Aberrant AI

Blog / Automation strategy

Automation fails when process design is skipped

Digitising a broken workflow makes the broken workflow faster, louder, and harder to unwind.

1 min readMay 2026

Operating note

Practical guidance, not generic AI commentary.

Speed is not the first goal

A workflow that is unclear, duplicated, or approval-heavy should not be automated as-is.

The first goal is clarity: what starts the workflow, who owns it, what data matters, what exceptions exist, and what outcome proves it worked.

Automation should remove ambiguity

A strong automation layer reduces interpretation. It defines states, owners, review points, notifications, dashboards, and audit trails.

What to redesign first

Remove duplicate entry, clarify approval rules, define the source of truth, and separate normal cases from exceptions before building software around the process.

Related

Keep challenging the same workflow.

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How founders should choose the first workflow to automate

A practical rubric for founders choosing the first automation target: frequency, friction, control risk, data readiness, and repeatable exceptions.

6 min readJune 2026
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The AI automation buyer guide for enterprise leaders

How founders, CFOs, and automation buyers can separate useful AI workflow systems from demos that collapse when they touch real operations.

4 min readJune 2026
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Next action

Redesign My Workflow

If this describes your current workflow, the next step is to map the bottleneck, approval gate, and reusable rule path.