AI consulting: What makes our strategies for companies special?
Free webinar: AI in everyday office life
Artificial intelligence is no longer a futuristic buzzword, but the decisive lever for your competitiveness. However, while the vision of autonomous processes and intelligent data analysis beckons, many companies are faced with a wall of complexity. Professional AI consulting is your bridge between technological potential and real economic success.
While some still think that AI is only for large companies, we see in our projects every day that SMEs in particular benefit from the use of this technology.
In this guide, you will find out what a well-founded AI strategy looks like, why we at FIDA have the ideal expertise for you as a long-standing software company and how you can integrate artificial intelligence (AI) into your business in compliance with the GDPR. Start your AI transformation with us!
Why AI consulting is indispensable for companies today
Companies in all sectors - from bold SMEs to global corporations - are using AI to optimize processes, reduce costs and scale completely new business models. But the introduction of AI is not just an IT project. It is a change process that affects your entire organization.
An AI strategy is more than just a catalog of measures. It defines how artificial intelligence should be anchored in your company - technically, organizationally and culturally. This includes not only specific use cases, but also questions of data quality, IT infrastructure, AI governance and the ethical use of AI.
Escape the complexity trap
The challenge is often not a lack of tools (such as ChatGPT, Midjourney or specialized ML models), but their integration. Without strategic AI consulting and an AI strategy, you run a risk:
Isolated solutions: Your tools are used in isolation without creating valuable data synergies.
Compliance risks: Sensitive company data inadvertently ends up in public US models.
Bad investments: You invest in technology that misses the actual core of your problem.
Solutions should be designed to be scalable and flexible for future growth from the outset. Professional advice also ensures that data protection and legal requirements such as the EU AI Act are complied with and ethical risks are minimized.
From your vision to a concrete use case
You may already have a "gut feeling" that AI could help you. Our AI consulting develops a resilient AI strategy from this feeling. Aligning AI initiatives with the overarching corporate strategy ensures that technology is used as a driver for long-term success. The first step is always to clearly define the goals you want to achieve with AI - building on this, we work together to develop a customized AI roadmap that ensures the implementation and continuous monitoring of the AI models used.
Identification of your "low hanging fruits"
Not every process needs to be automated immediately. We first identify the use cases for you that promise the highest ROI (return on investment) with the lowest risk.
Goals of our consulting for you:
Create transparency: What data do you already have and how good is its quality?
Use case evaluation: Where does AI solve a real problem for you (e.g. in customer service, logistics or marketing)?
Technology selection: Do you need a ready-made tool or a customized AI model?
Our experts will support you in setting up a solid data infrastructure. Data is at the heart of every AI initiative, and without high-quality data, AI cannot deliver reliable results. Data is at the heart of every AI initiative. Companies must ensure that they have sufficient amounts of data and that this data is relevant to the planned AI applications.
AI models in practice: use cases that make the difference
The possible applications of AI technologies are as diverse as the companies that use them. The aim is not to replace people, but to free them from monotonous tasks and provide a more precise basis for decision-making. Automated processes significantly lower operating costs, reduce the need for resources for recurring tasks and increase the efficiency of processes. Here are some of the strongest use cases we regularly identify in AI consulting:
Sales
Intelligent lead management: Automatic referral of sales leads to the right contacts.
Pattern recognition: real-time recommendations for specific customer groups through in-depth data analysis.
Smart sales support: Automatic opportunity scoring and precise deal forecasts.
Customer Service: Automated agents who understand natural language and forward inquiries efficiently.
Cross- & upselling: Determination of customer readiness for system updates or additional products in sales.
marketing
Service chatbots: Relieve your team with 24/7 customer service support.
Content revolution: Optimization and support in the creation of text content and campaigns.
Performance boost: Significant increase in ad performance through AI-driven playout.
Behavioral analysis: Real-time analysis of customer behavior for a deep understanding of the customer.
Hyper-personalization: Individualized newsletters that precisely take into account usage and purchasing behaviour.
Reporting: Massive reduction in the time required for internal reports.
Production
Predictive maintenance: Predictive maintenance to avoid expensive machine failures.
Smart factory: Employees and context-aware robots that work hand in hand with your team.
Quality assurance: Automated tests and image recognition to maximize production yield.
Anomaly detection: Intelligent analysis of operating and sensor data detects irregularities immediately.
HMI optimization: Simplification of communication between man and machine.
HR & Personnel
Digital recruiting: recruitment assistants and video interview tools for efficient selection processes.
Smart Matching: support with applicant assessment and automated report generation.
Employee coaching: career assistants that recommend individual training programs.
Personnel development: Profile analyses for the targeted development of your employees.
Content for HR: Fast creation of high-quality training documents.
Whether you work in SMEs, industry or the public sector, the key is to use AI where it offers a measurable return on investment (ROI). Whether in marketing, sales or administration, AI automates many manual, time-consuming tasks, which leads to a significant reduction in workload and an increase in productivity. It enables more precise data analysis, which helps companies to identify new opportunities and potential, which can lead to significant sales growth.
