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.
A convincing agent demo and a production agent are not the same thing. Here is the engineering that closes the gap: guardrails, evaluation, observability and cost control.
A practical look at where AI actually moves the needle in insurance back-offices — claims intake, document processing, and underwriting support — and how to build it responsibly.
MCP turns your existing ERP, CRM and internal systems into tools an AI assistant can safely use over chat and WhatsApp, without ripping anything out.
Vendor lock-in quietly decides your roadmap and your bill. Here is how DYDD builds custom AI you own outright, with the freedom to swap providers when it makes sense.
WhatsApp is where LATAM does business. Here is how to run AI agents on it that read your real systems, stay accurate, and hand off to humans when it matters.
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.
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.
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.