Mastodawn

A client asked for a server install for a specific CRM developed by one of Italy's biggest software houses. They’re dropping Windows Server 2022 support in a few months, even though the OS itself has a much longer lifecycle.

We looked into Linux support: Rocky Linux 9 and Ubuntu 24.04 are "certified", but only until April 2027. Since we'd rather not reinstall everything in less than a year, we asked for a path that guarantees official support beyond 2027.

The "support" team replied with a canned response, attaching a 2023 document where every single distribution is listed as EoL since 2025. 🤡

And then people ask me why these "software giants" are the primary cause of my receding hairline...

#SysAdmin #TechLife #EnterpriseSoftware #ITProblems #CRM #IT #OwnYourData

BGDon 🇨🇦 🇺🇸 👨‍💻May 7

Beware the software "Lock-In" effect!

New AI agent templates from Anthropic for financial services firms are the thin edge of the wedge for establishing Lock-In by Anthropic - IMHO.

Each template is designed to be "customized" with a firm's internal standards.

This is a the same go to market used by traditional enterprise software vendors (Microsoft, Oracle, SAP, Cisco, etc. etc.) Once created and deployed - these systems are next to impossible to remove/replace!

Deployment "options" complete the Lock-In by tying a company's software environment to the underlying 3rd party provided production infrastructure - which is also a risk to be carefully assessed. https://qz.com/anthropic-ai-agents-financial-services-banks-insurers-050526 #Anthropic #AIAgents #FinancialServices #LockIn #Risk #Customization #AI #Agent #Banks #Insurance #Claude #Software #EnterpriseSoftware

Harald Klinke Apr 30

Agentic AI is reshaping the classic buy or build decision. Not by replacing SaaS across the board, but by shifting the economics and governance of building software. The real change is hybrid: owning code while depending on external AI infrastructure. #agenticai #enterprisesoftware #aieconomics

The Buy-or-Build Decision, Rev...

The Buy-or-Build Decision, Revisited: How Agentic AI Changes the Economics of Enterprise Software

Advances in generative artificial intelligence, particularly agentic coding systems capable of autonomous software development, are disrupting the economics of the make-or-buy decision for enterprise applications. The "SaaSocalypse" narrative predicts that AI will render large segments of the Software-as-a-Service market obsolete by enabling firms to build software in-house at a fraction of historical cost. This paper adopts a conceptual research approach, combining transaction cost economics and the resource-based view with an assessment of current AI capabilities, to systematically re-evaluate the factors underlying the make-or-buy decision. It makes three contributions. First, it provides a factor-level analysis of how AI reshapes seven canonical decision determinants: cost, strategic differentiation, asset specificity, vendor lock-in, time-to-market, quality and compliance, and organizational capability. Second, it develops a typology of enterprise applications by their sensitivity to AI-induced shifts in make-or-buy economics. Third, it demonstrates that AI fundamentally transforms the governance properties of the Make option, shifting it from Williamson's pure hierarchy to a hybrid governance form that combines code ownership with external AI infrastructure dependency, with qualitatively different economics, capability requirements, and governance structures than pre-AI in-house development. The analysis finds that the SaaSocalypse thesis is overstated for most enterprise application categories; Make is most compelling for commodity utilities and differentiating custom applications in the AI era, while regulated and mission-critical systems remain predominantly in the buy domain.

arXiv.org

Harald Klinke Apr 30

Agentic AI is reshaping the classic buy or build decision. Not by replacing SaaS across the board, but by shifting the economics and governance of building software. The real change is hybrid: owning code while depending on external AI infrastructure. Make becomes viable for commodity tools and differentiating layers, while regulated core systems remain in the buy domain.

https://arxiv.org/abs/2604.26482v1

#AgenticAI #EnterpriseSoftware #BuildVsBuy #AIeconomics

The Buy-or-Build Decision, Revisited: How Agentic AI Changes the Economics of Enterprise Software

