Secure AI implementation: AI that works, inside your own environment.
AI only becomes interesting when it takes work off your hands, reduces errors or enables better decisions. And it only becomes responsible when your business data, customer data and intellectual property stay inside your own environment while doing so. Qteco does both: policy and governance, Copilot readiness, and custom-built copilots, agents and integrations.
We do not start with technology, but with the question where your organisation loses time, knowledge or control, and with the question which AI tools are already in use without anyone knowing. Since the European AI Act and the warnings of the Dutch Data Protection Authority, that is no longer an IT topic but a board-level question.
Three reasons to arrange AI now instead of tolerating it.
AI tools are already inside: employees write, summarise and program with them, often in free versions outside the organisation’s view. Banning does not work and costs you the head start. Arranging it does.
The AI Act applies
Since 2 February 2025 certain applications are prohibited and employees must be AI-literate; since 2 August 2026 the transparency duty applies, for example for a chatbot on your website. Even if you only use AI tools.
Data breaches through chatbots
The Dutch Data Protection Authority received dozens of reports in 2024 and 2025 of sensitive information shared through AI chatbots at work, and sees the number growing. Free versions are particularly risky.
Copilot finds what is shared too widely
Microsoft 365 Copilot respects existing permissions. If personnel files or contracts are open to "everyone in the organisation", Copilot finds them too. Cleaning up permissions comes before the licence.
From policy to working solution, in one hand.
No loose experiments, but AI that fits your processes and systems, designed to be used daily and to demonstrably save time, on a foundation the regulator and your customers can check.
AI policy and governance
An inventory of all AI use, including shadow AI, an AI usage policy employees understand, a data classification that says what may and may not go into AI, and one accountable person. Including the AI literacy the AI Act requires.
Copilot readiness
Clean up permissions and oversharing in SharePoint, Teams and OneDrive, label sensitive data, assign licences and guide a pilot group. That way Microsoft 365 Copilot saves time without surfacing the wrong documents.
Copilots and knowledge assistants in your own tenant
Smart assistants that help employees with current knowledge, draft documents and answer questions, directly in the tools your team already uses. Your data is not used to train models and does not leave your environment.
Workflow automation and AI agents
Let recurring, manual steps run automatically, from intake to completion, and agents that perform tasks independently within clear boundaries: processing requests, updating statuses, taking over routine work. Under your control.
Integrations and the Qteco MCP server
AI that talks to your CRM, ERP, ticketing system and document storage, connected to your existing landscape. Through the Qteco MCP server (Model Context Protocol), AI assistants such as Claude or Copilot get secure access to tickets, assets and monitoring, with OAuth and granular permissions.
Logging, permissions and monitoring
Who may do what, and what exactly happens? Every AI application gets exactly the data it needs, no more, with full logging and verifiable policy. That makes AI use demonstrable, towards the regulator and customers as well.
Free chatbot or AI inside your tenant: the difference.
The tools look alike; the terms do not. The difference lies in where your data goes, who can check the output and what you can demonstrate.
From inventory to working solution, in six steps.
We do not start with technology, but with your process and your data. That way we build AI that starts small, shows value quickly and grows securely.
Inventory and policy
Which AI is already in use, by whom, with which data? Through the firewall and Microsoft Defender for Cloud Apps we see which AI services are accessed. Then policy, data classification and one accountable person.
Problem and proof of value
Where does your organisation lose time, knowledge or control? A compact design and a working example on your own data, so the value is measurable before you invest more broadly.
Data and permissions in order
Clean up oversharing, label sensitive data, arrange processing agreements and licences. The step most organisations skip and pay for later.
Connect securely and roll out
Integrate with your systems inside a protected environment, with clear permissions and logging. Put it to use where the team works, with brief instruction and the training the AI Act requires.
Measure and adjust
We track time saved, quality and usage, and improve based on real results, not assumptions.
Management and further development
Continuous management, updates and expansion. AI that grows securely with your organisation, your processes and the law.
Frequently asked questions about secure AI implementation.
What is AI governance and how does an SME get started?
AI governance is the policy and control over which AI is used, with which data and under whose responsibility. Start small: inventory which tools are already in use, designate approved tools with business licences, record on one page what may and may not go into AI, and appoint one accountable person. Training and logging follow.
What is shadow AI and how do I prevent it?
Shadow AI is AI that employees use on their own initiative, outside the organisation’s view and control, often in free versions. You do not prevent it with a ban but with a better alternative: approved tools inside your own environment, clear rules and visibility of network traffic to AI services.
Is it safe to use Microsoft Copilot with business data?
Yes, provided the basics are right. Copilot works inside your own tenant, does not use your data to train models and respects the existing permissions on files. That last point is exactly the condition: if documents are shared too widely, Copilot finds them too. Cleaning up permissions and labelling sensitive data therefore come before the licence.
May I use ChatGPT with customer data under the GDPR?
Not in a free or personal version: sharing personal data with an external party without agreements is a data breach. With a business licence, a data processing agreement, a data classification and where necessary a DPIA it can be done, within the agreed limits. For most organisations an assistant inside their own Microsoft 365 environment is the simpler route.
How do I prepare my data for Copilot?
In three steps: map which sites and folders are open to "everyone" and close them, label sensitive documents with Microsoft Purview so Copilot does not summarise or share them, and clean up outdated data. Then a pilot with a small group, measuring time saved and errors found, and only then the broad rollout.
What does a Copilot implementation cost for an SME?
The Microsoft 365 Copilot licence costs around 30 euros per user per month on top of your Microsoft 365 subscription. The implementation, that is getting permissions and data in order, policy, a pilot and training, is quoted after a readiness check as a fixed project fee, depending on the size and state of your environment. A good readiness check is often valuable on its own, because it exposes oversharing and licence waste.
AI works best on a solid foundation.
Permissions, security and data location determine whether AI can be secure. These services lay that foundation, managed by the same team.
Background in the news: AI in the workplace: opportunity and risk and what the AI Act asks of your board.
Where does your organisation lose time, and which AI is already inside?
In a short call we explore where AI delivers the most value for you and what needs to be arranged first. Practical, secure and without obligations.