AI Consultant
to turn complex data into practical results with vetted, available expertsHire specialists for generative AI, machine learning, AI strategy and production deployment. FRATCH matches you quickly and precisely with vetted freelance AI Consultants who are available for your project.
Meet FRATCH AI Consultants
Alwin G.
Last position:
IT Interim Manager & AI Strategist
- Founder of CheironX: AI-supported GRC management (ISO 27001, BSI IT-Grundschutz, TISAX, DORA)
- Strategic focus on Agentic AI and GenAI for modern IT Governance, Risk & Compliance Management
- IT interim management and strategic consulting
Daniel S.
Last position:
AI Strategy & Use-Case Development at Umwelt Service Salzburg
- AI strategy concept and implementation roadmap for an energy consulting company.
- Use-case matrix with nine application scenarios (including funding research, chatbot, initial AI consulting, topic radar), implemented as reusable Claude Code skills.
- AI strategy, use-case analysis / Claude Code Skills / n8n.
Elena S.
Last position:
Learning & Development Consultant | Executive Coach | Leadership Development Facilitator at Indipendent Advisor
Independent HR & Learning Consultant | Founder, Elevate Growth
- Partner with consulting firms and corporate clients on Learning & Development strategy, leadership development, executive and management coaching, organisational development, and culture and change initiatives.
- Design and deliver tailored learning programmes, leadership workshops and team development interventions, combining strategic consulting, facilitation and coaching.
- Support organisations in exploring the opportunities and challenges of AI-enabled people development, integrating emerging research with practical organisational needs.
- Leverage 15 years of corporate HR and L&D experience in multinational environments, including Barilla and CNH Industrial, to translate business challenges into practical, impactful development solutions.
Roland C.
Last position:
Founder, Agents in Everyday Business at CXO AI OS
CXO AI OS is an agent system made up of six building blocks. Instead of using AI as a chat window, it creates a system that knows a company's context, makes decisions according to its rules, and acts on its behalf.
- For SMEs: guided sprint followed by ongoing operation for a team, department or prioritized cluster, based on an AI assessment
- For self-employed people: program in which participants build their own agent system
- Sequence in the company: assessment, prioritization, sprint, operation
- Implementation in Claude Cowork or ChatGPT Work, without programming
- Architecture: Chief of Staff, Goals, Advisors, Agents, Context, Catalog
Christoph K.
Last position:
AI Project Manager at Logistics industry
- Project management for the introduction of an AI-supported email automation system for a logistics service provider
- Requirements analysis, stakeholder coordination, consulting, implementation support
Frank G.
Last position:
Project Lead at Flamingo Med Solutions
- Led the founding of a startup for AI-based consulting products for dental practices.
- Developed and launched PraxisScore, a data-driven consulting product for economic analysis and corporate consulting of dental practices.
- Held full responsibility for technical implementation, AI integration, and structured startup setup from product idea to public launch at IDS 2025 in under three months.
Fadi S.
Last position:
AI-Engineer at Recruitment Agency
- Design, development, and productive rollout of an Enterprise HR Copilot based on Microsoft Copilot Studio to automate internal HR processes
- Development of an AI-supported assistant for answering employee inquiries based on a SharePoint knowledge base and internal company HR documentation
- Integration of the Copilot into Microsoft Teams, including welcome logic, user guidance, and role-based routing
- Automation of HR processes and approval workflows with Microsoft Power Automate to reduce manual processing steps
- Development of realistic HR documents and response templates with Azure OpenAI, taking business requirements and consistent company policies into account
- Implementation of prompt strategies, knowledge management, and response optimization to improve response quality and user acceptance
- Close collaboration with business departments to analyze requirements and integrate the AI solution into existing company processes
Technologies:
Microsoft Copilot Studio, Microsoft Teams, Azure OpenAI, SharePoint, Power Automate, Power Platform, Microsoft 365, Prompt Engineering, Workflow Automation
Wolfgang F.
