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Get more out of Exact with Synergy AI: what an AI agent inside Synergy actually does for you

If your team works in Exact Synergy daily, a large part of the day goes into processing documents, requests and manual actions. An AI agent that works directly inside your Synergy environment — select data, choose an assistant, give a command in plain language — changes that. Concrete use cases for account management, contract management, project leaders, finance and HR. You pick the data, the AI does the analysis, Synergy executes it.

What does AI in your ERP really mean?

The honest answer to "what does AI in your ERP do?" starts with what it doesn't do: a chatbot on top of Exact, AFAS or Business Central solves no real problem. The shift happens when AI can act inside your ERP through tool calling — choosing for itself which integration to invoke to complete a task, turning years of integration work into autonomous capability.

How employees without technical knowledge use AI in your ERP

The fear in every boardroom: "we don't have the people who can build this." Justified, if you think in developers and Python scripts. But that's not how it works anymore. Anyone who can type a mail can operate an AI agent. The people who know the process steer the agent — not the other way around. How finance, service, sales and HR employees use this in practice.

How AI agents make your documents searchable without new software

Every company older than five years has the same problem: thousands of documents in the ERP, and no way to find anything specific in them. The classic solution is a DMS migration — expensive and often unsuccessful. AI agents change this fundamentally: documents stay where they are, but become searchable on content. Concrete use cases for legal, sales, service and finance teams.

What's the difference between ChatGPT and an AI agent in your ERP?

"Why don't we just use ChatGPT?" is a reasonable question that misses something fundamental. ChatGPT is brilliant for brainstorming, writing and summarising — but it doesn't touch anything in your systems. An AI agent has tools at its disposal: it retrieves data, compares, writes back and sends, within your rights and with an audit trail. Both useful. Both different. When to use which.

Voice to ERP request: what it looks like in practice

For twenty years, process digitisation has almost-but-not-quite worked for employees who work outside. The technician, the driver, the inspector. What happens: the registration gets added in the evening, or not at all. Voice-driven AI agents remove that friction: speak, the agent transcribes, matches, creates the work order line, schedules follow-ups. The paradox: to get smarter with AI, you need better data — and you get that by lowering the barrier to recording it.

From one agent to a network: what happens when AI starts running your processes?

Most organisations now have one AI assistant in their ERP, handling questions and summaries. But that's the preliminary step. The real shift is a network of specialised agents — purchasing, sales, logistics, finance — orchestrated together to run entire processes, while humans keep decision authority at the points that matter.

Why you shouldn't build AI with n8n or Make when you work seriously with ERP

Grabbing n8n or Make to glue a language model to your ERP sounds attractive — cheap, flexible, fast. For simple tasks it works. For serious ERP processes it breaks within three weeks, producing silent errors no one notices. Why domain knowledge, proper partners, and enforced security and rights are non-negotiable when building AI on ERP data.

Robert Keunen

Apr 18, 2026

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