Your AI Partner for AI in Healthcare

The collaboration begins with a free initial consultation to discuss your specific requirements and goals. Ziya then develops a concrete project plan including:

• Analysis of your existing processes and data
• Definition of AI use cases
• Creation of a detailed schedule
• Definition of milestones and success criteria

The implementation time depends on various factors and typically ranges between 1–2 months. Thanks to the DatenLabel AI pipeline, the process can be significantly accelerated. Key influencing factors include:

• Complexity of the use case
• Availability and quality of data
• Integration requirements into existing systems
• Desired scope of functionality

The most important requirement is a willingness to embrace digital transformation. Technically, you primarily need relevant data for your use case. Ziya supports you in evaluating the data quality and, if necessary, implements processes for data collection. Special technical infrastructure is not initially required.

Data security is Ziya's top priority. Work follows German and European data protection standards (GDPR) exclusively, with multiple security measures:

• Encrypted data transmission and storage
• Hosting in EU data centers
• Strict access control and permission concepts
• Regular security audits
• Option for on-premise solutions

Costs are calculated project-specifically and depend on the scope and complexity of the solution. Ziya offers transparent pricing models and provides detailed proposals after the concept meeting. This includes information about potential funding opportunities and support with the application process.

At the start of the project, Ziya defines clear KPIs and success criteria. These can include:

• Process efficiency improvements
• Cost reduction
• Accuracy of AI predictions
• Degree of automation
• Return on Investment (ROI)

Through regular monitoring and reporting, you always have a clear overview of the project's success.

Ziya offers a comprehensive change management and training concept:

• Individual training sessions for different user groups
• Documentation and guides
• Hands-on training with the AI solution
• Ongoing support during the rollout phase
• Regular feedback sessions and optimizations

After implementation, Ziya offers continuous support and maintenance. This includes regular system upkeep, performance monitoring, updates, and optimizations of the AI models. If needed, the solution is further developed and extended with new features. The goal is a long-term partnership.