Delegation of Trust: Governance Models for Human-to-Agent and Agent-to-Agent Authority

In the previous articles in this series, we explored the first layers of infrastructure required for the Agent Economy. We discussed why agents need persistent identity, where that identity should be registered, and how agents can be discovered across decentralized networks. Those foundations are necessary, but they do not yet answer the most important governance question in an autonomous world. Once an agent is identified, registered, and discoverable, how does it receive the authority to act on behalf of a person, a company, or another agent.

This article focuses on the delegation of trust. In traditional systems, a person may authorize another person to act through a legal instrument such as Power of Attorney. In digital systems, a user may authorize an application to access a resource through a delegated authorization framework. In regulated finance, institutions establish trust through Know Your Customer and Know Your Business processes that verify identity, beneficial ownership, and risk before allowing participation in financial activity.^1,2

The Agent Economy requires a similar but more dynamic model. At Synergetics.ai, we believe that Know Your Agent, or KYA, is the natural extension of KYC and KYB into autonomous systems.⁷ KYA establishes the provenance of an agent before it is allowed to enter a registry, while delegation contracts define what authority the human owner or enterprise grants to that agent after registration. These two ideas work together. KYA answers the question of whether the agent is legitimate. Delegation answers the question of what the agent is allowed to do.

This topic is also at the center of the debate between agents that operate on predefined workflows with rails and agents that are more autonomous. The future will not be one or the other. It will be a governed spectrum where agents can act independently only within boundaries that humans, enterprises, and regulators can understand, verify, and enforce.

Overview

The delegation of trust begins with provenance. Provenance means knowing where an agent came from, who created it, who owns it, and what authority stands behind it. In a human context, provenance is established through identity proofing, business verification, and credential issuance. In an agent context, provenance must be established before an agent is permitted to register, discover other agents, receive rights, or participate in transactions. This is why KYA is not a secondary compliance feature. It is the entrance gate to a trustworthy Agent Economy.

The analogy to KYC and KYB is useful because those processes already express an important principle. Before a regulated financial institution allows a person or business to transact, it must understand who that person or business is and whether the relationship creates unacceptable risk. FinCEN describes customer due diligence as a mechanism for improving financial transparency and preventing misuse of legal entities for illicit activity.¹ KYA applies this same logic to autonomous agents. If an agent is owned by an individual, the verification process resembles KYC. If an agent is owned by an institution, it resembles KYB. In either case, the system must connect the agent back to a responsible owner.

In the Synergetics model, KYA is performed before an agent is permitted to enter the Agent Registry. This matters because the registry is not merely a directory. It becomes a trust surface for the wider ecosystem. If any agent could register without verification, the registry would become vulnerable to impersonation, spam, fraud, and malicious automation. KYA therefore acts as a quality threshold. It ensures that the agent has a known source, a verified owner, and a policy context before it begins interacting with other agents. Synergetics is working with KyxStart, a partner familiar with KYC and KYB workflows in banking, to help craft this KYA process for autonomous systems.

Once provenance is established, the next question is delegation. Delegation is the process by which a human owner, whether an individual or an enterprise, grants authority to an agent. This is not simply a technical permission. It is a governance relationship. The agent may be allowed to schedule a meeting, answer a customer question, retrieve data, negotiate a service, approve a payment, or delegate part of a task to another agent. Each of those actions requires a different level of authority and a different level of risk control.

The Power of Attorney analogy is useful because it captures the core idea of representation. In a Power of Attorney arrangement, one party authorizes another party to act on their behalf within a defined scope. The agent does not become the principal. The agent acts as the representative of the principal. The Agent Economy needs a digital version of this concept, but one that can be expressed as machine readable authority, verified cryptographically, and enforced in real time.

This delegation contract should define the scope of authority. It should specify what the agent can do, what resources it can access, what systems it can call, what spending limits it has, what categories of decisions it can make, and what actions still require human approval. This contract can be represented through verifiable credentials, policy objects, smart contracts, or other authorization artifacts depending on the architecture. W3C Verifiable Credentials provide a useful reference model because they describe a system where issuers make claims about subjects and verifiers can check those claims in a machine readable way.³

Time is one of the most important conditions in delegation. An agent may be authorized to act for a single task, one day, one month, or a continuing business relationship. Time bound delegation reduces risk because authority naturally expires. It also forces periodic review and reauthorization. This is important in autonomous systems because unattended permissions can become dangerous. A permission that was safe when granted may become unsafe if the agent changes, the environment changes, or the user’s intent changes.

Transferability is another critical condition. In simple workflows, the human owner authorizes one agent to perform one task directly. In more complex workflows, the agent may need to delegate subtasks to other agents. For example, a travel planning agent may need to consult a payments agent, a calendar agent, a hotel booking agent, and a compliance agent. If transferability is enabled, the primary agent can pass limited rights downstream. If transferability is disabled, the agent must either complete the task itself or return to the human owner for permission.

