60 to 65 percent of touches) with NLP-driven document processing (the remaining 35 to 40 percent). The pipeline ingests HL7 ADT messages, faxes, handwritten notes, and EMR data. Inference runs on-premise to keep PHI within the client network. FTE consolidation figure is the projected target stated in the engagement scope.

$1M+
Projected savings
27 to 5
FTE reduction
FrameworkLTCPCCNJMMISLocal LLM
03 PSYCHIATRY AI

Multi-Provider Psychiatry

Outpatient psychiatry practice

An overflow voice deployment paired with eligibility verification automation across ten active payer portals. Document review is run as a hybrid workflow with the platform drafting and a clinical specialist approving. The rollout followed our standard six-week phased pattern. EV throughput reflects the engagement’s observed weekly volume.

10
Active payer portals
350
EV checks per week
n8nHIPAA hostingBedrock
04 PA AI

Internal PA Pilot

Browser extension PA tooling

An internal pilot using a Microsoft Copilot browser extension paired with a clinical criteria extraction model, tested on complex chemotherapy and biologic prior authorization cases. The workflow runs inside the EMR with a one-click submission step. Approval rate movement is observed during the pilot and is not a guarantee of outcomes for other practices.

93 to 97
PA approval %
Pilot
Now scaling
BedrockCopilotBrowser extension
05 SURGERY AI

Surgical Scheduling Group

California-based surgical scheduling

A payer-specific prior authorization dashboard with automated patient notifications. The system surfaces missing documentation before the submission goes to the payer, reducing the chance that a surgery date is lost to an avoidable denial. Accuracy metric reflects internal review of submitted PAs.

~95%
PA/EV accuracy
Real-time
Patient notifications
n8nRPACustom dashboard
06 URGENT CARE AI

Urgent Care Network

Multi-location urgent care, NextGen-based

A multi-channel patient reactivation deployment using chat, voice, SMS, and email against an existing patient database. The system integrates with NextGen for booking. Post-visit follow-ups feed a review reactivation workflow. Channel counts reflect the engagement’s scope, not a benchmark for other practices.

4 ch
Channel automation
NextGen
EMR booking
ChatbotNextGenSMS/Email
ENTERPRISE AI AUTOMATION

AI automation services for health systems and enterprise networks

01

Centralized AI Prior Authorization

Network-wide PA automation across hospital systems, MSOs, and PE-backed groups. Bedrock-driven criteria extraction, payer-policy lookup, and pharmacist review for chemo, biologics, and surgical pre-auths. CMS-0057-F API ready.

02

Enterprise Eligibility Verification

Batch eligibility checks across every active payer portal, run nightly or in real time at check-in. Coverage discovery for self-pay, secondary, and tertiary. Standardized for single locations through 500+ provider networks.

03

AI Voice Receptionist at Scale

Voice automation deployed across multi-location urgent care networks, DSOs, and telehealth groups. Multilingual intake, scheduling, billing FAQ deflection, after-hours overflow, warm transfer to live staff when judgment is required.

04

Network-Wide Credentialing Automation

Centralized credentialing, CAQH attestation, payer enrollment, primary source verification across hospital systems and ambulatory networks. Re-credentialing alerts, sanctions monitoring, hospital privileging workflows.

05

AI Denial Management & Appeals

Auto-categorized denials routed by reason code and payer. First-pass appeal letter drafting using Bedrock against the payer’s actual medical policy. Denial analytics rollup for hospital CFOs and RCM directors.

06

Cross-Portfolio RCM Automation

End-to-end revenue cycle automation for PE-backed roll-ups and MSOs. Charge capture, coding QA, claim scrubbing, AR workdown, payment posting. Standardized KPIs across acquired practices and EMRs.

07

LTC Pharmacy Census Automation

Census and payer change automation for LTC pharmacy chains. Multi-source NLP for HL7 ADT, faxes, handwritten notes, and EMR data. On-premise local LLM for HIPAA-strict facilities. PBM coordination and cycle fill.

08

Multi-State Telehealth Automation

Virtual visit scheduling, telehealth billing, multi-state licensure tracking, asynchronous-care intake. Built for telehealth networks operating across state lines with payer mix variability.

