Inconsistent inspection evidence
Field teams needed a repeatable way to collect photos, notes, timestamps, and condition details across many property types.
Case study
LeaseLens: AI Property Scanner
A property inspection app concept for guided capture, AI condition notes, and cleaner move-in and move-out reporting for landlords, tenants, and field teams.
Reports10k+
CountryUAE
PlatformAndroid
AI LayerNotes
Overview
Consistent inspection records without slowing field teams down.
LeaseLens was designed to reduce the friction of property documentation by turning inspections into a guided mobile workflow. The experience supports room-by-room capture, issue tagging, photo review, and report generation.
AI condition notes help teams summarize visible issues and keep report language consistent while still leaving review control with the user.
What the build focused on
Guided AI capture workflow
The app concept combines structured inspection paths, AI condition summaries, report workflows, and review checkpoints.
Cleaner handoff documentation
Property teams get reports that are easier to verify, share, and compare across move-in and move-out events.
Scope
Field inspection workflows designed for speed, evidence, and review.
Guided capture
Room-by-room checklists help inspectors collect the right photos, condition notes, and timestamps without guesswork.
Media evidence
Photo groups, tags, and issue markers keep inspection evidence organized around the exact property area.
Report review
Draft reports can be checked, edited, and approved before they are shared with landlords, tenants, or managers.
Property history
Move-in and move-out records are structured so teams can compare changes and resolve disputes faster.
AI workflow
AI that improves documentation without removing review.
The AI layer supports field teams by drafting condition language, grouping related issues, and flagging missing evidence. Inspectors still approve the final report, keeping accountability clear.
- Condition notesTurns rough field notes into clearer report-ready language.
- Missing evidence checksHighlights inspection areas that need photos, signatures, or required answers.
- Issue groupingConnects related damage notes across rooms, fixtures, and media.
- Final review stateKeeps AI-generated wording editable before reports are sent.
Implementation direction
Built for offline-friendly capture and clear handoff reporting.
The product direction covers mobile capture states, media upload queues, report templates, reviewer permissions, and data structures that support repeat inspections across a property portfolio.
Kotlin
Flutter
Node.js
PostgreSQL
OpenAI
Cloud Storage
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