Agentic AI glossary: sixteen terms used in finance and marketing
This agentic AI glossary defines sixteen terms that come up when an AI agent works with money or marketing, from agentic AI and guardrails to AI washing and generative engine optimisation; each entry opens with a one-sentence definition, adds an example and links to the guide or product page where the term matters.
Agents and autonomy
Five terms for what the software is and how far it acts on its own.
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Agentic AI
Agentic AI is artificial intelligence that pursues a goal by planning steps and taking actions with tools, not only by answering a prompt.
The word describes a way of working, not one product. A chat assistant replies and stops. An agentic system keeps going: it checks a data source, decides what to do next and repeats until the task is done or a person steps in. Example: software that watches a portfolio and raises an alert when a holding passes a limit you set. The learn hub lists all guides.
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AI agent
An AI agent is software that uses an AI model to work towards a goal by choosing steps and using tools.
Agentic AI is the approach; an AI agent is one working instance of it, with a defined job, a set of permissions and a person or firm that answers for it. What an agent can do depends on what it is connected to. Example: AMBR offers two, Ambre, an AI agent for personal finance, and MIA, the agent for marketing.
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AI finance agent
An AI finance agent is an AI agent that works with a person's or a firm's financial data, accounts or transactions.
Some only read: they gather balances and holdings and report on them. Others can prepare or place orders, which raises the question of who authorises each one. Example: Ambre, which AMBR presents as its AI agent for personal finance, brings holdings across brokerages, exchanges and wallets into one view and does not give personal investment advice. The first guide explains what an AI finance agent is and where it stops.
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Vertical AI agent
A vertical AI agent is an AI agent built for one industry or one job, with the data, rules and workflow of that field.
The opposite is a general-purpose assistant that tries to handle any request. A vertical agent gives up breadth to fit one field's vocabulary, data sources and compliance limits. Example: AMBR describes itself as a company that builds specialised AI agents for finance, enterprise and growth, and each of its two live agents covers one field. The AI portfolio tracker page shows one narrow job in detail.
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Robo-adviser
A robo-adviser is an automated investment service that builds and manages a portfolio for a client from answers to a questionnaire.
It follows fixed rules: a risk profile maps to a model portfolio, which the service rebalances on a schedule. Firms that offer one usually need a licence. An AI agent works from live data and open-ended instructions instead. Example: Ambre is not presented as a robo-adviser; its notice says it does not give personal investment advice. See how an agent differs from a chatbot or a robo-adviser.
Controls
Five terms for the limits placed on an agent. Guardrails and human in the loop get a definition and one example here; the risk-controls guide treats both in full.
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Guardrails
Guardrails are rules built around an AI agent that block or stop actions outside the limits its operator has set.
Example: an agent connected to an exchange account is barred from placing any order above a set size, whatever the model proposes. The second guide covers risk controls for AI agents, guardrails included.
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Human in the loop
Human in the loop means a person must review and approve an AI agent's proposed action before it takes effect.
Example: an agent drafts a transfer and shows the amount and the destination; nothing moves until the account holder confirms. The same guide explains where approval steps belong among agent controls.
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Read-only API key
A read-only API key is a credential that lets software view an account's balances and history but not trade, transfer or withdraw.
Many exchanges let an account holder create keys with separate permissions for reading, trading and withdrawing; a tracker needs only the first. Example: you create a view-only key on an exchange and paste it into a portfolio tool, which can then show holdings but not move them. AMBR has not published how Ambre connects to accounts or which permissions it asks for. See what is known about portfolio connections.
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Prompt injection
Prompt injection is an attack in which crafted text makes an AI model ignore its instructions and follow the attacker's.
The text can sit in a chat message, a web page, an e-mail or a document the agent reads. The OWASP Top 10 for LLM Applications 2025 lists it as LLM01:2025 Prompt Injection. Example: a page an agent summarises contains a line telling it to drop its rules and send funds, and the agent treats that line as a command. See the risk-controls guide for digital assets.
