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Senior consultant leading an AI strategy workshop in front of a wall of roadmap visuals in a Sydney boardroom

Enterprise AI consulting

AI consulting that ships, not slide decks.

Senior practitioners who design, build, and deliver enterprise AI for Australian organisations. The agile alternative to Big 4 consulting, with certified delivery on Databricks, Anthropic, OpenAI, Microsoft, and Google.

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50+

AI implementations

Official

Databricks Partner

5.0

Google rating

Certified across

AnthropicOpenAIMicrosoftGoogle GeminiDatabricks

Australia's Databricks Delivery Partner for Enterprise AI

Get AI Ready is one of Australia's most active Databricks Delivery Partners, helping enterprise clients across banking, healthcare, government, energy and retail design, build and operate the data foundations that production AI demands. Our consultants combine deep Databricks platform expertise with the AI engineering experience required to take a Databricks investment from initial workspace setup all the way through to governed, audited, production-grade AI systems.

Every enterprise we engage with has the same core question: how do we move from disconnected data and pilot-stage models to a single governed platform that can support real production AI without breaking compliance? Our answer is the Databricks Lakehouse, implemented properly, with Unity Catalog governance from day one, MLflow for reproducibility, Delta Live Tables for data quality, and an MLOps discipline that satisfies the auditors. We do not bolt governance on at the end. We design it in from the first sprint.

Our Databricks Capabilities

  • Lakehouse Implementation: Greenfield and brownfield Databricks deployments on AWS, Azure and GCP, including legacy Hadoop, SAS, and Synapse migrations.
  • Unity Catalog Governance: End-to-end metadata, lineage, and access control rollouts including multi-workspace and multi-region patterns.
  • Delta Live Tables: Production-grade ingestion and transformation pipelines with built-in data quality expectations.
  • MLOps with MLflow: Versioned training, evaluation, and deployment workflows with full reproducibility and audit trail.
  • Generative AI & RAG: Multi-agent RAG architectures, vector search, evaluation harnesses (DeepEval, MLflow Evaluate) for regulated environments.
  • Agentic AI Workflow Automation: LangGraph-based orchestration for purpose-built enterprise AI agents.
  • Databricks SIEM: Cost-effective SIEM workloads on the lakehouse for security and compliance teams.
  • Feature Store & Model Serving: Real-time and batch serving with governed feature reuse across teams.

Why Australian Enterprises Choose Us as their Databricks Partner

We are senior: every engagement is delivered by experienced consultants who can sit in front of a CIO, walk through APRA CPS 234 controls, and then write the production code themselves. We are governance-aware: we have built AI systems that have passed internal audit and regulator review, and we know what that bar requires. We are focused: Databricks is what we do every day, not a side capability bolted onto a generalist consulting practice. And we are local: based in Sydney with on-the-ground delivery across Australia and Singapore, we work to Australian timezones, Australian procurement norms, and Australian regulatory expectations.

Our case studies include a multi-agent RAG knowledge platform for a global financial institution, predictive maintenance for gas compression assets, AI-powered legal and regulatory summarisation for a major insurer, environment-aware drift monitoring for a large analytics enterprise, and an enterprise AI gateway for a leading retailer. All built on Databricks. All in production.

Whether you are evaluating Databricks for the first time, planning a migration off legacy infrastructure, or scaling an existing Databricks footprint into AI production, our team can help. Book a discovery call or explore our specific service offerings below.

Why not a Big 4 firm?

Same outcomes you came to consulting for, faster, with people who have actually built it before.

Big 4 approachGet AI Ready
6 to 12 month engagements4 to 12 week sprints
Junior consultants do the workSenior practitioners on every project
Strategy decks that gather dustWorking AI in production
$500K plus minimumsSized to the outcome you need
Vendor-locked recommendationsPlatform agnostic, certified delivery

Our Service Areas

Data Foundation & Engineering
Build the infrastructure that powers AI success
Modern data lakehouse architecture on Databricks
Automated data ingestion and ETL pipelines
Real-time and batch processing capabilities
Data quality and validation frameworks
Integration with existing systems and tools
Scalable infrastructure that grows with your needs
Analytics & Intelligence
Transform data into actionable insights
Business intelligence dashboards and reporting
Advanced analytics and predictive modeling
Self-service analytics for business users
Real-time monitoring and alerting
Custom KPI tracking and visualization
Data democratisation across your organisation
AI & Machine Learning
Deploy intelligent systems that drive value
ML model development and deployment
MLOps and model lifecycle management
Natural language processing and understanding
Computer vision and image recognition
Recommendation systems and personalisation
AI-powered automation and optimisation
Governance & Strategy
Ensure compliance, security, and responsible AI
Data governance framework implementation
Security and access control policies
Regulatory compliance (GDPR, APRA, etc.)
AI ethics and responsible AI practices
Data catalog and lineage tracking
Risk management and audit trails
Talent & Team Augmentation
Access world-class expertise when you need it
Experienced data engineers and architects
ML specialists and data scientists
Governance and compliance experts
Project managers and delivery leads
Training and knowledge transfer
Flexible engagement models

Powered by Databricks

We leverage the world's leading unified data and AI platform to deliver solutions that scale with your ambitions.

