The Co-Intelligence Company.
Software development, AI and clouds - Consulting and project management.
Oldschool respekt und attention.
25 years of expirience. Modern and legacy business applications, embedded software, clouds and AI.
Classic and agile: Scrum, ASPICE, CMMI, IPMA, ITIL. TISAX, BSI IT security.
Feel free to contact us anytime!
Practical support regarding methods, planning, and execution. We adapt our approach to your environment – not vice versa.
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Scrum implementation
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ASPICE implementation
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Project planning
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Process analysis
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Project management
We guide you through the adoption of Artificial Intelligence – from potential analysis and technical implementation to data protection and compliance.
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AI Knowledge Management
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On-premise AI solutions
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Integration of AI into your applications
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AI potential and feasibility – capabilities, limitations, and associated costs
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AI strategy and technology consulting
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AI Security, Compliance & Data Protection
Workshops and coaching tailored to your team – focused on real-world projects, practical application, available methods, and long-term impact:
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Risk management in software development
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Management and coordination of development teams
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Project planning
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Microsoft Project
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Requirements control (or Requirements management)
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Quality management
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Development methodologies
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ASPICE
Ciqualia Business Lines
Can AI be used for business? Right now, in Q4 2025? Is it secure? How do we ensure the AI doesn’t hallucinate or make mistakes?
Ciqualia offers pragmatic AI solutions and services to increase business efficiency. This includes AI integration, technical planning, and the development of tailored, AI-powered solutions
Can Ciqualia really deliver software on time, on budget, and to the required quality standards?
We begin with commitments and milestones, planned in tools like Atlassian Jira or Azure DevOps. Everyone—whether on our team or yours—should know exactly what we are delivering, when, and to whom. The entire company is aligned to achieve these goals.
Requirements. The essentials—core features, interfaces, formats—are documented, traceable, and linked to acceptance criteria. Think Atlassian Confluence, augmented by our own AI-powered knowledge toolset that makes everything connected, available, and easily retrievable.
Behind the scenes, release and configuration management ensure that Bills of Materials are tracked—knowing exactly which libraries, frameworks, and environments are used—in a versioned, reproducible, and auditable manner using Jenkins, Microsoft Bicep, and Azure Pipelines.
Finally, monitoring and support. With Grafana, Loki, and Azure Monitor, we detect issues before users notice them and trace them back to the root cause.
That is how we do it.
*All solutions were implemented in weeks, not years*
An automotive company was using a robust PLM solution with thousands of interconnected documents and data records to manage traceability, baselines, and variants. However, despite the thorough documentation, finding answers to customer and partner inquiries—and ensuring comprehensive, high-quality delivery and support—was extremely difficult. There was simply too much documentation. At least for humans.
We proposed integrating the PLM solution with an AI-based knowledge management system using locally hosted LLMs to ensure data confidentiality. While the massive data volumes required significant server power, the results were compelling: Software, system, and quality engineers could simply ask questions via chat and receive comprehensive answers complete with references, hyperlinks, and document excerpts.
Within seconds, they obtained information that previously took days to gather—with no guarantee of success.”
A software company used Atlassian Jira and Confluence to manage internal processes, as well as customer inquiries and user documentation. As expected, however, end users preferred calling support rather than reading the documentation or checking ticket updates directly in Jira. This resulted in a significant—and often counterproductive—strain on the support team.
We proposed implementing a customer assistant to answer questions directly. ‘Why is Option A disabled?’ – Here is the explanation, complete with a reference to the documentation.
This approach is significantly more efficient for both users and the support team. Since the majority of routine questions are answered immediately, people can focus on the tasks that truly require human attention.
What is the typical output of a consultancy conducting analyses for its clients? Correct—presentations, documents, and Excel spreadsheets. Business as usual. But is that really what clients enjoy wading through? Hardly.
What if we created a solution where clients could ask questions directly—about analysis results, methodologies, or terminology—while also receiving relevant, supplementary information from the web?
That is exactly what we implemented—and our clients experienced a completely new level of consulting deliverables!
When software projects get chaotic – we bring in structure.
everal companies approached us with similar challenges: many projects, many clients, and many tools—Jira, Confluence, Microsoft Project Server. Yet no one could instantly answer the most important questions:
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What needs to be delivered, to whom, and when?
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What is the current status?
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Who is falling behind, and where are things running smoothly?
Our first step was always the same: Create order on paper—not in the tool.
Because if every project is managed differently, no system in the world can help you.
We defined a common foundation—key questions that every project manager must be able to answer. Only then did we configure the tools to support exactly that process.
Ultimately, it wasn’t about the tools themselves. It was about ensuring the right information was available, consistent, and comparable—in dashboards, reports, and management overviews.
This turned many isolated views into one clear picture: The actual health of our projects—today, not someday.
Tenders, RFIs, and RFPs—whether public or private—are everywhere, yet never in a single location or a uniform format. We have developed a solution that scans relevant websites and extracts data from both user interfaces and APIs using tools like Playwright, SOAP UI, and Postman.
Once extracted, the data flows through our AI-powered analysis engine, which not only filters for relevant opportunities but also explains exactly why an item was selected or rejected.
For promising tenders, we dive deeper—checking what is immediately available in our portfolio, identifying gaps, and analyzing the critical details in the fine print: conditions, deadlines, and contract clauses.
Finally, our AI response module helps complete questionnaires—often comprising hundreds of questions—in minutes rather than days.
