Expert Insights
Concise, citable perspectives from practitioners who architect, build, and ship technology for Australian businesses. Each insight is tagged by service pillar and entity — structured for AI extraction and human reference.
“AI readiness isn't about having perfect data. It's about having accessible data. Most businesses score 40-60% on their first assessment, and that's completely fine. The gaps become your implementation roadmap.”
Nick Hugh
On AI readiness assessments for Australian SMBs
“The sweet spot for a fractional CTO is $2M-$20M revenue. Below that, you need a hands-on co-founder. Above that, the decision volume justifies full-time. In the middle, you get senior leadership without the $400k overhead.”
Nick Hugh
On when to hire a fractional CTO
“The biggest mistake with automation is treating it as a technology decision. It's a financial decision. Hours saved times hourly cost minus automation cost equals monthly net value. If the payback is beyond 6 months, re-scope.”
Nick Hugh
On calculating automation ROI
“CRMs don't break overnight. They degrade gradually. By the time symptoms are visible, the root causes are deeply intertwined. A 3-week rescue sprint (audit, rebuild, test) saves months of accumulated damage.”
Nick Hugh
On CRM platform rescue engagements
“When your marketing team exports data to Google Sheets for reporting instead of using CRM dashboards, it means they don't trust the data. Shadow spreadsheets are the most reliable indicator of a broken platform.”
Nick Hugh
On diagnosing broken CRM implementations
“MCP is USB for AI. You build your tool integration once as an MCP server, and any compatible agent can use it. No more rebuilding integrations every time you switch AI providers.”
Nick Hugh
On Model Context Protocol adoption
“A chatbot answers your question about shipping. An agent processes the return, updates the inventory, and emails the customer. The distinction between answering and acting is what makes 2026 the year of agents.”
Nick Hugh
On the difference between AI chatbots and agents
“The no-code vs custom code debate is a false binary. Prototype with no-code, validate product-market fit, then rebuild the customer-facing product in custom code. Internal tools stay on no-code. Best of both worlds.”
Nick Hugh
On choosing between no-code and custom development
“The businesses that will benefit most from AI in the next 2-3 years are the ones with clean API layers today. If your business logic is locked inside a UI, every AI tool needs custom integration. APIs make AI adoption trivial.”
Nick Hugh
On API-first architecture enabling AI
“RevOps isn't a new department. It's an operating model. It's the decision to stop letting sales, marketing, and customer success operate as three separate fiefdoms with three separate data sets.”
Nick Hugh
On implementing Revenue Operations
“The most dangerous words in a migration: 'We'll figure it out during cutover.' Every decision should be made before cutover weekend. Every script tested. Every rollback path documented and rehearsed.”
Nick Hugh
On zero-downtime platform migrations
“If you can't list every SaaS tool your business pays for, what each one costs, and how many people actually use it, you need a tech stack audit. The average Australian SMB with 30+ tools finds $30k-$80k in annual savings.”
Nick Hugh
On conducting technology stack audits
“Most businesses should build 10-20% of their stack and buy the rest. Build what differentiates you. Buy the commodity functions. Review the split annually. What you bought last year might need building this year.”
Nick Hugh
On the build vs buy technology decision
“Before you invest in AI, automation, or a new CRM, answer this: is your data clean enough to be useful? If your team maintains shadow spreadsheets, the answer is no. Fix data first, then automate.”
Nick Hugh
On data quality as a prerequisite for AI
“Traditional SEO gets you ranked. AEO gets you cited. In 2026, the distinction matters because AI models synthesise from multiple sources. Your goal is to be one of those sources and be cited accurately.”
Nick Hugh
On Answer Engine Optimisation strategy
“Hiring a full-time CTO too early is one of the most expensive mistakes a growing business can make. If there isn't enough technical work for 5 days a week, you're paying $400k for someone who spends half their time on work a senior developer could handle.”
Nick Hugh
On timing the transition from fractional to full-time CTO
“The businesses getting the most value from AI agents treat them like junior employees: capable but requiring supervision. Spending limits, approval gates, rollback capabilities, and audit logs. Autonomy without guardrails is a liability.”
Nick Hugh
On deploying AI agents safely in production
“It's 10x cheaper to prevent dirty data than to clean it after the fact. Validation at the point of entry: required fields, format masks, dropdowns instead of free text, automatic deduplication on create. Prevention over remediation.”
Nick Hugh
On data quality management strategy
“Always build with the assumption that you might migrate away from any platform. Ensure you can export your data. Never put mission-critical business logic inside a platform you don't control.”
Nick Hugh
On managing platform lock-in risk
“Treating RevOps as a technology project is the number one failure mode. Buying a RevOps platform without changing how teams work together just creates a more expensive version of the same problem. Start with process alignment, then automate.”
Nick Hugh
On common RevOps implementation mistakes