This distinction is central to the future of agentic workflows. Agents on rails operate within predefined flows and cannot meaningfully improvise beyond those paths. Autonomous agents can make decisions, select tools, and coordinate with other agents, but they require stronger governance because their behavior is less predictable. Delegation contracts allow both models to coexist. A company can give narrow rights to agents operating on rails and broader but still bounded rights to more autonomous agents. The question is not whether agents should be controlled or autonomous. The question is how authority can be calibrated to match the risk of the task.

Existing digital authorization frameworks provide useful lessons. OAuth 2.0, for example, enables a third party application to obtain limited access to a service on behalf of a resource owner.⁴ This is not identical to agent delegation, but it captures a key principle. Access should be limited, scoped, revocable, and granted through an explicit authorization process. The Agent Economy extends this principle from applications to autonomous actors that can reason, decide, and coordinate.

Delegation must also support auditability. Every meaningful act performed by an agent should be traceable to a valid authority chain. If an agent acted directly for a human, the system should show the human to agent authorization. If an agent delegated authority to a sub agent, the system should show the downstream delegation path and the constraints attached to it. This audit trail is not only useful for security. It is essential for enterprise compliance, dispute resolution, and regulatory confidence.

The result is a layered governance model. KYA verifies the agent before entry. Identity establishes who the agent is. Registry participation makes the agent discoverable. Delegation defines the agent’s authority. Policy enforcement ensures the agent stays within its mandate. Reputation and audit history help the ecosystem learn whether the agent behaves responsibly over time. Together, these layers turn autonomous software from an interesting technical tool into a trusted economic participant.

Perspective and Analysis

From my perspective, the industry is still too focused on capability and not focused enough on authority. Many conversations about agents begin with what the agent can do. Can it write code. Can it make a purchase. Can it call an API. Can it negotiate with another system. These are important questions, but they are incomplete. The more important question is what the agent is allowed to do, who granted that permission, how long the permission lasts, and whether the permission can be transferred.

This distinction matters because capability without authority creates risk. A model may be capable of executing a transaction, but that does not mean it should be allowed to execute the transaction. An agent may be capable of delegating a task to another agent, but that does not mean the human owner intended such delegation. The gap between capability and permission is where many future failures in agent systems will occur. Governance must close that gap.

KYA is the first step in closing that gap because it establishes provenance before authority is granted. If an agent cannot be tied to a verified owner, then it should not be allowed to participate in high trust workflows. This is especially important as agents begin to represent enterprises in commercial settings. A supplier agent, payment agent, claims agent, or support agent may appear to act independently, but the ecosystem must know which institution stands behind it. Without that connection, there can be no meaningful accountability.

The second step is a formal delegation model. I believe the Agent Economy needs a programmable equivalent of Power of Attorney. This does not mean copying legal paperwork into software. It means capturing the underlying governance principle. A principal grants limited authority to an agent. The authority has scope, duration, conditions, and revocation rules. The agent must act within that authority. If the agent delegates further, the downstream delegation must be explicitly permitted and constrained.

This is also where I believe transferability becomes a defining design choice. A non transferable authority grant keeps the agent closer to a traditional automation tool. It can act, but only directly. A transferable grant enables multi agent orchestration, where the agent can assemble other agents to complete complex tasks. The second model is more powerful, but it also demands better controls. It requires delegation depth limits, spending limits, task category limits, jurisdictional rules, and real time revocation.

In enterprise environments, this distinction will determine how quickly organizations adopt autonomous agents. Companies will be comfortable with agents on rails because they can be tested and governed like conventional workflows. They will be more cautious with autonomous agents that can make decisions and delegate work. The path forward is not to reject autonomy. It is to make autonomy governable. NIST’s AI Risk Management Framework is relevant here because it frames trustworthy AI through governance, mapping, measurement, and management of risk.⁵

At Synergetics, we see KYA and delegation as two halves of the same trust system. KYA determines whether an agent is eligible to enter the ecosystem. Delegation determines what the agent can do after it enters. The Agent Registry, Agent ID, and future wallet infrastructure then provide the channels through which identity, authority, and execution can be linked. This is how the Agent Economy becomes more than a marketplace of tools. It becomes a governed network of accountable autonomous actors.

There is also a broader market implication. Trust delegation will become a competitive differentiator. Enterprises will not choose agent infrastructure only because it produces better responses. They will choose infrastructure that can prove provenance, enforce authority, support auditability, and manage downstream delegation. The winning platforms will be those that combine intelligence with governance. In the long run, the most valuable agent systems will not simply be the most capable. They will be the most trusted.

Why It Matters and What Comes Next

Delegation of trust matters because it is the bridge between human intent and autonomous action. Without delegation, agents remain passive tools waiting for instructions. With delegation, agents can act as representatives. This is what enables real economic participation. A consumer can authorize a personal agent to find a product, compare options, and complete a purchase. An enterprise can authorize a business agent to respond to a partner, retrieve records, negotiate terms, or trigger a workflow. In every case, the value comes from the agent acting with authority rather than merely making suggestions.

