Artificial intelligence consulting: What makes efficient AI strategies for companies?
Artificial intelligence has long been more than just a passing trend. Today, companies of all sizes and from all industries rely on AI to optimize their processes, make data-based decisions and develop new digital business models. In a business context in particular, AI enables the sustainable development and optimization of business processes and makes a significant contribution to a company's success.
However, the introduction of AI is complex. It is not just about software and data - it challenges organizations to change the way they think, work and make decisions. AI plays a central role in the optimization of processes in companies in particular, as it helps to make workflows more efficient and smarter.
AI consulting for companies: Between vision and reality
This is precisely where our professional AI consulting comes in: It creates clarity in the technology jungle, identifies potential and accompanies companies from the idea to implementation.
Artificial intelligence (AI) is revolutionizing business life by opening up new opportunities for companies to drive innovation and secure competitive advantages.
Through the targeted use of modern AI systems and AI technologies, companies can increase the efficiency of their business processes and achieve continuous improvement in a wide range of areas.
A recent study by the BWMI shows that the targeted use of AI can significantly increase productivity and give companies a decisive competitive advantage.
What AI expertise does FIDA have?
As an IT and software company with over three decades of experience and AI expertise, we understand the difference between technological hype and real benefits. Our expertise in AI consulting is based on in-depth IT knowledge, a deep understanding of business processes and, above all, practical experience with specific AI products and projects.
In addition, our AI experts continuously monitor current developments and apply modern artificial intelligence methods in practice.
With AI applications such as GPT4YOU, fraudify and MsDaisie, we have developed our own solutions that are already being used productively in companies and organizations - successfully, securely and in compliance with GDPR.
These products exemplify our attitude: AI must not only function technically, but also offer real added value. The thematic breadth of our solutions and the continuous further development in the field of AI technology underline the innovative strength of our company.
Wir bieten nicht nur KI-Beratungen an, sondern auch eigene Produkte!
What is the point of AI consulting?
Many companies already have a gut feeling that AI could help them - be it in automation, analyzing large amounts of data or in customer communication. The topic of AI strategy is a key concern for companies that want to drive forward their digital transformation. However, they often lack an overview of which technology is suitable for what, where the database is sufficient or how to plan the first steps efficiently.
This is where the work of our AI consultants comes in. In clear steps, the focus is on identifying relevant topics, selecting suitable use cases and developing tailored AI strategies to achieve business goals.
An AI consultancy helps to turn a hunch into a well-founded strategy. It clarifies which goals are realistic, how they can be achieved - and where investments are really worthwhile. This turns AI from an abstract concept into a tangible tool.
What is the aim of our artificial intelligence consulting?
The aim of our AI consulting is not to introduce as many tools as possible or to "somehow" automate processes.
The focus is always on the question: What brings real added value to the company? This could be more efficient customer service, an automated approval process or a more precise risk analysis - depending on the industry and the initial situation.
This is why we work with our customers to develop tailor-made strategies and solutions that can be seamlessly integrated into existing structures and grow with the company. A key success factor here is the continuous optimization and adaptation of processes in order to make the introduction and integration of AI solutions sustainable and effective. We attach particular importance to the integration of customized AI solutions into existing processes, continuous further development and the targeted expansion of the services offered.
To summarize: Our consulting projects always have a clear goal: to deliver tangible results with long-term benefits.
How AI consulting works
The first step is often a joint workshop or analysis meeting. At FIDA, this initial workshop is called "Strategy for Data". We want to understand what makes your company tick. The structured analysis is carried out in clear steps and places particular emphasis on the integration of modern systems and methods. What data is available? Where does the shoe pinch?
Based on this, we develop a well-founded assessment of which AI use cases appear to make sense and which requirements need to be met - in terms of technology, organization and personnel. This is usually followed by a proof of concept in which an initial solution is tested. This allows potentials to be tested quickly - without major investment pressure.
If this step is successful, we accompany you in the scaled implementation - both technically and organizationally. After all, AI projects only work if people support them. Training, targeted training and good communication are therefore always part of the process for us, whereby we place particular emphasis on conveying relevant content in order to ensure sustainable learning success. You will receive comprehensive support from experienced experts every step of the way.
How much does AI consulting cost
The cost of AI consulting depends heavily on the scope and objective of the project. An initial workshop or a potential analysis can be realized with a manageable budget.
When it comes to specific product development or the introduction of an AI agent into existing systems, the effort and investment are correspondingly higher.
The important thing is that we calculate transparently and modularly. You remain in control and can decide step by step how far you want to go.
We support you in selecting suitable services and AI tools that are optimally tailored to your individual requirements and processes. Many of our customers start small - and grow with the project and its success.
What is an AI strategy?
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, governance and the ethical use of AI.