FIDA's AI expertise: we know what we're talking about
As an IT and software company with over three decades of experience in various industries, we know that software has to work, but AI has to understand. Our AI experts with many years of experience offer you individual advice and in-depth analyses to develop customized solutions for your requirements. Our expertise in AI consulting is not based on theoretical white papers, but on our daily work on real products.
Our own AI solutions are your proof of quality
We don't just talk about AI - we build it ourselves. Our products show you the depth of our development expertise:
GPT4YOU: Your secure, GDPR-compliant enterprise solution for the use of Large Language Models (LLMs).
fraudify: An intelligent system for fraud detection through automated image analysis.
MsDaisie: Our AI solution for teachers.
These in-house developments are our "proof of concept" for you. When we advise you, you benefit directly from the learning effects that we have gathered during the development of these market-ready products. Our experts transform current knowledge from research directly into practical methods for your company.
Who advises you at FIDA? - Our AI experts in focus
Behind every algorithm are people. Our team consists of experienced data scientists, software architects and change managers who are eager to move your project forward. Our experts support you in setting up the necessary data infrastructure, as clean and structured data is the basic prerequisite for scalable AI solutions. Our consultants identify relevant use cases that promise the highest return on investment instead of experimenting at random.
Tobias Venn (Head of Data Science): Expert in economics and statistics. He manages the development of innovative products and multi-agent systems.
Dr. Gillian Kant: PhD specialist in applied statistics. He transforms complex problems into scalable AWS cloud solutions.
Dr. Patrick Dylong: Expert in finance and economic statistics. He provides the mathematical foundation for your data-driven decisions.
Dr. Simon Kroll (Head of FIDAcademy): Internationally experienced data scientist. He is your professional for the interface between man and machine.
Florian Edenhofner: Specialist at TU Munich for reinforcement learning. As a trainer, he makes complex AI topics tangible for your team.
Interviews:
What they all have in common: the ambition to not only develop AI, but to make it understandable - and to work with our customers to design solutions that not only work, but also bring real added value.
Our methodology: How your AI strategy is created
We take a structured but agile approach, because AI projects are not rigid constructs, but learning systems. A clearly defined procedure is crucial, especially in the implementation phase of AI projects, in which strategic plans are translated into measurable results.
Step 1: Your "Strategy for Data" workshop
It all starts with an inventory. In our kick-off workshop, we analyze your data landscape. Without clean data, there are no good AI solutions. We clarify together:
What data sources do you have?
How is your data sovereignty regulated?
What are your main business goals?
Step 2: Proof of concept (PoC)
Before large budgets flow, we test your idea. A PoC shows you within a few weeks whether the use of AI achieves the desired accuracy. This minimizes your investment risk considerably.
Step 3: Implementation & scaling of AI systems
After the successful test, we integrate the AI solution into your existing IT infrastructure. It is important to us that the solution can grow with your company. A successful AI strategy requires continuous monitoring of the performance of the AI models used and regular adaptation to new technological developments or market conditions.
Step 4: People, culture and change management (enablement)
AI often fails due to acceptance. That's why our consulting services also include training via the FIDAcademy. We take your staff with us, reduce fears and give your team the skills they need to deal with the new systems.
How much does AI consulting cost?
The question of costs is justified, but it is as individual as your company itself. At FIDA, we work with a transparent, modular pricing model.
Entry-level packages: We offer strategy workshops and potential analyses at fixed prices.
Project-based billing: When developing individual AI agents, the calculation is transparent and based on time and effort,
Scalability: Many of our customers start small ("Start Small") and reinvest the savings achieved in the further scaling of AI solutions.
Amortization: We only implement projects that pay for themselves in 12 months or less
Transparency is important to us: You retain full cost control at every stage.
Lexicon: AI terms you must have heard!
The world of artificial intelligence is full of buzzwords. In our AI consultancy, we clear up the jargon. To help you make informed decisions for your company, we have broken down the most important pillars of modern AI architecture for you here:
Generative AI & Large Language Models (LLM)
Everyone has been talking about Generative AI since the breakthrough of ChatGPT. These models (such as GPT-4) are trained to create new content - be it text, programming code or images.
Enterprise solutions: In AI consulting, we show you how to use these models safely. With GPT4YOU, for example, we offer you an environment in which your sensitive company data is not used to train public models, but remains exclusively in your protected area.
Agentic AI: looking into the data
In contrast to Generative AI, which creates something "new" (texts, images, code), Analytical AI has a completely different task: it evaluates huge amounts of existing data in order to recognize patterns, understand correlations and make precise predictions.
You can think of it as the "super-intelligent statistician" in your team. It helps you answer questions like: "What happened? Why did it happen? And what's likely to happen next?"
While traditional software rigidly follows an "if-then principle", modern AI agents act largely autonomously. They are the next level of process automation. Particularly advanced, proactive systems are referred to as agentic AI - this form of AI goes beyond pure reactivity and independently orchestrates processes to create real added value in various business areas.
