Practitioner articles from the DYDD Technologies (dyddtech) team on the work we do every day: retrieval-augmented generation, document automation with OCR, AI agents, and cloud migration to AWS and Azure.
Retrieval quality, not the language model, decides whether an enterprise RAG system can be trusted. A walk through the pipeline stages that matter — ingestion, chunking, retrieval, and evaluation — and the tradeoffs at each one.
Recognizing text is the easy part; producing data your ERP can trust is the hard part. Why field-level extraction, confidence scoring, and exception-only human review are the pieces that make OCR automation stick.
The difference between a chatbot and an agent is the tool layer. The design patterns we apply in GenAI Composer engagements — scoped tools, approval gates, audit logs, and staged rollout — and the failure modes they prevent.
Small and mid-sized businesses in Latin America face the same migration decisions as enterprises, with far less room for error. How to sequence assessment, landing zone, and migration waves so each step pays for the next.