AI consulting for companies

From AI use case identification to productive rollout: measurable impact & ROI - securely integrated into your IT.
Satisfied customers from small and medium-sized businesses and large corporations

Many companies start with technology. Successful companies start with the right use cases. After all, the decisive factor is not whether artificial intelligence (AI) is used – but where it has an economic impact. At Ventum Consulting, our AI experts identify, prioritize and implement AI projects with a robust business case. From the strategic target image to a scalable data foundation as a data-driven organization and secure governance to successful anchoring in the company.

Our result: AI initiatives with a realistic ROI, clear implementation logic and a sustainable competitive advantage.

Top Consultant Award


's AI consulting begins with the right use cases

From an idea to a prioritized initiative with a business case: The Ventum Consulting Use Case Workshop identifies concrete, evaluated AI opportunities—including ROI estimates, implementation readiness, and scaling strategies.

Our Services as an AI Consulting Firm for Businesses: Identifying, Evaluating, Implementing, and Scaling AI Use Cases

Discover how we strategically leverage artificial intelligence through our AI consulting services to achieve sustainable success for your company. Our approach combines state-of-the-art AI technologies with a clear objective: We develop customized AI solutions that are optimally tailored to your business needs.

From the initial AI analysis through the implementation of artificial intelligence to the continuous optimization of data models, we provide you with comprehensive support. In doing so, we not only help you unlock the full potential of your data, but also lay the foundation for a data-driven business model that secures your competitive advantage in the long term.

Our services are aimed at companies looking for scalable AI solutions to optimize their processes, drive innovation and remain successful in a data-driven business world.

AI Strategy & Excellence

Clearly prioritizing use cases, including the business case, is the cornerstone of strategy development —so that IT and management know where opportunities lie and in what order they should be implemented.

We translate ideas into reliable ROI calculations and an implementation plan – so that decision-makers can manage their investments with confidence, find successful use cases and scale up quickly.

Secure implementation in architecture, processes and operation prevents pilot traps – so that your IT delivers productive solutions that run stably and are maintainable in the long term.

Clear guidelines, roles and decision-making routines bring artificial intelligence from potential to control – so that management sets priorities, plans budgets and accelerates implementation.

AI Security & Governance

The development of data strategies, models, and interfaces reduces operational risks and protects critical corporate assets.

We create governance, guidelines and verifiability (e.g. EU AI Act/DSGVO-relevant) – so that IT and procurement can manage regulatory risks and gain audit security.

Ventum Consulting identifies, evaluates and resolves AI risks – so that decisions are reliable and projects are not slowed down by surprises.

Choosing the right data and AI tools reduces operational risks, strengthens your technological foundation, and amplifies the impact of AI.

AI Data Foundation

Target image, governance and prioritization for data lay the foundation – so that AI/analytics can scale and investments do not fail due to data chaos.

Control-relevant KPIs and transparent dashboards increase decision-making quality and operational efficiency.

Anchoring data-based processes, roles and standards strengthens sustainable competitiveness and organizational maturity.

Pain points in processes are identified, friction is reduced, and immediate efficiency gains are achieved through AI.

AI People, Change & Enablement

The structured development of an AI organization – from role model to embedded expertise – creates a sustainable impact beyond individual projects.

We ensure acceptance, skills and clear responsibilities – so that the solution is used, has an impact and investments are not wasted.

We empower teams to use artificial intelligence safely and effectively in everyday life – so that investments don’t get stuck in pilots, but are widely used and measurably effective.

A compact introduction to strategy development with clear outputs (use cases, roadmap, next step) – so that you are ready to act in days instead of months and the best conditions are created internally.

Your experts for AI consulting

Hajo Börste

Partners | Data & AI

Tobias Reuter

Principal | Data & AI

Ventum Consulting Tobias Reuther

AI Consulting with Measurable Results—At Every Stage of Your Transformation

Companies go through typical phases on their journey from the initial idea to scalable value creation. Each phase presents its own challenges and is defined by the specific requirements of the business model. Together, through our AI consulting, we identify clear levers for measurable ROI and define the actions needed to achieve your goals for a successful transformation.

