MitoWizMitoWiz

AI Workforce for Healthcare RCM

Your AI Workforce for Revenue Cycle Management.

MitoWiz automates every repetitive workflow in payer portals — eligibility, prior authorization, claim status, appeals, payment posting, denial management, referral management, and medical records. You define the rules. We build and run the workers.

The problem

Stop hiring for repetitive work.

Every prior auth, eligibility check, and claim status inquiry means another portal login, another form filled by hand, and custom scripts that break every time a payer updates their UI. MitoWiz gives that time back with AI workers that navigate payer portals end-to-end and adapt automatically — while your team handles only the exceptions.

  • Staff toggling between a dozen payer portals, each with its own login, layout, and quirks

  • Hours on hold with payers just to confirm what a portal already knows

  • The same patient demographics re-keyed into portal after portal

  • Auth windows and filing deadlines missed because follow-up lives in someone’s memory

Workflows

Built for the work that fills your team's day.

Eligibility Verification

Verifies benefits, coverage, and authorization requirements before every visit. Flags if insurance is not active on the date of service.

Prior Authorization

Submits, tracks, and completes authorization requests across payer portals.

Claim Status

Follows up on submitted claims and surfaces status changes in real time.

Appeals

Prepares appeal packages and submits them with supporting documentation.

Payment Posting

Posts ERA/EOB data and updates your practice management system.

Denial Management

Identifies denial patterns and routes cases for resolution.

Referral Management

Manages referral authorization workflows with payers from request to approval.

Medical Records

Collects, uploads, and tracks required documentation across portals and fax/email workflows.

How it works

From connection to completion.

  1. 01

    Tell us your pain

    Which workflows are eating your team’s time? Prior auth, eligibility, claim status, appeals, payment posting, or something else.

  2. 02

    Map your SOP

    We document your exact portal steps, rules, payer mix, and exceptions so the workflow matches how you already work.

  3. 03

    Automate what can be automated

    We build browser-based workflows for the tasks that can be automated, and define clear handoffs for the ones that can’t. No pretending. No overpromising.

  4. 04

    Run & report

    We execute daily and send you structured results — submissions, approvals, denials, pending, and exceptions.

Built for portal changes. When payers update their UI, MitoWiz workers adapt automatically — no broken scripts, no maintenance burden.

Enterprise security

Built for enterprise healthcare.

Security isn't a feature layer — it's how the platform is architected. Every AI worker operates inside controls your compliance team can inspect.

HIPAA-ready architecture

Designed with HIPAA-ready architecture — infrastructure and data handling built around healthcare requirements from day one.

End-to-end encryption

Data is encrypted in transit and at rest across every workflow.

Complete audit trail

Every action an AI worker takes is logged, timestamped, and reviewable.

Role-based access

Granular permissions control exactly who can view and act on what.

Outcomes

Scale operations, not headcount.

Increase operational capacity

Process more prior auths, eligibility checks, and claims without proportionally more staff.

Reduce repetitive manual work

Free your team from payer portal navigation, hold queues, and manual status checks.

Improve turnaround times

AI workers run continuously — nights, weekends, and holidays included.

Scale without expanding headcount

Absorb volume growth and seasonal spikes without a hiring cycle.

Ready to scale your revenue cycle team?

Talk with MitoWiz about automating repetitive payer portal work across your revenue cycle. We’ll review your current workflow and identify where an AI worker can reduce manual follow-up.