Imported idea: European-style deposit protection, rebuilt for U.S. renters with AI

Turn a messy move-out into a recoverable deposit case.

DepositPilot is an AI-first online service that reviews move-out evidence, estimates deduction fairness, drafts professional landlord letters, and prepares a small-claims-ready packet — with a tiny human team only for escalations.

2–3staff to launch
AI-firstsupport, review, docs
U.S.fragmented market gap
Why this can be early in America

Other countries normalized structured deposit protection. The U.S. is still fragmented, manual, and intimidating.

The gap: millions of renters face deductions, but most won’t hire a lawyer for $500–$3,000. A low-cost AI service can standardize evidence review, negotiation, document creation, and escalation — like a consumer fintech layer for renter rights.

1

AI evidence intake

Renter uploads lease, photos, messages, receipts, and deduction list. AI extracts timelines, missing proof, and weak points.

2

Deduction fairness engine

Flags normal wear-and-tear, unsupported cleaning fees, late return deadlines, and inflated repair costs by state rules.

3

Auto negotiation kit

Generates a polite demand letter, email sequence, call script, settlement offer, and court packet if negotiation fails.

Lean operation

Built for 2–3 employees at launch.

The first version does not need a big call center. AI handles intake, customer service FAQs, document generation, case scoring, reminders, and status updates. Humans only review edge cases, partnerships, and escalations.

Launch stack

  • AI chat + guided upload portal
  • State-by-state rule library
  • Document generator
  • Stripe checkout later
  • Human review queue
  • Optional attorney partner network later
Simple pricing thesis

Low ticket, high urgency, easy upsell.

Free Scan

$0

Case score, missing evidence checklist, and likelihood band.

Best MVP

Recovery Kit

$49

Demand letter, email sequence, repair challenge, and settlement script.

Escalation Pack

$149

Small-claims packet draft, timeline, exhibits index, and human QA review.