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Notes from the ops layer and beyond.
Random rumblings about things that work, things that don't, and how they probably should. Marketing ops, AI automation, CRM, revenue systems. Personal opinions and hot takes from yours truly.
Follow on LinkedInWriting · 12 articles
AI Customer Support Automation: What Actually Works (And What Creates New Problems)
Most AI support bots reduce ticket volume. The question nobody asks upfront is: which tickets, and what happens to the ones the bot does not handle well?
Delano Fernando·August 2026·6 minRead →
Automated Competitor Intelligence: Why Reports Nobody Reads Are a Systems Problem
Ten hours a week on competitor monitoring. Zero decisions changed because of it. The problem was not the effort. It was the format and timing of the output.
August 2026·6 minRead →
B2B Website Personalisation: Why Generic Pages Hurt Conversion (And What to Do Instead)
Every visitor sees the same page. That is not a content problem. It is a data collection problem. Here is how behaviour-driven personalisation changes what a B2B site can do.
August 2026·6 minRead →
Fintech Data Pipeline Validation: Why Your Clients Should Not Be Your QA Team
Clients were catching data errors before the team did. That is the most expensive way to find out your fintech data pipeline has a validation problem.
August 2026·6 minRead →
Building a Stock Market Alert System for a Frontier Market: What I Learned
I built a stock market alert system to solve my own investing problem. The hard part was not detecting the signals. It was deciding which ones were worth acting on.
August 2026·6 minRead →
Programmatic SEO Content with AI: How to Scale Without Scaling the Team
Competitors were ranking on queries where this company had the better product. The gap was not quality. It was volume. Here is what a programmatic SEO content engine actually requires to work.
August 2026·7 minRead →
Event Check-In Software: Why Real-Time Systems Change What Happens at the Door
Most event check-in problems look like a staffing problem. They are actually a data architecture problem. Here is what changes when you build the system correctly.
August 2026·6 minRead →
Event Data Pipelines in Production: What Nobody Tells You
Running 40+ field events per year and manually reconciling the data after each one is a real problem. Here is what rebuilding that pipeline actually involved, and what breaks when you get it slightly wrong.
May 2026·6 minRead →
Company Scouting with AI: The Entity Resolution Problem Nobody Talks About
Building a signal-based company scouting system sounds straightforward until you realise that the hard problem is not finding the signals. It is figuring out that three separate signals are all about the same company.
April 2026·7 minRead →
Lead Scoring That Compliance Actually Loves
Most scoring systems are black boxes. In a regulated environment, a black box is a liability. Here is how we built a multi-dimensional scoring system where every decision is auditable, and why that constraint made it better.
March 2026·6 minRead →
What 150+ Automated Workflows Taught Me About Building AI Systems That Hold
Most AI automation projects fail not because the AI is wrong, but because the system around it was not built to survive contact with reality. Here is what I learned building an ops layer that runs 150+ workflows with fewer than five human handoffs per week.
February 2026·8 minRead →
Lead Routing: What Was Really Broken (And It Wasn't the Rules)
A routing system can look fine on paper and still lose 30% of high-intent leads. Here is what was actually wrong, and how we fixed it without rebuilding everything.
January 2026·7 minRead →No articles in this category yet.
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