Initially integrate AI and develop a strategy featuring a high-value solution through our AI consulting services.

The most important part of an AI strategy – we find the right use case with real impact – quickly, measurably and relevantly.

AI needs data. That’s why we make it accessible—quickly, cleanly, and securely—through our AI consulting services.

In just a few weeks, the test will take place that will demonstrate the real and measurable benefits of the transformation.

Once the first pilot is fully developed, the AI technology is reliably scaled and efficiently introduced into day-to-day operations. Ventum Consulting supports you step by step.

Step by step, our AI consulting services are scaling its use, anchoring it in workflows and increasing acceptance among employees.

Governance and risk management accompany every phase of the AI transformation at the start of the project. Documented processes create security, transparency and auditability.

The initial pilot project has been tested and validated. Now the findings should be scaled up in order to multiply the value.

Kick-Start to Becoming a Data-Driven Company – Your Foundation for AI, Data-Driven Use Cases, and Knowledge Management

Turn raw data into tangible value: with our tried-and-tested kick-start program, you can lay the foundations for sustainable, data-driven transformation in just a few weeks.

  • Individual structural framework with integrated use case blueprint
  • Quick project start thanks to preliminary analysis, tried-and-tested templates and best practices
  • Uniform integration approach for synergies and scalable modules
  • Precise gap analysis for immediate skills and resource development

In line with the principle of “think big, start small”, we rely on a tried-and-tested toolbox of methods and practice-oriented expertise: together, we develop a tailored structural framework, test it with a focused pilot use case and transfer the insights gained to your strategic data initiatives. This creates a resilient framework for designing and planning your most important areas of transformation – efficiently, iteratively and with guaranteed impact.

Success Stories from Our AI Consulting – AI Use Cases & Real-World Experience

International consumer goods company

AI in Controlling: Transforming Analysis, Forecasting, and Management Reporting

Challenge
The controlling teams at several companies needed a structured approach to permanently embed artificial intelligence into their analysis, planning, and reporting workflows—beyond isolated trials.

Our Approach
: Developing a customized AI consulting program tailored to specific controlling processes—from intelligent commentary and AI-powered forecasting to the automated creation of management storylines.

Result
: Significantly reduced time spent on reporting thanks to AI support. More consistent management reports. Established the first company-wide standards for AI-supported work methods in controlling.

Success factor
AI consulting precisely tailored to the operational reality of controlling – with results that are applicable from day one.
To the success story
Major German energy provider

Building AI Readiness: From Understanding AI to the Productive Use of AI Agents and Automation

Challenge
A newly formed department had to build a viable AI foundation in a short time – what was needed was not a theoretical introduction, but immediate operational capability in dealing with artificial intelligence.

Our Approach
Targeted AI skill development in coordinated stages: from understanding large language models to proven prompting techniques, all the way to agent-based AI workflows and end-to-end automation.

Results
: A shared understanding of AI was established across the entire team. Independent use of prompting and AI agents began on day one. A noticeable increase in efficiency in daily workflows.

Key Success Factor
: Building genuine AI capabilities rather than merely imparting knowledge—from a basic understanding to the next stage of development.
To the success story
Media & Education Companies

Scaling AI Adoption Across the Enterprise: From AI Pilots to Production Deployment

Challenge
The use of artificial intelligence was limited to individual initiatives without overarching integration into work processes – a consistent level of AI competence and a reproducible implementation methodology were lacking.

Our Approach
Design and implementation of a modular AI enablement program—from building foundational AI skills to systematic prompting to the seamless integration of Copilot into the entire operational toolchain.

Result
: Comprehensive use of AI across all relevant workflows. Significant productivity gains in documentation, task management, and daily work organization through the consistent use of AI.

