# Practical thinking about AI at work.

> Guides for the people choosing, reviewing and operating AI workflows. Start with the question your team needs to answer.

- [What is an AI-native business?](https://genaima.ai/ai-native-business) — Working definitions for AI-native, AI-first and AI-enabled, with practical traits and an illustrative operations example.
- [Risk-classifying AI agent actions](https://genaima.ai/insights/risk-classify-ai-agent-actions) — An example action-risk policy, with review responsibilities, data-access considerations and implementation checks.
- [Decision latency in multi-site operations](https://genaima.ai/insights/decision-latency-multi-site-operations) — A four-timestamp method for measuring operational delays, with a clearly labelled hypothetical restaurant example.
- [Questions to ask AI agent vendors](https://genaima.ai/insights/questions-to-ask-ai-agent-vendors) — Twenty questions covering data, permissions, approvals, models, operation and handover, with evidence to request.

## Put the ideas to work.

These articles explain terms, provide worked examples and suggest questions for a first implementation. The focus is the business task: what information it needs, where review belongs and how to judge whether the result is useful. Use the resources below to turn that understanding into a practical next step. Choose one recurring task with clear inputs and a person responsible for reviewing the result.

- [Prompt pack & playbooks](https://genaima.ai/resources) — Choose a workflow, prepare useful prompts and set measurement criteria before you begin.
- [The AI glossary](https://genaima.ai/glossary) — Clear definitions and everyday examples for the technical terms you will encounter.
- [How implementation works](https://genaima.ai/how-it-works) — See how the scope, inputs and review criteria come together around a real business task.

Examples are identified as illustrative, and proposed policies need to be adapted to your organisation. A general guide cannot establish that a particular product configuration or customer workflow has the controls described.

## Related

- [The AI operating layer](https://genaima.ai/ai-operating-layer)
- [How a workflow runs](https://genaima.ai/how-it-works)
- [Compare](https://genaima.ai/compare)
- [Security & governance](https://genaima.ai/security)

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