Written permission model
Before implementation, we document which data sources the system may read, which actions it may prepare and where human approval is mandatory. This becomes the basis for IT review, data protection assessment and acceptance.
AI Process Integration
Connect AI to your business process — with clear permissions
AI is integrated where it can relieve a specific workflow, with a written permission model, approval stages and complete logging.
The problem
There is a gap between an AI tool and a business process
Many companies have experimented with AI as a chat tool, an individual licence or a departmental trial. The actual business process usually remains unchanged: people still transfer, review and forward data manually because nobody wants to give an AI system unrestricted access.
That caution is justified. An AI system writing unchecked information into a CRM, order system or document repository creates real risk: incorrect records, unclear accountability and no reliable audit trail. Organisations handling sensitive data cannot afford uncontrolled automation.
The result is a standstill: the potential value is visible, but there is no safe route into production because control, data protection and ownership remain unresolved.
The solution
Technical boundaries instead of blind trust
I integrate AI so that every action is defined, enabled and logged in advance. If an action has not been enabled, the system cannot perform it — that is architecture, not policy.
Controlled interfaces
Existing systems are connected through defined interfaces using minimal permissions. Critical actions such as sending or saving are prepared as drafts or review items, never completed immediately.
Complete logging
Every step is recorded with its input, action, timestamp and rationale. You can demonstrate what the system did and why during internal reviews or investigations.
EU data location by design
Processing is planned so that data does not leave the EU, either on-premise or in an EU cloud. Data flows and providers are assessed, documented and agreed for each project.
Process
From analysis to supervised operations
Introductory call
Initial discussion of the process, data categories and protection needs, without obligation.
Analysis
Assessment of value, risks, feasibility and initial legal context under GDPR principles and the EU AI Act.
Design
Permissions, boundaries, approval stages and data location are documented.
Implementation
The system is built and tested with test data, without access to production.
Acceptance
Your responsible teams review test cases, logs and safeguards before go-live.
Operations
Supervised production use with documented changes and optional ongoing support.
Illustrative scenario
What a typical project might look like
A company with several dozen employees handles orders across multiple systems. Enquiries arrive by email, data is copied manually into an ERP system and follow-up questions sit in individual inboxes. Management wants a faster process, but the order data contains personal and contractual information, so uncontrolled automation is not acceptable.
A typical first step would be one clearly bounded sub-process, such as transferring enquiry data into a review screen. The AI reads defined inputs, structures the information and presents it for confirmation; data reaches the ERP only after human approval. Every run is logged. Only once that step is stable is any extension considered.
FAQ
Common questions about process integration
What happens if the AI makes a mistake?
AI errors cannot be ruled out, which is why the process is designed to keep them from having immediate consequences. Critical actions are prepared, not completed. A faulty draft can be corrected or rejected during human review, while the log makes the case traceable so the rule can be improved.
Do we need to rebuild our IT?
No. The integration connects to existing systems through defined interfaces. Required access is documented and agreed with your IT team, and only permissions needed for the specific process are configured.
How long does a project take?
That depends on scope. A clearly bounded first process can often be designed, implemented and tested within a few weeks. A reliable estimate follows the analysis, once the process and required access are understood.
Can our team operate the system later?
Yes. The permission model, data flows, rules and operating documentation are included in the handover so your IT team can take over. The solution is not designed to create artificial provider dependency.
Is it GDPR-compliant?
The implementation is built in line with GDPR principles, including data minimisation, documented data flows and EU data location by design. Whether the specific solution meets all applicable requirements is assessed per project and documented before implementation. I deliberately do not give blanket guarantees without reviewing the individual case.
Next step
Which process should be integrated?
Briefly describe the workflow and the data involved for a candid initial assessment. You can also book a call directly.