Strategy, relief, and modernization for government agencies and organizations
How can artificial intelligence specifically relieve your IT teams and make processes more stable?
The demands on specialized procedures are increasing, complexity is growing, experienced employees are hard to find—and at the same time, ministries, specialist departments, and citizens expect reliable digital services.
At HyTalk Public, we demonstrate in a practical way how AI already supports specialized procedures, improves decision-making, and saves valuable time.
AI that strengthens specialist IT
The HyTalk Public team
Paula Ehrhardt
Vertical Lead Public Sector
Paula Ehrhardt has more than ten years of experience in the IT industry with a clear focus on the public sector. Her expertise includes software development, start-up founding, and strategic consulting. She combines deep technical know-how with entrepreneurial pragmatism and consistently understands technology as an enabler for social added value. Her focus is on the strategic design of the digital transformation of public administrations.
Ralf Böhme
Head of Analytics & AI
Ralf Böhme has been working in IT for over 35 years, focusing on data analysis, data processing, and data-based decision-making. Since 2016, he has been head of analytics at Hyand, where he is responsible for developing modern data platforms and AI-supported solutions, including for the public sector. As a member of the Bitkom Data Strategy & Data Products working group, he is committed to the strategic, beneficial, and responsible use of data and the application of AI in public administration.
What you can expect in our live webinar.
Automated document and application analysis:
How artificial intelligence supports preliminary testing, reduces testing loads, and improves quality
Anomaly detection in mission-critical systems
Early identification of faults and deviations – for fewer errors and greater stability
Self-service chats
Assistance for developers, new employees, and daily operations
Modern data platforms as the basis for AI
Why a future-proof data architecture is a prerequisite for successful AI use cases and which steps public authorities should prioritize now
Relief for specialist IT teams
Less manual routine, more focus on critical tasks.
Better decisions
AI provides patterns, analyses, and support—humans remain centrally responsible ("human in the loop").
Implementation despite staff shortages
AI-supported processes enable speed, quality, and traceability.
Orientation within the regulatory framework
What do the AI Act, transparency requirements, and other regulatory requirements mean for your organization?
Immediately actionable insights
Concrete examples, clear recommendations for action, and a structured path to your first AI use case.
Level up your business:
Secure your place at HyTalk now!
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