Dan Nandan is the President and CEO of Staffingly, Inc. With 25+ years across IT consulting, healthcare BPO operations, and AI automation, he was one of the earliest U.S. operators to set up an RPO/BPO delivery network in India over 20 years ago. Today his work centers on production AI deployments inside healthcare practices, hospital systems, and pharmacy networks across North America.
Custom AI Workflows by Specialty
Workflows tuned per specialty for volume, payer mix, and clinical rules. Active deployments include dermatology, psychiatry, neurology, urgent care, home care, and surgical scheduling. Our staff work from secured facilities in India, Pakistan, and Bangladesh.
Tell us your workflow. We’ll project your savings in 24 hours.
Single specialty or multi-site? One workflow or full revenue cycle? Send us your situation. We map the right AI automation mix.
What Is Custom AI Workflows by Specialty?
What are custom AI workflows by specialty? Custom AI workflows by specialty are workflows tuned per specialty for volume, payer mix, clinical rules, and EMR setup. The Staffingly platform runs active deployments across dermatology, psychiatry, neurology, urgent care, home care, and surgical scheduling. Each specialty carries its own intent classifier, payer-rule library, and clinical-rule set. HIPAA-compliant with BAA day one.
Generic automation hits a ceiling fast in specialty practices. A psych intake is not a derm intake. Urgent-care triage logic does not map to home-care visit scheduling. Biologics PA for derm shares almost nothing with controlled-substance refill for psych. The workflow framework supports a base layer (intake, scheduling, eligibility, PA, denials, documents) and a specialty overlay (intent classifier, payer-rule library, clinical-rule set) that captures everything that differs.
Pilot deployments are live in dermatology, psychiatry, neurology, urgent care, home care, surgical scheduling, allergy and immunology, ophthalmology, and cardiology. New specialties are scoped during discovery and built against the same framework.
Most specialty practices pair the custom workflow with AI prior authorization automation, AI-augmented virtual medical assistants, and the AI voice receptionist to cover both the specialty-specific work and the general front-office traffic.
What you need to know about specialty AI workflows
Workflows tuned per specialty. Each specialty carries its own intent classifier, payer-rule library, and clinical-rule set. Generic automation misses the edge cases that specialty workflows are designed to catch.
Pilot deployments are live in dermatology, psychiatry, neurology, urgent care, home care, surgical scheduling, allergy and immunology, ophthalmology, and cardiology. New specialties are scoped during discovery.
Most specialties go live in 14 days. Pharmacist review is included on complex cases including biologics, infusions, controlled substances, and surgical PAs. Toggle on or off any time.
Why does generic AI automation hit a wall in specialty practices?
A psych intake is not a derm intake. Urgent-care triage logic does not map to home-care visit scheduling. Biologics PA for derm shares almost nothing with controlled-substance refill for psych. Generic automation hits a ceiling fast because the rules that matter are specialty-specific. The fix is a base workflow framework plus a specialty overlay: a specialty-specific intent classifier, a payer-rule library tuned for that specialty’s procedures and drugs, and a clinical-rule set that catches the edge cases. Built once per specialty, applied across every client in that specialty.
How is Staffingly’s specialty workflow approach different?
Specialty-Specific Tuning
Intent classifier carries specialty labels. Psych intake versus derm intake versus urgent triage have different shapes. Tuning is built once per specialty and applied across clients.
Payer-Rules Library Per Specialty
Library of payer medical policies, formularies, and step-therapy rules per specialty. Biologics for derm. Infusion protocols for neuro. Specialty drug classes for cardiology.
EMR-Specific RPA
Specialty practices often run niche EMRs. Browser RPA handles the systems with no public API. EMR-direct integration for AdvancedMD, NextGen, athenahealth, eClinicalWorks.
Clinical-Rules Library
Catches edge cases that generic automation would miss. Controlled-substance handling for psych. Biologics holds for derm. Infusion timing for neuro. Surgical clearance for ortho.
Pharmacist Review
Complex cases route to a licensed pharmacist before commit. Routine cases route to a healthcare-trained specialist.
HIPAA Day 1
BAA before kickoff. PHI masked per Safe Harbor. SOC 2 Type II, ISO 27001, HITRUST CSF aligned.
Toggle On or Off Anytime
Manual fallback in minutes. The 6-week phased rollout means there is always a fallback path. Revert any phase to fully manual without contract penalty.
Month-to-Month
Scale up or down with 30-day notice. No long-term contract. Specialty overlay rebuilt or extended as your practice mix changes.
AI + Automation in specialty workflows
Specialty practices have predictable structure inside each specialty. Same payer drug list, same clinical edge cases, same EMR field map. The base framework handles intake, scheduling, eligibility, PA, denials, and documents. The specialty overlay carries the rules that change per specialty.
Intent classifier tuned to the specialty. Psych intake, derm visit, neuro infusion follow-up, urgent triage, home-care visit each have their own label set.
Specialty payer-rule library returns the controlling medical policy, formulary entry, step-therapy rule, and prior failed-therapy requirement for that specialty.
Confidence thresholds differ per specialty. Controlled-substance refill carries a higher threshold than a routine reschedule. Routine cases auto-commit; the rest escalate.
How does the specialty workflow deployment work?
Discovery + specialty audit
Days 1-3. Specialty, panel size, payer mix, top procedures and drugs, EMR, clinical-rule edge cases, current manual workflow audited.
Specialty overlay build
Days 4-10. Intent classifier tuned. Payer-rule library loaded. Clinical-rule library configured. EMR-direct integration or RPA wired up.
Observer mode
Days 11-14. Workflow runs against the live queue but only writes to a shadow record. Output compared to manual processing. Thresholds tuned per specialty.
Assisted mode
Weeks 3-4. Workflow writes, each record reviewed by a specialist or pharmacist before commit. Confidence visible per case. Flag-and-escalate built in.
Supervised autonomous
Weeks 5-6+. High-confidence routine cases auto-commit. Edge cases queue for the pharmacist or specialist. Toggle on or off any time.
Performance tracking
Weekly KPI dashboard. Cases processed, automation rate, edge-case rate, escalation rate, approval and denial breakdown by procedure and drug class.
Pricing varies. Starts at $0.25 per minute of automation time, plus $399 per week for the dedicated FTE, plus a one-time setup fee based on EMR integrations and other workflows. Scope is priced after discovery once specialty rules and payer mix are confirmed. Final scope and pricing confirmed during your discovery call. Numbers shown reflect typical pilot deployments and are not guaranteed outcomes.
What is the cost of a custom specialty workflow?
What does a custom specialty workflow cost? Pricing varies. Starts at $0.25 per minute of automation time, plus $399 per week for the dedicated FTE, plus a one-time setup fee based on EMR integrations and other workflows. Scope is priced after discovery once specialty rules and payer mix are confirmed.
Three things drive the final number: specialty (the overlay build cost depends on whether the specialty is already in our library), EMR integration, and the payer mix. Already-deployed specialties carry no overlay rebuild cost. New specialties carry a one-time overlay build during onboarding.
The pricing calculator gives an initial estimate. Drop in your specialty, weekly volume, and EMR to see a working number before the discovery call.
Where can you deploy specialty workflows?
Active overlays for dermatology, psychiatry, neurology, urgent care, home care, surgical scheduling, allergy and immunology, ophthalmology, and cardiology. New specialties scoped during discovery and built against the same framework.
Specialty practices across California, Texas, Florida, New York, Illinois, New Jersey, and every other state run Staffingly specialty workflows. State-specific clinical-rule edge cases (controlled-substance handling, telehealth eligibility, telemedicine prescribing) are tracked per engagement.
