
Least Privilege for LLM Tool Execution — Scope, Whitelist & HITL Guide
Least privilege for LLM tool execution: scope AI agent tool & API permissions with whitelists, read-only keys, HITL approval, and audit logs for production.
14 articles on "AI Agents" — implementation case studies, PoC design, and operational know-how on AI, DX, and security for executives and IT teams.

Least privilege for LLM tool execution: scope AI agent tool & API permissions with whitelists, read-only keys, HITL approval, and audit logs for production.

Use AI not to cut hours, but to amplify output. Data-backed strategies for lean teams—from startups to elite enterprise units—on maximizing AI leverage for peak productivity.

Producing AI agents requires embedding operational costs and economic models into the design layer—not just reducing tokens. B2B design principles for 2026 explained.

Learn how "agentic commerce"—where AI agents autonomously buy and transact—works, and the key practices B2B companies need for sales and marketing success.

A framework selection guide for Thai B2B companies deploying AI agents in production. Compares LangGraph, CrewAI, Mastra & AutoGen on multilingual support, PDPA compliance, and local engineer fit.

A practical guide for Thai manufacturers to design & operate AI agents that autonomously handle RFQ-to-PO workflows, as B2B transactions shift to AI agents. Covers HITL & audit log design.

From basics of multi-agent AI orchestration to Planner-Executor patterns, job scheduling, and observability design—explained through our B2B implementation perspective.

AI agents create new attack surfaces via MCP / Skills. An enterprise implementation guide covering MCP by-design vulnerabilities, malicious skill delivery, and SSRF mitigation.

Service as Software (SaS) is a new model where AI agents autonomously execute tasks, billed by outcomes. Learn how it differs from SaaS and key adoption criteria.

5 barriers to moving AI agents from pilot to production—and how to overcome them. Practical steps for quality control, system integration, governance & org structure.

Practical guide for implementing AI agents: KPI design, ROI calculation & continuous improvement cycles. Visualize ROI and create compelling reports for management.

Learn how AI agent protocols like MCP and A2A work. A foundational guide to tool integration and inter-agent communication design in multi-agent systems.
