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Glossary

Every term, defined once.

The industry's own words sit here alongside ours, including the ones used loosely elsewhere and the ones that name what we are not. Each term gets one sentence and the page that shows it working.

The terms

Grouped by the job each word does.

If another page seems to say something different, this page is the one that is right.

Last reviewed

What the system is

Autonomous Digital Branch

What is an Autonomous Digital Branch?

An Autonomous Digital Branch is a premium website with a managed AI workforce built in that answers every enquiry at any hour and takes it through qualification to a booked slot in your calendar, run and improved for you as one operating branch of the business. Every build we ship is one of these: one system, one team accountable for the work it books.

AI employee

What is an AI employee?

An AI employee is a trained worker we build, run, and manage that qualifies scope, budget, and fit and books the right enquiries into your calendar, rather than software you operate yourself. Each one holds a role and a remit, works every hour of every day, and hands anything needing judgement to a named person on your team.

Cooperating AI Workforce

What is a Cooperating AI Workforce?

A Cooperating AI Workforce is a bespoke AI department that 7 Minds Systems builds for your business: a set of cooperating AI agents wired into your back-end and into the tools your team already uses, Slack, Notion, and Asana, where the agents and your people brief each other both ways. The agents carry the work, your people direct it, and a named person decides anything that needs human judgement. It runs day and night and we maintain it for you. It is bespoke, priced to the organisation we scope with you. It is the flagship above the entry agents: a department of cooperating agents wired into your back-end and your team's own tools. The agents brief each other and your people, work passes in both directions, and a named person holds command over anything that needs human judgement.

GEO

What is GEO?

GEO is generative engine optimisation: shaping your content and data so ChatGPT, Perplexity, Gemini, and Google's AI answers cite your business inside the reply. It complements SEO and does not replace it: SEO earns a ranking a person clicks, GEO earns a citation a model reads aloud, and most businesses now need both.

What it delivers

Speed to lead

What is speed to lead?

Speed to lead is the time between a new enquiry arriving and the business giving its first useful answer, and it decides which firm gets the conversation while the prospect is still deciding. It measures the first reply that answers something, not an acknowledgement, so an automatic receipt email does not stop the clock. Most enquiries go to whoever answers first, so we treat response time as something the design of first contact settles, never a target a team has to chase.

Programmatic local SEO

What is programmatic local SEO?

Programmatic local SEO is the practice of building a dedicated, genuinely useful page for each combination of service and location a business serves, so it can rank across its whole service area instead of only the town its office sits in. Programmatic means built systematically at scale; it only works when each page carries real local information, and it fails the moment a page is a template with the place name swapped.

No-show / DNA rate

What is a no-show or DNA rate?

A no-show, logged in UK healthcare as a did-not-attend or DNA, is a booked appointment the client misses without cancelling, and the no-show rate is the share of booked appointments lost that way. Cancellations are counted separately, because a slot handed back in time can still be filled. An empty slot is revenue that cannot be recovered later, which is why confirmations, well-timed reminders, and one-tap rescheduling matter more than penalties.

After-hours capture

What is after-hours capture?

After-hours capture is a business's ability to answer, qualify, and book the enquiries that arrive outside opening hours, instead of collecting names for a callback the next morning. It is measured by what completes while you are closed, not by how many messages were waiting when you opened. Evenings and weekends are when many people research and decide, so the businesses that answer in those windows take enquiries their competitors never see.

The technology

Agentic AI

What is agentic AI?

Agentic AI is software that pursues a goal by taking actions in real systems, choosing its own next step between instructions and carrying a task through several of them without being prompted again. The test of it is work completed: a booking made, a record updated, a message sent. Every AI employee we build is agentic in that sense: the measure is the work it finishes, and a good answer is only the first step towards it.

AI workforce

What is an AI workforce?

An AI workforce is a group of AI employees that hold different roles in one business and share the work between them, the way a staffed team does. It is structured like a team: each role has its own remit, and the group is managed as a whole. Ours is managed for you, so the roles are scoped, trained, and improved together instead of bought one licence at a time.

Digital worker

What is a digital worker?

A digital worker is software framed as a member of staff: it holds a named role, owns a piece of work end to end, and is measured on what it produces the way a colleague is. It is the industry's general term for what we call an AI employee. We keep our own name for it because a digital worker you run yourself is a different proposition from one we build, train, and manage for you.

Multi-agent system

What is a multi-agent system?

A multi-agent system is one in which several AI agents act inside a shared environment, each deciding its own next step, with no single program running them as stages. They may cooperate, negotiate, or compete; what makes it a system is that the behaviour comes from the interaction, not from any one agent. Cooperation is not a given, which is why we name ours for it. The Cooperating AI Workforce is the cooperative kind by design: the agents hold named roles, work towards the goals you set, and a named person on your team holds command over anything needing judgement.

Human-in-the-loop

What is human-in-the-loop?

Human-in-the-loop describes any system that keeps a person inside its working loop, never leaving it to run unattended. The person may set the task, correct the output, or hold the approval a decision has to pass before it takes effect. What the term names is where authority sits, not how much of the work a person does. Ours takes the strongest of those forms: the AI carries the routine, and a named person keeps authority over anything sensitive, contested, or outside what was agreed. In regulated work every regulated step is approved by a human before it goes live, and what gets routed to a person is agreed with you per build.

Retrieval-augmented generation

What is retrieval-augmented generation (RAG)?

Retrieval-augmented generation, or RAG, is a technique for grounding a language model's answer in a source corpus: passages relevant to the question are found at the moment it is asked and placed in the model's context, so the reply is built from retrieved text as well as from what the model already holds. In our builds the corpus is your own material: your services, your prices, and the way you already answer clients are the usual starting point. It is retrieved at answer time and no model is retrained on it, and the access is agreed in writing before anything is connected.

Chatbot

What is a chatbot?

A chatbot is a software application that holds a conversation in text or speech, answering questions within the scope it was given. It is a real and useful category, and a well-built one answers common questions well and hands on what it cannot; what marks the boundary is that the conversation is the whole job. An AI employee starts where that ends: it acts on the conversation, booking the work, updating the record, and following up afterwards.

AI receptionist

What is an AI receptionist?

An AI receptionist is one role within the AI employee category: the worker that handles first contact on web, chat and email, qualifies what the enquiry needs, books it into your calendar, and routes anything sensitive to a named person on your team. A business can hire this role on its own or alongside the rest. First contact is where an enquiry is won or lost, so it is often the role a build starts with. It is scoped, quoted, and run on its own, and the other AI employees can join the team later without the receptionist being rebuilt.

Where they meet

The branch is the site, and the AI employees are the staff who run it.

GEO and programmatic local SEO decide whether anyone arrives; speed to lead and the no-show rate decide what happens to the enquiries that do. The words the rest of the industry uses belong to everyone, and they are defined here on those terms, because a word bent to flatter the seller stops being a definition.

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