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Michael Zelensky
Michael Zelensky

Posted on Edited on Originally published at liteed.com

Most Automation Isn't Really Automation

Most “Automation” Isn’t Really Automation

A practical look from a developer’s perspective

Developers see it every day.

A spreadsheet macro. A Python script on someone’s laptop. A cron job gluing two APIs. An AI tool used for a quick repetitive task. Every team has these microautomations lying around.

Useful, yes.

Scalable, no.

If you want the long-form writeup that inspired this, it’s here: https://liteed.com/blog/automation-approach.


1. Microautomation: helpful, but fragile

Microautomation shows up as:

  • scripts
  • exports
  • macros
  • tiny AI helpers
  • scheduled tasks

They reduce friction but fail the moment you need:

  • documentation
  • monitoring
  • handoff between people
  • consistent behavior
  • scaling across teams

This helps the individual, not the organization.


2. AI and agents are just the new microautomation

AI looks powerful, but in practice behaves like upgraded macros:

  • great for isolated tasks
  • no state
  • no supervision
  • no guarantees
  • no integration into real processes

An agent writing reports or cleaning data helps a person. It does not automate the workflow.


3. Heavy tools like CRM and ERP don’t solve this

CRMs, ERPs, and PM suites offer built-in workflows.

They solve standard patterns, but real business processes rarely match the template.

Common problems:

  • partial automation
  • rigid flows
  • painful customization
  • limited integration
  • yet another silo

Buying software is not the same as automating a process.


4. Real automation lives in the BPA layer

The BPA layer is where real orchestration happens. It connects:

  • microtasks
  • AI calls
  • system-to-system steps
  • data transformations
  • approvals
  • retries
  • routing
  • audit trails
  • observability

This is what turns local shortcuts into a predictable system.

A BPA layer transforms:

  • a checklist into a workflow
  • a script into a service
  • an AI agent into one controlled step
  • a CRM into a participant instead of the center

5. A platform ties everything together

A proper automation platform gives developers structure:

  • flow definitions
  • integrations
  • safe AI execution
  • monitoring
  • governance
  • consistency
  • repeatability

Without this layer, companies accumulate disconnected hacks forever.

For reference, the platform I build follows this exact approach: https://liteed.com.


Final thoughts

Most “automation” at work is microautomation. Helpful and clever, but fragile and isolated.

Real automation requires:

  • orchestration
  • state
  • integration
  • reliability
  • observability

Without these elements, it remains just another smart script on someone’s machine.

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