Insights & Expertise
Human+AI, data, CRM and intelligent systems: what we learn building and operating, and the studies we publish.
What 18 Months of Human-AI Collaboration at Scale Taught a Barcelona Data Team
In March 2023, our team at a Barcelona consultancy ran a small experiment: route 20% of inbound CRM segmentation requests through a GPT-4 assisted workflow, keep the rest on the standard analyst path, and measure both speed and rework rates. Eighteen months and roughly 3,400 requests later, the AI-assisted path was 2.7x faster on average, […]
Human AI Coexistence Philosophy Business: What Changed and What Still Works
The companies treating AI as a replacement for human judgment are losing ground to the ones treating it as an extension of it. That is the core thesis behind human AI coexistence philosophy business strategy in 2025: the competitive advantage belongs not to organizations that automate the most, but to those that design the sharpest […]
Zero-party Data Strategy Email: The Board-Level Conversation You Need to Have
Most email programs still treat consent as a checkbox. A legal hurdle to clear before doing what they were going to do anyway. But the senders pulling ahead in 2025 and 2026 are the ones who built their zero-party data strategy email programs around a different premise: that the data people voluntarily share with you […]
OpenClaw Is the New OS. Your Next User Is an Agent.
Jensen Huang called OpenClaw the operating system for personal AI. Peter Steinberger says vibe coding is a slur. Karpathy declared agentic engineering the new default. Three signals, one message: build everything as if the next user is an agent.
Email Deliverability Drop After ESP Migration: Diagnosis Checklist from 200+ Audits
An email deliverability drop after ESP migration follows a predictable pattern. Volume goes out on day one, open rates crater by day three, and by week two someone is asking whether the whole migration was a mistake. It rarely is. The problem is almost always a missed step, not a bad decision. This checklist exists […]
When to Hire, Train, or Partner: A Decision Framework for Internal Data Capability
Last quarter I sat with a CMO who had just spent €180,000 on a senior data scientist hire that did not work out. The candidate was strong, the onboarding was reasonable, but the company had no production data pipeline, no MLOps practice, and no clear backlog of problems worth a PhD-level salary. Six months in, […]
Categories
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