All that glitters is not gold: weighing the pros and cons of an AI-Coded Business Central integration

Someone on your team has proposed it: let’s use AI to code our Business Central integration ourselves. It sounds reasonable. It’s fast, it’s cheap, and the person pitching it is confident they can pull it off. Saying yes means your order data, customer data, and payment data will run through that connector. Those orders are the reason your business exists, pays its people, and can plan for what’s next. What do you actually know about what’s inside that AI-generated connector?

AI can code, and increasingly well. That’s not the question. What matters is making an informed decision about what handles your data safely and reliably. So below, we lay out an AI-generated connector next to a Tinx connector, pros and cons on both, so you can decide for yourself. By the end, there’s a short list of questions worth being able to answer with a confident yes before you approve either path.

Option 1: the AI-coded Business Central connector

First, what building it yourself with AI actually looks like: what you gain, and what you’re taking on.

Pro’s of an AI-generated Business Central Connector

• Lower direct cost. No invoice from a third-party partner and no implementation fee. It shows up as hours spent by an employee, not as a line item that needs sign-off.
• Fast to get running. A working first version can exist within days, sometimes hours, which makes it an easy yes in a planning meeting.
• No vendor selection process. You skip proposals, contracts, and waiting on someone else’s roadmap. Your team just starts building.
• Full control over timing and changes. No waiting on a partner’s schedule, ticket queue, or roadmap. Your team can change something the moment they decide to.
• No long-term commitment. Nothing to renew, cancel, or renegotiate. No ongoing relationship or contract required to keep it running. Maybe only a subscribtion to an AI-tool.

Con’s of an AI-coded Business Central connector

• Knowledge sits with one or two people. If that person leaves or is unavailable, there may be no one left who can confidently maintain, debug, or extend a live connector.
• No built-in awareness of Business Central’s next update. Someone has to actively track Microsoft’s release notes and rebuild what breaks, or it surfaces only once something’s already gone wrong.
• Your data runs through code nobody outside your team has reviewed. It’s worth being able to answer what the code does with that data, where it’s logged, and whether it’s encrypted.
• GDPR fines are real, not just hypothetical. Up to €20 million or 4% of global turnover. A risk a side-built connector was never designed to carry.
• Ownership isn’t as clear-cut as it seems. AI-generated code sits in a legal gray area around authorship and licensing. Worth checking with legal before assuming it’s fully yours.
• It’s a black box, even to the people who built it. The code can work without anyone fully understanding why, or wether it follows your business rules. That is fine for a one-off script, less fine for something handling valuable customer data daily.
• No one to call when it matters. No account manager, no escalation path, no one contractually on the hook if something goes wrong.

The honest question underneath all of this: are you confident that your customer data isn’t at risk? Not because someone told you it’s fine, but because you actually know what’s happening to it? That’s not always an easy question to answer. And it’s not only about today’s compliance exposure. Data is what your business will keep building on for years, so how it’s handled now shapes how much of it you can actually trust and use later.

That’s the trade-off worth weighing.

Option 2: the Tinx Business Central connector

Now the alternative. What changes when a specialized team builds and maintains it for you.

Pro’s of the Tinx Business Central connector

• Personal contact with consultants. You get people who know your setup and answer questions directly. Technology backed by a relationship, better together
• Experts who actually know Business Central’s data model. Our consultants understand how BC’s data structures, APIs, and edge cases behave in practice, and tailor the connector to how your business actually operates.
• Business Central updates are included, not your problem. We track Microsoft’s release notes and roadmap continuously, as our actual job, and adapt connectors before changes cause a break.
• We own the code, built on 15+ years of experience with connectors to Shopify, WooCommerce, Amazon, Shopware, and many more. We know it inside out and can shape it precisely to fit your business. It is not a generic template, and definitely not a black box. The edge cases that catch a first-time build off guard are things we’ve already solved.
• You’re not dependent on one person. A team holds the knowledge, not an individual so continuity doesn’t hinge on any single person staying at the company.
• Compliance is part of how we build, not an afterthought. Data flows, encryption, and privacy-by-design are standard practice on every connector we build.
• Clear accountability. If something breaks, or a compliance question comes up, there’s a named party responsible for the answer.

Con’s of the Tinx Business Central connector

• A recurring monthly invoice. The cost is visible and ongoing, rather than buried in internal hours that never show up on a budget line.
• You don’t own the code outright either. It lives with us, not your team. The difference is you know exactly who holds it, and can reach them directly.
• Slower to get started. Proper scoping and onboarding takes longer than writing a first prompt. A same-day start isn’t on the table, but a good call definitely is.
• Less flexibility for instant, in-house tweaks. Small changes go through us rather than someone typing a new prompt on the spot.

Questions worth answering before an AI-coded connector goes live

Whichever path you’re leaning toward, these are worth being able to answer with a confident yes before the connector goes live.

• Data flows: Can someone map, in writing, exactly where customer and order data goes once it enters this connector, and who has access to it?
• Privacy by design: How does this connector meet GDPR’s privacy-by-design requirements, in specific technical terms and not “we asked the AI to keep it secure”?
• Continuity: If the person who built this leaves tomorrow, who maintains it?
• Change management: Who is responsible for tracking Business Central updates, and what happens the day something breaks?
• Ownership: Has anyone actually confirmed who owns this code, legally?
• Business rules: Are they documented, reviewed and tested?

AI-coded connector vs. professionally built: the desicion that actually matters

We’re not judging anyone for wanting to build with AI. It’s a trend we understand. The tools are genuinely good, and the appeal of moving fast is real. We use AI ourselves, every day, to work faster too.

We’ll be upfront: we’re not a neutral party here. We build and maintain connectors for a living, so of course this article leans toward that. But the risks we’ve laid out aren’t invented to make a sale. They’re risks we know well, because managing them for Business Central environments is our actual job.

For more than 15 years, our team has built and maintained standard connectors between Business Central and platforms like Shopify, WooCommerce, Amazon, Shopware, and many more, which means Business Central’s updates, data flows, and compliance questions are things we track continuously. Our own developers use AI in their work too, but always with a full understanding of the source code it touches. The expertise stays with the people, not the tool.

Can you answer every question above clearly and confidently? If not, that’s worth closing before anyone approves the build.