A Six-Step Framework for Auditing Enterprise AI Agents

This story was originally published on HackerNoon at: https://hackernoon.com/a-six-step-framework-for-auditing-enterprise-ai-agents. A six-step framework for finding, scoring, consolidating, and retiring enterprise AI agents based on cost, value, ownership, and governance risk. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #enterprise-ai, #ai-governance, #ai-cost-optimization, #agentic-ai, #finops, #ai-strategy, #ai-agents, #ai-agent-sprawl, and more. This story was written by: @eshaanjain26. Learn more about this writer by checking @eshaanjain26's about page, and for more stories, please visit hackernoon.com. Enterprises spun up AI agents fast, and now many run dozens that overlap, duplicate work, and each carries a token bill and a governance risk. This is the next shadow IT. I run cost and governance on large Salesforce programs, and here is a 6-step method to inventory your agents, score them, and retire the ones that cost more than they return.