Knowledgeworker Create

The implementation of Knowledgeworker Create is designed to be fast, intuitive, and cloud-based, allowing users to begin creating eLearning content almost immediately. Here's a step-by-step overview of the typical process:

1. Initial Setup and Access
   After purchasing a license or starting a free trial, users receive access credentials to the cloud-based platform. No installation is required, and the software is accessible via browser.

2. User Onboarding and Training
   Knowledgeworker provides onboarding support, including tutorials, documentation, and optional live training sessions. This phase typically takes a few days depending on the user's familiarity with eLearning tools.

3. Workspace Configuration
   Organizations can configure user roles, permissions, and domains. This includes setting up task management, review workflows, and translation settings for collaborative work.

4. Content Import or Creation
   Users can start by importing existing documents (PDFs, PowerPoints) or creating new content using the drag-and-drop editor. The AI assistant (KAI) can assist in generating outlines, text, images, and quizzes.

5. Customization and Branding
   Global design settings allow users to apply branding elements (colors, fonts, logos) across all courses. Templates can be customized to match organizational standards.

6. Accessibility and Compliance Checks
   Courses are reviewed for accessibility and GDPR compliance, ensuring they meet legal and inclusion standards.

7. Testing and Review
   Internal reviewers can provide feedback directly within the platform. The integrated review management system streamlines this process.

8. Export and LMS Integration
   Courses can be exported in SCORM, xAPI, or web formats and integrated into existing Learning Management Systems (LMS). Custom configurations for learning data collection can be applied during export.

9. Go-Live and Monitoring
   Once published, courses can be monitored for learner engagement and performance using built-in analytics tools.

Typical Duration:
For small teams or individual users, implementation can be completed within 1–2 weeks. For larger organizations with complex workflows, it may take 3–4 weeks, especially if custom configurations or integrations are required.

Knowledgeworker Create offers extensive customization options to meet diverse business requirements. Here are key data points:

• Design Customization:
  Users can apply global design settings across all courses, ensuring consistent branding. Templates are flexible and can be tailored to match corporate identity.

• Content Personalization:
  The AI assistant (KAI) allows users to define tone, audience, and learning objectives, generating content that aligns with specific business goals.

• Learning Data Configuration:
  Organizations can customize how learning data is collected and reported. This includes SCORM/xAPI configurations, progress tracking, and completion criteria.

• Role and Rights Management:
  Businesses can define user roles and access levels, ensuring secure collaboration across departments or external partners.

• Translation and Localization:
  The platform supports over 30 languages and offers centralized translation management. Custom workflows can be set up for multilingual teams.

• Accessibility Standards:
  Courses can be customized to meet specific accessibility requirements, including WCAG compliance, making them suitable for public sector or regulated industries.

• Custom Export Formats:
  During export, users can select or request custom configurations for LMS compatibility, ensuring seamless integration with internal systems.

• Media and Asset Management:
  Businesses can manage and reuse media assets across multiple courses, streamlining content creation and maintaining consistency.

• Consulting and Support:
  Chemmedia AG offers tailored consulting services to help organizations implement custom workflows, integrations, and training programs

Knowledgeworker Create follows a transparent pricing model with a flat annual fee of €2,100 per named user. This fee includes:

• Full access to the platform’s features
• Integrated AI tools (KAI)
• Course creation and management tools
• Multilingual and accessibility support

There are no separate setup or implementation fees. The platform is cloud-based, so there’s no need for local installation or infrastructure costs.

Additionally, unlimited support and implementation assistance are included in the standard license, which helps reduce the total cost of ownership (TCO). This means users don’t incur extra charges for onboarding, training, or ongoing technical support.

Knowledgeworker Create provides a comprehensive support and training ecosystem to ensure users can quickly become proficient:

• Free 30-Day Trial: New users can explore the platform with full functionality before committing

• Live Demos: Personalized product demonstrations are available to help teams understand the platform’s capabilities

• Onboarding Assistance: Guided onboarding is included with the license, helping users set up their workspace and workflows

• Documentation and Tutorials: Extensive online resources, including how-to guides and video tutorials, are available for self-paced learning.

