Answer library · Practical AI

Where AI actually helps business operations—and where it doesn’t.

AI helps when operational work requires interpretation of variable language, documents, images, or patterns. It is usually unnecessary when clear rules, integration, or deterministic automation can solve the problem more reliably. Start with the process and decision, then choose the simplest technology that can perform it safely.

Tell Danny what’s not workingWorkflow automation
01Useful territory

Use AI for ambiguity, assistance, and unstructured inputs.

AI may help classify requests, extract fields from variable documents, summarize context, draft content, or assist a person making a judgment. These uses still need validation, privacy boundaries, and a clear failure path.

  • Document extraction
  • Request classification
  • Search and summarization
  • Drafting with review
  • Pattern assistance
02Poor territory

Do not replace reliable rules with probabilistic behavior.

Exact calculations, known routing rules, system synchronization, required approvals, and auditable validations often belong in deterministic software or automation.

If deterministic automation can solve the problem reliably, AI may be unnecessary.

03Decision test

Define the consequence of being wrong.

Consider data sensitivity, error cost, explainability, review capacity, source quality, and whether a person can recognize a bad result before it affects the business.

Continue with context

Workflow automation

Remove repeatable work with the appropriate mechanism.

Practical AI assessment

Evaluate AI alongside simpler options.

Start with the process

Understand the work before choosing technology.

Start with the problem

This part of the business shouldn’t be this hard.

You do not need to know whether the answer is integration, automation, data, or custom software. Describe how the work happens now and where it gets in the way.

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