Delfino AI GTM brain

Delfino AI automates provider-office phone calls to insurers for eligibility, prior authorization and claim follow-up.

category

Healthcare payer call automation

market profile

  • text: Provider administrative teams must call payers for benefits, authorizations and claims, often navigating IVRs and hold times.
  • text: Voice AI vendors are competing for healthcare revenue cycle phone work, including dedicated claim follow-up.

personas

  • title: Revenue cycle director
    pains:
    • Staff capacity is consumed by repetitive payer calls and claim follow-up.
    • Demand fluctuates while hiring and training call staff takes time.
  • title: Prior authorization or benefits verification manager
    pains:
    • Teams spend time navigating phone menus and waiting on hold for eligibility and authorization answers.
    • Turnover can erase knowledge of payer call procedures.
  • title: Medical practice operations manager
    pains:
    • Administrative work diverts staff from higher-value patient and practice tasks.
    • Needs reliable answers to specific patient coverage questions.

icp

  • text: US healthcare provider offices making recurring calls to insurers for eligibility, benefits, authorizations or claims.
  • text: Practices or revenue cycle teams with meaningful call volume and fluctuating support needs; no published size threshold.

message pillars

  • text: Automate the phone work across payer and provider calls.
  • text: Handle phone trees, hold time and live conversations.
  • text: Preserve operational knowledge when staff changes.

objections

  • objection: Will the answers be accurate enough for our workflow?
    response: Pilot representative payer questions and audit returned answers and call quality against staff review.
  • objection: Can patient information be handled securely?
    response: Review the vendor's HIPAA practices and contractual safeguards; its site says it uses Vanta for compliance monitoring.
  • objection: Will it work with our specific payers and call types?
    response: Test the payer mix and eligibility, authorization and claim scenarios in a limited pilot.

competitors

  • name: LunaBill
    website: https://lunabill.com/
    why: AI voice callers automate insurer claim follow-up for healthcare billing teams.
  • name: Infinitus
    why: Listed among AI revenue cycle vendors addressing similar administrative work.
  • name: SUPERDIAL
    why: Listed alongside Delfino among AI revenue cycle vendors.

keywords

  • payer call automation
  • insurance eligibility verification AI
  • prior authorization status calls
  • claims follow up automation
  • healthcare revenue cycle voice AI
  • benefits verification phone calls

voice

  • plainspoken
  • operational and benefit-led
  • concise

signals

  • text: High volumes of insurance eligibility or claim-status calls make a bounded call automation pilot relevant.
  • text: Revenue cycle teams adding call staff or struggling with turnover may value flexible capacity and retained knowledge.

stack

  • Vanta

hiring

  • Founding AI Engineer, YC jobs listing
  • Healthcare Operations Associate, YC jobs listing

pricing

model: unknown

motion

sales_led

channels

  • website
  • demo
  • LinkedIn
  • YC jobs

confidence

medium

Founders

  • name: Sneh Patel
    title: Founder
    role: Founder
    bio: Sneh has a Doctorate in Pharmacy and MBA from Harvard. She previously worked at McKinsey and an NEA-backed startup.
  • name: Kimberly McManus
    title: Founder
    role: Founder
    bio: Kimberly’s expertise in consumer health comes from leading a data science team at 23andMe. She has a Bachelor’s degree from MIT, and a Master’s degree in Biomedical Informatics and a Ph.D. in Biology from Stanford University. She’s published over ten papers in genomics, healthcare and machine learning and holds one patent, with three patents pending.

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