The technical side: architecture, prompts, evaluation, and the engineering discipline behind AI systems businesses can depend on.
AI features have a cost per use, which most pricing models ignore until it hurts. They also have a failure mode software does not: a small prompt edit silently changing an answer. Metering and regression tests are the unglamorous answers to both.
UpeoXpense turns a WhatsApp photo of a receipt into a validated, posted ERPNext expense. AI reads the receipt; plain, auditable code makes every decision. Here is how it works, the accounting model behind it, the full tech stack, and how to adapt it to your own business - it is MIT-licensed and open source.
Every business owner asks the same question about AI: where does my data go? For Rai the honest answer is nowhere. The reasoning happens on our servers, the data stays on yours, and only computed results cross between them.
Retrieval-augmented generation, explained for people who ship. The architecture, a minimal implementation, and the failure modes that bite in production.
We build the systems we write about - for retail, clinics, workshops and property businesses across Africa. Tell us what you run, and we will tell you honestly where AI would help and where it would not.
