Discover AI
AI strategy workshops
Your path from vision to reality – with security, scalability, and measurable success.
Unlocking the potential of AI
Generative AI has the potential to transform business models, work processes, and entire industries. However, there is often a gap between inspiration and implementation, which is clouded by uncertainty, complexity, and a lack of transparency regarding the actual benefits.
Skaylink helps companies bridge this gap with a clear and structured approach, spanning from ideation to functional AI prototypes.
The focus is not on the technology itself, but on the business values it creates. In what ways can AI improve processes, make knowledge usable, and accelerate innovation?
We bring structure to your AI initiatives with clear methodolgoies, governance principles, and a secure, scalable cloud foundation. You will gain a solid understanding of what AI can and cannot do, and how to integrate it securely into your business.
Examples of AI use cases
Our experience with numerous projects shows that AI creates real added value when seamlessly integrated into existing processes. Discover some of our AI use cases.
Knowledge assistant for employees
Many companies struggle with knowledge that is scattered across manuals, Confluence pages, and emails. Using a RAG-based knowledge assistant, you can consolidate this information, make it searchable, and provide accurate, natural-language responses.
Customer chatbot with domain expertise
A generic chatbot is not enough. We develop domain-specific chatbots tailored to your products, services, and guidelines. Our chatbots are trained using your data, are GDPR-compliant, and can be fully traced.
Automated document analysis
Whether it’s incoming invoices, maintenance logs, or insurance applications, generative AI identifies, extracts, and structures content from unstructured documents. The result is automated workflows, quicker decision-making, and lower error rates.
Intelligent process automation
AI can independently monitor and optimize operational processes. From anomaly detection in production data to predictive maintenance and intelligent resource planning, the combination of ML models and real-time data enhances efficiency and reliability.
Benefits:
- Quick access to corporate knowledge
- Secure handling of sensitive information (e.g., through PII filters in Amazon Bedrock Guardrails)
- Integration with existing tools such as Microsoft Teams or your intranet
Benefits:
- Reduced hallucination rate in responses thanks to controlled context learning
- Traceable sources (e.g., in product or service dialogs)
- Scalable operation as a managed service with 24/7 monitoring
Benefits:
- Less manual work
- Secure handling of sensitive data
- Integration with existing ERP or CRM systems
Benefits:
- Early warning systems for failures or quality deviations
- Automatic adjustment of parameters
- Traceable decisions through explainable AI
Discover AI – step by step
Phase 1: GenAI Ideation Workshop – from challenge to idea
In the GenAI Ideation Workshop, complex business requirements are transformed into actionable AI strategies. In just 3–4 weeks, we provide clarity regarding potential, technical feasibility, and business value.
Goals:
- Identification and assessment of relevant generative AI use cases
- Alignment with business objectives and strategic priorities
- Initial risk analysis regarding data protection, security, and compliance
- Creation of a detailed use case roadmap as a basis for decision-making
Your benefits
- Fast and structured ideation with measurable results
- Validation of GenAI concepts without investment risk
- Direct access to Skaylink experts in the fields of AI, data governance, and AWS Cloud
Phase 2: Rapid prototyping – from idea to measurable added value
With rapid prototyping, we turn ideas into tangible results. In just a few weeks, we develop working AI prototypes that demonstrate the value, technical feasibility, and economic viability of your use case.
Procedure:
- Development of functional prototypes using AWS-native tools (e.g., Amazon Bedrock, AWS SageMaker, Lambda, RDS)
- Iterative testing with real data and user feedback
- Integration of responsible AI, explainable AI, and bias monitoring
- Documentation of an evidence chain from training data to decision
Phase 3: Go-live and managed services – from pilot to operation
We ensure the safe, scalable, and compliant transition of your GenAI project to operations.
- MLOps and monitoring for quality, drift, and performance
- Governance frameworks for data privacy, access control, and auditability
- Scaling strategies based on the AWS Cloud
- Managed services for continuous optimization and 24/7 operation
Your benefits
As one of Europe’s leading partners for AI strategy, cloud infrastructure, and managed services, we support companies at every stage, from ideation and model development to secure, round-the-clock operation.
Fast results
First tangible results in just a few weeks
High quality
Reliability is ensured through structured testing, governance, and monitoring.
Compliance & data protection
AI in line with GDPR and company guidelines
Traceability
Documented chain of evidence from data to decision
Efficiency & focus
Prioritization based on business value rather than technology hype
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Key facts at a glance
We’ve summarized all the facts about the AI Acceleration Program and its benefits here for you.
FAQ
The program is designed for medium-sized companies. Ideally, the workshops are conducted jointly with participants from IT and business.
The workshops are led and moderated by senior consultants from the AI team.
Contact
Interested in finding out more about our workshops?
