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Applied AI

Applied AI with criteria: what to automate first

Artificial intelligence amplifies the system it finds. Criteria for choosing use cases, setting information limits and verifying outputs.

Published on · 7 min read

Artificial intelligence does not put a company in order: it amplifies whatever order or disorder it finds. Applied to a clear process, it reduces repetitive work and speeds up analysis. Applied to a confused process, it produces confused results faster.

Process first, tool second

Before automating, you need to know what triggers the task, what output counts as correct and who is accountable for the result. Without those three answers there is no way to tell whether the automation improved anything, because there is no baseline to compare against.

How to prioritize use cases

Early use cases should meet several conditions at once.

  • Frequent task with a recognizable pattern.
  • Output a person can verify quickly.
  • Bounded consequence if the output is wrong.
  • Input information the company can share without compromising confidentiality.

Critical, infrequent tasks with severe consequences on error are poor first candidates, however attractive they look.

Information rules before the first pilot

Decide in writing which information may be entered into an external service and which may not: personal data, identifiable financial information, contractual documentation, credentials. That policy protects the company and also the people using it, because it removes case-by-case doubt.

Proportionate human oversight

Any output that affects a customer, a commitment or a figure needs a defined human checkpoint. Oversight does not have to be total: it has to be proportionate to the consequence of an error and assigned to a specific person.

Measure the effect, not the novelty

A pilot closes with a measurement: time spent before and after, errors detected, response time. Without that comparison, the AI conversation stays at the level of impressions and the company accumulates tools without knowing which ones add value.

Applied with these criteria, artificial intelligence stops being a bet and becomes another capability of the management system: bounded, supervised and evaluated like any other investment decision.

Next step

Start by knowing where your company stands

The Business Maturity Assessment evaluates six management dimensions in about ten minutes and returns a result per dimension with priority areas.