How we work · principle

Fix the process before adding AI

Understand the real work, remove avoidable steps and compare simpler interventions before automating a broken process.

Do not automate confusion. Map the work and improve the process before choosing an AI capability.

Use it on your own work

Bit asks what you are working on and applies this principle with you.

Ask Bit

Questions to ask

What decision does this process enable?
Which steps can be removed or clarified?
Can existing software or a fixed rule do this reliably?
Where is interpretation genuinely useful?

0 of 4 answered

See the difference

Good boundary

Before automating a Monday report, a team removes unused sections, agrees on one data owner and lets existing reporting software calculate the stable metrics. AI is tested only for a draft commentary.

What not to do

A company buys an AI reporting tool to reproduce an inconsistent report that nobody uses to make a decision.

Watch for this failure

The new system produces the same waste faster while adding checking, subscription and integration costs.

How it works

A task taking time every week does not prove that AI is the right way to improve it. The task may exist because ownership, information or rules are unclear.

Compare a clearer process, existing software and fixed rules before adding AI. Use AI where interpreting information or drafting something adds useful value.

The Human Bit method →

Build the capabilityRead the related AI 101 lesson →