IT TEAM's end-to-end AI service
IT TEAM brings artificial intelligence into your working processes. We connect it to the systems you already use and take it all the way to everyday use. Under control, with every access logged, and with someone who helps when things get stuck.
What AI makes possible
We connect the data infrastructure your company already has. A better overview of the data and the links between them lets you optimise the business.
You replace nothing. ERP, CRM, documents, e-mail and databases stay as they are. We only add the connections and one place where you can see everything.
The panel is an example; the figures are made up.
You decide what the AI may do. We map the process steps together with you and the AI keeps to the agreed path; where an action has an external effect, a person approves it before it goes out.
Permissions are separated by role and every data access is logged. Before go-live we run penetration and intrusion tests, following the same procedure as for the critical systems IT TEAM has protected for years.
We have worked in IT since 2006, from networks and security to development and data. We have brought artificial intelligence into our own company, in every area of work, and build our own products with it.
Five departments, five questions you solve today by searching through programs and spreadsheets. The answer comes from your data, with its source named.
A question in plain language, an answer from the stock and sales data in your ERP.
Which items are below minimum stock, and which of those are still selling?
Below minimum stock: 96 items, 31 of them active in the last 30 days. Suggested order for those 31: €12,300. Source: ERP, stock and sales.
The exchange is an example; the figures are made up.
The enquiry and its attachments become a draft quote at your prices and in your format. You send it.
Prepare a quote from enquiry 2418 and the attached list.
14 of 14 items recognised, prices from the 2026 price list. Draft QUO-2026-0812 is ready in your template; two items are flagged for review.
The exchange is an example; the figures are made up.
Revenue, open orders and delays in one place, without searching through programs.
What needs attention this week?
4 overdue receivables totalling €86,400, 7 delivery delays with two suppliers, 2 contracts expiring within 90 days. Source: ERP, CRM and bank, refreshed today.
The exchange is an example; the figures are made up.
An overview of contracts, deadlines and obligations. Every item names its source and the place in the document.
Which contracts expire in the next 90 days, and which renew automatically?
38 of 38 contracts read. 4 expire within 90 days; two of them renew automatically unless cancelled 30 days in advance. Each one cites the clause and the page.
The exchange is an example; the figures are made up.
An internal tool or portal, from design to publication behind a secured entry point. We also take over a solution you built yourself with AI and publish it safely.
We need a portal for orders, stock and suppliers, with role-based sign-in.
Design in the first week, a first usable version in the test environment within a few weeks. Published behind a secured entry point, with sign-in, role permissions and an access log.
The exchange is an example; the figures are made up.
Five milestones companies pass as they adopt artificial intelligence. Once you recognise yours, you know where we can help you move on.
You read about AI, but nothing is running at your company yet.
We review your processes and data and tell you where AI pays off first.
Individuals use AI in the browser, each in their own way and without access to your data.
We connect AI to your systems so it answers from your data, and set up the permissions.
A colleague built it and it works well, but it only runs on their computer.
We move the solution from one person to the company: we publish it safely, set up sign-in and permissions and open it to everyone who needs it.
AI is in use, but you do not know whether it is secure or who accesses what.
We check the security of the AI itself and of the solutions built with it: code review, penetration and intrusion tests and tidy access rights.
The solution is in use, but nobody looks after its maintenance.
We take over maintenance and keep it running smoothly: monitoring, tests with every change and a monthly report.
The introductory call takes 30 minutes and commits you to nothing. We tell you where AI pays off most at your company and what needs to be in place for it.
This is how we work together, from the first conversation to a solution in everyday use. You use the first solutions along the way.
We review your processes and data and say where to bring in AI.
Where the AI plugs in, which permissions it gets and what counts as success.
We set up separate test and production environments and one secured entry point for all access.
We connect the AI to ERP, CRM, documents and e-mail. You decide who has access to which data.
We build the solution with its limits written down and test it on a test set with known answers.
A limited group uses it, we measure the effects and train people by role.
Roll-out into everyday use, then expansion to further processes.
Monitoring, tests with every change, a monthly review and new use cases.
No investment in equipment: we run the environment on our side and you can rent the hardware. Our SOC and NOC monitor it 24/7 and our team maintains it. Separate test and production environments, every access logged.
For companies with their own IT environment and a need for full control. We deploy in your data centre and your security policies apply from day one. We run it, or hand it over to your team with documentation.
For companies that process some data in-house and some in the cloud. Sensitive data is processed locally at your site; only what you allow travels to the cloud. The boundary is written in the configuration and verifiable in the logs.
The most common first step. A review of processes and data sources, connections to your systems with precise permissions, answers that cite their source with every access logged. Scope and price are set by the assessment.
More about the service →When you need something of your own: an assistant with a view of your data, an AI agent for repetitive work, a portal or internal tool from design to publication, or the takeover and publication of a solution you built yourself. We build our own products Imprion, FabriqAI and ConnectiCom the same way.
More about the service →Even without your own IT team, at your site or ours: separate test and production environments, one secured entry point for all access, penetration and intrusion tests before go-live, monitoring, updates and a monthly report.
More about the service →Point-of-sale and hospitality solutions developed and maintained by IT TEAM. Imprion has a built-in MCP interface, so AI assistants and agents connect directly to the till and its data.
