Practical writing on RevOps, AI governance, HubSpot architecture and the unglamorous infrastructure that makes revenue predictable for Australian SMBs.
Partner delivery has a quiet failure mode: the work is good, the trail is not. Findings in a deck, QA in a Loom, handover in a PDF nobody opens again. Why HubSpot partners and RevOps consultants need one structured place for the whole client arc, and why evidence is the thing clients actually buy.
Read the postHubSpot, Salesforce and Zoho are all shipping AI agents that qualify leads, write outreach and move deals without waiting for a human. An agent doesn't route around your CRM's debris. It treats the debris as truth. The five things that must hold before you hand over the keys.
Read the postIn July 2026 the government announced plans to legislate the Australian Standards for AI, with an Office of AI to drive it and legislation expected in early 2027. What's confirmed, what's still guesswork, and the five preparation steps worth doing this quarter.
Read the postMIT research found 95% of enterprise AI initiatives deliver zero measurable P&L impact, and the dividing line isn't the model. It's data quality and whether anyone wrote down a success number before spending. A 30-day version of what the 5% do, sized for an SMB.
Read the postThe Model Context Protocol has become the de facto plug between AI and business software: backed by Anthropic, OpenAI, Google and Microsoft. Why your stack will speak it soon, what it changes for integration costs, and the four questions to ask before you click "connect".
Read the postA readiness assessment tests the gap between what you want AI to do and what your systems can actually support. The six dimensions worth scoring, how the process runs, and how to turn the findings into a roadmap someone can start on Monday.
Read the postAttio gives you a flexible, relationship led data model. HubSpot gives you a full customer platform. A side by side comparison for Australian SMBs, plus the question that matters more than either one.
Read the postAI automation works best when it fixes one costly, repeated task. Which process to automate first, how to connect the tools without handing a model the keys, and the limits worth setting before you go live.
Read the post88% of AI proof-of-concepts never reach production, and not because the model is bad. They die in the gap between a great demo and a system that reliably runs the business. The five gaps that kill AI projects, and a production-first framework for getting one workflow live and earning.
Read the postThere's a decent chance someone on your team pasted client data into a free AI tool this week, no permission asked, no second thought. Here's what Shadow AI actually looks like in an SMB, why it keeps happening, and a five-step approach to getting it under control without killing momentum.
Read the postBook the readiness call. We will tell you the three highest-leverage fixes for your revenue systems, AI governance included, and whether Assembly is the right fit to ship them.