AI Strategy • Operations • Financial Controls

Top AI Mistakes

A practical guide for operators, CFOs, MSPs, CPAs, and advisors who want AI to improve business outcomes without creating new operational, financial, or security risks.

AI is an accelerant. Use with caution.

Working Principles

The list is built around three principles to keep AI on track.

Principle 01

Restrict AI from judgment.

Humans make the call. AI is useful for summarization, pattern recognition, exception detection, and drafting.

Principle 02

Use traditional software for control.

Repeatable workflows, calculations, approvals, audit trails, and financial controls need deterministic systems.

Principle 03

Preserve the system of record.

Prompts, outputs, decisions, assumptions, and source data should be retrievable, reviewable, and reusable.

The First 45 Mistakes

Search or filter by segment. Each item includes the mistake, why it matters, a better approach, and a warning phrased as a “mistake people make.”

Prepared for Ayoka Systems. Research-informed by public AI adoption guidance and internal field conversations. See sources: AyokaSystems.com, IBM, McKinsey, Gartner.