Native financial tools for AI agents. Policy‑controlled. Audited. Autonomous.
AI agents can write code, manage support tickets, and orchestrate entire workflows. But they're financially blind — and stuck waiting on a human. Financial agency is the missing capability.
Agentis equips AI agents with isolated, dedicated accounts, where policies are defined by humans and every transaction is audited.
Agentis is the verification and execution layer between AI and money.
is a Latin word — genitive of agēns — meaning “belonging to the one who acts.”
agentis.capital — the agent's capital
Set per-agent spending limits, approved vendors, time windows, and escalation thresholds.
AI agents call financial tools directly via MCP. Every request is evaluated against its policy in real time.
Funds leave the agent's dedicated account, settled and reconciled. Full audit trail from initiation to execution.
Agents don't just send payments — they read balances, analyse transactions, and understand cashflow before they act.
Every transaction evaluated against per-agent rules in real time. Budgets, velocity limits, time windows.
Payments above threshold require explicit human approval. 24-hour expiry. Full context preserved.
Every action logged with agent context, policy version, rules evaluated, and outcome. Append-only.
Purpose-built accounts, isolated per agent, funded by the organization. No shared pools, no commingling.
Each agent gets its own policy, budget, and vendor allowlist. Scoped API keys with prefix-based identification.
Connects as a remote MCP server to any compatible AI agent. Financial tools appear natively alongside the agent's other capabilities.
Agents only access their own scoped account.
Policy evaluated at initiation time and recorded in the audit log.
Audit logs are append-only. Every action is traceable.