How much does predictive AI cost for Australian businesses?

The cost of predictive AI for Australian businesses varies significantly based on use case complexity, data requirements, and implementation approach. Here is a realistic breakdown. **Implementation cost ranges:** *Entry-level implementations ($15,000–$40,000):* Single-use-case models for businesses with clean, accessible data. Examples: customer churn prediction for a SaaS business with Salesforce CRM data; demand forecasting for a retailer with 12 months of POS data; lead scoring for a professional services firm with HubSpot data. *Mid-range implementations ($40,000–$100,000):* More complex use cases requiring data integration across multiple systems, or use cases with higher accuracy requirements. Examples: manufacturing demand forecasting integrating ERP, WMS, and external market data; predictive maintenance requiring IoT sensor integration; credit risk scoring for a lender with complex data requirements. *Enterprise implementations ($100,000–$200,000+):* Multi-use-case implementations, complex data environments, or use cases requiring real-time prediction at scale. Examples: supply chain optimisation across multiple facilities; real-time fraud detection for a financial services firm; multi-model predictive intelligence platform. **Ongoing maintenance costs:** Predictive models require ongoing maintenance to remain accurate as business conditions change: - Model performance monitoring: ensuring accuracy doesn't degrade over time - Model retraining: updating models with new data quarterly or annually - Feature updates: incorporating new data sources as they become available Ongoing maintenance typically costs $10,000–$60,000 per year depending on model complexity and retraining frequency. **Total cost of ownership comparison:** Building internal AI capability (data science team + infrastructure): $400,000–$800,000/year Using a managed AI service (PresciaIQ): $25,000–$100,000/year for equivalent outcomes For most Australian businesses, the managed service approach delivers equivalent or better outcomes at 10–20% of the cost of building internal capability. **ROI context:** Most PresciaIQ implementations pay back within 3–9 months. A $50,000 demand forecasting implementation that delivers $300,000 in annual savings represents 6x ROI in year one.