Our news and knowledge space where casual wear meets innovative thinking. It is about what matters to us: technology, engineering and the possibilities of digital transformation.
The hoodie has long stood for developer culture: casual and uncomplicated, yet full of complex ideas waiting to be explored. In that spirit, we share a look behind the scenes at NXTGN and knowledge from our work.
Search articles, briefings, whitepapers and technical deep dives. Filter by AI, Microsoft business applications, IoT or product management, from first orientation to project preparation.
A search across all repositories has to determine who is allowed to see what. The easy answer is to search first and filter afterwards. That approach has three gaps, none of which is obvious from the result.
NXTGN AI · English translation
From 9 November 2026, Microsoft will progressively restrict tenants that exceed their Dataverse capacity. Deadlines, affected tenants, options and a checklist.
Capacity Control · English translation
Dataverse or Blob Storage, Power Automate or Logic Apps, Copilot or Foundry: list prices, the multiplexing rule and when each option costs less.
Capacity Control · English translation
Why Dataverse auditing fills log capacity, what auditretentionperiodv2 does, and how to reduce audit storage without losing evidence.
Capacity Control · English translation
Cleanups that free Dataverse storage without additional purchases, with risks, effort and navigation paths. Only measures documented by Microsoft.
Capacity Control · English translation
In established businesses, the same thing has different names depending on the department, location and generation. What that costs in everyday work, and why a shared language is a leadership responsibility.
NXTGN AI · English translation
All the files are there, the search is running, and still nobody finds the answer. Why full-text search in a business reaches a limit that is not obvious from the results.
NXTGN AI · English translation
The largest general-purpose cloud models are often seen as the quickest route to AI in a business. For questions about the company’s own operations, they do not solve the harder part.
NXTGN AI · English translation
The manufacturer’s documentation is in English, but questions are asked in German. Translating it would be the obvious approach. At NXTGN, we decided against it.
NXTGN AI · English translation
Why fluently worded AI answers can bypass our judgement, and the difference between using a tool and knowing how to operate it.
NXTGN AI · English translation
Not every task involving text or data needs AI. A useful case combines a real problem, suitable information, measurable value and manageable error risk.
Dynamics 365 can support many sales, service and marketing processes. Everyday success depends on process clarity, data, ownership and adoption.
Connectivity and hardware matter, but they are not the starting point. A viable connected product begins with customers, value, economics and the process improved by device data.
Microsoft uses the Copilot name for assistants, embedded features and agent platforms. This briefing provides a practical map and identifies the decisions companies actually need to make.
Low code, data platforms and AI change not only tools but responsibilities. Fusion teams combine domain expertise, product ownership and professional engineering.
Digital solutions are not finished at go-live. Someone must continuously connect user needs, business value, technology, data and operations.
A company knowledge system is not another search box with chat. It is a knowledge architecture connecting sources, permissions, retrieval, models, evaluation and real work.
Dynamics 365, Power Platform, Dataverse, Fabric, Power BI, Copilot Studio and Foundry form an architecture for operations, data, analytics and agents when responsibilities are explicit.
Productive AI needs a delivery and operating model connecting use cases, models, knowledge, agents, approvals, evaluation, cost and incidents.
ibc.digital explains how to document IBC cycles using an app, QR codes and tracking. Original guide in German.
ibc.digitalOriginal article in German
From break-fix service to remote support, connected field service and predictive maintenance.
How market, revenue model and customer process shape a connected-product architecture.
RAG, GraphRAG, permissions, evaluation and model routing for trusted company knowledge.
Decision criteria for data protection, quality, latency, cost and operations.
Systems of record, shared master data and clear process boundaries without another data shadow.
Connect roadmap, users, business model, platform and operations beyond the first go-live.
Choose a quick explanation or a detailed deep dive depending on your question. Podcasts and videos will join the Hoodie Club in a later release.
Terms, decisions and common project questions explained without product brochures or buzzword collections.
Detailed material with decision paths, architecture, roles and checklists to read or download.
Expert conversations, short explainers and a look into technology, engineering and our project work.
From new developments in software and AI to architecture and practical experience with business applications and IoT, the Hoodie Club is a place to learn and think further. We write about what we build, test and encounter in projects, including where a technology is not ready yet.
Join us in the world of code, products and digital transformation and discover what makes the work at NXTGN different. Welcome to the club!
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