AWS
Artificial Intelligence on AWS
From concept to production system
Artificial intelligence is rapidly evolving from an innovation topic into a business-critical success factor. Today, companies face the challenge of not only testing AI but also integrating it into their business processes in a sustainable, secure, and scalable manner.
PROTOS Technologie helps companies implement AI solutions based on AWS technologies, from the initial idea through to stable production operations—with a clear focus on business value, security, and scalability.
Our Perspective on AI
For PROTOS Technologie, artificial intelligence is not an end in itself. Value is created when AI solves specific business problems, streamlines processes, and improves decision-making.
We always consider AI in the context of:
- Business objectives
- Data & platform
- Architecture & integration
- Operations & governance
This approach results in solutions that are not only technologically sound but also sustainable in the long term.
Our mission is clear: AI must deliver measurable benefits. To achieve this, we combine technology, security, and business acumen.
PROTOS: Your Implementation Partner for Production-Ready AI
We see ourselves as an implementation partner for AI systems that make the leap from the experimental stage to production.
We combine cloud architecture expertise, software engineering, and operational experience to deliver AI solutions that:
- are integrated into existing system landscapes
- are scalable and highly available
- are operated securely and in compliance
- deliver measurable value
In doing so, we consistently rely on AWS-native services and best practices.
Our Process Model for AI Projects
At PROTOS, every AI project follows a structured, proven process:
1. Use Case Identification and Maturity Assessment
Together with the client, we identify suitable use cases and assess the data landscape, compliance and data security requirements, technical prerequisites, and organizational frameworks.
2. Architecture and Solution Design
We design a scalable, secure target architecture on AWS—tailored to the specific use case.
3. Prototype and Validation
Rapid prototyping enables early feedback and validation of business and technical assumptions.
4. Production Deployment
Transition to a production-ready solution with automated deployments, monitoring, and a security strategy.
5. Operation and Optimization
Stabiler Betrieb, kontinuierliche Verbesserung und Kostenoptimierung.
6. Enablement and Training
Building the customer's knowledge so that solutions can be used sustainably and further developed.
Erfolgreiche KI-Projekte entstehen dort, wo Menschen gemeinsam Klarheit schaffen. Gute Kommunikation macht Struktur erst lebbar.
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Service Portfolio
PROTOS supports companies throughout the entire lifecycle of AI solutions—from strategic planning and technical implementation to stable operation and knowledge transfer.
Technical Consulting & Architecture
We assist in the design of AI solutions based on a robust, scalable, and secure cloud architecture.
Typical services:
- Evaluation of AI use cases and technical feasibility
- Evaluation of suitable LLM models
- Selection of suitable AWS AI services and platforms
- Architectural design for scalable AI systems
- Definition of security, data protection, and governance concepts
- Creation of target architectures and technical roadmaps
The goal is an architecture that meets both current requirements and future scalability needs.
Implementation & Deployment
We implement AI solutions as integrated components of the existing IT landscape—from data connectivity to the user interface.
Typical Services:
- Building data pipelines and data access layers
- Data modeling and standardization
- Implementation of AI and generative AI applications
- Integration into business applications and processes
- Automated build and deployment pipelines
- Validation through testing, monitoring, and logging
The focus is on production-ready, maintainable solutions.
Secure & Efficient Operation
After deployment, we ensure stable, secure, and cost-efficient operation of the AI systems.
Typical services:
- Monitoring of applications, models, and data flows
- Incident and problem management
- Performance and cost optimization
- Security monitoring and regular reviews
- Support for further development and scaling
This ensures the solution remains high-performing over the long term.
Enablement & Training
We empower teams to use and further develop AI solutions sustainably.
Typical services:
- Training for business units, IT, and operations
- Architecture and developer workshops
- Documentation and best practices
- Ongoing coaching throughout the project
The goal is to build expertise within the company and reduce dependencies.
AWS AI Technologies & Platforms
PROTOS relies on AWS-native AI services and platforms to implement scalable, secure, and high-performance AI solutions. Technologies are selected on a case-by-case basis and are guided by requirements such as performance, security, cost, and integrability.
Foundation Models & Generative AI
For generative AI applications, we use services such as Amazon Bedrock, Kiro, and Amazon SageMaker (including JumpStart) to access various foundation models and customize them as needed.
Typical use cases:
- Text generation and summarization
- Question-answering systems
- Code assistance
- Classification and extraction
Why AWS:
- Choice of various models depending on requirements
- Data remains in the customer’s AWS account and the selected region
- Integrated security and governance features
Agent-Based AI & Orchestration
For agent-based solutions, we rely on AWS services in combination with suitable frameworks and runtime environments, such as Amazon Bedrock Agents, AWS Lambda, Amazon ECS, Amazon EKS, or AWS Step Functions.
