Kamil Kwapisz
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AI Good Practices & Guidelines

Let your team use AI without putting the company at risk

A written set of AI usage rules for your company - which tools are approved, what data can go where, how to review AI output, and who is accountable for it.

Get our AI guidelines

What you get

  • A clear approved-tool list, so shadow AI use stops being invisible
  • Data classification rules that spell out what may never leave the company
  • Human review and sign-off requirements scaled to the risk of each use case
  • Written in language your team will actually read, not legal boilerplate
  • Mapped to the compliance and client obligations you already carry

Use cases

1

Company AI Usage Policy

One short document that says what employees may and may not do with AI tools, with concrete examples from your own work. Covers client data, personal data, code, and anything published under the company name.

2

Approved Tools & Data Classification

A vetted list of tools with the data tier each one is cleared for, based on where the vendor stores prompts and whether they train on them. Removes the daily 'is it okay to use this?' question.

3

Review & Accountability Process

Who checks AI-assisted output before it reaches a client, how it gets disclosed, and who owns the result when something is wrong. Includes a lightweight escalation path for edge cases nobody anticipated.

Ready to get started?

Book a free 30-minute consultation - let's discuss your use case and what's possible.

Get our AI guidelines

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