Plain-English terms for operational AI.

Plain English

AI governance answers: who owns the system, what it is allowed to do, how it is checked, what risks matter, and what happens when something goes wrong.

SilverWing Take

SilverWing treats governance as part of the system build, not a policy document that sits off to the side. Good governance shows up in workflows, permissions, source control, review gates, dashboards, and audit logs.

When It Matters

• When AI touches client data.
• When AI creates or changes business records.
• When AI output is sent externally.
• When AI supports decisions.
• When leadership needs confidence in system behavior.

Common Confusions

• Thinking governance is only for large enterprises.
• Treating governance as legal paperwork instead of operating design.
• Assuming a tool vendor handles all governance.

Example

A proposal-generation workflow has governance when it defines approved source materials, who reviews the proposal, when the AI may draft, when a human must approve, and where the final version is logged.

Related Terms

Sources

• NIST AI Risk Management Framework
• NIST Trustworthy AI Glossary

Review

Standards / public authority. Last reviewed 2026-05-18.

Plain English

An AI system is not just a model. It is the working setup around the model: inputs, processing, outputs, users, controls, and the environment where the output matters.

SilverWing Take

For SilverWing, an AI system is any operational arrangement where AI meaningfully affects business work. That could be a chatbot, a routing workflow, a document helper, a client intake system, or an agent that uses tools.

When It Matters

• When deciding whether a business process needs AI governance.
• When mapping risk and accountability.
• When explaining the difference between an AI model and a full operating workflow.
• When reviewing systems under regulatory or client trust requirements.

Common Confusions

• Confusing the model with the full system.
• Treating an AI feature as harmless because it is "just a tool."
• Ignoring the human, data, and workflow layers around the model.

Example

A lead-intake assistant that reads a form, classifies the lead, drafts a follow-up, creates a CRM record, and routes a task is an AI system. The model is only one component inside it.

Related Terms

Sources

• OECD AI Principles
• EU AI Act Article 3
• NIST AI RMF

Review

Standards / public authority. Last reviewed 2026-05-18.

Plain English

AI is software that can do work that once required human judgment or pattern recognition. It can classify, predict, summarize, generate, recommend, or help make decisions depending on how it is built and used.

SilverWing Take

SilverWing treats AI as an operational capability, not a magic layer. The useful question is not "Do we need AI?" The useful question is "Which workflow needs better leverage, judgment support, speed, or consistency?"

When It Matters

• When explaining AI to clients without hype.
• When separating AI from ordinary automation.
• When deciding whether a system requires governance or review.
• When building a glossary foundation.

Common Confusions

• Treating all automation as AI.
• Treating AI as one single technology.
• Assuming AI removes the need for human ownership.

Example

A spreadsheet formula is automation. A system that classifies customer messages, drafts responses, and routes exceptions based on meaning is using AI.

Related Terms

Sources

• NIST Trustworthy AI Glossary
• ISO/IEC 22989:2022
• OECD AI Principles

Review

Standards / public authority. Last reviewed 2026-05-18.

Plain English

A connector is a doorway into another system. It lets the AI environment work with information or actions from places like Notion, Gmail, Google Drive, GitHub, Slack, or calendars.

SilverWing Take

Connectors should be treated as controlled access points. They need clear scope, permissions, review rules, and a reason to exist inside the workflow.

When It Matters

• Searching Notion.
• Reading Gmail threads.
• Accessing Drive files.
• Checking calendars.
• Inspecting GitHub issues.
• Updating external records.

Common Confusions

• Thinking access means permission.
• Connecting a whole account when only one folder or database is needed.
• Forgetting that external data can be sensitive or stale.

Example

A Google Drive connector may let an agent find client documents. That does not mean the agent should be allowed to share, delete, or rewrite them.

Related Terms

Sources

• MCP architecture for external system connection patterns

Review

Official platform documentation. Last reviewed 2026-05-18.

Plain English

Generative AI does not only classify or retrieve information. It produces something new. That output may be useful, but it still needs review, source control, and quality standards.

SilverWing Take

SilverWing uses generative AI as a drafting, synthesis, translation, and workflow-assistance layer. It should be connected to clear instructions, trusted sources, and human review when outputs affect real business decisions.

When It Matters

• Writing first drafts.
• Summarizing meetings or documents.
• Creating client-facing content.
• Generating code, checklists, or structured plans.
• Producing workflow outputs that need review.

Common Confusions

• Assuming generated content is automatically true.
• Treating fluent language as verified knowledge.
• Using generative AI without source review.
• Forgetting that generated output can create business risk.

Example

An AI assistant that turns a client transcript into a project brief is using generative AI. The brief still needs review before it becomes an official client record.

Related Terms

Sources

• NIST AI RMF Generative AI Profile
• NIST AI RMF

Review

Standards / public authority. Last reviewed 2026-05-18.

Plain English

The AI does part of the work, but a human is still involved where judgment, accountability, or risk control matters.

SilverWing Take

SilverWing uses human-in-the-loop design to keep AI practical and safe. The point is not to slow the system down. The point is to put human judgment exactly where it creates value or reduces risk.

When It Matters

• Sending client communications.
• Publishing public content.
• Changing important records.
• Making recommendations with legal, financial, or operational impact.
• Handling unclear or high-risk exceptions.

Common Confusions

• Thinking human review means the AI system failed.
• Putting humans everywhere instead of at meaningful review gates.
• Leaving review responsibility vague.