Unified Data Platform
Combine data warehousing and data lakes in a single platform, eliminating silos and reducing complexity.
  • Reduced data duplication
  • Faster time to insight
  • Lower infrastructure costs
Enterprise Security
World-class security and compliance features built for enterprise needs.
  • End-to-end encryption
  • Role-based access control
  • Audit logging and compliance
Scalability & Performance
Auto-scaling infrastructure that handles workloads of any size with optimal performance.
  • Automatic resource optimisation
  • Cost-efficient compute
  • High availability
AI & ML Native
Built-in tools for the entire ML lifecycle, from experimentation to production.
  • MLflow integration
  • AutoML capabilities
  • Model serving and monitoring
Multi-Cloud Flexibility
Deploy on AWS, Azure, or Google Cloud with consistent experience across platforms.
  • No vendor lock-in
  • Cloud agnostic architecture
  • Hybrid cloud support
Collaborative Workspace
Enable data teams to collaborate effectively with notebooks, dashboards, and version control.
  • Real-time collaboration
  • Version control integration
  • Shared workspace resources

Why Databricks for Australian Enterprises?

When comparing data platforms, Australian enterprises choose Databricks for its unique combination of power, flexibility, and enterprise readiness.

Databricks vs Snowflake

While Snowflake excels at SQL analytics, Databricks offers the complete data and AI platform Australian enterprises need:

  • Native ML and AI capabilities with MLflow and AutoML
  • Support for both structured and unstructured data
  • Open data lakehouse architecture (Delta Lake)
  • Real-time streaming and batch processing
  • Lower total cost of ownership for AI workloads

Databricks vs Azure Synapse

While Azure Synapse integrates well with Microsoft services, Databricks provides superior AI capabilities:

  • Multi-cloud flexibility (not locked to Azure)
  • More mature MLOps and model governance
  • Better performance for complex ML workloads
  • Collaborative notebooks with version control
  • Unity Catalog for comprehensive governance

The Databricks Advantage for Australia

3-5x

Faster time to production for AI models

50%+

Reduction in data infrastructure costs

100%

Unified platform for data and AI

Common questions

What's the difference between Get AI Ready and a Big 4 consulting firm?

Senior practitioners do the work, not graduates learning on your budget. Engagements run in four to twelve week sprints, not six to twelve month phases. We ship working AI in production rather than slide decks. We are platform-agnostic and certified across the major AI providers, so you do not get vendor-locked recommendations.

Are you really platform-agnostic? You partner with Databricks.

Yes. We are an official Databricks Delivery Partner and certified across Anthropic, OpenAI, Microsoft, and Google. The certifications mean we can deliver on those platforms confidently. They do not mean we push them when something else suits you better. If a different provider is the right answer, we say so on the discovery call.

What size engagements do you typically run?

Discovery and strategy work runs four to six weeks. Implementation engagements run eight to sixteen weeks for most enterprise scopes. Workshop-only training can run within a fortnight of first contact. We do not have a minimum spend; we scope to the outcome you actually need.

Which industries do you work with?

Banking and financial services, healthcare, government, energy and resources, manufacturing, and retail. The common thread is regulated, data-rich enterprises that need AI delivered with security and governance handled, not bolted on later.

How do you handle data security and governance?

Every engagement starts with the security model. We work within your existing controls (APRA CPS 234, ISM, Essential Eight, Privacy Act) rather than around them. For Databricks engagements, Unity Catalog governance is designed in from the first sprint, not retrofitted.

Can you work with our existing data platforms?

Yes. We deliver on whatever you run today. We have migrated organisations from Hadoop, Snowflake, Synapse, and on-prem warehouses, and we can also build on top of what you already have. Most engagements start by extending the existing stack, not replacing it.

How quickly can we start?

A discovery call this week, scoped proposal within five business days, kick-off inside two to three weeks for most engagements. If you have a hard deadline, we will tell you on the call whether we can hit it.

What does the discovery call cover?

Thirty minutes with a senior consultant. We learn your current state, the outcome you want, and the constraints you are working in. You leave with a clear sense of whether we are a fit and a sketch of how the engagement would shape up. Free, no obligation, no sales pitch.

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Mon to Fri, 8:30am to 5:30pm AEDT

+61 2 5300 3040

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