Custom commercial vacancy management software works as a dedicated decision layer on lease data the portfolio already holds. The build joins contract data with turnover, footfall, and clause exceptions to produce early vacancy alerts and contract intelligence. This article covers scope, architecture, frontend, backend, database, APIs, development process, and post deployment support.
Most commercial property management platforms already hold the contract data vacancy decisions require: lease terms, turnover history, expiry dates, and cost allocations. The open requirement is a decision layer for vacancy prediction before formal notice and contract intelligence that flags non-standard clauses before billing or renewal failures. This article maps what major platforms deliver at the contract layer, where that layer stops, and when a purpose-built decision layer belongs on top.
Commercial vacancy costs more than lost rent. Most property management systems record lease events but do not predict them, leaving teams reactive. This article covers the signals, software, and workflows that shift vacancy management from a monitoring task to a planned process.
The primary AI risk in a software company comes from reconstruction, not from overnight data leaks into a public model. A language model can infer secrets from fragments your own teams never connected in one place. This article maps the real risks, the mitigations that work today, and the governance habits that keep human judgment at the center.
Organizations deploying generative AI without structured governance expose themselves to data emergence risks, GDPR violations, and IP ownership gaps that traditional security controls cannot address. The risks compound across legal, competitive, and operational dimensions. This article provides a practical governance framework that gives enterprises control over their data before scaling AI adoption.
A data fabric is an architectural layer that connects data across the enterprise through active metadata, giving teams a unified view without physically consolidating everything into one place. This guide breaks down the core components, from data catalogs to virtualization and governance, and explains how the architecture differs from a data mesh and complements existing data lakes and warehouses. It also covers the main use cases, from analytics and compliance to real-time operations, AI pipelines, and M&A integration, along with the practical steps for building one in phases.
A clean core ERP strategy keeps the standard application code intact by moving all custom logic into a dedicated extension layer, protecting upgrade safety without sacrificing business flexibility. This guide breaks down the five clean core principles, from business process standardization to lifecycle management, and explains why skipping even one lets technical debt find its way back into the system. It also covers the extension model, API-first integration practices, and the compliance metrics organizations need to track to keep their core clean long after go-live.
Application rationalization is the process of reviewing every application in your estate and deciding what to keep, retire, consolidate, or modernize. It brings structure to application portfolio management and ties each tool to real business value. Without a structured way to evaluate the portfolio, technical debt compounds quietly until it limits every modernization effort.
Naive RAG built on vector search and mechanical chunking is now an antipattern in production systems. The question has shifted from which vector database to choose to how to deliver the right context from the right source with the right controls. This article explains what drove that shift and what a mature retrieval architecture looks like today.
An agile ERP ecosystem keeps the core system stable while allowing change through integrations, extensions, and specialized applications. This approach helps businesses scale faster, reduce risk, and improve data flow across operations. A well designed architecture supports modernization without disrupting critical enterprise processes.
Drawn from work on a production facility platform serving multiple vendors, this article describes early authorization symptoms, a proactive stress test of the current model, and a cleaner design framework built on three separate dimensions: operational scope, organizational relationships, and explicit policies for cross-boundary visibility and management rights.
Drawn from work on a production Excel add-in with custom domain functions, this article describes how string-based formula handling carried the first release, where it started to fail as the roadmap grew, and how a compiler-style pipeline with an abstract syntax tree restored roadmap velocity; turning features that previously required fragile string logic into localized tree operations.
Maciej Roszyk
June 25
25 min
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IT Director At PSA Group Germany
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