Tool Sprawl
Every department uses its own AI tools without central governance, overview, or cost control.
AI Architecture & Enterprise AI Platform
Enterprise AI Architecture & Governance
Building a scalable AI architecture and governance structures for enterprise-wide use of Artificial Intelligence is crucial for sustainable success.
Our CTI CARE Reference Architecture (Contextual AI Reference Enterprise Architecture) provides a structured approach for integrating AI into your IT landscape.
Attention: The EU AI Act comes into force in August 2024. Companies must classify their AI systems and implement corresponding compliance measures.
Typical Challenges
Silo Solutions
Prototypes emerge in isolation, don't scale, and create no enterprise-wide synergies.
Compliance Risk
EU AI Act requires systematic risk classification and documentation of all AI systems.
Security Gaps
Prompt injection, data leaks, and missing audit trails endanger company and customer data.
CTI Core Services for AI Architecture
AI Roadmap & Strategy
Duration: 2-4 weeks
Development of a prioritized roadmap based on your corporate strategy, use case assessment, and technical feasibility.
- Prioritized AI Roadmap
- Use Case Prioritization Matrix
- Business Case Estimates
- Technology Recommendations
AI Enterprise Architecture
Duration: 4-8 weeks (Most booked)
Development of the target architecture for Enterprise AI, including technology stack, governance, and integration strategy.
- CARE Architecture Blueprint
- Technology Selection & Recommendations
- Integration Strategy
- Security Concept
- Scaling Planning
AI Governance Framework
Duration: 3-6 weeks
Establishment of policies, processes, and responsibilities for responsible AI use.
- AI Policy Documents
- RACI Matrix
- Review Processes
- Compliance Checklists
CTI CARE Reference Architecture
Our proven reference architecture for Enterprise AI with three layers:
Application Layer
AI-enabled applications and integrations: AI Copilots, intelligent workflows, chatbots, decision support systems, embedded in existing enterprise software.
Platform Layer
Central AI infrastructure and services: Model Registry, MLOps pipelines, Vector Databases, Prompt Management, central monitoring and cost management.
Foundation Layer
Data, Security, and Governance: Data Mesh/Lakehouse integration, Identity & Access Management, Audit Logging, EU AI Act Compliance, Encryption.
AI Maturity Assessment
Evaluation of your AI maturity in 6 dimensions according to the Capability Maturity Model (CMM):
- Level 1: Initial - Ad-hoc AI experiments without central governance
- Level 2: Managed - First structured projects with defined processes
- Level 3: Defined - Standardized approaches and central platform
- Level 4: Quantitatively Managed - Measurable AI value contributions and continuous optimization
- Level 5: Optimizing - Self-optimizing AI systems and continuous learning
EU AI Act Compliance
Classification of your AI systems by risk categories:
- Unacceptable Risk - Prohibited (e.g., social scoring)
- High Risk - Strict requirements (e.g., HR decisions, credit scoring)
- Limited Risk - Transparency obligations (e.g., chatbots)
- Minimal Risk - No special requirements
Typical Project Approach
- Week 1-2: Discovery - Stakeholder interviews, as-is analysis, use case collection
- Week 3-4: Assessment - Maturity evaluation, gap analysis, prioritization
- Week 5-8: Design - Architecture development, governance framework, roadmap
- Week 9-10: Validation - Stakeholder reviews, fine-tuning, documentation
- Week 11-12: Transition - Knowledge transfer, pilot planning, handover
- Ongoing: Support - Optional: Quarterly reviews, policy updates, retainer
Contact Person
Prof. Dr. Oliver KochCEO & Head of AI Consulting
oliver.koch@cti-consulting.de
LinkedIn Profile