• Integrated Help Features: Contextual help and tooltips are embedded within the platform for real-time guidance.

• Unlimited Support: Users have access to ongoing technical support via email or phone, included in the license

• Consulting Services: For organizations with complex needs, custom consulting and training packages are available upon request.

This multi-tiered support structure ensures that both individual users and large teams can adopt the platform efficiently.

Knowledgeworker Create is built with a strong focus on data security and privacy, particularly for organizations operating in regulated environments:

• GDPR Compliance: The platform is fully compliant with the EU’s General Data Protection Regulation, ensuring lawful and transparent data handling

• Cloud-Based Infrastructure: Hosted in secure, professionally managed data centers with high availability and redundancy.

• Data Ownership and Control: Users retain full control over their data. Any data processed by third-party AI services is not used for training those models

• Role-Based Access Control: Organizations can define user roles and permissions to ensure secure collaboration and prevent unauthorized access

• Secure Collaboration: All collaboration, review, and translation workflows are managed within the platform, reducing the risk of data leaks through external tools.

• Regular Updates and Patches: The platform is continuously updated to address security vulnerabilities and maintain compliance with evolving standards.

These measures make Knowledgeworker Create a secure and reliable choice for businesses prioritizing data protection.

Knowledgeworker Create is a cloud-based SaaS solution, which means updates are rolled out automatically and regularly without requiring user intervention. These updates typically include:

• Feature enhancements
• Security patches
• Performance improvements
• AI model upgrades
• Accessibility and compliance updates

Knowledgeworker Create adheres to strict GDPR compliance, which includes clear policies on data ownership and portability:

• Full Data Ownership: Users retain complete ownership of all content and data created within the platform. This includes course materials, media assets, learner data, and analytics.

• Data Portability: Content can be exported in standard formats such as SCORM, xAPI, or HTML5, making it easy to migrate to other Learning Management Systems (LMS) or platforms if needed.

• No AI Training on User Data: Any data processed by the AI assistant (KAI) is not used to train third-party models. This ensures privacy and intellectual property protection

• Secure Export Options: Users can request custom configurations for exporting learning data, ensuring compatibility with internal systems

These policies make the platform a secure and flexible choice for organizations concerned about data control and future scalability.

Knowledgeworker Create offers a named-user licensing model, starting at €2,100 per user per year. This model is inherently scalable:

• Scaling Up: Organizations can add more users at any time by purchasing additional licenses. Each new user gains full access to the platform’s features, including AI tools, collaboration workflows, and multilingual support.

• Scaling Down: While the platform does not publicly detail downgrade policies, most SaaS models allow for license adjustments at the end of the billing cycle. It’s best to confirm this directly with the sales team for contract-specific terms.

• Flexible Licensing: The platform is suitable for both small teams and large enterprises, with optional consulting and support services available for complex deployments

• Enterprise Customization: For large-scale implementations, Knowledgeworker offers tailored solutions, including custom integrations, training, and support packages.

This flexibility ensures that organizations can adapt their usage of Knowledgeworker Create as their training needs evolve.

Knowledgeworker Create is designed to meet several key compliance standards, making it suitable for use in regulated industries and public sector environments:

• GDPR (General Data Protection Regulation): The platform is fully compliant with EU data protection laws. It ensures lawful data processing, user consent management, and secure data storage.

• WCAG (Web Content Accessibility Guidelines): Courses created with Knowledgeworker Create can be made barrier-free, supporting accessibility for users with disabilities.

• SCORM and xAPI Compliance: The platform supports standard eLearning formats, ensuring compatibility with Learning Management Systems and enabling detailed learning analytics.

• Data Security Protocols: Hosted in secure cloud environments, the platform uses role-based access control, encrypted data transmission, and regular security updates to protect user data.

• No AI Data Training: Any data processed by the AI assistant (KAI) is not used to train external models, ensuring privacy and intellectual property protection.

These compliance measures make Knowledgeworker Create a reliable solution for organizations that prioritize data protection, accessibility, and regulatory adherence.