Typical use cases:
- Automated process chains
- Decision support
- Integration of multiple systems
Why AWS:
- Scalable, managed runtime environments
- Tight integration with the AWS ecosystem
- Security and identity management via AWS IAM
Data & Vector Storage
For structured data, documents, and vector storage, we use, for example:
- Amazon S3
- Amazon Aurora / RDS
- Amazon DynamoDB
- Amazon OpenSearch (including vector search)
- Amazon Neptune
- Amazon Timestream
Typical use cases:
- Document storage
- Semantic search
- RAG architectures
MLOps / LLMOps
For the operation and further development of models and prompts, we use, among others:
- Amazon Bedrock
- Amazon Kiro
- Amazon SageMaker
- AWS CodePipeline / CodeBuild
- Amazon Event Hub
- Amazon CloudWatch Insights and Amazon CloudWatch Logs
Typical use cases:
- Automated training and deployment processes
- Versioning
- Monitoring of quality, performance, and costs
Security & Governance Services
Security-related services include:
- AWS IAM
- AWS KMS
- AWS CloudTrail
- AWS Config
- Amazon GuardDuty
- Bedrock Guardrails
- AWS Security Hub
Typical use cases:
- Access control
- Encryption
- Auditing
- Content safety
Selecting and combining the right AWS services is critical to the long-term success of AI solutions. Rather than viewing individual technologies in isolation, at PROTOS we design holistic architectures in which models, data, applications, and operational processes work together seamlessly. This results in solutions that are not only powerful but can also be operated, scaled, and further developed securely.
Our guiding principle is this: technological excellence only realizes its full value when it is aligned with clear security, data protection, and governance principles.
AWS offers a robust AI ecosystem. We leverage it to create secure, scalable, and maintainable solutions.
Secure & Responsible AI on AWS
The use of artificial intelligence brings with it specific requirements regarding security, data protection, and governance. PROTOS embeds these aspects into every AI architecture and every project from the very beginning.
Data Protection and Data Isolation
We ensure that customer data remains protected and is processed exclusively within the defined system boundaries. Typical measures include the separation of data, models, and applications; the encryption of data at rest and in transit; and the use of customer-specific keys.
Identity and Access Management
Access to AI systems is clearly regulated and managed in a transparent manner. Typical measures include role-based access policies, the principle of least privilege, and centralized identity management.
Guardrails and Content Safety
For generative AI solutions, we implement safeguards to prevent unwanted or problematic content. Typical measures include content filters and guidelines, moderation and validation of outputs, optional human approval for critical processes, and the prevention of AI hallucinations through the use of precise prompt engineering (clear instructions, breaking down complex tasks), control mechanisms to ensure that only verified data (RAG) is fed to the AI, and “human-in-the-loop” checks are an integral part of the overall process.
Principles of Responsible AI
PROTOS adheres to recognized principles for responsible AI. These include transparency in the use of AI, explainability of decisions, reduction of bias, and documented assumptions and limitations.
Compliance and Governance
We assist with the implementation of regulatory requirements and the establishment of governance structures. Typical measures include logging and auditability, verifiable security controls, and support for compliance requirements (e.g., data protection, industry-specific regulations).
Security and the responsible use of AI are not optional extras, but fundamental prerequisites for productive deployment. By combining AWS-native security mechanisms with clearly defined PROTOS principles, we lay the groundwork for AI solutions that businesses can trust in the long term.
How AI Creates Sustainable Business Value
Artificial intelligence delivers its strategic value when it is directly aligned with business objectives. PROTOS helps companies view AI not as an isolated technology, but as a lever for sustainable business development.
Faster, Informed Decisions
Companies today face an ever-growing flood of data. AI helps structure relevant information more quickly, identify correlations, and improve the basis for decision-making. This leads to shorter decision-making cycles and greater planning certainty.
New digital products and services
AI opens up the possibility of intelligently expanding existing offerings or developing entirely new services. Companies can thus create additional customer value and tap into new revenue potential.
Scalable Efficiency Gains
Through the targeted use of AI, processes can not only be automated but also continuously optimized. This frees up resources for value-adding activities and supports sustainable growth.
Technological Future-Proofing
AI solutions on a scalable cloud platform enable companies to respond flexibly to new requirements. The IT architecture remains adaptable without having to be constantly rebuilt.
Strategic success with AI does not come from individual projects, but from a clear vision and a scalable platform. PROTOS supports companies in laying this foundation.
AI That Works for Employees in Everyday Life
In addition to strategic advantages, the benefits of AI are particularly evident in day-to-day operations. PROTOS places great emphasis on implementing AI solutions in a way that ensures they can be operated stably, controllably, and cost-effectively.
Reduced Manual Effort
AI helps automate repetitive tasks and deliver information more quickly. This relieves employees of unnecessary burdens, allowing them to focus more on value-adding activities.
Stable and Reliable Operation
Production-ready AI systems require clear operational processes. PROTOS establishes monitoring, logging, and clear responsibilities to ensure reliable operation.
Scalability without friction losses
Solutions are designed to scale with increasing demands—without fundamental architectural changes or costly modifications.
Transparency regarding costs and usage
Through appropriate monitoring and reporting mechanisms, companies maintain an overview of the usage, performance, and costs of their AI solutions.
Continuous Improvement
AI systems are not viewed as static solutions. PROTOS helps you regularly review and refine models, prompts, and processes.
Operational excellence is achieved through clear structures, automation, and continuous optimization. This makes AI a reliable part of day-to-day operations.
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Nicky Lippold· Marketing & Sales
