Enterprise AI Cultivates Development Application for Blacktown City Council

Why It Matters

DAISY demonstrates how AI can alleviate resource constraints in municipal planning, delivering faster approvals and higher‑quality submissions. Its success signals a scalable model for other local governments facing similar backlogs.

Key Takeaways

• DAISY deflects 40‑100 applicant enquiries per week
• Assessment timeframes cut by 20% within six months
• Implementation takes four weeks after 18‑month development
• System customisable to council’s planning controls and legislation

Pulse Analysis

Municipal planning departments across Australia have long wrestled with mounting development application backlogs, a problem amplified by complex regulations and limited staffing. Traditional paper‑based processes generate high volumes of applicant enquiries, forcing councils to allocate staff time to repetitive information requests rather than substantive assessment. The pressure to accelerate approvals while maintaining compliance has driven local governments to explore digital transformation, yet many solutions fall short of integrating seamlessly with existing legislative frameworks.

Enterprise AI’s DAISY platform tackles these pain points by leveraging Microsoft Azure AI Foundry, Content Understanding, and Azure API Management to deliver a cloud‑native, AI‑powered workflow. DAISY Assist guides applicants through site‑specific requirements, reducing ambiguity at the lodgement stage, while DAISY Assess automates high‑volume tasks such as initial screening and draft report generation. The system’s modular architecture allows councils to tailor the solution to local planning controls and property data, shortening implementation to four weeks after an 18‑month development cycle. Early metrics from Blacktown City Council show a 20% cut in assessment timelines and the deflection of 40‑100 enquiries weekly, translating into a 49% boost in capacity for after‑hours query handling.

The broader implication for Australian councils is a proof point that AI can materially improve operational efficiency without sacrificing regulatory rigor. As more municipalities adopt DAISY‑like platforms, the cumulative effect could be a faster, more transparent development pipeline, encouraging investment and easing housing shortages. The scalability of the Microsoft Azure stack ensures that the solution can expand to larger jurisdictions, positioning AI as a cornerstone of future‑ready local government services.