Insights
Product, design, AI, and engineering perspectives from our team.
AI Vendor Procurement: An RFP Framework for True TCO
Comparing AI vendors on licence price alone almost always understates the real cost. This framework walks through how to structure an RFP, classify vendors by commercial model, and model total cost of ownership across integration, operations, and exit.
Fractional Head of Data: Leadership Without a Full-Time Hire
Growing organisations often need senior data leadership before they can justify — or fill — a full-time hire. This guide covers what a fractional Head of Data does, when it makes more sense than a permanent hire, and how it complements existing engineering teams.
AI Vendor Risk: Contracts, SLAs & Liability for AI Features
Embedding third-party AI into your product introduces risks that standard SaaS contracts and SLAs were never designed to cover. Here's what technology and business leaders need to check before they sign.
AI Vendor Risk Management: Contracts, SLAs & Liability
Embedding a third-party AI model changes your risk exposure in ways standard SaaS contracts don't cover. Here's what actually needs to be in the agreement — from SLAs to indemnity to data handling.
Data Science Consulting in Melbourne: A Scoping Guide
Scoping your first data science engagement well matters more than picking the right vendor. This guide covers problem framing, data readiness checks, deliverable shapes, and pricing models for Melbourne-based mid-market companies.
MLOps Consulting: What Australian Mid-Market Teams Actually Need
Enterprise MLOps advice rarely fits a mid-market team running a handful of models with a small data team. Here's what a right-sized MLOps consulting engagement covers — minimum viable stack, build-vs-buy tooling, team shape, and a maturity model.
Planning an AI Engagement: What Production Delivery Requires
Before committing budget to an AI initiative, it's worth agreeing on what production-grade delivery actually means. This guide covers the standards worth setting for any AI engagement — from production track record to MLOps planning and IP ownership.
AI Consulting Melbourne: How to Evaluate an AI Consultancy
Evaluating an AI consultancy in Australia comes down to a few concrete questions: who actually does the work, do they have production deployments, and can they speak to Australian Privacy Principles compliance. This guide gives business leaders a practical framework for assessing fit, asking the right questions, and understanding how mid-market AI engagements are typically structured.
Fractional CTO Services in Melbourne and Australia
A fractional CTO is a senior technology executive who works with your business on a part-time retainer basis — providing strategic leadership and architecture oversight without the cost of a full-time hire. This guide covers how fractional CTO engagements work in the Australian market, what they typically cost, and how to decide whether one is right for your business.