The Life of a Prompt Through the Connect AI Gateway

CData Connect AI Gateway is presented as a system for improving the reliability of enterprise AI queries by resolving business definitions, data sources, permissions, and cross-system relationships before a language model produces an answer. Using a question about mid-market Q3 revenue at risk, it identifies relevant concepts such as segment definitions, fiscal periods, revenue metrics, and account-health signals from systems including Salesforce, NetSuite, ServiceNow, and semantic or derived data views. The gateway classifies intent, selects and restricts available tools, enforces identity-based access and masking policies, and performs deterministic joins through a unified SQL layer rather than asking the model to reconcile raw records. It also routes requests among models through configurable policies, with the argument that richer upstream context can allow smaller, less costly models to answer accurately. The platform claims this process can reduce model context from approximately 200,000 to 9,500 tokens, while maintaining audit logs of prompts, permissions, queries, accessed records, and responses, and storing resolved organizational knowledge in a portable context graph for future queries.

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