Aditya Singh essays

Aditya Singh essayshttps://singhaditya21.github.io/Medium/2026-08-21T13:43:02.000ZAditya Singh Your AI Agent Should Not Have a Standing Rolehttps://singhaditya21.github.io/Medium/articles/your-ai-agent-should-not-have-a-standing-role/2026-08-21T13:43:02.000Z2026-08-21T13:43:02.000Z

Replace standing AI-agent authority with transaction-bound permission leases using proof-bound tokens, one-use execution, verification, and recovery.

A $2.4M Account Is Escalating. Should the AI Agent Act?https://singhaditya21.github.io/Medium/articles/a-2-4m-account-is-escalating/2026-08-21T10:20:00.000Z2026-08-21T10:20:00.000Z

A practical production architecture for governing consequential CRM agent actions with evidence, action-level risk, human approval, leased permissions, verification, and recovery.

AI Agent Identity Is Not Enoughhttps://singhaditya21.github.io/Medium/articles/ai-agent-identity-is-not-enough/2026-08-20T09:12:06.607Z2026-08-20T09:12:06.607Z

Learn how to control AI agent access with delegated authority, scoped credentials, policy decisions, and audit receipts across five enterprise use cases.

What an Agent Actually Costshttps://singhaditya21.github.io/Medium/articles/what-an-agent-actually-costs/2026-08-19T08:09:33.542Z2026-08-19T08:09:33.542Z

Model inference is only part of the bill. See where production AI agent costs accumulate across governance, integration, people, and operations.

The Enterprise Agent Control Tower: A Production Architecturehttps://singhaditya21.github.io/Medium/articles/enterprise-agent-control-tower/2026-08-19T04:59:40.266Z2026-08-19T04:59:40.266Z

A production blueprint for governing enterprise AI agents across identity, policy, verified outcomes, risk accounting, audit, and containment at scale.

How to Build an Agentic CRM: A Reference Architecturehttps://singhaditya21.github.io/Medium/articles/agentic-crm-reference-architecture/2026-08-18T05:56:14.313Z2026-08-18T05:56:14.313Z

A practical reference architecture for agentic CRM, covering trusted context, durable orchestration, policy controls, human approval, and evaluation.

Why Traditional CRM Will Die Without Agentic AIhttps://singhaditya21.github.io/Medium/articles/traditional-crm-agentic-ai/2026-05-16T16:21:16.647Z2026-05-16T16:21:16.647Z

Static CRM records customer activity but rarely coordinates action. Learn how agentic AI turns it into a governed execution system for modern operations.