How they work: An agent receives a goal (e.g. "Process this customer complaint"). It analyses the email, independently searches for the order in the ERP system, checks the delivery data and drafts a personalized response or even triggers a refund.
The advantage for you: your employees are freed from repetitive tasks and can concentrate on complex cases that require empathy and strategic thinking.
Machine Learning (ML): the learning engine
Machine learning is the technological foundation of almost all AI applications. Instead of a programmer writing each rule individually, the system recognizes patterns in existing data.
Supervised learning: You train the AI with examples (e.g. "This is a manipulated image, this is a real one"). In this way, our fraudify tool learns to recognize fraud attempts with ever greater precision.
Deep learning: This sub-form of ML uses neural networks that are modeled on the human brain. It is particularly strong at understanding unstructured data such as images, videos or human language.
AI governance: security, ethics and law when using AI services
The deeper artificial intelligence penetrates into your business processes, the more important solid AI governance becomes. Providers and users based in Germany or Austria are subject to stricter regulatory requirements than companies in tax havens or the USA. This is not about hindering innovation, but about creating a secure guard rail system. A strong governance structure is necessary to monitor risks such as bias, data breaches or unethical behavior in connection with AI.
Legal security & compliance: Ensure strict GDPR compliance and sound knowledge of the new EU AI regulation (AI Act). The EU AI Act imposes strict legal requirements on companies. We help you categorize your systems into risk classes and ensure that you comply with all documentation and transparency obligations.
Data sovereignty & protection: Who is allowed to use which data to train models? Where is the data stored? We support you in configuring AI solutions in such a way that your intellectual property remains protected and GDPR compliance is maintained.
Ethical standards & transparency: AI decisions must be comprehensible(Explainable AI). We work with you to develop guidelines that define how bias is avoided and howhuman-in-the-loop oversight is maintained.
Conclusion: Start your AI journey with us now.
Artificial intelligence is not a project with an end date, but a new way of running your business. Digitalization was your first step, AI is now the logical evolution. It is the key to successful transformation, the efficient implementation of innovative strategies and the sustainable growth of your company. Companies that introduce AI automation can achieve efficiency gains of 20 to 40 percent in recurring processes. Prefer customized solutions over rigid standard tools to achieve individual competitive advantages.
Our strength lies in the combination of sound technical expertise, years of project experience and a team that not only understands AI, but can translate it into the context of your organization. We not only draw on best practices, but also actively shape the future - through our own AI products such as GPT4YOU, fraudify and MsDaisie, through the methodical work of our data scientists, and through the knowledge of our trainers in the FIDAcademy. Our goal: to use your resources as efficiently as possible!
Practical relevance: We use our own AI products every day.
Security: We prioritize your GDPR compliance and data sovereignty.
Holistic approach: We support you from your initial idea to the finished software and the training of your employees.
The path to becoming an "AI-ready company" and using AI doesn't have to be rocky for you. With the right advice and AI strategy, you can turn complexity into a measurable advantage. Ready to take the first step? Contact us for a no-obligation consultation and let's see how you can make AI work for your business.
FAQ - Frequently asked questions about AI consulting
An AI consultant helps you to identify the potential of artificial intelligence for your business. Specialized AI experts offer individual services and consulting services that are precisely tailored to your requirements. This ranges from the initial potential analysis and the development of a customized AI strategy to the technical implementation and training of your employees. We are your bridge between complex technology and real business benefits.
AI is not just for tech giants. AI offers enormous opportunities for SMEs in particular to work more efficiently and counteract the shortage of skilled workers. As soon as you have repetitive processes or use large amounts of data, consulting can be worthwhile - we often start with small, cost-effective pilot projects.
Data security is a top priority when developing your AI strategy. With solutions such as GPT4YOU, we offer you the opportunity to use state-of-the-art language models in a protected, GDPR-compliant environment. Your company data never leaves the secure room and is not used to train public models.
The costs vary greatly depending on the scope, objective and complexity. An initial workshop or potential analysis is usually rather inexpensive, while a comprehensive project that includes technical development as well as organization and culture requires higher investments. It is important that the consultancy is calculated in a modular and transparent manner so that you can decide step by step how far you want to go.
Analytical AI recognizes patterns in existing data in order to make predictions (e.g. "When will this machine break down?"). Generative AI, on the other hand, creates new content (e.g. text, images or program code). In a good AI consultancy, we often combine both approaches to achieve maximum added value for you.
Thanks to our agile approach and focus on a proof of concept (PoC), you can often see the first results within just a few weeks. Our goal is to quickly deliver proof of value before you invest in large-scale scaling.
The EU AI Act is the world's first comprehensive regulation for artificial intelligence. It divides AI systems into risk classes. If you develop or use AI in the EU, you must meet certain compliance requirements. We advise you so that your AI solutions are legally compliant right from the start.
No. This is exactly where we come in. We act as your external AI department. We provide the experts, the infrastructure and the experience. At the same time, we train your employees in the FIDAcademy so that they can handle the new tools with confidence.
