top of page

🧠 How Strata Professionals Can Prepare Their Data for Kobode AI

As artificial intelligence continues to reshape industries, strata management is no exception. Kobode AI is designed to streamline operations, automate routine tasks, and provide real-time expert guidance for strata professionals. But to unlock its full potential, your data needs to be ready.

Here’s how to prepare your documentation and workflows for seamless integration with Kobode AI.

📁 1. Organize Core Building Documentation

Start by gathering and structuring the foundational documents for each strata plan:

  • Bylaws and building rules

  • Strata roll (owners and lot details)

  • Meeting minutes (AGMs, committee meetings)

  • Insurance policies and fire safety certificates

  • Renovation approvals and historical records

  • Complaint logs and resolutions

These documents form the backbone of Kobode’s AI reasoning and automation capabilities.


👥 2. Capture Owner and Lot-Specific Context

AI thrives on context. Make sure your data includes:

  • Owner contact details and lot assignments

  • Historical interactions (e.g., renovation requests, complaints)

  • Approval thresholds for financial decisions or committee votes

This allows Kobode to personalize responses and route tasks appropriately.


🧠 3. Train the AI with Historical Data

The more data Kobode has, the smarter it gets. Feed it:

  • Past decisions and approvals

  • Common queries and resolutions

  • Feedback loops from owners and managers

This improves accuracy and helps Kobode learn your unique management style.


🔐 4. Ensure Compliance and Governance

Kobode is built with ethical AI principles. To support this:

  • Maintain version control and document history

  • Tag sensitive data appropriately

  • Use structured folders and naming conventions

This ensures transparency, security, and unbiased decision-making.


🚀 Ready to Get Started?

Kobode AI is here to simplify strata management—automating approvals, resolving issues, and keeping you compliant. Preparing your data is the first step toward a smarter, more efficient future.

 
 
 

Comments

bottom of page