Tagged: enterprise-software
12 posts
An honest conversation about AI: we're all learning on the job
We're all still learning AI on the job: an honest take on experimentation, ERPx data contracts, governance, and why humanities degrees now matter.
Era of Reasoning
Enterprise software is becoming a system of reasoning that weighs decisions and acts. Its limit is meaning, and the contest is who owns the reasoning layer.
From routing to reasoning - what it really takes to make AI work in enterprise software
Most AI in enterprise software is not reasoning, it is routing with better language. Closing the gap takes a semantic layer, guardrails and vertical depth.
When the Org Chart Stops Organizing
Every company is two graphs, the org chart and the value chain. As agents absorb routing, the chain becomes the one the company runs on.
Interview: Composable ERP may break up monolithic systems
In this Q A, I discuss, with TechTarget, cloud-based composable ERPs, which enable companies to pick and choose the applications and vendors they want, the future.
Five Ways To Decide If Disruptive Tech Is For You
Disruptive technologies can drive a frenzy in boardrooms, with executives seeing dollar signs—or doom—ahead. So, what’s the best way to stay centered and make logical choices when radical change is in the air? The term “disruptive innovation” was popularized in the 1990s by Harvard Business School Professor Clayton Christensen. Much has been written about what it means exactly—and it’s not my intention to debate this here.
The Why Layer: Why Intent Is the Missing Infrastructure of Enterprise Software
Code tells us how a problem is solved. It rarely tells us why. As AI-assisted development accelerates, the gap between behavior and intent is becoming an architectural risk, and closing it requires treating shared intent as infrastructure.
AI and the post-modern, modern data stack
of AI-powered applications and agentic AI is dramatically redefining the demands placed on data stacks. Rather than becoming irrelevant, the modern data stack is a major consideration as organisations…
Ambient ERP – breaking free of the enterprise software triad
Imagine a future where your back-office applications are context-aware, operating in the background, only surfacing what matters when it matters. Thanks to progress being made in artificial intelligence (AI) this is no longer a fanciful dream.
Self-driving ERP systems will end digital drudgery, halving the number of tasks that need manual interventions
Agentic AI is attracting a lot of attention for its ability to behave autonomously and render complex, multi-step processes into seamless wholes by joining up data from multiple sources.
The Philosophy of Self-Driving Enterprise Software – Rethinking How We Build Software
Enterprise systems should support people, not the other way around. Technology should extend human capability, not consume it. For too long, software has demanded that people conform to rigid structures, turning productivity tools into digital bureaucracy. AI-supported systems can reverse this. By operating on context rather than sequence, and relevance rather than rigid workflows, they reduce cognitive load and return time, focus, and agency to the people doing the work. This is not just about efficiency. It is about respecting human judgment, preserving meaning, and building systems that adapt to real work rather than forcing work to adapt to systems
Why Agentic AI Should Be an Evolution, Not a Revolution
U.S. private AI investment grew to $109.1 billion in 2024 – leading to an “AI arms race” in which many businesses scrambled to be the first to announce shiny new capabilities. But did some tech…