An AI agent is software given a defined job, such as answering support tickets or drafting a policy, that acts largely on its own rather than replying once to a single prompt. What separates a governed agent from a plain chatbot is not what it can say, it is what it is allowed to reach, who checks its work, and what gets written down when it acts.
A business agent is usually built around one role rather than general conversation: an agent that only handles onboarding questions, or only drafts first responses to a support ticket, each with its own guardrails and its own owner. Starting from a template with the rules already attached, rather than a blank agent someone has to configure from nothing, is what keeps a new one from starting ungoverned.
Permissions decide what an agent can reach once it exists: which connected tools it can read from, which of those it can act on, and whether a connected system gets a way around the rules that apply to everything else. A connected tool should not open a shortcut around governance, what comes back from it becomes knowledge the same way anything else does, and what goes out through it clears the same checks.
Approval is a checkpoint placed at a specific handoff, the point where one agent passes work to the next, rather than a review of the finished job afterward. You choose which handoffs are worth holding for a person to say yes to and which are not, so a routine step is not held up for the sake of the one that actually matters.
Each handoff and each approval inside a multi-agent job is its own entry in the same tamper-evident log as everything else on the platform, so a pipeline of several agents actually leaves a more detailed record than one agent quietly doing the whole job by itself. The mechanics of that log, and what tamper-evident means in practice, are covered in full in the AI audit trail glossary.
A workflow is several agents wired together to do one larger job, each already knowing what the others do. Augela's own worked example is Product Launch: ten agents covering positioning, build, branding, website, content, pricing, distribution and localisation, provisioned together in one setup rather than ten separate conversations.
Orchestration is the plumbing that lets one agent's output become the next agent's input, in a fixed sequence, in a chain, or on a schedule, without a person copying anything between them by hand. What keeps orchestration governed rather than merely automated is the same rule that applies to a single agent: a person can still be placed at any step in the chain before it continues.
A guardrail is a rule an agent cannot act outside of, attached to its template rather than configured by hand after the fact: what it is always allowed to say, what it must never say, and what it can touch. Five pre-built feeds also watch every conversation for the risks that recur across most companies, prompt injection, personal data, toxicity and profanity, plus a starter set, so a company does not have to write that list from a blank page.
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