AI agents are spending your money right now — and you have no idea what they're buying, how much they've spent, or whether any of it was authorized. LobsterFarm gives you back control.
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Organizations deploying AI agents face a new crisis: autonomous spend with zero governance. No budgets. No audit trails. No accountability.
"The bottleneck to the agentic economy isn't capability — it's control. Organizations won't authorize autonomous AI at scale until someone can answer: What is it doing? What is it spending? Who approved it?"
LobsterFarm is the administrative control plane that sits between your organization and its AI agents — governing every action, metering every dollar, and producing the reports your business needs.
Sets budgets & policies
Control plane
Act within limits
Every organization deploying AI agents hits the same wall. The technology is ready. The controls aren't.
Set spending limits per agent, per task, per team, or per project. Hard caps stop agents before they overspend. Soft caps trigger approval workflows.
Every agent action is a cryptographically-recorded transaction. Not a log file — a permanent ledger. Provable, attributable, tamper-evident.
Department spend summaries. Agent ROI reports. Compliance exports. The data CFOs need to put AI agents on the balance sheet as assets, not risks.
Define what agents are allowed to do before they do it. Role-based access control for AI — which agents access which services, with what limits.
SOC 2 auditors are now asking about AI agent authorization. LobsterFarm is the answer — export-ready compliance reports, built in from day one.
Deep experience in payments, blockchain, and platform engineering.
Built production payment SDKs in Rust/WASM and Elixir. 10+ years in crypto and fintech. Business architecture and fundraising.
Built the agent harness PoC from scratch. Deep systems architecture and platform engineering experience.
Co-built the agent harness. Core infrastructure and wrapper development. Wrapper template deployed on Cloudflare edge.
We're building it. And it works today.
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