How are you handling financial controls for autonomous AI agents?

A developer built Valta, an infrastructure layer for financial controls on autonomous AI agents, addressing the challenge of managing spending limits and audit trails without sacrificing autonomy. The tool provides per-agent balances, hard spending limits, and policy enforcement outside the agent itself.

As agents start using paid APIs, browsers, and external services, the control problem becomes very real.Most teams are currently stuck between two bad options:Give the agent direct access to payment methods and hope it doesn’t do something expensive Require human approval for every paid action and lose most of the autonomy benefit Writing custom guardrails in code helps at first, but they’re difficult to audit and tend to break as prompts and agent behavior evolve.What seems to be missing is proper infrastructure at the financial layer — things like per-agent balances, hard spending limits that the model cannot override, clear audit trails, and policy enforcement that lives outside the agent itself.How are other people solving this in practice?We built an early version of this kind of infrastructure and would really value feedback from developers who are actually shipping agentic products: https://valta.co https://valta.co