09

AI Coding & CDI Support

CPT, ICD-10, HCPCS, DRG, HCC, modifier audit, and risk adjustment coding automation. Clinical documentation improvement support for hospital systems and IDNs. Pre-bill audit before claim submission.

10

FQHC & Home Health Automation

FQHC/RHC billing with HRSA compliance, sliding fee scale, HEDIS tracking, UDS reporting. Home health and hospice OASIS documentation, hospice election forms, care plan automation.

11

Imaging & Diagnostic PA

Diagnostic imaging prior authorization for radiology networks, ASCs, and surgical groups. Teleradiology workflow, pathology coding, MRI/CT/PET PA automation, payer-specific approval criteria libraries.

12

White-Label AI Platform Deployment

Run our AI automation platform under your brand. API access, custom domain, branded patient-facing surfaces, dedicated infrastructure, your logos on every voice prompt and SMS confirmation.

INNOVATION

How automation supports your administrative team

The platform pairs workflow automation with a dedicated clinical operations specialist. Routing, eligibility checks, and tracking happen in real time on the system. The specialist owns escalations, payer phone calls, and any item where clinical judgment is required.

Auto-categorization

Inbound calls, faxes, and portal messages are classified by type, urgency, and the next required action so they reach the right queue immediately.

Exception handling

Edge cases are flagged for licensed pharmacist or supervisor review before any submission goes out.

Throughput

Workload distribution across team members and shifts is monitored so no queue backs up unnoticed during high-volume hours.

Compliance monitoring

HIPAA and regulatory checks run on every workflow with a full audit trail per touch, supporting payer audits and internal compliance review.

Regulatory tailwind

CMS-0057-F is forcing payers to move. Get ahead of it.

The Interoperability and Prior Authorization Final Rule forces impacted payers into 7-day standard prior auth decisions and 72-hour urgent decisions. Full Prior Authorization API requirements take effect January 1, 2027. CMS estimates the rule generates approximately $15 billion in estimated savings over 10 years, mainly for providers. The WISeR Innovation Model goes further. Under the WISeR Innovation Model, CMS will run automated pre-certification screening on traditional Medicare in six pilot states from January 2026 through December 2031.

Practices that begin automating prior authorization workflows now will be positioned to plug into payer APIs the moment they go live. Practices that wait still owe the same response SLAs to their patients and providers.

WISeR Pilot States (Jan 2026 – Dec 2031)

New JerseyOhioOklahomaTexasArizonaWashington

The Rule, In Plain English

1
7 calendar days for standard PAImpacted payers must decide standard PAs within 7 days.
2
72 hours for urgent PAUrgent prior auth requests must be decided within 72 hours.
3
PA API requirements Jan 1, 2027Full Prior Authorization API requirements go live for impacted payers.
4
$15B in projected industry savingsOver 10 years per CMS estimates, mostly returning to providers.
5
3 of 4 plans already use AI for PAProvider-side AI is no longer optional if you want parity.
How we deploy

6-week phased rollout. Toggle off anytime.

No big-bang launches. Every deployment runs in three phases so your team builds trust with the system, validates outcomes against existing baselines, and confirms confidence thresholds before any patient-facing automation goes live.

1
Silent ObserverWeeks 1-2

The platform observes, your team continues working as usual

The system is deployed but kept inactive. It shadows your team on real patient interactions, capturing transcripts that are PHI-masked per the HIPAA Safe Harbor de-identification standard. The captured data is used to tune confidence thresholds and prompts for your specific specialty before any live cutover.

  • Zero patient impact during phase
  • HIPAA-safe transcript capture
  • Custom prompt tuning per workflow
2
Assisted ModeWeeks 3-4

The platform drafts, your team approves

The system drafts every response, eligibility result, and prior authorization submission. A human approves each item before it goes out. A confidence score shown alongside each draft tells your team where the platform is reliable for the workflow type and where human review should continue.

  • Human approval on every action
  • Confidence score per touch
  • Flag-and-escalate built in
3
Supervised AutonomousWeeks 5-6+

Routine items run automatically, exceptions are routed for review

High-confidence routine items continue automatically. Anything that scores below the threshold for that workflow queues for licensed pharmacist or supervisor review. You can roll back to phase two or to fully manual operation at any time without contract penalty.

