AI & Automation

Practical AI for operations: agents, automation and the guardrails that keep them safe.

4 articles

Guardrails for AI in Operations: Approvals, Audit Trails and Keeping a Human in the Loop

How to control an AI that acts: least privilege, approval matrices by reversibility and amount, maker-checker, idempotency, kill switches, audit records, prompt-injection defences, and what the EU AI Act, ISO 42001 and NIST ask in 2026.

Anichur Rahaman1 month ago13 min

AI agentsCustomer experienceReturns management

AI Customer Service for Online Stores: Where It Helps (WISMO, Returns) and Where It Hurts

AI support works when it answers from live order and courier data and hands off with context. See which intents to automate, how a WISMO answer is built, a worked cost example, EU disclosure rules and a rollout plan.

Anichur Rahaman1 month ago12 min

MCPAI agentsSoftware architecture

MCP Explained for Business Owners: Connecting AI to Orders, Stock and Books Safely

The Model Context Protocol in plain words: how it works, where it came from, what to expose first, and the permission, audit and prompt-injection controls to demand from any vendor before an AI assistant touches your data.

Anichur Rahaman1 month ago12 min

AI agentsERPAutomation

AI Agents Inside the ERP: What They Can Safely Do in 2026 and What They Shouldn't

Agents now take actions inside business systems, not just answer questions. Use a four-level risk ladder, five safe first use cases, a vendor checklist and a 90-day pilot plan to decide what to hand over.

Anichur Rahaman2 months ago12 min