Insights
Advice, thoughts and opinions on software, AI, industry and the work behind it.
The stock number everyone quotes and nobody trusts
Sell it, promise it, reorder it, cost it: every one of those runs on a stock figure that's quietly wrong. Fix which system owns the truth before you connect anything or add any AI.
The pump that failed on you had a history you never read
A pump rarely dies without notice. The readings drifted, the callouts clustered, the history was there. Water data pays off when it makes the warning visible and the irrigation call a costed one, not a hunch.
You lost that job because the quote took three days
Customers ring three tradies and often go with whoever quotes first and clearest. Automation can kill the admin drag on quoting, as long as it never tries to price the job itself.
The bottleneck in your accounting firm isn't the work. It's chasing the records.
The hours don't disappear into the accounting. They go into chasing the document that never arrived and the workpaper prep before the real work starts. That's where AI buys back capacity, if confidentiality shapes it first.
The pothole reported three times: council requests that vanish into an inbox
Nothing burns community trust like a request that disappears. The fix isn't a chatbot, it's routing that works, a status the resident can see, and a record that stands up when a decision is questioned later.
The defect that took a truck off the road died in a text message first
The breakdown that stranded a truck was often flagged by a driver days earlier, in a message nobody actioned. Fleet maintenance automation is mostly about not losing the warning you already got.
The quote priced off last year's numbers is where your workshop leaks money
A workshop's margin doesn't vanish in one big mistake. It leaks through quotes priced off stale numbers, variations never captured and job history nobody can search. That's a systems problem, not a discipline one.
The spray record you can't find in March is worth more than any AI
You've got years of paddock history spread across apps, notebooks and a shoebox of dockets. The value isn't a clever model, it's making one record set searchable so the audit and the agronomy both get easier.
Your feedlot already keeps the records. AI just makes them earn their cost.
Most feedlot data gets entered because you're required to keep it, then never looked at again until an audit. The win is making those forced records tell a manager something before the weekly report.
SEO is more than keywords
A keyword report measures the easiest thing to measure. Getting found is mostly content, presence, reviews and keeping your own details true.
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