Understand
What seems to be happening? What matters, what is missing, and is there a deadline or safety concern?
New Zealand tenancy help that starts with your story
The AdvoCat helps people renting, providing or managing homes understand what is happening, work towards a practical resolution where possible, and take the right next step when formal action is necessary.
AdvoCat reflects the issue before choosing a process.
You do not need to know whether the issue is called quiet enjoyment, a work order or retaliatory notice. Begin with the event, question or document in front of you.
What seems to be happening? What matters, what is missing, and is there a deadline or safety concern?
Where appropriate, identify the smallest effective intervention and make both perspectives easier to address.
Record an agreement, improve a communication, preserve evidence, or move to the right formal or human-supported path.
THE FIRST COMPLETE JOURNEY
Pet consent is the first full pilot because it has two legitimate perspectives, a real response period and a useful written outcome. The Alpha demonstrates the complete journey: request, concerns, evidence, proposed conditions, changes, refusal or consent, and a record created only after a human decision.
Explore the pet-consent demo →The public website explains the stable idea. Alpha demonstrates the proposed experience using fictional examples. Professional and organisational uses are developed through carefully bounded pilots.
Understand the issue in ordinary language, identify what is missing and find the most proportionate next step.
Explore the Alpha →Explore earlier resolution, better communication, AI-draft checking and cleaner preparation for matters that remain formal.
Explore the pilot →Explore a neutral, governed capability that helps people arrive at mediation or adjudication with a clearer, narrower matter.
Start an organisational conversation →
FOUNDED BY AVA SANCHEZ NEAL
Ava is a former Tenancy Mediator with formal Massey University qualifications in mediation, conciliation and arbitration. Her experience spans regulated advice, employment advocacy, governance, privacy and systems assurance.
Product decisions, responsible-AI boundaries and evidence behind the first pilots.
A bounded, emotionally real problem lets us test an entire two-party journey without defining the whole product around pets.
Read the note →AI-written tenancy material needs fact, evidence, remedy, tone and deadline checks before someone relies on it.
Read the note →People search for “what can I do?” and “is this allowed?” long before they know the formal legal category.
Read the note →