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Pillar 02 · Frontier

AI-Native Platforms

Architecture, not features. What it means to design a platform where AI is embedded as infrastructure — not bolted on as a chatbot. Event-driven design, domain events, AI in compliance and credit decisioning, and the patterns that separate an AI-native platform from an AI-flavoured product.

8
Topics
1
Active series
1
Published pieces
Topic Map
8 topics · Substack + teddoh.io primary · LinkedIn distribution
T-02.01
The difference between an AI feature and an AI-native platform — and why it matters at the architecture level
Published · Jun 1, 2026
T-02.02
Event-driven architecture is the substrate AI platforms need, and most companies aren't building it
Substack
T-02.03
How I embedded AI into a workforce scheduler — three decisions I'd make differently
Substack
T-02.04
Domain events as the data layer that makes AI useful: what that means in practice
teddoh.io
T-02.05
Why most "AI-powered fintech" is just a chatbot sitting on top of twenty-year-old rails
LinkedIn
T-02.06
AI in compliance monitoring: what actually works vs. what sounds good in a pitch
Substack
T-02.07
The multi-tenant challenge for AI: how do you isolate model context per tenant at scale?
teddoh.io
T-02.08
AI document processing is not a feature — here's what it looks like as infrastructure
Substack
Published Pieces
T-02.01 · Jun 1, 2026
The difference between an AI feature and an AI-native platform
Essay · techroadmap.ai · ~8 min
TechRoadmap · Pillar 02 · AI-Native Platforms techroadmap.ai