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Case Studies

Real results from real engagements. Here's how we've helped Australian organisations put AI to work.

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Financial Services

AML Transaction Monitoring for a Mid-Tier Australian Bank

Challenge

Manual AML compliance review was costing over $2M per year with a 72-hour average case resolution time. Regulatory pressure was increasing, and the existing process couldn't scale.

Solution

We deployed AI-powered transaction monitoring with custom ML models for anomaly detection, integrated with the bank's existing core banking systems. Automated initial triage of alerts dramatically reduced manual review workload while improving detection accuracy.

Results

  • 65% reduction in false positives
  • Case resolution time down from 72 hours to 8 hours
  • $1.2M annual cost saving
  • Zero regulatory findings in next audit
Timeline: 12 weeks to production
Custom ML Models Python AWS Bedrock Kafka Real-Time Data Pipelines
Professional Services

AI-Powered Document Processing for a National Law Firm

Challenge

Lawyers were spending 40% of billable time on document review and precedent research across a library of over 500,000 documents. The firm needed to improve efficiency without compromising quality.

Solution

We built a RAG-based knowledge system with intelligent document classification, semantic search, and AI-assisted drafting. The team received hands-on prompt engineering training tailored to legal contexts, ensuring high adoption from day one.

Results

  • 60% faster document review
  • 3x more precedents surfaced per matter
  • 85% lawyer adoption within 8 weeks
Timeline: 8 weeks pilot, 4 weeks full rollout
Claude Pinecone LangChain Azure Custom Embeddings
Financial Services / Insurance

Customer Service AI Agents for an Insurance Provider

Challenge

Over 12,000 monthly customer enquiries with a 45-minute average response time and high staff turnover in the contact centre were driving up costs and eroding customer satisfaction.

Solution

We deployed a multi-agent system — a router agent triages enquiries, while specialist agents handle claims status, policy questions, and renewals. Complex cases are escalated to human staff. The system integrates with Salesforce and the existing phone system.

Results

  • 70% of enquiries resolved without human intervention
  • Average response time under 2 minutes
  • CSAT score up 18 points
  • Contact centre staff refocused on complex claims
Timeline: 10 weeks
CrewAI GPT-4.5 Salesforce n8n LangSmith
Government

AI Ways of Working Transformation for a Government Department

Challenge

A department of 2,000+ staff with low AI literacy, no governance framework, and leadership concerned about responsible AI obligations under the National AI Plan needed a structured path to AI adoption.

Solution

We delivered executive AI strategy workshops, a department-wide AI enablement programme, and prompt engineering training. We established an AI Champions network of 40 champions across 8 divisions and built an AI governance framework aligned with government Responsible AI policy.

Results

  • 68% of staff using AI tools weekly within 3 months
  • 12 AI-assisted processes identified and implemented
  • Governance framework approved by secretary
  • On track for December 2026 Privacy Act compliance
Timeline: 16 weeks programme, ongoing support
ChatGPT Enterprise Claude Team Microsoft Copilot Custom Internal Tools

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Melbourne · Sydney, Australia