AI & Business Intelligence
Democratise insights across your organisation. We deploy intelligent, AI-powered analytics that empower everyone to ask questions and uncover answers.
The Next Generation of Analytics
Move beyond static dashboards. We help organisations leverage the Databricks Data Intelligence Platform to deliver AI-powered business intelligence that understands the unique semantics of your data.
By implementing Databricks Genie, we enable a conversational experience where business teams can self-serve insights in real-time through natural language, without relying on expert data practitioners.
Empowering Your Teams
Agentic Analytics with Databricks Genie
Deploying generative AI agents that understand your data and can answer complex business questions via natural language.
AI/BI Dashboards
Creating intelligent, interactive dashboards that provide deep visibility into business performance.
Unified Semantics
Centralising business definitions within Unity Catalog to ensure one version of the truth across all BI and AI tools.
Predictive Analytics
Combining traditional BI with machine learning models to
forecast trends and drive proactive decision-making.
Databricks AI use cases in Australian Enterprises
Real-world Databricks Genie use cases delivering governed, natural-language data access and accelerated analytics.
Governed Self-Service Analytics
Databricks Genie Spaces has been deployed to allow non-technical business units to query mass data assets using natural language. The architecture integrates with Unity Catalog to auto-enforce row- and column-level security policies dynamically per user query.
Automated Deep Research
Genie's multi-step reasoning Agent Mode has been leveraged to parse structured data layers and extract insights across complex technical assets. Curated SQL instructions and knowledge stores have been embedded to prevent analytical hallucination.
Metric-Driven Compliance Layer
Centralized semantic structures have been built using Metric Views to define complex corporate calculations. This setup ensures Genie interprets ambiguous business definitions deterministically without risking exposure of protected PII data.
Predictive Churn & Self-Service Insights
An enterprise MLOps platform was built on Databricks to transition legacy, ad-hoc workflows into production-ready churn prediction models. Databricks Genie was integrated into the architecture to give business teams direct, natural-language access to these advanced predictive outputs.
Build production-ready AI applications
Ship intelligent applications using LLMs, RAG pipelines, AI agents and automation frameworks. From proof of concept through to enterprise scale with governance built in.
Build RAG pipelines with vector databases, embeddings and semantic search.
Deploy autonomous AI agents with tool use, memory and multi-step reasoning.
Create conversational AI systems with context awareness and enterprise integration.
Monitor AI systems in production
Track performance, manage costs and continuously improve AI capabilities. Establish governance frameworks with model risk management and regulatory alignment.
Track model performance, latency, accuracy and guardrail violations in real-time.
Manage AI costs with token tracking, budget controls and intelligent model routing.
Establish governance frameworks with policy enforcement and audit trails.