
Artificial Intelligence Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used Artificial Intelligence
Nikolaus B.
Last position:
Information Security, IS-Governance & Crossfunctional Governance at Zürich Beteiligungs-AG (Deutschland)
- Conducted security assessments for supplier qualification, business unit onboarding, and ongoing reviews of service providers and partners (Ongoing Assurance).
- Assessed technical and organizational measures (TOMs) against GDPR and information security requirements.
- Handled security reviews and approval processes in the Global Approval Navigator (OneTrust).
- Advised business units and IT on information security, security requirements, and risk-appropriate measures.
- Supported the development of SOC/SIEM processes and tools as part of the ISMS in line with ISO/IEC 27001.
- Analyzed cyber threats and coordinated security objectives and measures to address Security Findings with the SOC team.
- Monitored and assessed current security advisories and security-related metrics (KPIs).
- Reviewed, assessed risks, and approved exception requests (Security Exceptions).
- Independently analyzed and handled Security Events and supported the handling of security incidents.
- Planned and supported awareness initiatives to strengthen security awareness.
- Created, implemented, and reviewed information security policies and standards.
- Conducted protection needs analyses and gap assessments to identify security gaps and risk deviations.
- Defined and reviewed technical and organizational risk treatment measures.
- Advised on Third Party Governance with consideration of DORA, ISO/IEC 27001, ISO/IEC 27005, ISO/IEC 42001, and BCM in line with ISO 22301.
Suparni N.
Last position:
AI-based communication & marketing automation at Commtribe Ltd.
- Expansion of the competence portfolio to include AI-driven marketing & chatbot integration
- Design and development of several intelligent chatbots (Steno, UChat, ManyChat, GHL) for MeditationSoul.org and Physio Point for automated promotion of workshops, retreats, and online courses
- Experience with social media automation tools and AI content tools (e.g., ChatGPT, Gamma, HeyGen)
- Creation of automations with n8n for marketing and CRM processes (lead nurturing, event promotion, funnel flows)
- Combining creative brand communication and AI-supported automation to increase efficiency and personalization in digital marketing campaigns
Andreas S.
Last position:
Interim Manager – Transformation, Governance & IT Service Organization at BTC AG
Transformation mandate: IT operating model and governance
- Managed the operationalization of a new IT operating model for a service- and customer-oriented organization in the managed services and Microsoft 365 environment.
- Translated the organizational target vision into concrete roles, responsibilities, organizational elements, decision-making paths and collaboration principles.
- Designed and operationalized a layered model with autonomous delivery teams, supporting units and clearly defined governance functions.
- Designed governance for Service Delivery Management, People Leads, Global Service Owner (GSO), operational teams, clusters and management committees.
- Structured the transformation rollout into ramp-up, implementation, stabilization and operations, and developed kick-off, communication and feedback formats.
- Further developed PMO and office structures as well as portfolio and workforce management to create transparency on resources, risks, dependencies and decision-making needs.
- Facilitated cross-functional workshops and decision-making meetings and translated different stakeholder interests into implementable principles, rules and actions.
Interim mandate: IT service and operations management
- Took over operational responsibility for Citrix and AD/Access, including incident, escalation, transition and quality management in day-to-day operations.
- Clarified operational interfaces and clearly defined responsibilities between internal units, Service Delivery Management and external service providers.
- Conducted structured GAP analyses of existing service descriptions, prepared make-or-buy decisions and clarified roles with KPI integration.
- Managed conflicting objectives, dependencies and escalations in complex customer, operations and transformation situations.
Selected results
- The transformation target vision was translated into practically applicable roles, governance rules, organizational elements and rollout formats.
- Decision-making paths, responsibilities and interfaces between operational delivery, supporting functions and management were described transparently and bindingly.
- The foundations for self-managed teams, standardized service descriptions and reliable portfolio, resource and management transparency were established.