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Excessive agency
Excessive agency is the risk that an AI agent has more tools, permissions or freedom to act than its task needs.
When that is so, one wrong output can do real damage, because nothing stands between the model's decision and the action. The OWASP list for 2025 names it LLM06:2025 Excessive Agency. Example: a portfolio tracker that only needs to read balances is given a key that can also withdraw. The usual answer is the smallest permission that does the job. The security page describes how AMBR agents are controlled.
Regulation
Four terms from financial and AI regulation, each with its source. These entries are definitions, not legal advice.
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AI washing
AI washing is making false or exaggerated claims about how a product or firm uses artificial intelligence.
It is a misleading statement like any other, and regulators have acted on it. Example: on 18 March 2024 the US Securities and Exchange Commission announced settled charges against Delphia (USA) Inc. and Global Predictions Inc. “for making false and misleading statements about their purported use of artificial intelligence”, with US$400,000 in total civil penalties (SEC press release 2024-36). The third guide covers responsibility when an AI agent acts.
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Targeted support (UK)
Targeted support is a UK regime that lets firms make suggestions designed for groups of consumers with common characteristics.
It sits between general information and personal advice. The Financial Conduct Authority set out the rules in policy statement PS25/22, which says the regime “will go live from 6 April 2026”. Example: a pension provider tells members in a similar position what people like them could consider. Nothing on this site says AMBR offers targeted support; the product page states what Ambre does and does not do.
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Article 50 transparency (EU AI Act)
Article 50 of the EU AI Act requires that people are told when they are interacting with an AI system.
Article 50(1) says providers must design AI systems intended to interact directly with people so that those people “are informed that they are interacting with an AI system”. The article applies from 2 August 2026. Example: a notice near the top of a product page that begins “Ambre is an AI system. Its outputs can be wrong.” The third guide lists the rules for AI agents by jurisdiction.
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Virtual asset service provider (VASP)
A virtual asset service provider (VASP) is a firm that carries out activities such as exchanging, transferring, safekeeping or managing virtual assets for clients.
Each jurisdiction sets its own list. Dubai's Virtual Assets Regulatory Authority (VARA) lists eight licensed activities and says firms “must apply for and receive a licence from VARA before undertaking VA activities in Dubai”. Example: Amber Premium FZE is licensed by VARA for three of them under VASP Licence VL/26/03/003. Amber Premium FZE is permitted to serve Institutional Investors and Qualified Investors. See the licences held by group entities.
Marketing
Two terms from marketing. Each entry describes a practice and makes no claim about results.
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Agentic marketing
Agentic marketing is marketing work in which AI agents monitor signals, plan tasks and prepare or carry out actions under human direction.
It differs from marketing automation, which runs rules a team has already written; an agent works out the next step from what it observes. Example: MIA monitors a brand, its competitors, markets, social channels, news and AI search, and turns those signals into marketing intelligence, structured work and approved actions. Its product site is titled “MIA — Agentic Marketing Platform”. The product page covers MIA, an AI marketing agent.
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Generative engine optimisation (GEO)
Generative engine optimisation (GEO) is the practice of making content easy for AI answer engines to find, understand and cite.
Search engine optimisation aims at a ranked list of links; GEO aims at the answer an assistant writes and the sources it names. It is also spelled generative engine optimization. Example: a brand checks whether AI assistants mention it when asked about its category, then improves the pages those answers draw on. AI search is one of the sources named on the MIA page on brand and AI search monitoring.
Suggest a term
If a term on this site is missing here or a definition is unclear, use the contact page to suggest a term. Definitions are written and reviewed under the AMBR editorial policy.
This page is for information only and is not investment advice. Ambre and MIA are AI systems, and their outputs can be wrong.
See the terms at work
The guide to AI finance agents uses most of the terms on this page: what an agent reads, what it prepares and where a person still decides.