Insights
Twelve cornerstone articles on the things that actually matter when you're shipping AI in an Australian regulatory environment. Plus shorter pieces as the work surfaces them.
Featured
AI Governance · 13 min read
What the Voluntary AI Safety Standard's 10 guardrails actually mean in practice — and how to implement each one without paralysing the AI work that's already moving.
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CornerstoneAI Governance · 12 min read
How AI engagements map to APRA's existing prudential standards — what CPS 234 (information security), CPS 230 (operational risk) and CPG 235 (data risk) require of any AI system you put in production.
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CornerstoneGenerative AI Implementation · 14 min read
A decision framework for when retrieval-augmented generation earns its keep, when fine-tuning is the right answer, and when prompting alone is enough. With the cost-and-latency reality of each in 2026.
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CornerstoneAI Strategy & Roadmapping · 12 min read
What AU buyers actually pay for AI consulting in 2026 — who's pricing what, where the bands are moving, and how to read a proposal.
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CornerstoneAI Strategy & Roadmapping · 14 min read
The pattern is consistent enough to be useful. What separates AI pilots that ship into production from the ones that quietly die six months in.
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CornerstoneAI Strategy & Roadmapping · 12 min read
The numbers a CFO needs to see before approving AI investment — and how to keep them honest after the system ships.
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CornerstoneAI Strategy & Roadmapping · 14 min read
A senior, opinionated analysis of where AI adoption really stands in the Australian mid-market in 2026 — the ambition-vs-execution gap, why pilots stall, the governance shift, and a maturity framework that separates the leaders from the stuck.
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All insights, grouped by cluster
What AU buyers actually pay for AI consulting in 2026 — who's pricing what, where the bands are moving, and how to read a proposal.
12 min read · Cornerstone
The diagnostic companion to the AI Readiness Assessment. The dozen questions that filter "ready to build" from "needs to do other work first."
9 min read · Cornerstone
The pattern is consistent enough to be useful. What separates AI pilots that ship into production from the ones that quietly die six months in.
14 min read · Cornerstone
The numbers a CFO needs to see before approving AI investment — and how to keep them honest after the system ships.
12 min read · Cornerstone
The questions to put in an AI consulting RFP that filter the firms with engagement-shipping depth from the firms that are reselling someone else's platform.
8 min read · Cornerstone
Why Australian mid-market organisations hire a fractional AI director for on-demand AI leadership — what the role does, when it beats a full hire or big-4 engagement, and when you don't need one.
6 min read
A senior, practical guide to AI project rescue in Australia — how to diagnose why a stalled or failing AI pilot went wrong, and a concrete rescue sequence to stabilise, re-scope and ship it, or decide to stop.
6 min read
A practical value-vs-feasibility scoring model for AI use case prioritisation, run as a workshop and turned into a sequenced roadmap — with honest advice on killing pet projects.
7 min read
A practical, board-ready AI business case template covering the four value categories, the honesty discount, real costs, payback and a three-year view, governed risks, and the decision ask.
7 min read
A practical due-diligence checklist for AI vendor selection in Australia — the questions that separate firms with real delivery depth from resellers, covering track record, seniority, data residency, security, evaluation discipline, and exit terms.
7 min read
A practical AI strategy framework for Australian mid-market organisations — turning ambition into a sequenced, funded roadmap grounded in business outcomes, honest capability assessment and governance from day one.
8 min read
A finance-leader's guide to AI spend: where it pays back, what metrics to demand, how to stage-gate investment so you can stop early, and how to read an AI proposal like a CFO.
7 min read
Why capability building through AI training beats one-off tooling for Australian enterprises, and what good executive, practitioner and general-staff programs actually cover.
6 min read
An honest, practitioner's comparison of AI consulting options for Australian buyers — boutique specialists, the Big Four, managed-services integrators, and building in-house — with a plain decision guide for choosing the right partner.
7 min read
A senior, opinionated analysis of where AI adoption really stands in the Australian mid-market in 2026 — the ambition-vs-execution gap, why pilots stall, the governance shift, and a maturity framework that separates the leaders from the stuck.
14 min read
A decision framework for when retrieval-augmented generation earns its keep, when fine-tuning is the right answer, and when prompting alone is enough. With the cost-and-latency reality of each in 2026.