Key Success Factor
: Artificial intelligence integrated directly into ongoing business processes—rather than isolated tool training sessions with no connection to everyday work.
To the success story
A globally operating corporation

AI in IT Governance: From Manual Compliance to AI-Automated Corporate Management

Challenge
Increasing regulatory requirements, duplicate documentation efforts, and gaps in transparency regarding IT services pushed manual governance to its limits—it was inefficient, error-prone, and barely scalable.

Our Approach
Comprehensive analysis of all governance processes at the corporate level, design of a user-oriented “Governance as a Service” model, and prototypical implementation of AI-powered automation for machine-readable, compliant documentation.

Result
Fully digitized and AI-automated governance processes with complete transparency regarding compliance status, risk profile, and regulatory obligations—scalable, adaptable, and ready for immediate deployment.

Key Success Factor
Governance designed from a user-centric perspective—with AI automation and a flexible data model instead of rigid, document-driven structures.
To the success story
Mobility Group

AI Readiness in Engineering: Simulation Data Management as the Foundation for AI in Product Development

Challenge
: More than 16 simulation disciplines with heterogeneous data requirements, no end-to-end integration of geometry and functional data, and a lack of AI-ready structures—all while aiming for a rollout to over 2,500 users.

Our Approach
Cross-disciplinary requirements gathering, development of validated AI use cases, and design of a robust architectural vision for enterprise-wide simulation data management—serving as the direct foundation for AI agents and machine learning.

Result
AI-ready data structures established, a robust architectural concept defined, and future-proof work processes implemented—scalable from the core team to an industry-wide AI rollout.

Key Success Factor
In-depth engineering expertise combined with AI architecture know-how—not artificial intelligence as an end in itself, but the right data foundation as the key to genuine AI value.
To the success story
Commercial Vehicle OEM

AI-Based Production Optimization: From Bottleneck Analysis to AI-Powered Real-Time Decision Support

Challenge
Production bottlenecks limited plant utilization and output. The interplay between plant configuration, the production program, and fluctuating data quality rendered conventional optimization approaches ineffective.

Our Approach
Detailed on-site process analysis, data-driven demonstration of potential, and development of an AI-based real-time simulation for the dynamic optimization of plant feed—powered by live production data.

Results
: More than a 5% increase in output through AI during normal operation, and up to 8% during peak load periods—accompanied by a targeted knowledge transfer to ensure the long-term integration of AI at the customer’s site.

Key Success Factor
Custom-developed AI instead of off-the-shelf solutions—in-depth process expertise combined with artificial intelligence, mathematical optimization, and real-time data processing.
To the success story
Premium Automotive Manufacturer

E2E Data Journeys: Using AI Consulting to Transform Fragmented Data Management into a Manageable Framework

Challenge
Heterogeneous approaches, a lack of cooperation between data producers and data consumers, and a grown, fragmented architecture caused redundancies and a lack of controllability – distributed across more than 30 parallel processes with more than 250 individual steps.

Our Approach
: Development of an “E2E Data Journey” as a structured analytical methodology for consolidating existing frameworks—from an assessment of the current state through a user-centered target design to a systematic gap analysis. The entire consolidation was completed within 2 months.

Result
A unified, company-wide data management framework with defined responsibilities, end-to-end processes, and AI-enabled data structures—serving as a robust foundation for scalable AI applications.

Success factor
Data requirements are consistently derived from the business strategy rather than defined in a technology-driven manner – methodically lean, AI-ready and rapidly scalable.
To the success story
Leading industrial company

Data-Driven Feature Management: From Idea to Innovation in Record Time with AI-Powered Control

Challenge
Growing customer expectations, tight budgets and a lack of AI-supported control logic for the feature pipeline slowed down the prioritization and time-to-market of digital product innovations.

Our Approach
: Establishing an end-to-end gate and feature funnel process with an AI-based scoring model, a defined maturity catalog, and automated real-time reporting—all consistently focused on customer value and cost-effectiveness.

Results
: a 30% higher feature release rate, less rework, and a shorter time to market. AI-driven prioritization directs investments specifically to areas where they will have the greatest impact on innovation.

