You've heard the word. Maybe you've already used Copilot. But "AI Agent" isn't just a chatbot, and it isn't a script. It's software that thinks, decides, uses tools, and gets work done — with a person reviewing the calls that matter.
Five minutes here, and you'll know exactly what's behind the word — and why it changes how a Microsoft Dynamics 365 implementation actually works.
Three things that look similar but aren't the same thing. Pick the tab to compare.
Whether it's an AI Agent that closes books, configures a Microsoft Dynamics 365 implementation, or routes support tickets — the anatomy is the same.
An AI Agent isn't trained from scratch. It's composed — three ingredients, snapped together.
Azure OpenAI provides the reasoning layer — the same model that powers Microsoft 365 Copilot. SALT doesn't train it. We compose with it.
A persona, a goal, a set of instructions, and a rulebook. "You are a Microsoft Dynamics 365 configuration specialist. Your goal is X. You may use tools A, B, C. Escalate to a person when…"
Hooks into your Microsoft Dynamics 365 environment, your data warehouse, your email, your task queues. Permissioned, audited, reversible.
That's it. Three ingredients. Snap them together and you have an AI Agent that knows what to do, can do it, and stops when a human should make the call.
Pick a question or type your own. You'll see the AI Agent reason, choose a tool, get a result, and check itself — the same loop that runs across every SALT engagement.
Traditional Microsoft partners staff a project with consultants who click, configure, validate, and reconcile — by hand. SALT staffs the same project with AI Agents that do those things at machine speed, reviewed by a much smaller human team.
That's why SALT can deliver the same outcome at half the cost — with higher quality, because every action is logged, telemetry-instrumented, and reversible.
When AI Agents handle volume across every department, your firm becomes something different. Microsoft calls it a Frontier Firm. Read on.