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Data Integration
Giving AI safe access to your systems: from chatbots to agents
When a chatbot answers questions from your policy documents and gets one wrong, the harm ends at a bad answer. An agent that can update your CRM, raise a purchase order or email a customer can make mistakes inside your…
#ai-agents#model-context-protocol#integration-architecture#ai-governance#least-privilege
Entity resolution at scale: deterministic first, LLM for the tail
Most organisations we work with hold the same customer three or four times. The CRM has one copy under a trading name. The finance system has another under the registered company name, and a third came in from a web…
#entity-resolution#record-linkage#llm#data-quality#master-data
Code-first integration with Centazio: why we built an open-source alternative to drag-and-drop iPaaS
Integration projects often go the same way. A team buys an iPaaS subscription, drags a CRM connector onto a canvas and wires it to the finance system. By Friday, records are flowing. Six months later the canvas has…
AI-Ready Data and Integration: the series
Every AI system we have put into production has started the same way, and the first few weeks had nothing to do with models. They went on connecting systems that were never designed to talk to each other, working out…
#data-integration#centazio#data-quality#entity-resolution#data-governance
Your AI is only as good as your data: why integration comes first
Almost every stalled AI pilot we get called into looks the same from the inside. The model was fine. The demo worked on the sample extract. Then someone pointed it at production and the answers stopped matching what the…
#data-integration#master-data#ai-readiness#centazio#data-quality