Key Success Factor
: Cross-departmental control loops and AI-based real-time transparency regarding budgets, capacities, and development maturity levels.
To the success story

AI Consulting for the Technologies of the Future

Generative AI (GenAI)

Accelerate innovation and boost your productivity by using generative AI to automatically create content, ideas, and solutions.

Agentic AI

Use autonomous AI agents to execute processes independently and unlock new opportunities for efficiency.

Robotic Process Automation

Use RPA to automate repetitive tasks reliably and at scale to save time and reduce error rates.

Intelligent Automation

Combine AI and automation to optimize end-to-end processes and boost your productivity in the long term.

Industrial IoT (IIoT)

Connect equipment and machines intelligently to gain real-time visibility and improve production processes.

Digital Twin

Simulate and optimize systems digitally to reduce downtime and make data-driven decisions faster.

AI workshops & training courses from Ventum Consulting

Build AI competence. Developing impact. Empowering professionals.

A shortage of skilled workers, increasing pressure to innovate, and ever-shorter technology cycles call for teams that can take action—not just theoretical knowledge. Our training courses and workshops teach tried-and-true methods and AI expertise that have an immediate impact on day-to-day work. Instead of abstract theory, your employees receive concrete use cases, structured process models, and tools they can put to use right away.

2 days | Munich or in-house | Certificate

Participants learn how to transform the entire software development process into a structured, repeatable workflow using agent-based AI tools – from clear specifications and automated code generation to quality assurance and scalable delivery to reduce development effort and noticeably increase productivity.

To the training

1-10 days | Munich or in-house | Certificate

The AI Security Assessment provides you with a comprehensive, robust evaluation of your AI stack – including identified vulnerabilities, prioritized risks, practically tested attack vectors and a clear, auditable action and governance plan that will make your AI systems secure, compliant and scalable in enterprise operations.

To the assessment

1 day | Munich, online or in-house | Certificate

Practical use of ChatGPT, Microsoft Copilot and structured prompt engineering.

The aim is to achieve a sustainable increase in efficiency through better workflows and consistent AI results.

To the training

1 day | Munich, online or in-house | Certificate

Efficient use of ChatGPT to reduce manual tasks and increase productivity.

Participants learn how to transform routines into structured prompts and use artificial intelligence to assist them in their day-to-day work.

To the training

5 days | Munich, online or in-house

In just five days, an AI idea is turned into a testable prototype with a validated business case.

Ideal for companies that want to accelerate innovation and make informed investment decisions.

To the workshop

2–5 modules that can be flexibly combined | Online, Munich, or in-house | Certificate

Participants will learn to provide holistic support for AI transformations—from identifying relevant use cases to the effective use of modern AI tools and prompt engineering, all the way through to coaching, change communication, and the sustainable integration of AI expertise within the organization.

The goal is to build acceptance, overcome resistance, and, as a certified AI coach, guide organizations safely into the AI-driven workplace.

To the training

The AI Leadership Training course shows you how to immediately and effectively use AI to make clear decisions, build strong teams, and practice modern leadership—in a practical, responsible, and directly applicable way.

To the training

1 day | Munich, online or in-house

Structured identification, evaluation and prioritization of relevant AI use cases.

The result is a clear roadmap with a realistic ROI and defined next steps.

To the workshop

1 day | Munich, online or in-house

Practice-oriented introduction to AI with a focus on economic implementation and scaling.

Ideal for medium-sized companies that want to realize concrete added value.

To the workshop

1 day | Munich, online or in-house

Strategic classification of modern AI methods and concrete application to corporate reality.

Creates clarity, decision-making ability and a structured basis for implementation.

To the workshop

Why Choose Ventum Consulting for AI Consulting?

AI consulting requires more than just an understanding of technology. What matters most is the ability to align business objectives, technological capabilities, organizational structures, and the people within the company. In its AI consulting services, Ventum Consulting combines these perspectives with many years of experience and a track record of implementation in complex business environments. This results in AI initiatives that are economically sound, organizationally embedded, and scalable over the long term.

