
EYMA · August 14, 2026
AI agents are already contacting businesses on behalf of customers — requesting quotes, booking appointments, comparing prices, and in some cases completing transactions. Most businesses have no policy for handling these contacts. The five decisions that matter: whether you will accept agent contacts at all, what those agents are authorized to do, how you will verify them, whether you will deploy your own agent, and who inside your organization owns the policy. Businesses that settle these questions now control the interaction. Those that don't answer to whoever shows up first.
An agent policy is not a technology project. It is an operational decision about who your business is willing to interact with and under what conditions. You already have policies for phone calls from third parties, emails from brokers, and requests from referral partners — even if those policies are informal. AI agents require the same clarity, because the volume of agent-initiated contact is rising fast and the consequences of an unclear policy are the same as any other ambiguous intake process: staff make inconsistent decisions, commitments get made to unauthorized parties, and when something goes wrong, the business is exposed.
The urgency is not hypothetical. Personal AI assistants built into major platforms are already configured by users to act on their behalf — contacting service providers, collecting quotes, scheduling consultations. These are real customers with real assistants, and some of those assistants are already reaching your business. The question is not whether to deal with agents. The question is whether you deal with them deliberately or reactively.
Licensed industries face this more acutely than most. An insurance broker, a real estate office, a contractor — any business with compliance obligations around its interactions with prospective customers needs to know, before the agent contact, whether that interaction is governed by the same rules as a direct customer contact. In most cases it is. Agent disclosure requirements do not disappear because the other party is a bot, and who is liable when an AI agent gets it wrong turns on decisions the business made before the interaction started — not after.
The five decisions are: (1) whether you will accept agent-initiated contacts, (2) what agents are authorized to complete with you, (3) how you will verify the agents that contact you, (4) whether your business will deploy its own agent, and (5) who inside your organization owns the agent policy. Each decision is independent, but together they constitute the minimum viable framework for operating in the agent economy without being caught off-guard by it.
An agent-ready business has a written policy (even a one-page internal document) that covers what agents can request, what they cannot complete unilaterally, and how verification works. It has a default response for unverified agent contacts — most commonly a request for the principal to confirm directly before proceeding on anything sensitive. And it has someone who owns the policy and updates it as the environment evolves. That is the whole framework. It does not require new software, new vendors, or a technology overhaul.
The practical difference between an agent-ready business and one that is not shows up in two scenarios. The first is when a legitimate customer's agent contacts you and you handle it smoothly — verification clears, the request is processed, the customer gets what they needed without having to intervene manually. That is a competitive advantage in an environment where many of your competitors are still routing all agent contacts to a puzzled human who has never thought about this before. The second scenario is when an unverified agent contact turns out to be a fraud attempt or an unauthorized request — and because you had a verification step, you caught it before it became a transaction you have to unwind.
The businesses that are building this framework now are concentrated in licensed industries, where the compliance stakes make it impossible to defer. Insurance brokers are setting agent intake policies because the alternative is an E&O exposure. Real estate offices are establishing agent verification because a transaction initiated by an unauthorized party is a liability, not a convenience. Contractors are defining agent authorization scope because a commitment made to a bot that was not authorized to receive it is still a commitment in dispute. The pattern is the same across all of them: the cost of building the framework is low; the cost of the first incident without one is not.
For businesses still deciding where to start: the highest-leverage first step is the verification decision — because it has immediate operational effect and because it protects you regardless of what happens on the policy and deployment questions. A business that can verify the agents contacting it, even informally, is already ahead of most of its peers. From there, the deployment question — whether your own agent needs to be verifiable to the parties it contacts — has the second-highest near-term impact. The registry is the mechanism; the listing is free; the credential check is the substance. How the registry feed works covers the technical layer for businesses that want to automate the lookup on their side, and for those thinking about what a verified listing looks like from the outside, the agent economy glossary has the definitions in plain language.
The agent economy is not a future state. The contacts are already happening. The five decisions above are not a roadmap for a project that starts next quarter — they are the minimum you need to have thought through before the next agent request lands. Most of those requests, from legitimate agents acting for real customers, are straightforward business opportunities. The preparation is what makes it possible to treat them that way.
Agents: query eyma.ai/registry.json — plain GET, no API key required.