Insights
Ideas from the field
Practical notes on data, AI, and building systems that ship.
Building EU-Compliant AI Agents for SaaS Workflows
How SaaS teams ship AI agents on top of CRM and ERP — with human override, audit logs, and EU AI Act documentation from day one.
RAG in Production: A Stack EU SaaS Teams Can Audit
Chunking, hybrid retrieval, citations, and retention policies — the production RAG pattern EU SaaS teams need before legal review.
Messy Data Is Why Your AI Projects Stall — Fix the Pipes First
Scattered spreadsheets and silent API failures kill AI before it starts. How data engineering builds trusted pipelines, governed tables, and BI your models can use.
One Metric, One Model: How to Ship Predictive Systems That Leaders Actually Use
Stop optimising accuracy in a vacuum. Tie ML to one business decision, validate in time, explain outcomes, and design human override from day one.
Intelligent Automation: Embed AI in Workflows Without Replacing Your Stack
AI agents and orchestration on top of CRM, ERP, and tickets — with human checkpoints, audit logs, and measurable hours returned.
Why Internal Search Fails — and How Grounded AI Assistants Fix It
Your team already has the knowledge. What breaks is discovery. Learn how grounded RAG assistants return cited answers from your documents — in your environment.
EU AI Act Readiness: What to Document Before You Ship AI in Europe
Risk classification, data maps, and audit-ready documentation — a practical checklist for teams launching AI under EU rules.
The Psychology Behind Slow AI Adoption (And How Leaders Unblock It)
Competence anxiety, loss aversion, and status games — why smart teams delay AI, and the change playbook that actually works.