14 min read · Cornerstone
When to use an off-the-shelf AI product, when to build your own integration, when to fine-tune — with the trade-offs that matter at AU mid-market scale.
10 min read · Cornerstone
A practitioner's guide to RAG consulting in Australia: what breaks between a slick demo and a production retrieval-augmented generation system, and a pragmatic path from POC to production.
8 min read
A vendor-neutral framework for AU enterprises choosing between GPT, Claude, Gemini and open-weight models — covering capability fit, cost, data residency, safety and mixing models per task.
8 min read
A practical, vendor-neutral guide for Australian enterprises choosing between ChatGPT Enterprise, Microsoft 365 Copilot and Claude for staff rollout — covering data handling, security, integration, cost and change management.
8 min read
A vendor-neutral, decision-focused guide to choosing and operating a vector database for RAG in Australia — covering selection criteria, data residency, hybrid search, and the real cost of running one in production.
7 min read
When agentic AI earns its keep over RPA, when RPA is still the right answer, and how to evaluate a workflow before committing to either. Honest, opinionated, no vendor agenda.
11 min read · Cornerstone
What the Model Context Protocol actually is, when it earns its place in an enterprise AI stack, and how to stand up your first MCP server safely — with the data-residency and governance realities that matter in Australia.
9 min read
A senior practitioner's guide to AI agent evaluation: what to measure, how to build an eval harness with labelled real requests, running it in CI, and setting acceptance criteria before you ship.
8 min read
A practical guide to AI agents and agentic automation for Brisbane and Queensland enterprises — where the real opportunities sit across resources, agriculture, logistics, government and health, and what to start with.
6 min read
What the Voluntary AI Safety Standard's 10 guardrails actually mean in practice — and how to implement each one without paralysing the AI work that's already moving.
13 min read · Cornerstone
How AI engagements map to APRA's existing prudential standards — what CPS 234 (information security), CPS 230 (operational risk) and CPG 235 (data risk) require of any AI system you put in production.
12 min read · Cornerstone
How the APPs apply to LLM-using systems — what consent looks like, where the data flows trip the OAIC's expectations, and the practical guardrails.
13 min read · Cornerstone
The questions a board should ask management about AI. Aligned to the Voluntary AI Safety Standard and the audit-committee-friendly framing AU boards actually need.
9 min read · Cornerstone
A practical guide to building an AI risk register for Australian risk and governance teams — the columns that matter, a worked example of common AI risks, and how it maps to the Voluntary AI Safety Standard and APRA CPS 230.
8 min read
A practical AI governance framework for Australian organisations that maps the Voluntary AI Safety Standard's ten guardrails to a working operating model — policy, accountability, intake gates, risk, assurance and records — governed in proportion to risk.
8 min read
How Australian lenders can use AI for credit risk — scoring, early-warning and collections — while meeting APRA CPS 230 operational-risk, model risk and explainability expectations that make black-box models hard to deploy in lending decisions.
7 min read
A practitioner's guide to AI for fraud detection in Australian banking and payments: real-time scoring, the false-positive trade-off, model drift, and the AML and APRA regulatory backdrop.
7 min read
How Australian wealth and advice firms can use AI across client productivity, portfolio research and compliance monitoring — and the guardrails that keep a human accountable for advice.
7 min read
A practical, senior guide to AI for medical imaging in Australia: radiology use cases, the TGA software as a medical device reality, clinical validation, workflow integration and patient privacy.
7 min read
A practical, honest guide to AI for Australian pathology labs — covering digital pathology, image analysis, QA use cases, NATA and RCPA accreditation, validation, LIS integration and privacy.
6 min read
A practical guide to AI for WA mining and resources, with Perth as the operational hub: predictive maintenance, ore-grade estimation, safety, processing optimisation, and how to start on capital-heavy operations.
7 min read
A practitioner's guide to AI predictive maintenance in Australian mining: predicting failure on fixed and mobile plant from sensor and OT data, the site data-integration realities, and how to frame ROI for capital-heavy operations.
7 min read
A practical guide to AI for law firms in Australia — high-value use cases, the real risks around privilege, confidentiality and accuracy, and where to safely start.
7 min read
A practical, senior guide to AI for accountants and advisory firms in Australia: real use cases, the accuracy and confidentiality risks, and how to start safely without breaching your duty to verify.
6 min read