From AI strategy to production ML models, we help Australian businesses unlock the full potential of their data with artificial intelligence and advanced analytics.
Explore Solutions View PricingCompanies that leverage AI and analytics are 23x more likely to acquire customers and 6x more likely to retain them. Yet 87% of AI projects never make it to production.
Critical business data locked in disconnected systems. Finance in Xero, customers in Salesforce, operations in spreadsheets. No single source of truth.
Drowning in data but starving for insights. Reports take weeks to produce and are outdated by the time they reach decision-makers.
Vendors promise AI magic. Reality delivers pilot projects that never scale. 87% of AI projects fail to reach production.
Data scientists command $180K+ salaries and are nearly impossible to recruit in Australia. Building an internal team takes years.
No data quality standards, no governance framework, no AI ethics policies. The foundation is missing for any serious AI initiative.
We do not build AI demos. We build AI solutions that go into production and deliver measurable business value from day one.
We start with your business problem, not the technology. Every AI project begins with a clear understanding of the outcome you need and the value it will deliver.
Our team combines deep data science expertise with real-world business experience, so we build solutions that work in practice, not just in the lab.
From strategy workshops to production ML models, we provide the complete data and AI lifecycle with a focus on speed to value and sustainable outcomes.
Our natural language analytics platform that lets anyone in your organisation ask questions of their data in plain English and get instant, accurate answers.
Our automated ML platform that builds, tests, and deploys machine learning models 10x faster than traditional approaches. From data to production in weeks.
Executive workshops to identify high-value AI opportunities. Roadmaps prioritised by ROI, feasibility, and strategic alignment. Board-ready business cases.
Modern data architecture design and implementation. Data lakes, warehouses, and lakehouses on Azure, AWS, or hybrid. Built for scale and governed for trust.
Custom ML models for prediction, classification, NLP, computer vision, and optimisation. From prototype to production with MLOps for ongoing management.
Power BI, Tableau, and custom dashboards that turn data into decisions. Self-service analytics that empower every team member.
Natural language interface to your data. Ask questions in plain English, get charts and answers instantly. No SQL, no training, no waiting.
Automated machine learning platform. Upload data, define the outcome, and HIVE builds, tests, and deploys the best model automatically.
Automated data quality monitoring, lineage tracking, cataloguing, and access control. Ensure your data is trustworthy, compliant, and discoverable.
Continuous monitoring of model performance, automated retraining, A/B testing, and version control. Keep your AI models accurate and reliable over time.
Start with strategy, build with confidence, operate with AI. Every engagement delivers measurable value.
2-day executive workshop
Custom AI solutions
Ongoing AI operations
Coastal Retail Group operates 45 retail stores across NSW and QLD with $120M in annual revenue. They had data everywhere but insights nowhere.
The Challenge: POS, inventory, CRM, and marketing data in four separate systems. Reports took weeks. Stockouts and overstock cost $3M annually. No ability to personalise customer experiences.
The Solution: ASI built a unified data platform, deployed ML models for demand forecasting and customer segmentation, and rolled out Anabelle AI for self-service analytics across all store managers.
Demand forecasting, dynamic pricing, customer segmentation, recommendation engines, inventory optimisation, churn prediction.
Fraud detection, credit scoring, risk modelling, customer lifetime value, regulatory reporting automation, market analysis.
Predictive maintenance, quality prediction, supply chain optimisation, energy management, production scheduling, yield optimisation.
Patient flow prediction, resource optimisation, clinical decision support, claims analytics, population health management.
Resource allocation, project profitability prediction, client churn analysis, proposal automation, knowledge management.
Route optimisation, demand prediction, warehouse automation, fleet management, delivery time estimation, capacity planning.
Identify high-value AI opportunities through data assessment, stakeholder interviews, and business process analysis. Define success metrics and ROI targets.
Architect the data platform, select ML approaches, design the solution, and plan integration points. Create a detailed delivery roadmap with milestones.
Agile development of data pipelines, ML models, and user interfaces. Regular stakeholder demos. Model validation with real business data.
Production deployment with monitoring, testing, and user training. A/B testing to validate business impact. MLOps setup for ongoing management.
Continuous model monitoring, retraining, and improvement. New use case identification. Value tracking and reporting against original ROI targets.
We start with your business problem, not the technology. Every model we build has a clear business case and measurable ROI.
87% of AI projects fail to reach production. Our rate? 94% of projects reach production within 6 months. We build to deploy, not to demo.
Built-in explainability, fairness testing, and governance. Our AI solutions are transparent, auditable, and aligned with Australian AI Ethics Principles.
We do not create dependency. Every engagement includes training and documentation so your team can own and evolve the solutions we build.
Start with a 2-day AI Strategy Workshop. We will identify your highest-value AI opportunities and build a practical roadmap to get there.
ASI AI Solutions • Botany, NSW • Est. 1985
1300 ASI AIR • data@asiai.com.au