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I didn’t get into systems because systems sounded interesting. Operations were breaking.
I started running a business young, and during the pandemic there wasn’t much room for processes that only looked organized.
There were customers, logistics, people, marketing, money, and problems that still needed decisions.
Later, working in aviation gave me a very different environment, but reinforced something similar:
Complexity doesn’t disappear. Good operations stop it from spreading.
And after working across founder-led businesses, agencies, SaaS, product, engineering, and operations, I keep seeing versions of the same problem.
A workflow problem can actually be an ownership problem.
A missed deadline can actually be an unresolved decision.
An automation problem can actually be a broken process being automated.
That’s why I don’t start by asking what tool we should build in.
I start with:
- What’s actually blocking execution?
- Who owns it?
- What decision is missing?
- What’s the smallest change that gets things moving again?
Then we build what the business actually needs.
Diagnose first. Build what matters.
Until the next problem,
Marilit
#BusinessOperations #SystemsThinking #OperationalStrategy #ProcessDesign
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The question I ask before automating anything: "What does this look like on a Tuesday in month four?"
Not the demo. Not launch day. Month four, when the person who championed it has moved on, the data has drifted, and the model has quietly started doing something slightly different.
The automations that survive month four have three things: a human somewhere in the loop, a log a non-engineer can read, and a kill switch that doesn't need me. The PO intake agent I posted last week is built that way on purpose. It registers and notifies, people decide, and every email in and out is logged.
If yours has all three, you're fine. If it has none, I'd love to hear how it's going. I collect these stories.
the month four test is so spot on zahid. everyone designs for the launch demo, but silent prompt drift kills more workflows than actual broken APIS.
Home service businesses don't need more software. They need their existing processes to work together.
Think about a typical customer journey:
A homeowner needs an HVAC repair.
They call the business.
The call is missed because the technician is on-site.
They leave a voicemail.
Nobody follows up until later.
Then the customer calls another company.
This isn't a lead-generation problem.
It's a workflow problem.
AI automation can connect the entire process:
Customer enquiry → AI response → Qualification → Scheduling → CRM → Follow-up → Human handoff
For example, an AI system can:
• Respond to calls, texts, WhatsApp, or website enquiries
• Understand what service the customer needs
• Collect location and job details
• Check technician availability
• Schedule appointments
• Send confirmations and reminders
• Follow up on estimates
• Update the CRM automatically
• Escalate urgent or complex requests to the team
The important part is that AI doesn't need to replace the technician.
It handles the operational work around the technician.
That means fewer missed calls, faster responses, less administrative work, and a smoother customer experience.
And this applies across:
HVAC
Plumbing
Electrical
Cleaning
Landscaping
Pest Control
Roofing
Appliance Repair
The biggest opportunity for home service businesses isn't simply getting more enquiries.
It's building a system that makes sure every enquiry gets the right response and the right next step.
That's where AI automation can become a real business advantage.
