AEREDIUM, a digital asset infrastructure provider, has launched two new products—The Chair and MCP Connector—designed to address the operational and compliance risks emerging as autonomous AI agents take on increasingly sensitive tasks, from writing production code to executing multi-million-dollar trades. Available through the company's newly launched aeredium.ai platform, the tools introduce policy-based controls, human oversight, and verifiable audit trails for AI-driven software development and financial operations.

Why Control Matters for Autonomous AI Agents

AI agents have moved well beyond answering questions or summarizing documents. They now write code, deploy changes to production repositories, and move real funds across blockchains. While these capabilities deliver substantial efficiency gains, they also create new exposure: a single misconfigured agent can inflict irreversible damage through erroneous commits, unauthorized transfers, or trades executed outside established risk limits. That exposure has made agent oversight a growing concern for organizations deploying AI beyond chat interfaces, since conventional governance tooling was designed around human actions rather than autonomous ones.

“AI agents are no longer just answering questions. They're writing code, moving money and making decisions that have real consequences,” said Albert Dadon, CEO and Founder of AEREDIUM. “The challenge isn't just making these agents more capable, but making sure they operate within the rules we set.”

AEREDIUM's approach is to place a control layer between the AI agent and the systems it interacts with. Every proposed action is evaluated against owner-defined policies before execution, with outcomes that are automatically approved, automatically denied, or held for human review. Each decision is cryptographically signed and recorded, producing a verifiable history of agent activity.

The Chair: Governing AI in Software Development

The Chair targets software engineering teams that use AI coding assistants to modify internal systems and repositories. Operating as a middleware layer between the agent and the development environment, it evaluates every tool call before it runs.

Key capabilities include:

• Policy enforcement: Actions such as executing commands, modifying files, merging code, or pushing changes are checked against organizational policies.
• Human review workflow: Requests falling outside predefined rules are held for approval via a control panel.
• Audit trail: Every decision generates a signed receipt documenting what the agent attempted, which policy applied, and who authorized the action.
• Integration: The product supports Claude Code, Anthropic's coding agent, through a dedicated plugin and provides a governed shell for other coding agents, including those from OpenAI.
• No-code policy setup: Organizations can define policies through a questionnaire rather than writing rules directly in code.

The Chair is available with a 30-day free trial, lowering the barrier for teams to test governance workflows before scaling.

MCP Connector: Controlled Finance for AI Agents

Where The Chair focuses on code, MCP Connector—named for the Model Context Protocol (MCP), the open standard introduced by Anthropic for connecting AI applications to external tools and data—applies the same policy-driven approach to financial operations. It combines a policy engine with a digital asset wallet, enabling AI agents to execute payments and trades only within owner-defined limits.

Key features include:

• Role-based access: Two agent roles are available. A Payer can send USDC, USDT, PYUSD, and EURC—stablecoins pegged to the U.S. dollar and the euro—to pre-approved addresses but cannot trade. A Trader can trade on designated exchanges within its own wallet but cannot send funds externally.
• Ownership control: Each agent has its own wallet, policy, and designated owner. The owner defines the agent's role, approves its mandate via a passkey, and can halt or delete the agent at any time.
• Security: Threshold signatures are generated inside secure enclaves; no complete private key is ever created, and AEREDIUM does not hold access to owner funds.
• Blockchain support: The platform currently supports Ethereum, Arbitrum, and Base, with transaction records retained for seven years—a horizon consistent with customary financial record-keeping practices.
• Framework compatibility: MCP Connector is designed for Claude and open to OpenAI and other AI frameworks.

According to the company, this design ensures that even if an agent is compromised or misconfigured, it cannot exceed its authorized scope—and every action remains traceable.

Institutional-Grade Governance Built on Existing Infrastructure

Both products build on AEREDIUM's existing institutional infrastructure, including threshold-signature technology and a policy engine already used in custody and blockchain settlement. The same principle applies: transactions must satisfy predefined rules before they can be signed, and all decisions are recorded for verification.

By extending these controls to AI agents, AEREDIUM aims to help organizations adopt autonomous systems for high-stakes tasks while maintaining oversight, compliance, and auditability. The launch also marks a strategic expansion beyond digital asset custody into the governance of AI-driven financial and software operations.

Availability

The Chair and MCP Connector launched on October 13, 2026, and are available through AEREDIUM's new AI platform.

More information is available on the AEREDIUM AI platform: The Chair: and MCP Connector:

Source: Metaverse Post (https://mpost.io/from-code-to-crypto-payments-aeredium-launches-dual-layer-controls-for-autonomous-ai-agents/)