Product Development, Security and Compliance
Product development, security and compliance covers integrating AI into an organisation securely with Enterprise APIs or on-premise models, documenting the data flow and taking GDPR and KVKK requirements into account. It also includes building AI-integrated applications where needed.
Who is it for?
- Organisations handling sensitive data, such as finance, legal and healthcare
- Managers worried about employees using public AI tools without oversight
- Companies that want to build a product with AI features
How we work
The steps show a general framework; scope and duration are adapted to each organisation.
Data flow and risk analysis
We map which data goes where, who accesses it and what the risks are.
Choosing the deployment model
We compare cloud Enterprise API, private cloud and on-premise options against data sensitivity and regulatory requirements.
Setup and integration
We set up the integration with controls such as access control, logging and data masking, and build the application where needed.
Documentation and usage policy
We document the data flow diagram, acceptable use rules and points to watch under GDPR and KVKK.
Deliverables
- A data flow diagram and risk assessment
- Enterprise API or on-premise setup and integration
- A draft AI acceptable use policy
- A checklist of GDPR and KVKK considerations
- An AI-integrated web or mobile application, if needed
Frequently asked questions
Does Huaris AI issue a legal compliance certificate?
No. We design the technical architecture and documentation with regulatory requirements in mind; legal assessment and any formal compliance decision belong to your legal advisers.
Will an on-premise model be as good as a cloud API?
Quality depends on the model and the task. Open-weight models can be sufficient for many enterprise tasks, but may differ from the most advanced cloud models. We decide based on an evaluation with your own data.
Our other services
AI Strategy and Discovery
We review your existing workflows (HR, finance, customer service, operations). We map which processes AI can automate, where it can reduce cost and where it can raise efficiency.
Model Selection and Vendor-Independent Advisory
We choose the large language model (LLM) and tools that best fit your needs, budget and data policy. We are not tied to a single vendor.
Custom AI Solutions
We design RAG (Retrieval-Augmented Generation) architectures for assistants that know your own data (PDFs, emails, databases).
Team Training and Prompt Engineering
Installing the technology is not enough; people need to use it well. We teach teams to use Copilot, ChatGPT or custom assistants and to write effective prompts.
Let's talk about this service
Let us listen to your processes and goals and evaluate together whether this service fits you.
Send an email