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Ran a small experiment last week, messaged around 40 small business owners across real estate, fitness, and food, just asking one simple question about how they currently keep track of things. No pitch, no ask, just curious.
Almost every reply said some version of the same thing: "manually" or "I just remember." A few said they have an app or a register but honestly aren't sure it's accurate anymore.
What struck me wasn't that they're doing something wrong. It's that nobody ever showed them a better way that didn't involve learning complicated software or spending a fortune. So they just kept doing what worked well enough, until it didn't.
That gap between "good enough for now" and "this is actually costing me" is quietly where most small businesses lose money without realizing it.
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Issue 01 of The Leak Report is out.
Most AI advice aimed at small businesses is written for companies that do not look like yours. It assumes a data team, a backlog of clean records, and someone whose job is to own the rollout.
In a 5–50 person service business, the person evaluating AI is usually also the person quoting jobs, chasing payment, and covering for whoever is on leave. That is not a smaller version of an enterprise problem. It is a different problem.
Inside: the four workflows that quietly leak money, the one distinction that decides whether a project works, four tests a first project has to pass, and what it costs — published, because a quote request wastes your time.
It is deliberately unexciting. The most valuable thing in these pages is a test that sends some projects back.
Highly professional AI for business integration! Explaining machine learning models through clean UI is brilliant.
Growth gets easier when your business runs on systems, not scattered tasks. 🚀
#KALNET #ERP #BusinessGrowth #Automation
Something I keep relearning after 20 years of delivery work: the clients who close fastest are the ones who were already reading me before they reached out.
Not cold leads. People who saw how I handled a broken launch or a production fire, sat with it for a while, and messaged when their own project hit the same wall. The discovery call confirms the decision. It doesn't start it.
So here's what I'm building toward, openly.
I run delivery at Galindo Consulting Group. 475+ software products shipped across SaaS, AI, fintech, e-commerce, web, and mobile, owning everything from scoping through QA, launch, and production debugging. The projects I want more of are rescues: delayed launches, MVPs that broke, production issues nobody can trace, delivery that stalled and nobody can say exactly why.
We're testing a paid Rescue Assessment for exactly those situations. It covers the bottleneck, the risks, the recommended fix, a delivery plan, and an estimate. When it makes sense, it gets credited toward the larger engagement.
If you're in that spot, or you know a founder who is, here's what I need to tell you quickly whether it's a fit: the bottleneck as you see it, your target date, your current stack, and your budget range. Four things. If we're not a match I'll say so, and you'll still walk away with a clearer picture of your problem than you came in with.
Curious how others here handle this: do you qualify projects before the first call, or figure out fit live?