Last position:
AI Driving License Trainer at KI-Trainer WIFI Wien
Ursula M.
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company's BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment featuring a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between departments
- Forecasting & planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enables rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure, and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing, and consistent modeling using star schema, DAX, and Power Query
- Incident & anomaly analysis: Identification, investigation, and explanation of data anomalies, including root-cause analysis and concrete recommendations for action
- AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Creation of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops, and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email distribution of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization, and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
Silvia K.
Last position:
Head of Consulting | Interim at Craftworks
- Built the AI/data consulting practice and scaling strategy
- Advised international energy and industrial clients
- Secured four strategic international projects
- Delivered two enterprise AI/data strategy initiatives
Kareem S.
Last position:
Business Analyst & Consulting Manager at S&M Unternehmensberatung PartG
- I support medium-sized clients with their funding needs.
- I evaluate operational business processes and translate complex legal and regulatory requirements into business requirements, target models and actionable roadmap epics.
- I use Generative AI tools and automation in a targeted way to efficiently create requirements documentation, process analyses, evaluations, meeting preparation materials, customer analyses and decision papers.
Alois S.
Last position:
Founder & Owner | AI Transformation Consultant & Executive Coach at Kleos - Consulting, Coaching & Project Management e.U.
Since the company was founded, ongoing consulting and coaching engagements for companies and organizations, mainly from publishing, healthcare, and the non-profit sector.
Current engagements and consulting focus areas
- Assessment and structured clarification of AI potential, starting point, opportunities, risks, and the next sensible step
- Identification and prioritization of AI use cases based on value, feasibility, risk, and organizational readiness
- Design of AI roadmaps and pilot projects as well as definition of roles, responsibilities, human oversight, and quality/approval logic
- Executive briefings, management workshops, and AI literacy and adoption formats for leaders and teams
- Executive coaching on leadership, role clarity, strategy execution, career change, and personal development
Martin R.
Last position:
TECH DUE DILIGENCE FOR PE, VC & FAMILY OFFICES (UNDER NDA) – AI STRATEGY at PE-, VC- & Family-Office-Portfoliounternehmen (vertraulich, unter NDA)
Two parallel workstreams: (1) Tech Due Diligence for acquisitions and portfolio companies. (2) AI strategy certification and AI governance consulting.
- Tech assessments for PE/VC acquisitions: code reviews, architecture analysis, scalability assessment
- Tech assessment frameworks and integration roadmaps for portfolio companies
- TĂśV SĂśD certification program: AI governance, EU Artificial Intelligence Act (EU AI Act)
- Strategic AI roadmap development for mid-sized companies
Results:
- Delivered several tech DD reports for investment decisions
- Developed integration roadmaps for portfolio companies
- TÜV SÜD “AI Strategy & Application Expert” (expected 31.12.2026)
Bernhard K.
Last position:
AI Consultant at Bitpanda
- Advising on AI strategy and implementation for one of Europe's leading digital asset platforms
- Helping teams integrate agentic AI workflows, optimize developer productivity through AI-assisted tooling, and evaluate emerging AI technologies for fintech applications
Discover over 15,000 top freelancers
AI Consultants statistics
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
3 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Professional Services, Manufacturing
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
92%
Master's degree or higher
67%
Doctorate
16%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
95%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this role 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 for AI Consultants
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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
AI Consultants 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 (89%)
- Professional Services (71%)
- Manufacturing (42%)
- Retail (40%)
- Education (39%)
- Banking and Finance (38%)
- Automotive (35%)
- Healthcare (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the role
What AI Consultants deliver
AI Consultants help companies identify where artificial intelligence can create measurable business value and turn that opportunity into a working solution. They connect business goals with data, technology and responsible implementation.
- Assess processes, data quality and AI readiness
- Define use cases, business cases and implementation roadmaps
- Design AI and machine learning architectures
- Build prototypes, pilots and production-ready solutions
- Establish governance, monitoring and improvement processes
Core skills and methods
The work combines strategic consulting with technical delivery. Strong professionals understand machine learning, natural language processing, generative AI, predictive analytics and automation, while also explaining limitations and trade-offs to non-technical stakeholders. They know how to frame a problem before selecting a model or tool.
