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Thought Leadership

Research & Analysis

Technical deep-dives, strategic perspectives, and industry analysis from Australia's Claude-native specialists.

Latest Posts

Field notes from Adaptation AI’s own work — frameworks, patterns, and measurement audits we use on real engagements.

Measurement·7 min read

The LinkedIn attribution blind spot — why your B2B campaign reports zero conversions even when the funnel works

We audited our own LinkedIn ads pipeline end-to-end. Best-in-class clicks. Zero conversions. The campaign was healthy. The plumbing was broken. Here's the four-layer audit you should run on yours before scaling spend.

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Strategy·9 min read

The AI Pilot Trap — why ~90% of enterprise AI pilots never ship, and the four gates that separate a demo from a production system

Eleven of twelve AU mid-market AI pilots we audited had working prototypes. Only three had production-ready governance, cost, integration, and ownership. The pattern, and the five questions to bring to your next pilot review.

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Framework·7 min read

The 4D Framework — Anthropic's own playbook for human-AI work (and why most AU firms don't use it by name)

A 3x4 matrix that covers every real decision you'll make about an AI investment. The single framework that stopped our own AI work going sideways.

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Upcoming Publications

In-depth research underway — subscribe below to be notified when each piece is published.

Publishing May 2026

Agentic Architecture: Building Production Multi-Agent Systems

How Agent Teams, the Claude Agent SDK, and adaptive thinking change enterprise development — from single agents to orchestrated workflows running autonomously for hours.

Publishing Q2 2026

MCP at Scale: 97 Million Downloads and the Linux Foundation Era

Model Context Protocol is now the de facto industry standard for AI integrations. What MCP v2 and Linux Foundation governance mean for enterprise architecture.

Publishing Q2 2026

AI Governance in Australia: A Practical Framework

Navigating the Privacy Act 2026, IRAP, and emerging AI regulations whilst maintaining deployment velocity.

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