Arehsoft
Field notes
The part of shipping AI that nobody demos.
What we learn taking software past the demo and into production — written down for the next team that has to do the same.
Why Your AI Demo Falls Over in Production (and the 6 Things That Break First)
The demo worked in the meeting. Then real users, real data, and real load showed up. Here's what breaks between 'cool demo' and 'our team depends on it' — and how to get ahead of it.
Is Your AI Prototype Production-Ready? A 12-Point Checklist
A straight self-assessment for teams sitting on a prototype that works in the demo but isn't yet something you'd stake a customer on. Score yourself in ten minutes.
What an AI Audit Trail Actually Needs to Pass Compliance Review
'The AI decided' is not an answer an auditor accepts. Here's what a defensible audit trail for an AI system actually has to capture — and how to build it in from the start instead of reconstructing it under pressure.
How to Replace a Legacy System Without a Rip-and-Replace
The big-bang rewrite is the project that kills companies. Here's the incremental cutover pattern we use to modernize systems no one wants to touch — while they stay running the whole time.
Chatbot Demo vs. Working Automation: What Changes When It Has to Run Every Day
A demo that answers questions and a system your team depends on are not the same product — they're barely the same category. Here's everything that has to exist between them.