AI that works inside the system you already use, not next to it Your team has access to an AI model that's great at summarizing emails or classifying tickets — but to use it, someone has to copy data out of the CRM into a separate window, paste the result back, and hope nobody forgets to do it. One more tool sitting next to the system, instead of a capability inside it.
Ready to publish without client data. --- # AI that works inside the system you already use, not next to it
Your team has access to an AI model that's great at summarizing emails or classifying tickets — but to use it, someone has to copy data out of the CRM into a separate window, paste the result back, and hope nobody forgets to do it. One more tool sitting next to the system, instead of a capability inside it.
A company invests in AI but ends up using it outside the system the team actually works in — a separate chat, a separate tab, manually moving data back and forth. The convenience of automation disappears the moment an extra step gets added that someone has to remember for every single case.
The bigger the team, the higher the chance that extra step gets skipped — and then the AI exists on paper, but not in the daily workflow.
We connect an AI capability directly to your ERP or CRM through the system's own API — a summary, a classification, a drafted reply appears right where the team already works, with no switching between apps. Data doesn't leave your system any more than necessary to complete the task.
We build the integration around one specific process in your system — say, classifying tickets in your CRM or summarizing an order in your ERP — not a generic "connect AI to everything." We check your system's API limitations before quoting a price, so we don't promise an integration the system technically can't support.
What we don't do: we don't build an integration that bypasses the user roles and permissions already set up in your system — the AI operates within the same access limits as everything else.
This is a new service line — we don't yet have published deployments to show off, and we say so directly rather than inventing references. We run first deployments on preferential terms, in exchange for the right to describe the result, without client data, as a reference case.
The scope covers one AI capability connected to one system — for example, classifying tickets in your CRM.
Price depends on your system's API capabilities, the number of functions to integrate, and whether a change on the system vendor's side is needed. You know the amount after the API analysis, not before it.
You set the success threshold. Before we start, we agree on the accuracy level the AI capability must reach on test data for the rollout to make sense.
Your data stays under control. The integration doesn't create a copy of your data outside the system — it uses it only at the moment a task runs.
Code and documentation in your repository. The integration's configuration lands in a repository you control, not us.
The same team that builds AI integrations into company systems also runs the rollouts for our other automation services — so the number of new projects we take on each month is limited.
Send us which ERP or CRM you use and which AI capability you want inside it — we'll reply within a few business days with the scope of work and a firm price.
Every month AI runs next to your system instead of inside it is a month your team skips using it, because the extra step is too much friction to repeat every time.
An AI capability connected directly to your ERP or CRM via API · operates within existing roles and permissions · tested on real data before rollout · success threshold agreed before we start · data and code stay under your control.
Usually not — we work through the API your system already exposes, without touching its core configuration.
We check this during the analysis stage — if the integration isn't technically possible, we say so directly instead of promising something the system can't support.
No — the integration operates within the same roles and permissions your system's users already have.
Yes, but we start with one test capability to validate the integration before extending its scope.
Documentation and code land in your repository, so you can maintain it yourself or have us handle it as a separate service.
The AI capability runs as an added step inside a specific process, not a change to the system's core, so it doesn't affect overall performance.