Insights
Product, design, AI, and engineering perspectives from our team.
AI Copilots for HR, Finance and Legal Workflows
A back-office AI copilot is a scoped AI system that assists HR, finance or legal teams with a specific workflow. This guide explains when an off-the-shelf copilot is enough and when the compliance and system complexity of the task demands custom integration.
AI Tariff and Geopolitical Risk Monitoring for Logistics
Geopolitical and tariff risk monitoring is becoming a real planning problem for Australian logistics operators. Here's what the data infrastructure, AI, and governance actually require — without overclaiming what AI can predict.
Responsible Disclosure & Bug Bounties for AI SaaS
AI features introduce attack surface — prompt injection, data exfiltration via retrieval, system prompt leakage — that most existing disclosure policies and bug bounty scopes don't cover. Here's how to close that gap.
AI-Assisted Estimation for More Predictable Software Delivery
AI-assisted estimation tools can sharpen sprint planning by surfacing historical patterns and outliers in delivery data — but they cannot replace the judgement calls at the heart of estimating genuinely uncertain work. Here's a practical look at where these tools help, and where they don't.
Feature Flagging and Progressive Delivery for AI Rollouts
AI features fail differently to normal software — unpredictably, not consistently. Here's how growing engineering teams use feature flags, canary releases and staged rollouts to limit the blast radius when that happens.
Self-Serve Analytics Enablement for Non-Technical Teams
Self-serve analytics only works when the data foundation, semantic layer, and training are right — not just the dashboard tool. A practical guide to tooling, access models, and enablement for data leaders.
AI Content Provenance and Disclosure Standards Explained
Content provenance standards like C2PA record how AI-generated content was made, but Australia has no mandatory disclosure law — only voluntary guidance and existing consumer protection obligations. Here's what that actually means for shipping teams.
MDM and Identity Resolution: A Guide for Data Leaders
Master data management and identity resolution solve the same underlying problem: too many systems, too many conflicting versions of the truth. Here's how matching, merging, and governance actually work in practice.
Accessibility Compliance in Application Modernisation Projects
Accessibility isn't a QA checklist to run at the end of a modernisation project — it's an architecture decision. Here's how to audit legacy systems against WCAG 2.2, understand the DDA's actual legal position, and sequence remediation against a rebuild, re-platform, or strangler fig approach.