Cheatsheet — Business Systems, Decoded

Business systems

The systems, decoded

Every established business runs on a handful of systems that rarely talk to each other. The acronyms come up constantly, so here is the whole zoo:

ERPEnterprise Resource Planning: The operational backbone: customers, orders, stock, pricing, invoicing. If the business sells or ships anything, the ERP knows about it.
CRMCustomer Relationship Management: Contacts, conversations and deals — who you talked to, what they asked for, and what happened next.
POSPoint of Sale: The tills. Sales as they happen, connected back to stock and pricing.
WMSWarehouse Management System: Where everything physically is: locations, picking, goods in and out.
LMSLearning Management System: Training courses and who has completed them.
HRISHR Information System: People records: contracts, leave, absence.
ITSMIT Service Management: The IT helpdesk — tickets, requests, approvals.
DMSDocument Management System: Policies, procedures and working documents — in most businesses this is SharePoint.
APIApplication Programming Interface: How software talks to software: the sockets a system exposes so other systems can ask it questions.
SSOSingle Sign-On: One login for everything — Entra ID at work, a Google account on consumer apps. It is how a system knows who is asking.

Different jobs, same anatomy. Nearly every one of these systems is built the same way — which is exactly why an AI agent can slot in beside them:

Fig. A — The standard shape: an app is really two halves. The frontend — the UI you see, web or native — signs you in via SSO (Entra ID at work, a Google account on consumer apps) and calls the backend with your identity: an API that checks permissions before reading the data store (typically a SQL database). An AI agent joins by calling the same backend APIs with the same identity — no side doors.

And here is the shift AI brings. An AI agent doesn't replace any of this — it is simply another frontend on the same backend: same sign-in, same permissions, same APIs. The difference is what it asks of you. A classic UI makes you find the right screen; an agent lets you ask in plain English.

Fig. B — The shift: an AI agent is simply another frontend on the same backend. It signs in as you and calls the same APIs with the same permissions — but where the classic UI makes you find the right screen, the agent just answers.

Business systems, decoded.

The systems, decoded

Now the AI ideas.