AI consulting for your successful entry into artificial intelligence
Data is now a key success factor – whether in production, administration, or customer contact. A well-thought-out AI strategy helps to exploit this potential in a targeted manner: processes can be optimized, decisions made on a more informed basis, and resources used more efficiently. This opens up great opportunities, particularly in AI consulting for small and medium-sized enterprises. Structured data management is also indispensable for resource-efficient corporate management.
This is where data mining comes in – the computer-assisted analysis of large amounts of data using statistical methods and artificial intelligence. This allows patterns and trends to be identified that can be used for process optimization and market-oriented decisions. This is exactly where our AI consulting comes in: We support you in building relevant skills in dealing with AI and accompany you on the path to successful implementation – especially in the context of in-depth AI consulting. The new EU AI Regulation (AI Act) underscores how important it is to address this issue at an early stage.
Service modules for the AI strategy: structured for a customized roadmap
With our AI consulting and “AI strategy” service, we support your company in making a structured and targeted entry into artificial intelligence. Together, we develop a customized roadmap that shows where and how AI can be used effectively along your value chain.
We analyze the potential within your organization, define specific areas of application, and prioritize them according to their usefulness and feasibility. Finally, we create a realistic, time-bound action plan that serves as a sound basis for your next steps toward AI-supported processes. This is how our AI consulting becomes a practice-oriented AI strategy that creates real added value, especially for small and medium-sized businesses.
This is how our AI consulting works:
As part of the goal definition process, the overarching goals and the specific framework for action of the AI strategy project are defined at the start of the project in order to establish a clear direction and shared expectations for the further course of the project.
In this work package, the company's existing business processes, organizational structures, and relevant IT systems are systematically recorded and analyzed in order to identify potential areas of application for artificial intelligence and to realistically assess the possibilities for its implementation in an organizational context.
Based on the preceding analysis, concrete potential for the use of artificial intelligence is formulated by identifying processes, tasks, or decision-making areas in which AI can create added value—for example, through automation, pattern recognition, or intelligent decision support.
The identified AI potentials are evaluated in terms of benefits, feasibility, and effort, prioritized, and translated into concrete recommendations for action in order to select those measures that have the greatest strategic and operational added value for the company.
Based on the prioritized recommendations for action, a company-specific AI strategy is developed that defines strategic goals, selected fields of application, organizational requirements, and a clear implementation framework for the sustainable use of artificial intelligence. The strategic foundation gives rise to a customized roadmap for practical implementation within the company.
Possible service packages
Would you like to find out whether your use case can be implemented with artificial intelligence from a technical, economic, and organizational perspective? As part of our AI consulting services, we offer a comprehensive feasibility study in which we work with you to systematically analyze all relevant factors—in a transparent, practical manner and with clear results that serve as a basis for decision-making.
Our services at a glance:
1. Requirements analysis & goal definition: We analyze your initial situation, identify your goals, and work with you to clarify the specific benefits that an AI application can bring to your company.
2. Feasibility study from a technical, organizational, and economic perspective: We examine whether and how your idea is technically feasible, whether it fits your processes, and what economic effects can be expected.
3. Consideration of legal framework conditions (e.g., AI Act, GDPR): We check whether your project is compatible with applicable regulations and point out any necessary measures at an early stage.
4. Data understanding & data analysis (AI potential analysis): We analyze your existing data in terms of structure, quality, and significance—including an initial visualization and evaluation of its suitability for AI models.
5. Project planning & recommendations for action: You will receive a concrete project plan including specifications with time and resource estimates, recommendations for action, and a clear proposal for further steps.
You have successfully tested the feasibility – now you want to put your AI solution into practice? As part of our AI consulting for SMEs, we work with you to develop a customized and ready-to-use AI prototype.
The result is a functional, tested, and comprehensively documented model that meets your specific requirements and lays the foundation for the productive use of your AI solution – practical and future-proof. Our AI consulting service accompanies you step by step on the path to implementation.
Our services at a glance:
1. Decision: Prototype or product development: At the beginning, we clarify with you whether a functional AI prototype is sufficient or whether development should take place directly as a product together with our partner company DeepIng.
2. Definition of target values & handover criteria: Together, we determine when development is complete – including measurable criteria for evaluating model quality, functionality, and user-friendliness.
3. Detailed data analysis & data preparation: We prepare your data in a targeted manner, perform exploratory analyses, and visualize the essential patterns – as a basis for robust AI modeling.
4. AI modeling & quality assurance: We develop, test, and validate suitable AI models (e.g., classifiers, regression models, anomaly detection) – with defined quality gates, validation methods, and performance metrics.
5. Iterative validation with you as the user: In close consultation with you, we integrate your feedback into the development process – to ensure that the solution is practical and understandable.
6. Project handover as a Dockerfile & training: We hand over the complete prototype as a portable software package (Dockerfile) and train your employees in the application and understanding of the model.
Optional: Interfaces & integration into existing systems
On request, we seamlessly integrate the AI model into your existing software or data landscape – for example, via REST APIs, database interfaces, or individual UI elements.
Would you like to transform your AI idea directly into a fully-fledged, maintainable software solution? Building on your individual AI strategy, we accompany you through our AI consulting services until successful implementation.
Together with an experienced development partner, we realize your vision as a robust, scalable application with integrated artificial intelligence. The result: a future-proof software solution with clear documentation, reliable operation, and long-term support.
Our services at a glance:
1. Joint project with software partner DeepIng: Once the feasibility study is complete, we get started right away with DeepIng as our implementation partner. While we develop and train the AI models, DeepIng takes care of the software architecture, user interfaces, interfaces, and maintenance.
2. AI development & validation by IPH: We develop robust, validated AI models (e.g., classification, forecasting, anomaly detection) based on your data and requirements – including quality gates and regular coordination with your team.
3. Software development & integration by DeepIng: DeepIng embeds the developed AI models into a maintainable, production-ready software solution – with a suitable user interface, data connection, and integration into your IT landscape.
4. Maintenance, updates, and support by DeepIng: DeepIng takes over the ongoing maintenance of the solution: bug fixes, updates, adjustments, and support are contractually regulated – for secure and sustainable operation.
5. Documentation, training, and knowledge transfer: You receive detailed technical documentation, practical training, and, if desired, an internal evaluation system for model and system performance.