Typical methods include data exploration, feature engineering, model evaluation, prompt design, retrieval-augmented generation, fine-tuning, experimentation and human-in-the-loop workflows. Depending on the project, they work with Python, SQL, cloud AI services, machine learning frameworks, vector databases, APIs and MLOps pipelines.
When companies bring them in
Companies often hire an AI Consultant when they have a promising use case but lack the internal expertise to evaluate it, build a reliable pilot or move beyond experimentation. Freelance support is useful during digital transformation, product development, process automation, data platform changes and the introduction of generative AI.
An external specialist can provide an independent assessment before major investment, strengthen an existing data science team or lead a focused implementation without creating a permanent position. They may work remotely, on-site or in a hybrid setup, depending on access to systems, workshops and stakeholders.
What distinguishes strong professionals
A capable AI Consultant does more than recommend a model. They define success criteria, validate assumptions, protect sensitive data and create solutions that users can operate and maintain.
- Translates business problems into testable AI use cases
- Explains model quality, risk and cost in clear language
- Selects tools based on requirements rather than fashion
- Documents data sources, decisions, limitations and interfaces
- Plans deployment, monitoring, security and human oversight
Look for evidence of delivered projects, not only certificates or tool familiarity. Strong consultants can show how their work improved a process, supported a product decision or made an AI system safer and more useful.
Frequently asked questions
Curious about AI Consultants? Here are the answers that come up again and again.
An AI Consultant assesses the business problem, available data and technical environment before recommending a solution. The engagement may cover strategy, use-case prioritisation, prototyping, model selection, implementation support and production governance.
An AI Consultant usually spans business strategy, technical design and delivery coordination. A data scientist often focuses on analysis and modelling, while a machine learning engineer concentrates on building, deploying and maintaining production systems; one person may cover several of these areas.
A strong AI Consultant should understand large language models, prompt design, retrieval-augmented generation, evaluation, data protection and integration through APIs. They should also know how to control hallucinations, protect confidential information and design meaningful human review.
A freelance AI Consultant is a good choice when a company needs an independent assessment, a focused pilot or specialist knowledge for a defined transformation phase. A permanent hire may be better when AI operations require continuous ownership, internal product development and long-term team leadership.
An AI Consultant should provide a prioritised set of use cases, an assessment of data and technical feasibility, clear success criteria and a practical roadmap. Depending on the brief, the deliverables may also include an architecture proposal, prototype, risk review and implementation plan.
Yes, an AI Consultant can work remotely when documentation, secure system access and regular stakeholder sessions are available. Workshops, data reviews and rollout activities may still benefit from occasional on-site collaboration, especially when processes involve several business teams.
Evaluate whether the AI Consultant can connect technical choices to business outcomes and explain uncertainty without making unrealistic promises. Ask for examples of shipped solutions, evaluation methods, deployment decisions, documentation and how risks were handled.
Many AI Consultants support implementation by building a pilot, guiding developers, setting evaluation processes and preparing a production handover. Confirm the scope early, because some consultants focus on strategy while others combine advisory work with hands-on engineering.
The average hourly rate for AI Consultants is 114 €, which corresponds to a daily rate of about 912 € based on an 8-hour working day.
Of the freelancers working as AI Consultants, 92% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 16% hold a doctorate.
On average, freelancers working as AI Consultants have 18 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers working as AI Consultants are German (98%), English (96%), and French (21%).
The most common industries among freelancers working as AI Consultants are Information Technology (89%), Professional Services (71%), and Manufacturing (42%).
The most common business areas among freelancers working as AI Consultants are Information Technology (98%), Product Development (75%), and Project Management (69%).
FRATCH AI Consultants main locations
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Munich 
Frankfurt In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Zurich Geneva Basel Bern Countries:
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
