Glossary
Vocabulary, defined.
Plain-English definitions of the AI terms operators actually need. We define what we mean so the audit conversation moves faster.
- AI employee
- An autonomous AI agent trained on your specific business processes that owns a closed loop end-to-end and is integrated into the channels your team already uses.
- Closed loop
- A workflow where AI handles the full cycle — input, decision, action, learning — without human intervention except at hard rule-based escalation points.
- Open loop
- A workflow where AI assists a human at one step but the human is still in the path on every transaction. AI as typing assistant, not operator.
- Queryable company
- A company where every artifact (meetings, emails, WhatsApp threads, CRM, Stripe data) is accessible to the agent, allowing it to take initiative across systems instead of being tool-limited.
- Memory layer
- The substrate where company-specific data lives so an AI agent can learn the patterns of your business and improve over cycles. Notion, Obsidian, Google Drive, or markdown all qualify.
- Voice mirroring
- Training an AI agent on your team's actual past communications (sent emails, Slack threads) so its outputs sound like you, not like a generic chatbot.
- AEO (Answer Engine Optimization)
- Optimizing content to be cited by LLMs (ChatGPT, Claude, Gemini) when users ask questions. The AI-era replacement for keyword-stuffing SEO.
- Agentic AI
- AI systems that take actions in the world — calling APIs, sending emails, updating systems — not just generating text.