  • Autonomous on routine, human on exceptions
  • Real-time accuracy dashboard
  • Toggle on or off, anytime
FAQs answered the way auditors expect

Healthcare AI questions without the marketing fluff

Answers below cite specific regulations, vendors, and our own deployments. If your compliance team wants a longer answer with the relevant CFR section or our SOC 2 attestation, we send those over the same business day.

Talk to a Specialist
Healthcare AI automation is the use of voice AI, large language models, workflow engines, and browser automation to handle administrative work like patient intake, insurance eligibility verification, prior authorization, scheduling, and claim submission. Staffingly runs voice AI for inbound and outbound calls, n8n for workflow automation, Amazon Bedrock for LLM reasoning, and on-premise local LLM for HIPAA-sensitive inference. All hosted on HIPAA-compliant infrastructure with full BAA coverage.
Only when the AI provider has a signed Business Associate Agreement, follows the 18 HIPAA identifiers under 45 CFR 164.514(b)(2), and operates inside SOC 2 Type II, HITRUST CSF aligned, or equivalent controls. Staffingly carries SOC 2 Type II, HITRUST CSF aligned, ISO 27001, and HIPAA. We also offer on-premise local LLM deployment so PHI never leaves your network for clients with stricter data residency requirements.
AI-assisted PA typically pulls clinical criteria, drafts the submission, and submits to the payer portal in under 10 minutes for standard cases. Manual pre-auth averages 13 hours per provider per week per the 2024 AMA Prior Authorization Physician Survey. CMS estimates the administrative cost at approximately $34,000 per provider per year. Staffingly’s hybrid model combines AI submission with licensed pharmacist review on complex cases like chemotherapy or biologics.
Yes. Our eligibility verification automation runs across active payer portals achieving 96 to 97 percent efficiency on routine batch checks. AI handles the volume. Humans handle the exceptions where coverage is ambiguous or the payer portal requires escalation.
Our production voice AI has demonstrated handling more than 50 simultaneous patient calls in a single test session. The bot greets, triages, books appointments, answers billing FAQs, and routes calls to live staff when judgment is required. It integrates with AdvancedMD, NextGen, eClinicalWorks, athenahealth, and RingCentral.
It works across every healthcare vertical. Staffingly delivers AI automation for medical, dental, veterinary, pharmacy, eye care, home care, ambulatory surgery, and hospice practices. Try the practice-specific live demo on this page to see the workflow tuned to your specialty before you commit.
CMS-0057-F is the Interoperability and Prior Authorization Final Rule. It forces impacted payers to decide standard PAs within 7 calendar days and urgent ones within 72 hours. Full Prior Authorization API requirements take effect January 1, 2027. CMS estimates the rule will generate approximately $15 billion in estimated savings over 10 years, mainly for providers.
Yes. Every Staffingly AI deployment ships with a manual toggle on or off and a 6-week phased rollout. Phase one runs the AI in silent observer mode shadowing your existing team. Phase two switches to assisted mode where the AI drafts and a human approves. Phase three goes supervised autonomous. You can revert to manual within minutes.
Pricing varies by deployment. AI voice minutes start at $0.25 per minute. The dedicated healthcare-trained FTE is $399 per week. A one-time setup fee covers EMR integration, prompt configuration, language pack setup, and workflow tuning. Final price scales with your call volume, EMR setup, and number of integrations. Use our pricing calculator to estimate your number, or book a 45-minute discovery call. All clients get a 2-week risk-free pilot.
Production integrations include AdvancedMD, NextGen, athenahealth, eClinicalWorks, Allscripts, Cerner (Oracle Health) (Oracle Health), Practice Fusion, Epic, FrameworkLTC, PointClickCare, Availity, RingCentral, HubSpot, and middleware bridges. Where an API is unavailable, our team uses HIPAA-compliant browser RPA so the AI can still log in and do the work.

See AI run your real workflow. Free 45-minute call.

On the first call we walk through your specialty, EMR, and payer mix. By the second call we show a working configuration tuned to your practice. If the prototype is not useful enough to justify a follow-up, you walk away with no obligation.

2-Week Risk-Free Pilot BAA included SOC 2 Type II report on request Toggle off anytime
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