Methods: Operating model design, governance design, RACI, GAP analysis, stakeholder analysis, workshop facilitation, change communication, risk and escalation management, KPI and service management
Patrick L.
Last position:
Business Consultant at Self-employed
- Advising primarily mid-sized companies on growth and transformation topics
- Developing business models, positioning and strategies including implementation plans and KPI roadmaps
Jens R.
Last position:
Platform Architect & Senior Developer at Direct client, industrial measurement technology, medium-sized company
- Technical leadership across hardware, firmware, and software teams; scope: hardware/firmware team (4 people) and leadership group (5 people)
- Consolidated and documented a product family that had grown over more than 15 years and aligned it with CRA compliance — from the bare-metal I/O module to the cloud interface.
- Provided the most important customer product with the essential requirements and architecture documentation within two months — for a firmware landscape that had grown over more than 15 years. It now supports the customer’s modernization strategy.
- Established a monthly reporting line to the supervisory board and executive board within three months: nine meetings since 12/2025. The report itself is versioned and built from the CI pipeline; it is based on automatically collected activity and release data instead of assessments.
- Built a container-based CI/CD infrastructure from scratch: cross-compilation, host tests, and documentation builds in one continuous pipeline.
- Introduced declarative QA gates for DevOps and development artifacts — from the start using lefthook instead of pre-commit, executed in a dedicated container image.
Technologies used: arc42, req42, tpo42, docToolchain, PlantUML, ArchiMate, C4 model, ADR, C, C++ (GTest), CMake, Bare Metal (ARM Cortex-M3/M7), OCI containers, Jenkins, lefthook, Prometheus, Grafana, SBOM, CRA, OPC, SCADA, PLC integration, IPv6 migration, Zero Trust, Sociocracy 3.0, Cynefin
Rafael D.
Last position:
Project Lead Automation at Textile Industry
Analysis and optimization of end-to-end processes in various business areas such as sales, procurement, order processing, and logistics. Redesign of the ERP system. Identification of optimization potential, especially in areas with media discontinuities and manual activities, as well as creation of a prioritized transformation roadmap with clear business cases and implementation recommendations. Management of automation initiatives. RPA at the production site in China. Evaluation and introduction of relevant AI use cases, as well as building basic AI capabilities within the organization. Training internal project team members and supporting them throughout the transformation process to develop a culture of continuous improvement. Close collaboration with IT and external implementation partners, with reporting to senior management.
Main responsibilities and achievements:
- Analysis of business processes and design of automated processes
- Training and support for employees in China and Germany
- 20% cost savings in logistics
- Regular status reports to senior management
Armen M.
Last position:
CTO/CPO Platform & Technology at Green Mobility Holding
- Overall responsibility for platform transformation across ERP, CRM, PIM and AI-supported process automation
- ERP transformation: Introduction and migration to Microsoft Dynamics 365 Business Central
- CRM & Growth Stack: Implementation of HubSpot as the central CRM and platform for lead and marketing automation
- Product data & Commerce Enablement: Introduction of an ePIM to scale Category Management and digital Commerce processes
- AI-supported process automation: Design and introduction of agent-based AI workflows to automate processes in Business Services, Accounting, Tender Management and Marketing
- Building a scalable platform organization consisting of Product Development, DevOps, UX, Cloud Engineering and Corporate IT
- Introduction of modern product and portfolio governance (e.g. OKRs, portfolio boards, value-based roadmaps) to manage technology-driven initiatives
- Harmonization of heterogeneous system landscapes and transformation into a modular, scalable platform architecture (ERP, CRM, PIM, integrated customer journeys)
- Coaching and development of Product Owners, Tech Leads, Delivery Managers and UX teams in building a scalable product organization
Marc H.
Last position:
Own AI Product Project & AI Training at Self-employed
- Built and validated SupportPiloten, an AI-powered content operations service; won the first paying pilot customer
- Tested agentic workflows with Claude Code and Codex for analysis, research, documentation, and prototyping
- Continued developing my own AI product; training in AI governance, AI compliance, and the EU AI Act (ongoing)
Luisa J.
Last position:
Product & AI Workflow Consultant at Freelance
