Trust & Compliance
MoTA helps professional investors work with AI agents for portfolio analysis, risk review, decision preparation, and trading workflows — while keeping account access, data permissions, and final trading decisions under user control. AI agents can help organize information, surface risks, generate explanations, and prepare candidate actions. They do not replace user judgment, guarantee outcomes, or independently place real trades without user confirmation.
Permissioned Account Access
MoTA uses user authorization as the foundation for brokerage account connection, data access, and account-related product capabilities. Users control whether accounts are connected, whether permissions are granted, and whether authorization is revoked where supported.
Structured AI Analysis
MoTA's AI agents are designed to support structured investment workflows. Agents may help analyze portfolios, market context, risk factors, holdings, and candidate actions. Their role is to assist analysis and decision preparation, not to replace user judgment.
Human Review & Trading Confirmation
Real trading workflows require user review and explicit confirmation. AI agents do not independently place real trades without user confirmation. Before a real trading action is submitted, users are expected to review relevant order details, account context, data status, and risk information.
Reviewable Activity Records
MoTA's governance design supports reviewability for important actions. This may include records related to authorization, account connection, agent activity, signal generation, trading previews, user confirmations, blocked actions, sensitive data access, and downstream workflow events.
MoTA may support real trading workflows through connected brokerage accounts and third-party infrastructure.
MoTA is designed to separate account connection, AI analysis, decision preparation, user confirmation, and trading execution into distinct steps. A typical real trading workflow may involve:
- A connected brokerage account
- AI-supported portfolio, market, or risk analysis
- A candidate action or trading workflow
- A user-facing trading preview
- User review of order details and relevant context
- Explicit user confirmation
- Submission through connected brokerage or third-party infrastructure
AI agents do not independently place real trades without explicit user confirmation.
User confirmation does not guarantee execution. Actual execution may depend on brokerage acceptance, account status, order type, liquidity, market conditions, third-party platform availability, product controls, and applicable agreements.
Explore MoTA with the right controls in place.
Apply for access to see how AI agents can support investment workflows while keeping users in control of account access, data permissions, and final trading decisions.