Aquifer ships a ChatGPT Action that exposes your operational data to OpenAI's ChatGPT. Configure it once in a Custom GPT or directly in your ChatGPT workspace, and your team can ask questions about Procore projects, Sage commitments, ArcGIS data, and document archives from inside the AI tool many teams are already paying for. Works with ChatGPT Plus, Team, and Enterprise plans.
Ask ChatGPT for status across Procore + Sage + ArcGIS in a single question — "Show me every change order over $50k posted to Sage in Q1, with the corresponding Procore commitment." One query crosses what used to be three separate logins and an Excel pivot.
Build a Custom GPT that queries your proposal and bid archive in Aquifer and drafts new proposals in your team's voice and pricing structure. The Custom GPT reads your historical proposals, bids, technical specs, and pricing data through Aquifer; ChatGPT generates the draft; your team edits and submits.
Vector-indexed document content in your Aquifer datastore is queryable through the same ChatGPT Action — no separate vector database, no duplicate retrieval pipeline. Your structured data and unstructured text live in one place and answer through one query layer.
Roll out a Custom GPT to your ChatGPT Team or Enterprise workspace; every user can query operational data without learning a new tool. SSO, per-environment configuration, and audit logging through Aquifer's query layer.
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