Service
AI implementation for business
We implement AI where it genuinely saves time, and we do it securely. Copilot and assistants with control over data, clear rules and regulatory compliance.
- ISO/IEC 27001
- 3000+ workstations
- Since 2017
AI in a company is not a toy, but a tool that can speed up work or generate a risk of a data leak. We help implement it sensibly: with policies, access control and compliance with the AI Act and GDPR.
What AI implementation covers
Assistants where they genuinely shorten work, with control over data and regulatory compliance.
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Deployment of AI assistants
Microsoft Copilot and assistants embedded in the tools the company already uses. Value where the work is.
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Data control
We define which data AI has access to and how it protects it. Permissions and classification before the first prompt runs.
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AI policy
Rules for safe use of AI for employees. What is allowed, what is not and why, in plain language.
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Compliance with the AI Act and GDPR
Classification of use cases and oversight compliant with the AI Act and GDPR. AI under control, not in a grey area.
What is AI implementation for business?
AI implementation for business is the deliberate introduction of artificial intelligence tools, such as Microsoft Copilot and AI assistants, into the daily work of the team in places where they genuinely save time. Unlike ad hoc use of public chatbots, it means full control over data, clear rules and regulatory compliance. For businesses in Warsaw and across Poland we run it so that AI delivers an advantage rather than opening a gateway to a data leak.
AI implementation for business covers choosing a real use case, a pilot on a single process, putting access and data classification in order before the first prompt, and embedding assistants in the tools the company already uses. On top of that comes an AI usage policy for employees and oversight compliant with the AI Act and GDPR, so that the use of artificial intelligence is documented and controlled.
The biggest risk of AI is not the technology, but the data
An AI assistant is only as secure as the access to data we give it. If permissions are a mess in the company and files are shared too widely, the AI tool simply makes that mess visible, offering an employee information they should not see. That is not the fault of AI, but of earlier disorder.
That is why the order is clear with us: first we put access and data classification in order, and only then do we let the assistant into it. On top of that comes a usage policy and oversight compliant with the AI Act and GDPR. Then AI speeds up work instead of opening a new front of risk.
How we implement AI
Starting from a pilot on a single process, with security first.
- pilotstart from a real use case
- data controlpermissions before deployment
- AI policyrules for the whole team
- complianceAI Act and GDPR as standard
- We start from a use case. We look for places where AI genuinely shortens work. A pilot on a specific process, not implementation for its own sake.
- Data first, then AI. We put access and data classification in order before we give the assistant access to it. Security comes first.
- Rules and training. We implement an AI policy and train the team. People know how to use the tools without creating risks.
How we bill
We quote this service individually after a short scope analysis.
AI consultation
Prefer to talk first?
Book a free online consultation and pick a time that suits you. If you would rather write, use the contact form or drop us an email. You choose the channel, we come back with concrete next steps.
Frequently asked questions
Is using AI safe for our data?
It can be, if we implement it deliberately. First we put access and data classification in order, define what AI is entitled to, and implement a policy. Then the assistant helps instead of creating a risk of a leak.
Where should AI implementation start?
With a specific use case where AI genuinely shortens work. We run a pilot on one process, measure the effect and only then scale, instead of implementing everything at once.
What about the AI Act and GDPR?
We classify AI use cases by risk and set up oversight compliant with the AI Act and GDPR. As a result the use of AI is documented and controlled, not in a grey area.
Do we need Microsoft 365 to deploy Copilot?
Copilot works best in the Microsoft 365 ecosystem, using your data and permissions. If you already use M365, deployment is natural, and we will take care of controlling access to the data.
Let us talk about your project
Answer 2 questions about your company. You will see a simple estimate right away, and we will prepare a full proposal within 24 business hours.
- 2 minutes, no commitment
- You talk to an engineer, not a salesperson
- No spam, one contact about your quote