Posts about enterprise
-
Enterprise AI Agents: The Transformation Is Organisational, Not Technical
The companies that win with AI agents aren't deploying the most agents — they're redesigning their organisations to work with them.
-
The MTEB Leader Barely Beats a Free Model on Agent Memory
I benchmarked 10 memory backends and multiple embedding models on actual agent memory retrieval. The results challenge common assumptions about what matters.
-
Your Agent Pays the Cold-Start Tax Every Morning
Agent memory isn't knowledge management. It's performance infrastructure — and the gap between a stateless agent and one that accumulates context is measurable.
-
The Knowledge That Disappears When You Try to Capture It
Enterprise AI keeps promising to capture institutional knowledge. The most valuable kind resists capture by design.
-
Why Nobody Benchmarks Memory
The things that matter most in production are the things that get benchmarked least
-
AI Agents Need Notebooks, Not Just Memories
The missing layer in enterprise AI isn't smarter models — it's structured memory that humans can actually review.
-
Enterprise AI Has a Plumbing Problem, Not a Model Problem
Most enterprises are optimising the wrong variable. The gap between 5% and 40% agent adoption won't be closed by better models.
-
From Chatbots to Event Loops
The shift from agents you summon to agents that watch. Enterprise AI workflows are becoming continuous loops — and the failure modes are different.
-
What MCP Actually Changes for Enterprise AI
Not better function calling — decoupling. When tools expose MCP servers, any agent can compose any system freely. The heterogeneity problem becomes a configuration problem.
-
When the Platform Is Mature, the Architect's Job Changes
The hardest phase of AI architecture isn't building the stack. It's the moment after the stack is built and eighteen teams start making independent decisions on top of it.
-
Don't Ask Your AI to Find Problems
Ask for bugs and you'll get bugs — whether they exist or not. Sycophancy is a design feature, and the fix isn't better prompting.
-
AI Agent Frameworks for Enterprise FS: What Actually Works vs. Hype
Most enterprise AI agent pilots in financial services fail at the same point: the second tool call. The problem isn't the framework.