We’re investing $100,000 to help our clients move beyond shiny demos and vague productivity promises, and instead use AI to solve real business problems that actually move the needle.
The rule is simple: if an idea doesn’t shift a number that matters, it doesn’t get funded.
Each successful submission receives $20,000 in support, including dedicated engineering time, a project manager, and hands-on consultancy to take the idea from concept to production. And we don’t stop at “we built it.” These projects are tracked over time to make sure they’re adopted, embedded, and delivering the returns they were meant to.
Billbergia is a long-established Australian property developer, founded in the late 1980s and known for delivering large-scale, high-quality residential communities across New South Wales and Queensland.
With a team of roughly 150–200 staff and a pipeline spanning multiple concurrent developments, Billbergia operates at a scale where operational discipline matters just as much as design and delivery. Their projects don’t stop at construction, a significant part of the business is what happens after settlement.
Once residents move in, Billbergia’s reputation is shaped by how effectively it handles defects, warranty issues, and post-handover enquiries. These interactions involve owners, builders, subcontractors, and internal teams, and they can continue for years after a project settles.
What makes Billbergia different is the standard they hold themselves to post-handover. They don’t treat defects management as an afterthought or a cost centre to be minimised, it’s a core part of the customer experience and brand trust. But that commitment comes with a challenge: as development volumes grow, so does the volume of predictable, repetitive enquiries that land on the defects and customer teams.
Most post-settlement questions follow known patterns, reference historical information, or require simple next steps. Yet they still consume significant time, attention, and people.
Billbergia reached a point where continuing to grow meant making a choice:
That’s the problem this initiative is designed to solve.
Billbergia proposed a defects-focused AI assistant designed to handle common post-settlement enquiries quickly, consistently, and in a way that fits naturally into existing operations.
The assistant will:
The goal isn’t to replace people or cut corners. It’s to remove predictable, low-value work from the queue so the defects team can focus on exceptions, judgement calls, and genuinely complex cases.
Critically, this allows Billbergia to continue delivering new developments without needing to grow the defects team in lockstep with settlement volumes.
Based on current growth projections, Billbergia’s post-settlement workload would require up to five additional full-time employees over the next two years if handled purely through traditional staffing.
This AI assistant has the potential to avoid up to $500,000 in staffing costs, with:
That represents a projected 16x return on investment.
More importantly, it directly addresses a known operational bottleneck, integrates into existing systems, and improves both customer experience and team sustainability.
The assistant will be grounded in Billbergia’s real operational data, including FAQs, manuals, and historical defects tickets. This grounding significantly reduces risk and improves response accuracy.
It will use an OpenAI-powered GPT model with guardrails in place, tuned for safe, low-temperature responses. A pilot will launch on a single major project, be validated with the defects team, and then progressively rolled out across developments planned between 2025 and 2027.
Success will be measured through:
The primary ROI metric is straightforward: how much headcount growth is avoided as the business scales.
As the pilot rolls out, this case study will be updated with real data, real outcomes, and lessons learned from the people using the system day to day.
This isn’t about AI being clever. It’s about protecting team capacity, maintaining service standards, and giving a growing business room to breathe.
If you’re facing scale pressure after delivery, not during it, this is exactly the kind of problem AI is well suited to solve when it’s applied with intent and discipline.
AI projects don’t finish when the initial build is delivered. The real returns come from ongoing support, iteration, and ownership as the model matures, data grows, and business needs shift.
That’s exactly the problem CORE was built to solve. CORE is our managed AI and automation service, designed to help organisations turn projects like this into long-term productivity gains.
With CORE, we help clients operate and improve AI systems safely in production, lift accuracy and adoption over time, adapt workflows as teams and priorities change, and maintain the governance and security that keeps everything running responsibly.
If you’re investing in AI to deliver real, measurable outcomes, CORE provides the structure and continuity to make that investment compound, month after month.
IT Consulting
Data Services
IT Infrastructure Projects
IT Procurement
Business Continuity Planning
Cloud Migration Services
Managed IT Services
IT Support Services
Managed Cloud Services
Managed SharePoint Services
End User Computing
Unified Communications
Connectivity
Virtual CIO
Offshore Staff Outsourcing (BPO)
Managed Security Services
ACSC Essential 8
Cybersecurity Risk Assessment
Cloud Backup and Disaster Recovery
Cyber Security Connect and Protect Program
Automation
IT Strategy
Microsoft 365 Consulting
Power BI
Careers
Awards and Certifications
Management Team
Case Studies
Sell Your IT Business
Our Commitment to the Environment
CSAT Charity Donations
Media Kit
Sydney