Our product for manufacturing companies: artificial intelligence in production planning, execution and monitoring.
IT TEAM's telecommunications solutions: from network management to services for operators.
Three projects from the last year where we brought artificial intelligence into everyday work. More are on the References page.
The whole path: we say where to bring AI into your company, connect it to the systems you already use, build the solution, test it, roll it out into everyday use and keep it running. We take on the whole thing or only the part you are missing.
For sole traders and small, medium and large companies, in Slovenia and abroad, at every stage: those just starting; those who have built a solution that now needs safe publication; those who got stuck along the way; and teams that need specific expertise.
IT TEAM d.o.o. from Maribor, which has developed software, built networks and infrastructure and looked after cybersecurity since 2006: more than 50 experts, more than 750 clients, ISO 9001, ISO 27001 and ISO 22301 certificates and its own security operations centre. We build our own products Imprion, FabriqAI and ConnectiCom with the same approach. We put AI on the same foundations as critical business systems, so you have one partner and one contract.
We set up and run everything on IT TEAM infrastructure, which you can also rent. Our SOC and NOC monitor it and you get a named contact and a monthly report.
No. We connect to the systems you already use: ERP, CRM, document system, e-mail, databases. We build on your existing infrastructure, with no migrations and no interruption to work.
A project owner, the involvement of process owners in the assessment and first use and, from the second step on, access to the agreed systems and approval of permissions. The first step can run on our infrastructure, so the start does not depend on your access.
Yes, and it is a common path. As experts we can take you to the point from which you continue on your own, with documentation and knowledge that stays with you. Or we take on the whole thing and stay with you as a full partner. The decision is yours and you can change it at any time.
Simpler solutions, such as questions over documents, reports and summaries, are running within days. The assessment takes two to three weeks. The full roll-out proceeds in steps, and you use the first solutions while it is under way.
Scope and price are set after the assessment; we prepare the quote after the introductory call. Payment follows completed and approved steps, with no advance.
With business editions, model providers (for example Anthropic with Claude for Work and the API) do not use customer data to train models under their business terms. Consumer editions differ, so in companies we set up business access and check the terms before signing. For data that must not go to the cloud, we use local models.
Your choice: on your infrastructure, on IT TEAM infrastructure (rental is possible) or hybrid. In a hybrid setup, sensitive data is processed by a local model and local OCR. Only what you explicitly allow goes to the cloud, and the boundary is written in the configuration and verifiable in the logs.
The solution answers from your data, not from the model's memory: access to the sources, a document index with a mandatory citation of the source and the place in the document, a test set with known correct answers and a minimum accuracy below which the solution does not go into use. In processes with an external effect, a person approves the output before it goes out.
We set the measure before development: a test set of 50 to 200 cases, a minimum accuracy based on the risk of the process and an allowed share of human corrections. Every change to instructions, tools or model is re-tested on the same set before roll-out. In use we monitor quality on a sample, errors, response times and consumption.
Yes, it is a common way to reach us. We take the code under control, carry out a security review, set up testing and then roll it out into everyday use behind a secured entry point. The code stays yours. You develop it further yourself, together with us, or we take it over entirely.
Yes. We design the agent for a specific process. You decide what it may do on its own and where it must stop; the limits and per-tool permissions are written into the solution. It has to pass testing before roll-out, and in use we monitor and refine it.
Through connectors we build for your system. Each tool gets the minimum permissions it needs, separately for reading and writing, and every access is logged. Existing systems do not need replacing and we do not touch their data schema.
In several layers: minimum permissions per tool, separate reading and writing, written limits (value, quantity, type of case), mandatory approval before actions with an external effect, protection against instructions injected through documents and e-mail (prompt injection), monitoring of outbound traffic and an audit trail. Our SOC watches it in operation.
The cost is predictable because we measure it per task: for every process we know the average consumption and the cost per case. We reduce costs by choosing the right model for the task, caching repeated content and capping consumption at the entry point. Consumption and cost are on the monthly report.
From 2 February 2025, an adequate level of AI literacy among employees who use it at work. From 2 August 2026, transparency: users must know they are interacting with an AI system, and machine-generated content must be labelled. Under the European Commission's proposal, the requirements for high-risk systems in Annex III are expected to be postponed to December 2027. We set up the register of AI systems, the risk assessment, documented human oversight and the documentation. Status: September 2026.
The model is replaceable by design: access runs through one controlled entry point, so a swap does not require rebuilding the connectors. With every update we run the tests on the same test set and compare with the previous version. We warn you of a change in quality before users notice it. This check is part of the monthly maintenance.
MCP (Model Context Protocol) is an open standard for connecting AI to external systems and the basis on which we build the connections to your systems. In December 2025 Anthropic moved it under the Agentic AI Foundation at the Linux Foundation, and all major clients support it: Claude, ChatGPT, Microsoft Copilot, Gemini, VS Code and Cursor. The connection we build therefore stays usable even if you change the model or the tool.
Book an introductory call, no obligation. Tell us where you lose time and we will tell you where to bring in AI. In line with the EU Artificial Intelligence Act and the GDPR: we prepare the register of systems, staff training and the evidence for the regulator.