- Development of AI-enabled workflow concepts for marketing and product teams
- Consulting on automation, AI tool integration & process optimization
- Project management for personalized digital products (audio/AI-powered MVP)
- Tool evaluations including rollout plans, requirements mapping, and training design.
- byBianca: Digital product for personalized audio coaching — orchestrated 10+ systems, from idea to go-live in 5 months.
Burhan D.
Last position:
Enterprise Architect & Solution Architect at DB Netz AG
With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.
- Capture current architectures of existing systems as well as methodical consulting and development of target architectures
- Deepen and maintain the building plan / target IT landscape
- Implement technical architecture concepts & architecture descriptions
- Implement migration concepts for updating and further developing the platform and information systems
- Assess submitted improvement suggestions as part of the project
- Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
- Create a compatibility matrix of the components in use and compare dependencies of specific versions
- Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
- Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
- Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
- Advise the Release Train Engineer / Project Manager in identifying project risks
- Advise the System Architect Engineers in steering the implementation of the concept
- Implement the IT concept
- Document the infrastructure
Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot
Henning U.
Last position:
Senior Expert Data Governance, Master Data Quality and Data Migration at E.ON
- Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
- Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
- Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
- Operationalization of the Data Governance Framework with definition of data standards
- Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
- Training and coaching the data team in migration, data quality, and data modeling
Till Z.
Last position:
Product Owner at OPED / Mawendo
- Interim PO for a DiGA-listed digital therapy platform, ensuring compliant product development in a highly regulated SaMD environment (BfArM, BSI) while maintaining delivery pace.
- Challenge: Regulatory complexity combined with hands-on delivery responsibility and only one week of onboarding time.
- Impact: Introduced AI-assisted product development workflows with clear quality standards and reinstated regular short release cycles for faster, more precise delivery. Currently optimizing product development workflows and reducing AI-generated bloat in tickets and documentation.
- Introduced an OCR-based workflow in Langdock that automates therapy plan creation from prescription images.
Edgardo C.
Last position:
Independent Senior Software Engineer & Integration Consultant at Thinkronic
Software engineering and integration consulting for enterprise clients, with a focus on backend development, APIs, system integration, and event-driven architectures. Currently developing and evolving a recruitment and staffing platform using Elixir and RabbitMQ, including asynchronous, event-driven communication and integrations with external recruitment and staffing platforms.
Wolfgang G.
Last position:
Head of Communications at SHK Deutschland (BME SHK GmbH)
Stabilized and professionalized internal communications during a comprehensive restructuring and strengthened its role as a leadership tool. Supported the transformation program and CEO transition through communications, delivered around 50 employee updates, and further developed company-wide dialogue formats and communications for leaders. Demonstrably improved transparency, clarity and employee dialogue, as reflected in positive feedback. In parallel, developed a roadmap with the executive team and HR to build an effective Communications and Corporate Marketing organization.
Piet A.
Last position:
Founder at RubberMetrics.com
- Self-hosted table tennis equipment platform.
- Development of a custom “Racket Builder” that uses a co-evolutionary genetic algorithm to identify, evaluate, and recommend the optimal combinations of racket blades and rubbers based on physics heuristics and player data within a search space of over 4 billion combinations.
- Development of a custom fully automated web crawler to capture equipment specifications, integrating an automated pipeline for image normalization as well as data harmonization via DeepSeek.
- Cloudflare Edge Workers written in Rust to perform low-latency data searches and offload computationally intensive simulations from the main server.
- High performance and accessibility standards across a large Nuxt 4 codebase achieving 95–100/100/100 Lighthouse scores.
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 18 years)

