Estonia plans to become the first country to create official digital identities for AI agents, setting up a system where autonomous software can act on behalf of people, companies or organiza
Estonia plans to become the first country to create official digital identities for AI agents, setting up a system where autonomous software can act on behalf of people, companies or organizations with defined limits.
Prime Minister Kristen Michal backed the proposal after the Eesti.ai advisory board’s second meeting, with the government moving forward on digital identities for AI agents, also described as AI ID codes. The goal is to make agent activity verifiable and auditable before autonomous systems become common inside public services, business workflows and financial tasks.
The core issue is delegation. An AI agent may soon compile reports, prepare declarations, interact with registries, draft documents or initiate payments for a person or company. Estonia wants those actions tied to a clear identity, a clear owner, defined rights and an audit trail, rather than forcing users to give AI assistants broad access to all services, data and permissions.
The government’s examples show how narrow those powers could become. An AI agent may be allowed only to view data, prepare a document, draw up a payment, or act within a specific financial limit. That makes the ID-code model closer to controlled digital authority than a generic login for bots.
Estonia’s digital state was built around identity, signatures, X-Road infrastructure and traceable digital footprints. The AI-agent proposal extends that model beyond human users and registered organizations into autonomous systems that act inside the same service layer.
That shift is larger than a technical update. Digital government has historically assumed that humans authenticate, authorize and take responsibility. AI agents break that model because they can perform multi-step tasks without constant human input. Without a recognized identity layer, those agents remain difficult to supervise, limit or hold accountable when they cross between public services, private systems and payment flows.
ERR described the plan as Estonia’s attempt to become the first country to issue ID codes to AI agents, with Michal framing the move around trust and accountability. The country is trying to avoid a future where convenience comes from giving AI systems too much access and then trying to reconstruct responsibility after something goes wrong.
The plan also fits Estonia’s wider AI push. The Eesti.ai initiative aims to increase productivity through public-private collaboration, and earlier government-backed material framed the program around a 25% GDP lift within five years and broader AI deployment across the economy.
AI identity is becoming more important as agents start to transact, not only answer questions. Once autonomous systems can move money, access accounts, sign requests or execute workflows, identity and authorization become financial infrastructure.
That is why Estonia’s model has relevance beyond government portals. Payments companies and crypto networks are already building rails for agent-driven commerce. Mastercard recently launched Agent Pay for Machines, while Base has pushed AI agent payment rails through x402 as software agents begin using stablecoins and online payment credentials more directly.
The missing layer is often accountability. A payment rail can move value, but an AI identity framework can define which agent acted, who authorized it, what limit applied, and which audit trail proves the action was allowed. Estonia is trying to build that logic into the state identity layer before agentic workflows become too large to govern cleanly.
That also makes the proposal different from basic bot labeling. The government is not only asking whether users should know when they are dealing with AI. It is asking how AI agents can authenticate, act with limited powers and leave verifiable records when they perform tasks for real people and organizations.
The ID-code plan is still a policy direction, not a finished national rollout. Estonia must define the legal status of agent authority, delegation rules, liability, security standards, revocation, logging, data access and the limits of what an AI agent can do without additional human confirmation.
Those details will decide whether the system becomes useful infrastructure or another compliance layer. If the rules are too loose, agents could gain excessive access to public and private systems. If they are too restrictive, the productivity benefits may stay trapped in pilots and internal workflows.
Estonia’s advantage is that it already has a digital-state base strong enough to test the model. Its next step is to turn AI agent ID codes from an advisory-board proposal into a working identity layer where agents can act with narrow rights, financial limits, auditability and clear human or organizational responsibility behind every action.
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