Resolve through making.
Information architecture, interaction principles and model-response patterns were prototyped against maintenance and governance scenarios.
Project 02 / Concept case study · Property technology
Dwelling AI Platform
Making AI useful, legible and accountable across the everyday work of residential communities.
FORM / 01
SYSTEM TEST
1:2
01 / Challenge
Property teams manage fragmented messages, maintenance histories, compliance documents and resident requests across disconnected tools.
02 / Context
Look closely at the real situation.
The value of automation depends on trust. Users need to know what the system understands, what it recommends and when a person remains responsible.
FORM / 01
SYSTEM TEST
1:2
03 / Research
Evidence before assumption.
Workflow mapping with managers and residents identified repeat decisions, risky handovers and the moments where missing context creates delays.
“The useful question is rarely the first one on the brief.”
04 / Strategic opportunity
A clear place to act.
Use AI to prepare and explain decisions while keeping human ownership visible throughout the service.
05 / Concept
A shared operational workspace with an evidence-linked assistant, priority views and clear approval checkpoints.
FORM / 01
SYSTEM TEST
1:2
FORM / 01
SYSTEM TEST
1:2
FORM / 01
SYSTEM TEST
1:2
FORM / 01
SYSTEM TEST
1:2
Test the right thing.
Clickable service flows and simulated AI responses tested comprehension, confidence and recovery from uncertain outputs.
08 / System overview
Every part reinforces the whole.
A modular design system aligns resident reporting, operator triage, supplier coordination and community communication.
STRATEGYPRODUCTEXPERIENCEBRANDDwelling AI
09 / Outcome
An MVP definition, experience architecture and responsible-AI interaction model ready for technical discovery.
Credits
LOGIKO — product strategy, research and experience design
Technical partner — AI feasibility