What challenges did Build-Apps Pty Ltd face before AI implementation?

Fragmented SaaS tools led to disjointed and unreliable data in commercial real estate operations. Manual updates and poor integration increased the risk of inefficiency and compliance lapses. Limited actionable insights due to scattered enterprise data sources and lack of effective collaboration. Inability to customize processes for market/vertical specifics hindered broad adoption.

What was the impact of the AI solution?

Significantly improved operational efficiency in property management. Unified compliance, ESG, and maintenance operations for streamlined reporting and performance. Enhanced data accuracy and portfolio management through automation and actionable insights. Enabled scalable, market-specific solutions applicable across APAC and beyond.

Source

MicrosoftProductionEvidence: Low40/100

Build-Apps streamlined commercial real estate management

Use case typeRisk assessmentUpdated Jun 13, 2026

Build-Apps Pty Ltd developed PIPP. AI, an AI-driven platform for commercial real estate management targeting operational efficiency, compliance, maintenance, ESG, and portfolio analysis. The platform addresses challenges stemming from segregated SaaS tools, often leading to inaccurate data and inefficiencies in property management. PIPP. AI consists of 18 interconnected, modular applications housed on the Microsoft Power Platform, customized for various commercial real estate functions and market verticals. All modules are integrated via Dataverse, ensuring secure, centralized, and actionable data leveraging Power Automate, Power Apps, and Power Virtual Agents. Features emphasize responsible AI use, cybersecurity, and client control over enterprise and operations data. The solution was developed in consultation with leading APAC REITs and property owners, reflecting user-driven requirements gathered over seven years. The platform unifies compliance, risk management, maintenance, energy usage analytics, and ESG into a cohesive digital ecosystem, scalable to different portfolio sizes and industry segments. Customization capabilities allow specific market adaptations, such as health, hospitality, or pharma segments, ensuring wide applicability. Automated insights and workflow automation enable faster processes, improved decision-making, and reduced manual errors for CRE professionals. Results include increased operational efficiency, streamlined data collaboration, improved ESG outcomes, and overall portfolio performance enhancements.

Organization: Build-Apps Pty Ltd
Industry: Real Estate
Location: Australia

Reported outcomes

Strategic outcomes

Scale & capacityEnabled scalable market-specific solutionsRisk & complianceUnified compliance and ESG operationsBetter decisions & insightImproved data accuracy and portfolio managementCustomer experience & trustBuilt customizable CRE management platform

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Build-Apps Pty Ltd
Provider: Microsoft
Maturity: Production
Linked source: Microsoft AppSource

AI, an AI-driven platform for commercial real estate management targeting operational efficiency, compliance, maintenance, ESG, and portfolio analysis

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Unified Commercial Property Operations Automation
2Automated ESG and Risk Management for Real Estate
3Centralized Data Collaboration and Compliance Reporting in CRE

Fragmented SaaS tools led to disjointed and unreliable data in commercial real estate operations.
Manual updates and poor integration increased the risk of inefficiency and compliance lapses.
Limited actionable insights due to scattered enterprise data sources and lack of effective collaboration.
Inability to customize processes for market/vertical specifics hindered broad adoption.

Developed PIPP.AI on Microsoft Power Platform: 18 modular, purpose-built applications.
Integrated data storage and workflow using Dataverse for seamless collaboration and security.
Automation of manual CRE management processes using Power Automate and AI insights.
Emphasized responsible AI, cybersecurity, and in-house/onshore product development.
Customizable app bundles for specific market needs, adaptable to input and feedback from leading portfolio owners.

Technologies

Microsoft Power Platform Power Automate Power Apps Power Virtual Agents Dataverse AI

Significantly improved operational efficiency in property management.
Unified compliance, ESG, and maintenance operations for streamlined reporting and performance.
Enhanced data accuracy and portfolio management through automation and actionable insights.
Enabled scalable, market-specific solutions applicable across APAC and beyond.

Architecture

PIPP.AI is implemented as a family of 18 interconnected modular applications within the Microsoft Power Platform ecosystem (PowerAutomate, Power Apps, Dataverse, Power Virtual Agents). Data from disparate CRE operations is centralized in Dataverse, which acts as the single source of truth connecting each module. Synchronization and automation are orchestrated with Power Automate. Security and responsible AI are managed in the platform layer, enabling customization while maintaining control. Apps can be deployed individually or as bundles based on market/industry needs.

Sources & evidence1

Evidence: Low40/100Evidence strength