Agents as customers: your business is built to keep them out
AI agents already buy, book and ask for support on people's behalf. Most businesses stop them at the door. What an agent needs from you, and what to do now.
Everything Sunil Kumar has written about agentic ai in the context of agentic AI in production.
AI agents already buy, book and ask for support on people's behalf. Most businesses stop them at the door. What an agent needs from you, and what to do now.
An AI SRE agent finds the root cause of a production issue and proposes the fix. How Uber's Debug Assist works, how Ailoitte runs it, and how to adopt one.
Single agent or multi-agent? Atallah says ten specialists beat one superagent. Masad runs one agent across Replit. Here's how CTOs should choose.
Rivals are moving routine AI work to small models they own, at about a tenth of the cost. Why SLMs win the enterprise and how to start before the gap compounds.
How to add a decision layer to an agent harness without handing the model authority. Eight steps for a CoE or R&D team, the risks, the compliance checks, a lab.
A payables agent stopped and asked a human 1,900 times in three weeks. By week three the human said yes in four seconds, once to a changed bank account.
AI software factories, explained for executives. What a dark factory is, the four levels of letting go, and why blast radius picks your level, not the vendor.
MCP vs API in plain English for department heads and CXOs. One remote per device against one USB-C port, and the sum that decides what your agents cost.
Leverge runs 306 agents across 13 functions. Where they cluster, why the process is the unit rather than the agent, and the rule that makes enterprises say yes.
What "Agentic in Production" means - Sunil Kumar's thesis that the hard part of enterprise AI agents is everything after the demo, and the four tests.