AI Connectors & Integrations
In development. Taking enquiries.
- ·The connector is the deliverable: a mapping between two record shapes, the retry behaviour when one side is down, and a log a person can read.
- ·The platforms stay mainstream, so the business is not tied to one contractor for the rest of the connector's life.
| Becomes live when | A working connector between two named platforms is published with its export, its field mapping and one recorded run. |
| Built with | n8n · GoHighLevel · REST APIs · Node.js |
| Delivered by | automation-engineer · api-designer |
| Skills used | n8n-delivery · ghl-delivery · api-conventions |
What this involves
The connector is the deliverable, not the automation platform it runs on. That means a mapping between two record shapes, an agreed answer for what happens when a field exists on one side and not the other, retry behaviour for when one system is down, and a log a person can read when a record does not arrive.
The platforms stay mainstream on purpose. A business that has to keep one contractor reachable in order to keep its integrations alive has bought a dependency rather than a system, and the way to avoid that is to build on tools their next hire will recognise.
This service overlaps closely with AI Automation, and both are listed as offered with no openable sample. They should collapse into one entry as soon as either has one. Saying so here is cheaper than a visitor working it out and wondering what else is padding.
How the work runs
1. Discovery
We agree what the project has to achieve, what it must not break, and how we will both know it worked, before any code is written.
2. Build
The work is built with an AI agent as the working partner and a human reviewing every change before it lands. You get commits you can read rather than a status update.
3. Review
You review running software at each milestone, not a screenshot of it, and the next milestone absorbs what you send back.
4. Launch
We deploy to production with checks in the pipeline and alerting that reaches a human, and you hold the repository and the infrastructure accounts.
Questions people actually ask
What decides whether a connector is worth building?
How often the retyping happens and what it costs when it is done wrong. A transfer that runs twice a month rarely repays the maintenance the connector will need. One that runs fifty times a day, or once a month with money attached, usually does.
What happens when one of the two systems is down?
That is a design decision to make before the build, not a bug to discover after it. The options are to queue and retry, to fail loudly to a human, or to drop and reconcile later, and they have different costs depending on whether a duplicate or a gap is worse for the record in question.
Who owns the connector afterwards?
The client, and it belongs in the scope document rather than being assumed. That means the workflow export, the credentials in accounts the business controls, and documentation good enough for another developer to change a field mapping without calling anyone.