Notes from putting AI to work
Practical guides on custom AI software, pilots that reach production, integration with the systems you already run, and AI on the factory floor. Written by the engineers who build it.
- 01Buyer guide
How to choose an AI software development partner: a 12-point checklist
A 12-point checklist for evaluating AI development companies: discovery process, pilot structure, integration depth, ownership, adoption support, and red flags.
- 02Explainer
What is industrial AI? Five applications that work on the factory floor
Industrial AI explained: what it is, how it differs from general AI, and five applications that deliver measurable results in manufacturing, metals, and mining.
- 03Integration
How to integrate AI with the systems you already run, without a rip-and-replace
How AI software connects to ERP, MES, PLCs, cameras, CRMs, and databases you already have, the integration patterns that work, and the mistakes to avoid.
- 04Method
How to find your highest-impact AI use case in two weeks
A two-week discovery method for finding the AI use case with the highest measurable impact: map workflows, score candidates, check data, and pick one to pilot.
- 05Field guide
Why most AI pilots never reach production, and how to run one that does
The five reasons AI pilots stall before production, and a step-by-step way to scope, run, and graduate a pilot so it becomes part of daily operations.
- 06Decision guide
Custom AI software vs off-the-shelf AI tools: when to build, when to buy
When an off-the-shelf AI tool is enough, when custom AI software pays off, and a decision checklist for choosing between build, buy, and hybrid.
Have a use case in mind?
We start with discovery, no assumptions and no pre-sold solutions, and tell you honestly where AI can deliver measurable results.