Make the right information available to your applications, analysts and AI systems. We scope the data sources, movement, storage and access around what your team needs to do.
Begin with who needs the information and what they need to do with it. Sharing records between two applications is a different scope from bringing many sources together for analysis or AI. We assess the sources, existing storage and access needs before proposing an architecture.
Can you connect data across existing applications?
Yes. We can scope APIs, webhooks or data pipelines around the available interfaces. The work includes deciding how records match, how often data moves and how to detect and recover from failed or incomplete transfers.
How can documents become useful to an AI system?
We can scope document intake, OCR, indexing, embeddings and retrieval as a connected knowledge pipeline. The result needs a path back to its source, appropriate access permissions and retrieval tests based on the questions your users actually ask.
How do we discuss personal or confidential data?
Start by describing the data categories and who should be able to access them. We can scope permissions, handling requirements and boundaries for connected tools with your team. Keep personal records, credentials and confidential documents out of the initial website enquiry.
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Bring the problem. We’ll work through it.
A rough description is enough. If you have technical requirements, bring those too.