For enterprises, the implication is significant. Enterprise leaders must begin thinking about agent authority as a core governance domain. They will need to define who can create agents, who can register them, what verification is required, what permissions can be granted, and how those permissions expire or transfer. This is similar to the evolution of identity and access management, but with greater complexity because agents can reason and act. NIST’s current digital identity guidance emphasizes identity proofing, authentication, federation, and related assertions for users interacting over networks, and similar concepts will need to be adapted for autonomous representatives.²

For consumers, delegation creates both convenience and risk. A personal agent that can act on behalf of a user can save time, reduce friction, and make digital life more efficient. However, the same agent can create harm if authority is too broad or poorly governed. Consumers will need simple ways to understand what they are delegating. They will need to see whether a permission is temporary or continuing, whether it allows spending, whether it allows data sharing, and whether it can be passed to another agent. The future user experience of agent delegation must be understandable to ordinary people, not only to engineers.

For policymakers, delegation creates new questions of liability and accountability. If an agent acts within delegated authority and causes harm, the responsibility may fall differently than if the agent acted outside authority. If a sub agent receives transferred authority, regulators may ask whether the original human owner understood that transfer. If an agent is registered after KYA but later behaves maliciously, the ecosystem must determine whether the issue is identity failure, governance failure, model failure, or enforcement failure. These questions will require new legal and compliance frameworks.

For developers and creators, the opportunity is to build agents that are not only useful but governable. Future agent marketplaces will likely require proof that an agent can operate within authority boundaries. A creator may need to show that the agent supports constrained permissions, logs actions, respects revocation, and handles delegated tasks responsibly. This means governance will become part of product design. The best agents will not simply perform tasks well. They will perform tasks in ways that enterprises and users can trust.

For the broader Agent Economy, the next stage will involve standardized authority artifacts. These may include verifiable delegation credentials, policy based access grants, wallet linked authorization records, and registry visible authority metadata. The technical form may vary, but the function will be consistent. Agents must be able to prove that they are acting under valid authority, and other parties must be able to verify that proof without excessive friction. Verifiable credentials and delegated authorization models provide useful building blocks for this future because they separate identity, claims, presentation, and access in ways that can be adapted to agent systems.^3,4

Another major development will be delegated chains of authority. In a mature agent ecosystem, a primary agent may coordinate multiple sub agents to complete a complex objective. This requires rules governing how far authority can travel. A human owner may allow one level of delegation but not two. An enterprise may allow delegation only to agents that have passed KYA. A payment workflow may allow a shopping agent to consult a recommendation agent but prohibit it from delegating spending authority. These constraints will become the equivalent of traffic laws in the Agent Economy.

The final destination is a world where agents can be autonomous without being ungoverned. Autonomy should not mean unlimited freedom. It should mean bounded agency within a verified authority framework. This is the difference between unsafe automation and trustworthy delegation. It is also the difference between a collection of clever agents and a functioning Agent Economy.

Key Takeaways and Summary

The Agent Economy cannot be built on intelligence alone. It requires identity, registry, discovery, provenance, authority, and governance. The previous articles in this series addressed the early layers of that stack. This article adds the next critical layer: delegation of trust.

KYA establishes the provenance of an agent before it enters the ecosystem. It extends the logic of KYC and KYB into autonomous systems by verifying the owner, source, and risk context of an agent. This ensures that the registry does not become an open door for malicious or unaccountable actors.

Delegation defines what authority the human owner or enterprise grants to an agent. This authority should have scope, duration, conditions, and revocation rules. It should also specify whether transferability is allowed, because the ability to pass rights to sub agents is one of the defining features of complex agentic workflows.

The distinction between agents on rails and autonomous agents is ultimately a governance distinction. Agents on rails operate within predefined workflows, while autonomous agents can make decisions and coordinate with others. Both models are useful, but both require clear authority frameworks. The goal is not to eliminate autonomy. The goal is to make autonomy safe, accountable, and enforceable.

The future of the Agent Economy will depend on programmable trust. Humans and enterprises must be able to delegate authority to agents in a way that is understandable, verifiable, and revocable. Agents must be able to prove that they are acting within that authority. Other agents and systems must be able to verify those claims. This is how autonomous agents become legitimate economic participants rather than uncontrolled software processes.

References

1. FinCEN, Customer Due Diligence Final Rule. 

2. NIST, SP 800-63-4 Digital Identity Guidelines. 

3. W3C, Verifiable Credentials Data Model 2.0.
4. IETF, RFC 6749 The OAuth 2.0 Authorization Framework. 

5. NIST, Artificial Intelligence Risk Management Framework 1.0. 

6. MIT Media Lab, Project NANDA. 

7. Egan and Heim, Oversight for Frontier AI