The tool you already use doesn't need a native connector anymore

You've got a tool that runs part of your business. Maybe it's the niche CRM your sales team picked two jobs ago. The scheduling app your ops lead swears by. The inventory system your warehouse has used since before anyone remembers why.

It's not Slack. It's not Salesforce. It's not on anyone's top-20 integrations list. And every time you ask an AI tool to work with it, you get the same answer: not supported.

The long tail nobody builds for

Every AI platform ships with the integrations everyone expects — the Slacks, the Gmails, the HubSpots. Appy.AI has those too. But your business doesn't run on the tools everyone expects. It runs on the ones you picked, for reasons that made sense at the time, and that nobody's going to rip out just because a chatbot can't talk to them.

That's the gap custom integrations close. If a service has an API — and almost everything does now — Violet doesn't need Appy.AI's engineering team to have pre-built a connector for it. She can go build the connection herself, on the spot, the same day you ask.

How it actually works

You don't touch a developer portal. You don't read API documentation. You have a conversation.

1. 1
   You tell Violet what you need. Not the technical details — just the outcome. "Pull our open tickets from [tool]" or "Log new orders into [tool] every morning." You also tell her whether she should only look at data, or whether she needs to make changes too — that's the one decision she asks for up front, because it shapes everything that comes after.
2. 2
   Violet checks whether a native connector already exists. If Appy.AI already talks to the service directly, she'll use that instead — it's more capable and faster to set up. Custom integrations are for the tools that don't have one.
3. 3
   She researches the service's API — reading its documentation, confirming what's actually possible, and checking that the connection will hold up over time, not just for a single test call.
4. 4
   She tells you the plan, plainly — what she can build, and honestly, what she can't (more on that below).
5. 5
   You get one secure page. Violet tells you exactly where in the service's own settings to find each credential — an API key, a token, whatever it requires — and you enter it there, directly. Violet never asks you to hand her a password or a key in chat.
6. 6
   She verifies it with a real read. Not a "looks connected" status badge — an actual pull of your data, so you know it works before you rely on it.

What this replaces

Before this, the answer to "can you connect to [tool we actually use]" was usually one of three things: wait for Appy.AI to build a native connector and hope it's on the roadmap, hire someone to write custom API code, or give up and keep moving data by hand. Custom integrations replace all three with a conversation and a same-day connection — for the services where it's technically possible.

Where it draws the line — on purpose

Not every service can be connected this way, and Violet won't pretend otherwise. A handful of services require you to log in through their own website and explicitly authorize access — the kind of flow where you see their login page and click "Allow." Others require every request to be cryptographically signed. Both of those need a native, pre-built connector rather than a custom one, because the plumbing behind them is a different shape entirely.

If your service needs that, Violet will tell you plainly, and point you toward the closest working option — often a native connector if one exists, or another way to get the same data flowing. She won't build something that looks connected but quietly doesn't work.

There are a few other honest boundaries worth knowing. A custom integration is yours when you build it — private to you until you decide to share it with your team. It checks for new data on a schedule you set, rather than reacting to events the instant they happen. And it's built to do exactly what you asked for — read-only if that's what you chose, or read and write if you said so up front — nothing more.

None of that makes it a lesser connection. It makes it an honest one: built for what your business actually uses, doing exactly what you agreed it should.

Who this is for

If your stack is all mainstream tools, you may never notice this feature — and that's fine. It's built for the business running on the tool nobody else builds for: the industry-specific platform, the legacy system finance won't give up, the app your team picked because it was actually good at one thing. You shouldn't have to choose between switching tools and going without AI.

Tell Violet the name of the tool and what you want done with it. If it's possible, she'll tell you the plan, the limits, and hand you the one page you need — usually within the same conversation. Learn More in Help Center