AI integration services your team will actually use.
Nobody on your team wants one more app to log into. We add AI to the screens they already work in, such as the CRM, the ERP or the shared inbox. It reads what comes in and prepares the record, and a person checks it before clicking save.
- Where the AI works
- In the CRM, ERP, helpdesk, inbox or intranet your team opens every morning.
- What your team learns
- A new button or a pre-filled field, on screens they already know.
- What stays yours
- The data and the access rights. You also pick the model, and can switch later.
The gaps between your tools, where your team loses its days.
Each system usually works well enough on its own. The hours go when someone copies a figure from one screen into another and checks it twice. An integration removes that step, as in these six typical cases.
CRM that fills itself in
BeforeAfter every call or meeting, someone types a summary into the CRM, or forgets to.
AfterCall notes and emails turn into a CRM update and a draft follow-up. The rep reads it and clicks send.
Helpdesk with context
BeforeYour support staff open four screens to understand a ticket before writing a single word.
AfterThe ticket opens with the customer’s history on screen and a suggested reply already written.
ERP without retyping
BeforeOrders, quotes and delivery notes are keyed in by hand from emails and PDFs.
AfterThe order is read from the PDF, checked against the ERP, and waits as a draft record for someone to confirm.
Inbox that sorts itself
BeforeA shared mailbox is read by three people, each one wondering who will answer.
AfterEach message is tagged with what it asks for and lands with the person who handles it.
Intranet that answers
BeforeProcedures exist, somewhere, in a folder nobody can find on a busy day.
AfterA question typed in the intranet gets an answer from your own documents, with the source.
Reports that write the first draft
BeforeEvery month, figures are pulled from three systems and pasted into a slide.
AfterThe draft report is assembled from the sources, with the numbers linked back to where they came from.
What are AI integration services?
AI integration services connect a language model to the software a company already runs, so that AI works inside existing screens and processes instead of in a separate app. The model reads your data through secure connections, prepares or completes work in your tools and follows your access rules. Your team keeps its screens and spends less of the day on data entry.
AI implementation often starts the wrong way round: a new platform is bought, a pilot runs, and a few months later nobody opens it. We start from the screens your team uses every day and look at what a model could prepare there.
Behind those screens, most of the work is careful plumbing. We use a system’s official API when it has one and build a connector when it does not. The AI runs under its own account with the least access it needs, every call is logged, and the model is hosted where your data is allowed to go.
Built-in AI, no-code automation or custom integration: which path fits?
Built-in features and no-code tools often do the job for simple needs. Custom integration earns its cost when the work crosses several systems and follows your own exceptions.
| Criterion | AI built into your software | No-code automation tools | Custom AI integration |
|---|---|---|---|
| Works across several of your systems | No, inside one product | Yes, for simple flows | Yes, designed for it |
| Follows your own rules and exceptions | Only the vendor’s | Up to a point | Yes, written with you |
| Where your data is processed | Decided by the vendor | Decided by each tool in the chain | Chosen by you, in the EU if needed |
| Choice of AI model | None | Limited to what is offered | Open, and can change later |
| When a system changes | Handled by the vendor | Flows may break silently | Monitored, with alerts |
| Best for | Quick wins inside one tool | Light, low-risk automations | Work that crosses systems and matters |
From the first week to the whole team.
Week 1
Map the flows
We sit with the people who do the work and note every place where a figure travels by hand from one screen to another. You get a written scope and a fixed price.
Weeks 2 to 3
Connect, with least access
Each system is reached through its official interface when it has one, with a dedicated account and only the rights the job needs.
Weeks 3 to 5
Try it on real work
A small group uses it on real cases. We adjust the prompts and the screens wherever it slows them down.
Then
Roll out and watch
The integration opens to the whole team, with monitoring on every connection and a report on the time it gives back.
You keep control of every system we connect.
Security and dataThe model reads only what the task needs.
It fetches the records a task requires when the task runs, and copies nothing else.
Your access rules still apply.
A person only sees through the AI what they could already see in the tool.
Every call is logged.
For each call, you can see what went to the model and what came back. The log stays on your side.
Your data stays where you decide.
EU-hosted models, a private cloud or your own servers, depending on what the data allows.
You can pause it at any moment.
Your systems keep running without it, exactly as they did before the integration.
Why the connections cost more than the model.
Calls to a language model are cheap next to the work of connecting your systems safely and testing the result on your own cases. The list below is what moves the budget. You get the scope and the price in writing at the end of the first week.
See market ranges in the AI agent cost guide- 01How many systems are connected, and whether they offer a proper API.
- 02Whether the AI works in real time or in scheduled batches.
- 03The volume of documents, messages or records it processes each month.
- 04Where the model must run: EU cloud, private cloud or your own servers.
- 05The security review and documentation your organization requires.
AI integration: the questions buyers ask us
Do we have to change our software to integrate AI?
No. We connect to your existing CRM, ERP, helpdesk or intranet through their interfaces. When a system has no interface, we work from the exports, files or emails it already produces.
Which tools can you integrate AI with?
Any system that can be reached securely: the major CRMs and ERPs, helpdesks, shared mailboxes, document storage, intranets and in-house databases. Older software is often easier than expected, because it already exports its data somewhere.
Will our data be used to train an AI model?
No. We use models under terms that exclude training on your data, or models hosted in an environment you control. Where your data may go is written into the scope before any connection is made.
What is the difference between AI integration and an AI agent?
An integration brings AI into a screen or a flow where a person stays in charge of each step. An agent carries a whole task on its own and asks only when unsure. Many projects start with integration, then add agents where the rules are clear.
Who maintains the integration once it is live?
We can run and monitor it for you, with alerts when a connected system changes. Or we hand it over to your team with the code, the configuration and the documentation. Either way, it belongs to you.
How do we choose where to start?
Start where the copying hurts most: the flow that the most people touch, with the most retyping between two systems. The first week is spent finding it with your team, and ends with a written scope.
In the same family
Often built together
- AI agents When a whole task can run on its own.
- Knowledge assistant When the answer sits in your documents.
- Document AI When the data arrives as PDFs and scans.
- Custom software development When no existing tool fits the job.
- Private LLM When the model must run on your side.
- AI use cases Where companies plug AI in first, function by function.
Which retyping between two tools would you stop first?
Name two tools and the data your team copies between them. Within one business day, we tell you whether an integration would pay off there, then look at it with you in a free 30-minute assessment.