Workshop – Making legacy system landscapes AI-ready
Is your data ready for AI?
Many companies want to use AI, advanced analytics or data-driven services, but legacy systems, data silos and a lack of interfaces are holding them back.
In our workshop, we analyse your existing architecture and show you how to modernise your data landscape step by step – without a big-bang migration.
The workshop is jointly run by soffico GmbH and solvistas GmbH.
This is how we combine integration platform expertise with data strategy and analytics know-how.
The synergy between soffico and solvistas
Together, we cover the entire journey: from data sources through integration to analytics and AI.
soffico – Integration & Data Flows
soffico ensures that systems communicate with one another.
Key areas:
- Integration of legacy systems and new applications
- Development of modern integration platforms
- APIs and interface strategies
- Data orchestration and automation
Ensuring that data flows reliably and securely between systems.
solvistas – Data Strategy & Analytics
solvistas helps you make the most of your data.
Key areas:
- Data strategy and governance
- Data platforms
- Business intelligence and analytics
- Data science and AI applications
- Data-driven software solutions
Ensuring that data delivers real added value – for decision-making and innovation.
Why this workshop?
Before AI can deliver real benefits, data must be available, understandable and interconnected.
Typical challenges:
- Data is scattered across many systems
- Interfaces are missing or unreliable
- Data platforms have evolved over time
- Business departments struggle to access data
- New use cases take too long to implement
We provide clarity and outline concrete steps towards modernisation.
What we achieve together
- Transparency regarding your data and systems
- Assessment of your data and AI readiness
- Vision for a modern data platform
- Roadmap for the data platform, integration and governance
- Quick wins for initial AI and analytics projects
Who is this workshop aimed at?
- IT managers and enterprise architects
- Data and BI teams
- Those responsible for digitalisation and innovation
- Business departments with reporting or AI plans
- No prior knowledge of AI is required.
Workshop overview
- Data Readiness Check
- What data is available?
- How easy is it to access?
- Which interfaces are missing?
- What is the state of data quality and documentation?
- Architecture Assessment
- Data platform and reporting landscape
- Integration platforms and interfaces
- Legacy systems and data silos
- Cloud and hybrid architectures
- Modernisation rather than complete replacement
- Gradual modernisation
- Identifying quick wins
- Prioritised measures
- Cost-benefit analysis
- Roadmap to AI and analytics readiness
- Target vision for the data platform
- Integration strategy
- Governance approach
- Pilot use cases
The results and the benefits for you
After the workshop, you will have:
- A clear overview of your data landscape
- An assessment of your AI and data readiness
- A list of missing interfaces and data sources
- A target architecture for a modern data platform
- A concrete roadmap with next steps