Many AI initiatives start with tools without their economic benefits having been adequately assessed. As a result, budgets are allocated to pilot projects that make no measurable contribution to the company’s success. Ventum Consulting evaluates AI use cases based on ROI potential, feasibility, data availability, investment requirements, and scalability. This ensures that budgets are focused on applications that can make a substantial contribution to efficiency, quality, or growth.

AI projects often fail not because of the idea itself, but because of the transition from concept to implementation. Ventum Consulting supports AI initiatives from the strategic vision through use case prioritization and MVP to integration into processes, systems, and operating models. Leadership, change management, and enablement ensure that new solutions are adopted, used in day-to-day work, and further developed over the long term.

Productive artificial intelligence requires clear guidelines for data protection, information security, accountability, and risk management. Ventum Consulting takes into account requirements under the GDPR and the EU AI Act, as well as industry-specific regulations in highly regulated environments (e.g., NIS 2-regulated companies). This results in AI solutions that are transparent, controllable, and auditable.

Ventum Consulting combines the experience gained from more than 20 years of working with medium-sized companies and global corporations. Proven expertise from large-scale corporate projects is applied to lean, medium-sized structures without introducing unnecessary complexity. Conversely, the short decision-making processes, close ties to operational teams, and pragmatism characteristic of medium-sized companies are incorporated into corporate projects. This results in solutions that are tailored to each organization and can be scaled incrementally.

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    FAQs on the topic of AI advice & consulting

    AI consulting helps you to find the optimal solution for your company. Our experience in AI consulting helps you avoid typical stumbling blocks and ensures that your AI projects are implemented efficiently and successfully.

    You can expect the first tangible results from our AI consulting after just a few weeks. The exact duration depends on your project and objectives, but we work as quickly and efficiently as possible.

    The cost of AI consulting depends on the scope and requirements of your project. As a management consultancy, we will be happy to provide you with a transparent and customized offer that perfectly suits your needs.

    Even after implementation, we are at your side as a management consultancy! Our support includes regular updates, optimizations and the assistance you need from our AI consultants to benefit from your AI solution in the long term.

    We offer special training courses, workshops and AI enablement programs so that teams and managers can use AI safely and productively in their day-to-day work. Our AI consulting promotes acceptance, skills development and sustainable adoption. Discover our offers here or ask for an individual AI enablement.

    Yes, our AI consulting services are implemented with a focus on productive operation, maintainability and scalability. Ventum Consulting ensures that AI solutions do not get stuck in pilot traps, but are stable and sustainable in the long term.

    Our AI consulting prioritizes AI use cases according to business value and risks, creates reliable ROI models and introduces AI not “for the sake of technology”, but with a clear value logic. The value contribution and scalability of AI applications are key decision-making parameters.

    For example, through a structured use case workshop in which potentials are evaluated, risks analyzed and business cases created. This makes it clear which applications have a real impact and in which order they should be implemented. The focus is on generating measurable benefits instead of launching random AI experiments.

    AI consulting goes well beyond traditional IT consulting. While classic IT projects typically focus on topics such as system architectures, data infrastructures, or integrations, AI consulting combines these fundamentals with specialized AI expertise. This includes, among other things, selecting suitable models, assessing data quality, methods such as prompt engineering, MLOps frameworks, as well as aspects related to Responsible AI and the requirements of the EU AI Act. At the same time, the use of AI always requires a deep understanding of business processes and professional change management, as AI solutions often trigger far-reaching organizational changes.

    Business AI consulting refers to strategic guidance that helps companies identify, evaluate, and successfully implement the potential of artificial intelligence in a targeted manner. It encompasses the identification of meaningful use cases, the development of the necessary data infrastructure, the selection of appropriate technologies, and compliance with regulatory requirements such as the EU AI Act. In addition, AI consulting supports companies in change management to ensure the long-term and sustainable adoption of AI within the organization.

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