Real Results · Anonymised for Confidentiality
What AI actually delivers
Outcomes from real engagements across Australian businesses. Client details are withheld by agreement — the results are not.
Mid-size Melbourne law firm (40 staff)
Challenge
A mid-size Melbourne law firm was spending 2–3 hours per matter on initial document review. Junior staff turnover was high and the bottleneck was limiting how many matters the firm could take on.
Approach
We designed and deployed a RAG-based document review assistant trained on the firm's precedents and matter types. The tool drafts initial summaries, flags key clauses, and surfaces relevant precedents — all within the firm's existing document management system.
Result
Initial document review time dropped from an average of 2.5 hours to under 20 minutes per matter. The firm increased its matter intake by 35% without adding headcount.
Australian eCommerce brand (15 staff, $8M revenue)
Challenge
An Australian eCommerce brand was handling 1,200+ customer service enquiries per week. Response times averaged 18 hours and customer satisfaction scores were declining. The support team was stretched and seasonal spikes were unmanageable.
Approach
We implemented an AI-powered first-response system integrated with their helpdesk. The system handles order status, returns, and product queries autonomously. Complex or sensitive issues are automatically escalated with full context to human agents.
Result
80% of enquiries are now resolved without human involvement. Average first-response time dropped from 18 hours to under 3 minutes. Customer satisfaction scores increased from 3.2 to 4.6 out of 5.
Boutique financial advisory firm (12 advisers)
Challenge
A boutique financial advisory firm needed to demonstrate AI governance compliance ahead of new ASIC expectations. They had four AI tools in production but no policies, documentation, or risk assessments in place.
Approach
We conducted a full AI audit across their technology stack, built a governance framework aligned with Australian regulatory expectations, and produced an AI register covering all deployed models. We also ran a board-level briefing on AI risk and accountability.
Result
The firm passed their subsequent compliance review with no findings related to AI. Leadership reported significantly higher confidence in their regulatory position. The governance framework is now used as a template across two related businesses.
Healthcare practice network (3 locations, 60 staff)
Challenge
A healthcare practice network was spending significant administration time on clinical note summarisation, referral drafting, and insurance pre-authorisation. Clinicians were frustrated by administrative burden eating into patient time.
Approach
We delivered an AI training program for clinical and admin staff, then implemented a structured workflow using existing approved tools (no custom development required). The program included privacy compliance checks aligned with the My Health Records Act 2012 (Cth).
Result
Clinicians reported saving an average of 45 minutes per day on administrative tasks. The practice network expanded the program to all three locations after the initial pilot site results.
Regional construction company (80 staff, $40M revenue)
Challenge
A regional construction company wanted to adopt AI but had no clarity on where to start. Leadership had seen competitors mention AI but had no internal expertise to evaluate tools, risks, or opportunities.
Approach
We ran an AI Strategy engagement: discovery workshops with leadership and operational staff, a technology audit, competitive landscape review, and a phased 12-month AI roadmap prioritised by ROI potential. We also ran a half-day executive briefing.
Result
Leadership left with a clear, actionable roadmap. In the 6 months following, the company implemented two of the recommended AI workflows (project scheduling and tender analysis), reporting combined time savings of 12 hours per week.
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