Many companies experiment with AI, but few make it into production. NAVAX AI consulting takes you from strategy and governance to implementation in ERP, CRM and data platforms.
Do you recognize your company in one of these statements? Tap it to see what AI consulting changes.
Start where your company stands today. Tap the step you are at right now to see which AI consulting formats fit.
Understand opportunities, risks and relevant developments.
Not assigned to a single step: governance is assessed as part of the readiness check. Not legal advice.
Tailored to your requirements and prerequisites. Choose the stage that fits your company to see the target group, goal and the three steps of that stage.
Companies with no or very little AI experience
Build understanding, recognize potential, take the first steps
Schematic illustration. Steps, formats and stages come from the NAVAX approach; the assignment of formats follows their names and is not a fixed sequence. The three stages of the AI roadmap have their own steps and are not assigned to any of the seven steps above. We clarify where you start in the initial call.
Start where your company stands today, and develop AI step by step from orientation to productive use.
What companies most often want to know before getting started with AI.
AI consulting helps companies use artificial intelligence effectively. At NAVAX, it ranges from strategy and governance to implementation in business processes, ERP, CRM, data platforms and Microsoft-based business applications, from first orientation to a scalable AI solution.
The right starting point depends on maturity, goals, data, processes and regulatory requirements. Work often begins with an executive briefing, a readiness check or a use case workshop. The AI roadmap in three stages provides orientation: discover AI for companies with no or very little AI experience, apply AI for companies with first AI experience or pilot projects, scale AI for companies with AI know-how and clear goals.
Use cases are assessed by business value, feasibility, data availability, risk and scalability. The goal is a prioritized portfolio instead of an unstructured collection of ideas.
Possible areas include sales (prioritizing leads, detecting customer churn earlier), finance (analyzing invoices and receipts, assigning costs automatically), operations and production (forecasting maintenance needs, supporting quality control), retail (forecasting demand, optimizing inventory) and professional services and knowledge work (summarizing meetings, making knowledge easier to find). These are possible areas of application, not standardized products that are available right away. We assess the right use together along your processes and data.
It has four building blocks: AI training at several levels, plus training on the AI Act; the AI workshop; the AI pilot with proofs of concept and the subsequent implementation; and a managed service. Which building blocks you need depends on where your company stands on the AI roadmap.
The AI workshop is for the C-level, business departments and innovation management and takes place on site, with presentation, discussion and pilot specification. It covers an introduction to how AI is built, its theory and models, business AI applications with a demo, a detailed process walkthrough with decision-makers from the business department, developing an AI and data strategy and specifying data management, models and goals. The result is a data and AI strategy and use cases for AI pilots. Possible next steps are an AI pilot or a managed service.
The AI pilot has two parts. In the specification, the process is mapped and analyzed, data is provided, the target variable and potential are determined and an overview of suitable AI models is given; at the end, there is a pilot specification and an implementation plan. On your side, this requires project management and contacts from the business and data teams. In the implementation, the data is prepared and analyzed, models are trained and compared and the results are interpreted. The result is a feasibility study. You provide the data and are available for questions. Only then does the actual AI project follow, with a project stage and milestone plan, detailed AI target performance, data connection, application and integration, test strategy, go-live support, evaluation of the model KPIs and support; its details are defined after the pilot.
Yes. NAVAX supports not only strategy and workshops but also prototyping, integration, go-live, adoption and further development of suitable AI solutions.
NAVAX has extensive experience with Microsoft-based business applications, data platforms and automation. Depending on the use case, Microsoft 365, Copilot, Dynamics 365, Business Central, Azure and Power Platform, among others, can be considered.
NAVAX helps companies build roles, guidelines, approval processes, technical controls and the necessary AI literacy. Regulatory questions are classified together with the responsible internal or external experts. This does not replace legal advice.
Yes. Formats include awareness workshops, AI Academy, AI Compass, AI Labs, communities of practice and practical AI, Copilot and prompting training.
The NAVAX AI Platform is an enterprise AI platform for controlled AI interactions. It connects different models, skills and agents with features for access, governance, monitoring and cost control, including Entra single sign-on and EU hosting, permission concepts and audit logging.
NAVAX SmartCharge is an AI-supported solution for more transparency in fleet cost management. Invoice data is automatically extracted, assigned and prepared for analysis.
AI consulting clarifies what you need. These pages show the technology behind it.
