https://singhaditya21.github.io/Medium/Enterprise AI and agent architecture essays. https://singhaditya21.github.io/Medium/articles/your-ai-agent-should-not-have-a-standing-role/https://singhaditya21.github.io/Medium/articles/your-ai-agent-should-not-have-a-standing-role/Fri, 21 Aug 2026 13:43:02 +0000Replace standing AI-agent authority with transaction-bound permission leases using proof-bound tokens, one-use execution, verification, and recovery. https://singhaditya21.github.io/Medium/articles/a-2-4m-account-is-escalating/https://singhaditya21.github.io/Medium/articles/a-2-4m-account-is-escalating/Fri, 21 Aug 2026 10:20:00 +0000A practical production architecture for governing consequential CRM agent actions with evidence, action-level risk, human approval, leased permissions, verification, and recovery. https://singhaditya21.github.io/Medium/articles/ai-agent-identity-is-not-enough/https://singhaditya21.github.io/Medium/articles/ai-agent-identity-is-not-enough/Thu, 20 Aug 2026 09:12:06 +0000Learn how to control AI agent access with delegated authority, scoped credentials, policy decisions, and audit receipts across five enterprise use cases. https://singhaditya21.github.io/Medium/articles/what-an-agent-actually-costs/https://singhaditya21.github.io/Medium/articles/what-an-agent-actually-costs/Wed, 19 Aug 2026 08:09:33 +0000Model inference is only part of the bill. See where production AI agent costs accumulate across governance, integration, people, and operations. https://singhaditya21.github.io/Medium/articles/enterprise-agent-control-tower/https://singhaditya21.github.io/Medium/articles/enterprise-agent-control-tower/Wed, 19 Aug 2026 04:59:40 +0000A production blueprint for governing enterprise AI agents across identity, policy, verified outcomes, risk accounting, audit, and containment at scale. https://singhaditya21.github.io/Medium/articles/agentic-crm-reference-architecture/https://singhaditya21.github.io/Medium/articles/agentic-crm-reference-architecture/Tue, 18 Aug 2026 05:56:14 +0000A practical reference architecture for agentic CRM, covering trusted context, durable orchestration, policy controls, human approval, and evaluation. https://singhaditya21.github.io/Medium/articles/traditional-crm-agentic-ai/https://singhaditya21.github.io/Medium/articles/traditional-crm-agentic-ai/Sat, 16 May 2026 16:21:16 +0000Static CRM records customer activity but rarely coordinates action. Learn how agentic AI turns it into a governed execution system for modern operations.