AI agents2026-10-15
What is an AI agent, really?
Cut through conflicting vendor definitions. Learn how a practical business AI agent works, how it connects to your software, and why bounded scope and human checkpoints matter.
EDITORIAL KNOWLEDGE BASE // PLAIN-ENGLISH GUIDES
AI, explained for business leaders.
Every briefing is written for decision-makers and operations leaders—complete with a direct answer near the top, practical examples, explicit limitations, primary source citations, and review dates.
Voice AI2026-10-15
Can AI answer your business calls?
A realistic look at what Voice AI handles well on the phone today—overflow coverage, structured caller intake, approved FAQs, and routing—and where live human transfer is essential.
AI automation2026-10-15
What should a company automate first?
How to choose your first AI automation project by looking for repetitive intake, clear inputs, existing software APIs, and low-risk human review checkpoints.
AI knowledge systems and RAG2026-10-15
RAG explained in plain English
Why you almost certainly do not need to 'train your own AI model'—and how Retrieval-Augmented Generation (RAG) lets AI answer questions using your approved company documents with citations.
AI implementation strategy2026-10-15
Your first AI project: a practical checklist
A 10-point executive and operational checklist covering workflow definition, data boundaries, human ownership, pilot testing, and post-launch measurement.
Responsible AI operations2026-10-15
What human oversight means in an AI workflow
Why 'a human is in the loop' is only meaningful when reviewers have the context, tools, and clear authority to verify AI work before commitments are made.
Plain-English AI Glossary
View full glossary →Core Systems
AI Agent
A bounded software system that uses a language model, approved instructions, and connected tools to complete a defined operational task under human oversight.
Knowledge Systems
Retrieval-Augmented Generation (RAG)
An architecture that searches your approved company documents first and requires the AI model to answer using only those retrieved passages with source citations.
Governance & Safety
Human-in-the-Loop (HITL)
A workflow design pattern where an accountable person reviews, edits, or approves an AI-prepared output before a final action is taken.
Automation
Deterministic Workflow
Software logic that follows fixed, predictable rules—producing the exact same output every time for a given input.
Governance & Safety
Hallucination
When a generative AI model produces a plausible-sounding statement that is factually incorrect or unsupported by approved source data.
Governance & Safety
Least-Privilege Access
Granting an AI system or automation only the minimum data access and tool permissions required to perform its specific task.