AI Investment Fund Case Study: Billbergia

AI Investment Fund Showcase: Billbergia

Scaling Property Development with AI-Powered Defect Intelligence

Client

Billbergia – Privately owned property development and investment company.
Founded in 1988 | Operating in Sydney & Brisbane | Master-planned residential communities.

The Challenge

Billbergia delivers large-scale master-planned communities, with projects ranging from 300 to 1,500+ units.
As development volume increases, operational complexity rises—particularly at building handover.

After each launch, hundreds of residents move in at once, creating a surge of defect-related submissions.
These range from genuine defects to supplier configuration questions, misrouted issues, and non-defect requests.
Every submission traditionally required manual triage by the defects team.

With significantly larger projects in the pipeline, Billbergia faced a critical question:

How do we increase ticket volume capacity without increasing headcount at the same rate?

The AI Investment Fund Initiative

Through the First Focus AI Investment Fund, Billbergia launched an AI-Powered Knowledge and Project Information Asset—
beginning with backend defect triage to prove ROI quickly and safely.

Rather than starting with customer-facing sales AI (higher complexity and risk), the initiative targeted a high-volume
operational bottleneck with clear cost and productivity outcomes.

The Solution

First Focus partnered with Billbergia to design and deploy an AI triage layer that:

• Analyzes incoming defect submissions
• Classifies issues (defect / non-defect / supplier / building management)
• Routes tickets to the correct team automatically
• Provides instant responses for common “how-to” queries
• Integrates with subcontractor booking systems

The system operates behind a familiar form-based interface to keep the user experience simple,
while AI processes and routes the request in the background.

Three Intelligent Pathways

Each submission is automatically directed into one of three streams:

1. Immediate Escalation – Routed to the correct internal or subcontractor team
2. Instant Resolution – AI responds using manuals and approved documentation
3. Human-in-the-Loop Review – Flagged for admin validation if uncertain

This structure reduces adoption risk—staff continue working in the same ticketing flow,
but receive better-routed, higher-quality requests.

Leveraging Billbergia’s Data Advantage

Billbergia holds over 10 years of defect records and photo documentation. This foundation supports:

• Knowledge ingestion from appliance manuals and internal documentation
• Automated answers to configuration and supplier-related questions
• Image-based defect recognition (where photos are provided)
• Continuous learning via flagged questions and verified outcomes

A dedicated admin portal enables a human-in-the-loop safeguard to maintain near-perfect accuracy
before expanding automation.

Business Impact

1) Headcount Efficiency & Scalability

The clearest ROI driver is FTE containment. By enabling the defects team to process more tickets without
increasing staff at the same rate, Billbergia can scale project volume without linear cost growth.

2) Faster Response Times

The AI system is designed to instantly resolve a meaningful portion of routine queries, reducing backlogs during launches
and improving customer experience—especially over weekends and holiday periods.

3) Brand & Word-of-Mouth Impact

Property purchases are high-value and high-emotion. Faster, clearer support strengthens trust, improves satisfaction,
and supports positive referrals.

Implementation Approach

Phase 1: Proof of Concept (Approx. 3 Weeks)

• Architecture design
• AI triage model
• Admin review portal
• Controlled validation process

Phase 2: Continuous Improvement

• Accuracy optimisation and refinement
• Flagged-question feedback loop
• Guardrails for trusted knowledge sources
• Gradual automation increase as confidence grows

Why This Matters

Many AI projects stall due to unclear ROI or poor adoption. Billbergia’s approach demonstrates a practical pathway:
start with a measurable backend efficiency win, prove value, then scale capability across the organisation.

The Bigger Vision

The defect triage engine is a foundation for a broader lifecycle experience. Billbergia’s long-term objective is to unify
its customer journey—from deposit and inspection through key handover and defect management—into a streamlined, modern digital process.

The First Focus Difference

Through the AI Investment Fund, First Focus helps organisations identify high-ROI AI opportunities, rapidly deploy proof-of-concept
solutions, reduce implementation risk, and build scalable AI architectures that move from experimentation to operational impact.

Outcome Snapshot

From Implementation To Impact

AI projects do not finish when the initial build is delivered. For forward‑thinking organisations, real returns comes from ongoing support, iteration and operational ownership as models mature, data grows and business needs evolve.

That is exactly why we created CORE.

CORE is our managed AI and automation service, designed to help organisations turn AI initiatives like this into long‑term productivity engines.

With CORE, we support clients to:

• Operate and evolve AI systems safely in production
• Improve accuracy, adoption and outcomes over time
• Adapt workflows as teams, data and priorities change
• Protect governance, security and trust as usage scales

If you are investing in AI to drive real, measurable outcomes, CORE provides the structure and continuity required to make that investment compound.

LEARN MORE ABOUT CORE