Position duration
2.3 years (Germany: 3.1 years)

Positions per freelancer
9 (Germany: 10)

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Professional Services, Retail

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
92% (Germany: 93%)
Master's degree or higher
65% (Germany: 64%)
Doctorate
9% (Germany: 10%)

Certifications per freelancer
3

Most common languages
German, English, French

Speak two or more languages
98% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Cologne are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Cologne using Artificial Intelligence
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Artificial Intelligence experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (70%)
- Professional Services (54%)
- Retail (45%)
- Education (31%)
- Banking and Finance (30%)
- Manufacturing (30%)
- Automotive (28%)
- Healthcare (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Artificial Intelligence does
Artificial Intelligence enables software to perform tasks that usually require human judgment, such as understanding language, recognizing images, making predictions and generating content. It combines data, algorithms and computing resources to support decisions or automate repeatable work. The right approach depends on the business problem, data quality and risk level.
Products and use cases
Companies use AI to improve customer experiences, operations and research across many industries, including manufacturing, logistics, healthcare, finance and retail.
- Build recommendation and personalization systems
- Classify documents, images, audio or customer requests
- Forecast demand, maintenance needs or business outcomes
- Create conversational assistants with large language models
- Detect anomalies, fraud or quality issues in real time
Ecosystem and tooling
Artificial Intelligence projects may involve Python, PyTorch, TensorFlow, scikit-learn, pandas and Jupyter for development and experimentation. Professionals also work with cloud AI services, vector databases, data pipelines, model registries and containerized deployment. Retrieval-augmented generation, embeddings, prompt design and model evaluation are common parts of modern language-model solutions.
When companies need specialists
Freelance expertise is useful when an internal team has a promising use case but lacks the skills to move from an experiment to a reliable product. It can also help during a migration, a model audit or a short delivery phase where hiring permanently is not practical.
- The business case is clear, but the data is unprepared
- A prototype must become a monitored production service
- Existing models need better accuracy, speed or explainability
- Teams need support with responsible use and governance
Working with experts in Cologne
Cologne companies can involve Artificial Intelligence specialists in media, logistics, manufacturing, insurance and other data-rich environments. Many projects work well remotely when data access, security and communication are organized clearly; on-site workshops can help with discovery and stakeholder alignment. German and English language needs should be agreed at the start.
What strong professionals deliver
Strong professionals connect model quality with measurable business needs. They ask how data was collected, define a useful baseline and select an approach that can be tested and maintained. They document assumptions, monitor drift, protect sensitive information and explain trade-offs to non-specialists. Their deliverables may include a validated model, an inference service, evaluation procedures, dashboards and clear handover documentation.
Frequently asked questions
Before you brief your next project: the most common questions about Artificial Intelligence.
Artificial Intelligence is used to analyze data, automate decisions, understand text and images, generate content and predict future events. Common projects include support assistants, recommendation systems, quality inspection, fraud detection and demand forecasting.
Artificial Intelligence systems learn patterns from data or use trained models to produce predictions and outputs. Traditional software usually follows rules written directly by professionals, while AI solutions require data preparation, evaluation and ongoing monitoring.
Artificial Intelligence is a broad field that includes machine learning and generative AI. Rules are often better for stable, transparent decisions; machine learning suits pattern-based predictions, while generative AI fits language, image and content tasks that need flexible outputs.
A strong Artificial Intelligence specialist may also understand data engineering, cloud infrastructure, APIs, software testing and information security. For language-model projects, useful adjacent skills include retrieval systems, vector search, prompt evaluation and user experience design.
The right level for Artificial Intelligence depends on the risk, data complexity and production scope of the assignment. A focused prototype may need a specialist who can validate the approach, while a regulated or customer-facing system needs experience with deployment, monitoring, privacy and failure handling.
Artificial Intelligence work can often be delivered remotely from Cologne when secure data access, documentation and regular reviews are in place. On-site sessions can still be valuable for defining the use case, aligning with domain teams or handling sensitive operational processes.
Ask an Artificial Intelligence professional to explain the data assumptions, baseline, evaluation method and expected failure modes of a relevant project. Strong answers cover reproducibility, monitoring, explainability, security and how model performance connects to a business outcome.
Before starting with Artificial Intelligence, clarify the decision the system must support, the available data, access restrictions, success criteria and who owns the final product. Also confirm whether the work covers discovery, experimentation, production deployment or handover, since each phase needs different deliverables.
The average hourly rate of freelancers in Cologne, Germany who have used Artificial Intelligence in their recent projects is 101 €, which corresponds to a daily rate of about 812 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Artificial Intelligence in their recent projects, 92% hold at least a Bachelor's degree, 65% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Cologne, Germany who have used Artificial Intelligence in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Cologne, Germany who have used Artificial Intelligence in their recent projects are German (99%), English (96%), and French (20%).
The most common industries among freelancers in Cologne, Germany who have used Artificial Intelligence in their recent projects are Information Technology (70%), Professional Services (54%), and Retail (45%).
The most common business areas among freelancers in Cologne, Germany who have used Artificial Intelligence in their recent projects are Information Technology (78%), Product Development (73%), and Project Management (66%).
Main locations of FRATCH Experts, who have recently used Artificial Intelligence
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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