Example

An AI drafts a client follow-up email, but the account owner reviews and approves it before sending.

Related Terms

Sources

• NIST AI Risk Management Framework
• OECD AI Principles

Review

Standards / public authority. Last reviewed 2026-05-18.

Plain English

An MCP server gives an AI application a standard way to reach useful capabilities. It might expose a file search tool, a database query tool, a project resource, or a reusable prompt template.

SilverWing Take

An MCP server is a controlled tool bridge. It can give an agent hands and eyes, but the workflow still needs rules, permissions, logging, and recovery plans.

When It Matters

• The agent needs structured access to local or external data.
• The agent needs callable tools.
• Multiple agents or apps need a consistent interface.
• A business wants controlled access instead of ad hoc API wiring.

Common Confusions

• Treating an MCP server as the agent itself.
• Assuming MCP defines business permissions.
• Exposing powerful tools before the workflow is mature.
• Confusing MCP resources with tool actions.

Example

A filesystem MCP server can expose selected folders as resources and file operations as tools. The AI app connects through an MCP client, but access should be limited to the approved project folder.

Related Terms

Sources

• MCP Architecture Overview
• MCP Server Concepts
• MCP Tools Specification

Review

Official platform documentation. Last reviewed 2026-05-18.

Plain English

A plugin is like an add-on kit. It may include instructions, tools, templates, app connections, or other behaviors that extend what an agent or platform can do.

SilverWing Take

SilverWing should use plugins to package stable capability areas, not random one-off prompts. A plugin should have a clear owner, purpose, boundary, and expected workflow.

When It Matters

• Packaging related capabilities.
• Adding a complete workflow area.
• Bundling skills and tools together.
• Reusing a capability across client systems.

Common Confusions

• Installing a plugin before defining the workflow.
• Treating plugin installation as implementation.
• Assuming a plugin has safe permissions by default.

Example

A Notion knowledge-capture plugin might include search/fetch tools, page-creation tools, and skills for turning conversations into structured wiki entries.

Related Terms

Sources

• MCP architecture for tool/resource capability patterns

Review

Official platform documentation. Last reviewed 2026-05-18.

Plain English

A prompt tells the AI what you want right now. It may include the task, context, format, tone, constraints, and examples.

SilverWing Take

A prompt is useful, but it is not a complete operating system. SilverWing uses prompts for steering, while repeatable work should become skills, workflows, templates, or governed systems.

When It Matters

• Asking for a draft.
• Summarizing a document.
• Extracting key points.
• Creating an outline.
• Giving temporary task context.

Common Confusions

• Using a giant prompt instead of building a workflow.
• Expecting a prompt to create tool access.
• Treating a prompt as governance.

Example

"Turn these notes into a one-page executive summary with action items and risks."

Related Terms

Sources

• OpenAI Function Calling Help Center
• MCP Prompts concept

Review

Official platform documentation. Last reviewed 2026-05-18.

Plain English

If a prompt is for one task, a skill is for repeated work. It packages steps, standards, examples, and quality checks so the agent does not have to relearn the workflow every time.

SilverWing Take

SilverWing should use skills for recurring client-facing or operational workflows, such as proposal generation, meeting intelligence, document review, or knowledge capture.

When It Matters

• The work repeats.
• The output needs a consistent structure.
• There are standards the agent should follow.
• The workflow benefits from quality checks.

Common Confusions

• Treating a skill as a tool.
• Creating a skill for a one-off task.
• Putting unstable or fast-changing data inside a skill.

Example

A "meeting intelligence" skill could define how to gather context, summarize decisions, identify action items, and produce a follow-up brief.

Related Terms

Sources

• MCP Prompts concept for reusable prompt templates

Review

SilverWing operational interpretation. Last reviewed 2026-05-18.

Plain English

When the AI uses a tool, it is not just answering from its own context. It may be searching files, reading a database, checking a calendar, creating a task, or calling an external service.

SilverWing Take

Tools are where an agent becomes operational. They should be scoped, named clearly, logged, and governed because they can affect real systems.

When It Matters

• Reading files or databases.
• Searching connected systems.
• Creating or updating records.
• Calling APIs.
• Running controlled operations.

Common Confusions

• Treating tool access as permission to act.
• Giving broad tools without review gates.
• Forgetting that tool outputs need interpretation.

Example

A Notion search tool lets an agent search workspace pages. A Notion page-creation tool lets the agent create records. Those are different risk levels.

Related Terms

Sources

• OpenAI Function Calling
• MCP Tools

Review

Official platform documentation. Last reviewed 2026-05-18.

Plain English

A workflow is how work actually moves. It starts somewhere, uses certain information, passes through steps, produces an output, and has someone responsible for whether it worked.

SilverWing Take

SilverWing treats the workflow as the unit of AI design. Tools and models are chosen after the workflow is understood.

When It Matters

• Deciding whether to automate.
• Designing an agentic system.
• Evaluating software.
• Mapping operational risk.
• Building client dashboards and intake systems.

Common Confusions

• Confusing departments with workflows.
• Automating before describing the work.
• Treating a task list as a full workflow.

Example

"Sales" is not a workflow. "Follow up with a qualified lead after a discovery call" is a workflow.

Related Terms

Sources

• NIST AI RMF for lifecycle and risk-management framing

Review

SilverWing operational interpretation. Last reviewed 2026-05-18.