“A word that names everything from a chatbot reply to a swarm of self-directing systems has stopped naming anything at all, and the cost of that vagueness lands on whoever signs the contract.” When a Word Means Everything, It Means Nothing Walk through a week of industry announcements and the word “agent” arrives wearing […]
Tag: ai
Demystifying the AI Umbrella: What You Are Actually Buying, Renting, and Building
“The most expensive mistake in enterprise AI is not choosing the wrong model, it is misunderstanding which game you are playing.” What is our AI strategy? The pressure to adopt Artificial Intelligence is immense, and the penalties for inaction feel existential. Yet for many executives, stepping into the AI landscape feels less like strategic planning […]
Why Your AI Agents Are One Update Away from Breaking
An organisation that cannot remember what it decided, or why, is condemned to decide the same things over and over again, each time believing it is the first.
The Memory That Stays. Part 1
An organisation that cannot remember what it decided, or why, is condemned to decide the same things over and over again, each time believing it is the first.
The Planning Tax: Why Your AI Agent Feature Might Be Your Worst Investment
Your best feature may be destroying your margins, and your engineering team has no idea. This article isn’t about AI as a productivity tool. It’s about AI as a cost structure, embedded in your product, triggered by your users, and scaling with your revenue. The AI agents embedded in your product are generating a […]
The Illusion of Knowing: How Generative AI Buries Mistakes in a Mountain of Confidence
“The information you never see is, by definition, the information you cannot evaluate. And when the machine decides what is relevant on your behalf, the missing piece becomes the needle in a haystack you did not even know existed.” The Seductive Logic of the Machine “Something quiet and consequential is happening to […]
The AI Efficiency Trap: Why Architecture Matters More Than Token Windows
The marketing narrative for 2025/2026 is seductive: models offer context windows of 1 million to 10 million tokens. The implication is that you can simply “paste your entire codebase” into the prompt and the AI will reason perfectly across it. The Reality This is operationally false and financially dangerous. Current research identifies a phenomenon known […]
The Shift to Business-to-Agent (B2A) Commerce: Why Your Product Descriptions Are Now Your Most Critical Sales Asset
Research Report, March 2026 | AscentCore This research was conducted by AscentCore using a controlled simulation framework that tests AI agent purchasing behavior across competitive marketplaces. For methodology details, replication data, or to run this experiment on your own product category, contact the authors. 1. The Problem: Your Next Customer Isn’t Human For decades, […]
Why LLMs Can’t Optimize Your Business (But They Can Help You Do It)
Seating 10 people at a dinner table has 3.6 million combinations. If your business is leaving 10% on the table, you aren’t just losing efficiency, you’re missing the kind of gains that translate directly into millions in profit. You are in the right place to fix that. If your business needs are to […]
AscentCore won the Artificial Intelligence award at the European Technology Awards 2025
This has been a remarkable year of growth and success for AscentCore and as the end of 2022 approaches, we’re proud to announce another great achievement: winning the Artificial Intelligence Award at the European Technology Awards!