AI strategies are crucial for ensuring the integration of AI technologies into business objectives, taking regulatory requirements into account and minimizing risks when using AI solutions. Especially with regard to the EU AI Act, it is important to include compliance with EU legal frameworks and compliance requirements in the development and implementation of AI strategies from the outset.
Without a well-founded AI strategy, there is no common thread. The result: isolated solutions, outdated models or tools that nobody uses. With a clear strategy, on the other hand, AI becomes plannable, scalable and sustainable - an integral part of your digital transformation.
What are AI agents?
AI agents are software-based systems that perform tasks largely autonomously. AI systems play a central role in the integration into company processes, as they offer a wide range of possible applications and open up enormous potential for increasing efficiency in various areas. They analyze information, make decisions and communicate - with people or machines. It becomes particularly exciting when such agents are embedded in company processes.
What is machine learning?
Machine learning (ML) is the driving force behind many AI applications. Whether for predicting customer behavior, classifying documents or detecting fraud patterns - ML makes systems intelligent by learning from data.
At FIDA, we use machine learning specifically where it brings real added value. Our fraudify solution, for example, analyzes image materials for irregularities that could indicate manipulation and fraud and learns with every scan. GPT4YOU is also based on learning models that are operated in a secure, in-house environment - a decisive advantage over public AI services.
Some of our AI use cases at a glance
Our projects show how versatile AI can be. The targeted development and implementation of specific use cases is crucial to a company's success, as they create concrete use cases and enable measurable results. In various areas, AI solutions and use cases support the integration and exploitation of the potential of AI systems in order to make processes more efficient and open up new opportunities. In particular, the use of real-time data and the ability to react to changes in real time play a central role in the optimization of business processes through AI.
Introducing our AI consultants
The quality of AI consulting stands and falls with the people who shape it - and at FIDA, these are real experts!
Our AI teams of experienced experts work closely together to develop and successfully implement innovative AI solutions. The close cooperation in teams promotes the efficient development and implementation of AI strategies and increases the analytical competence in the company.
Our AI consulting team combines in-depth technological expertise with methodological knowledge, didactic strength and project experience. Our AI experts share their experience, conduct targeted training sessions and convey relevant content and topics in order to provide our customers with the best possible support.
Many of our consultants are also trainers at the Fidacademy and contribute their expertise from research, development and teaching directly to customer projects and training courses.
A look behind the scenes: Our experts in conversation
What drives our AI consultants? What do they think about current developments in artificial intelligence, and what really matters in practice?
In our interviews, FIDA's experts provide exciting insights into their work - from specific project experiences and questions relating to generative AI.
Christoph Ehrling - Lead Data Scientist bei der FIDA
Interviews with our experts
What they all have in common: the ambition not only to 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.
Conclusion: It's time for AI, digitalization and new technologies
Artificial intelligence is not an end in itself - it is a tool that works where it is strategically planned, sensibly used and responsibly supported. This is precisely our claim at FIDA: we do not provide abstract advice on technology, but work with you to develop solutions that deliver measurable benefits - in industry, SMEs and public administration.
Our strength lies in the combination of sound technical expertise, years of project experience and a team that not only understands AI, but can also 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.
Fancy tackling AI in concrete terms? Whether you are just considering how AI could be used in your company or are already pursuing concrete project ideas - we will accompany you from the initial impulse to successful implementation. If you are curious about how artificial intelligence can be used sensibly and safely in your organization, please get in touch with us or find out more about our training courses and workshops on AI. We look forward to getting to know you.
FAQ - What makes a good AI consultancy?
An AI strategy defines how artificial intelligence should be systematically used in a company - technically, organizationally and culturally. It includes use cases, data quality, IT infrastructure, governance and ethical aspects to ensure that AI is implemented sustainably, scalably and with real added value.
The process usually begins with a workshop or an analysis phase to understand the status quo - i.e. existing data, processes and challenges. Suitable AI use cases are then identified and a proof of concept may be carried out to test initial solutions. If this is successful, a scaled implementation follows, including training, organizational integration and continuous adaptation.
Use cases should pursue realistic goals, fit into existing structures and bring measurable added value. It is important that existing data is sufficient and of high quality, and that technology, processes and employees are taken into account. Risks and regulatory requirements such as the EU AI Act should also be examined at an early stage.
Decisive factors are: clear responsibilities and roles, good communication and training of employees, adaptation of work processes, a change in corporate culture towards data-driven decisions as well as governance and compliance mechanisms that ensure don't harms and security.
Through transparent target definition, modular planning (e.g. with small pilot projects), measurable key performance indicators (KPIs), regular evaluation and optimization. Projects should be technically feasible and economically viable, and the solutions must be able to be integrated into existing systems and processes in the long term.
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.
