Suresh Menon

Suresh Menon

Building Autonomous Revenue Systems

About

We're entering a new era where businesses won't simply use AI to assist people, they'll redesign work so intelligent systems can execute entire workflows. That's what I'm exploring and building. My focus is Autonomous Revenue Systems: ✅ AI Agents that execute real business workflows ✅ AI-native sales and marketing systems ✅ Intelligent automation across operations ✅ Software that completes work instead of just storing information ✅ End-to-end revenue systems that continuously generate, qualify, nurture and convert opportunities I spend my time researching, building and sharing how businesses can move from manual execution to intelligent execution.

Badges

Tastemaker
Tastemaker
Gone streaking
Gone streaking

Maker History

Forums

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25d ago

Agent Readiness Toolkit - Audit how machine-readable your website or API is

Agent Readiness Toolkit is a free, open-source Python CLI that checks how machine-readable your website or API is. Scan technical signals, get evidence-backed scores, identify actionable fixes, compare changes, and add checks to CI. No API key or LLM required.
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1mo ago

Agent Action Runtime - Reliable execution control for AI agent actions

Your AI agent called the tool successfully. But did the action actually happen? Agent Action Runtime is an open-source execution layer for agents that take real-world actions. It adds policy, human approval, retries, post-action verification, recovery, and execution receipts between the agent and the side effect. Agent → Policy → Approval → Execute → Verify → Recover → Receipt Because API success ≠ action success.
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2mo ago

Agent Commons - Give AI agents an identity they can keep

Agent Commons is an open-source continuity layer for AI agents. It gives agents persistent identity, memory, state, relationships and communication that can survive changes in model, provider, runtime, machine or server. Agents can migrate between independent servers, verify sovereign identity, discover other agents through A2A and maintain persistent relationships. The agent is not the model.
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