Advances in generative artificial intelligence, particularly agentic coding systems capable of autonomous software development, are disrupting the economics of the make-or-buy decision for enterprise applications. The "SaaSocalypse" narrative predicts that AI will render large segments of the Software-as-a-Service market obsolete by enabling firms to build software in-house at a fraction of historical cost. This paper adopts a conceptual research approach, combining transaction cost economics and the resource-based view with an assessment of current AI capabilities, to systematically re-evaluate the factors underlying the make-or-buy decision. It makes three contributions. First, it provides a factor-level analysis of how AI reshapes seven canonical decision determinants: cost, strategic differentiation, asset specificity, vendor lock-in, time-to-market, quality and compliance, and organizational capability. Second, it develops a typology of enterprise applications by their sensitivity to AI-induced shifts in make-or-buy economics. Third, it demonstrates that AI fundamentally transforms the governance properties of the Make option, shifting it from Williamson's pure hierarchy to a hybrid governance form that combines code ownership with external AI infrastructure dependency, with qualitatively different economics, capability requirements, and governance structures than pre-AI in-house development. The analysis finds that the SaaSocalypse thesis is overstated for most enterprise application categories; Make is most compelling for commodity utilities and differentiating custom applications in the AI era, while regulated and mission-critical systems remain predominantly in the buy domain.

arXiv.org

Winbuzzer Apr 30

https://winbuzzer.com/2026/04/30/20260430-microsoft-blames-slacks-lackluster-growth-on-infer-xcxwbn/

UK Court Weighs Microsoft Teams Bundling Against Slack

#MicrosoftTeams #Microsoft #Slack #Salesforce #Antitrust #Lawsuits #EnterpriseSoftware #Microsoft365 #EuropeanCommissionEC #EuropeanUnionEU #UnitedKingdomUK #Licensing #Court

Winbuzzer Apr 29

https://winbuzzer.com/2026/04/29/amazon-aws-launches-ai-powered-office-tools-to-ent-xcxwbn/

Amazon Launches AI Productivity Software for Office Workers

#AI #AAWS #Amazon #AmazonConnect #AITools #AIAssistants #EnterpriseAI #Automation #SaaS #EnterpriseSoftware #BigTech

lycore Apr 20

AI is reshaping enterprise software development.
In 2026 it’s not an add‑on — it’s the core of how teams build, test and ship. 🤖

Biggest impacts:
🔍 Specs drafted from stakeholder input
🐛 Real‑time bug detection before production
🧪 Instant, large‑scale automated testing
🏗️ Continuous architecture optimization as code evolves

What used to take sprints now takes days. Details 👉 https://www.lycore.com/blog/how-ai-powered-software-development-is-reshaping-the-enterprise-in-2026/

#AIinDevelopment #EnterpriseSoftware #TechTrends2026 #Lycore

iBallesty Apr 9

https://www.ft.com/content/6fb3105e-d661-4c02-99f2-8f5b14048107?shareType=nongift

Every few years, software is declared “dead”.
This time, it’s AI agents that are supposedly going to wipe out SaaS.

Feels familiar.

AI will be no different. Models can reason, but they don’t understand payroll, supply chains or regulatory close without enterprise software, trusted data and proper governance behind them.

Software isn’t being replaced.
It’s being asked to do far more.

#SAP #AI #EnterpriseSoftware #SaaS

Why the ‘SaaSpocalypse’ doomsayers are wrong

Every major tech platform shift follows the same pattern: short-term pain for long-term gain

Financial Times

Deuex Solutions Mar 25

Java for Secure Enterprise Systems: Why It Still Dominates

Learn why Java still leads in secure enterprise systems. It offers strong security, scalability, and reliable performance. In this blog, Deuex Solutions explains why businesses trust Java for building safe and powerful applications. Read more to explore the full insights.

https://deuexsolutions.com/blog/java-for-secure-enterprise-systems

#Java #EnterpriseSoftware #CyberSecurity #SecureCoding #EnterpriseSystems #TechBlog #ITSolutions #DeuexSolutions