Deep Search Agent

The Deep Search Agent helps teams find precise, reliable answers by searching across connected project documents with a strong focus on drawings and specifications as the source of truth.

Overview

It prioritizes spec sections and latest document revisions, cross-references submittals and RFIs against requirements, and highlights discrepancies when documents are out of alignment.

Inputs

Search query
Connected project documents

Outputs

Grounded answers with source references
Relevant document excerpts

Compatible Integrations

MS SQL Server

Connect MS SQL Server with Datagrid for direct AI read access to relational data, enabling automated reporting and workflows.

Stripe

Connect Stripe with Datagrid for synced payments and financial workflows.

Oracle Netsuite

Connect Oracle NetSuite to Datagrid for automated financial data extraction and cross-platform sync with agentic AI.

Databricks

Connect Databricks with Datagrid to streamline data workflows for transformation and delivery across systems.

Google Calendar

Connect Google Calendar with Datagrid to automate meeting data extraction, logging, and workflow orchestration using AI agents.

Monday

Connect Monday with Datagrid to automate data extraction, classification, and cross-board reporting with agentic AI.

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Related Guides

RFI vs RFP in Construction: Definitions, Process, and Where AI Agents Fit In

Learn how RFIs and RFPs differ in construction, how the workflow breaks down at scale, and where AI agents cut through the backlog.

How AI for Construction Project Managers Keeps Documentation Audit-Ready

AI agents handle RFI routing, submittals, and change orders so construction PMs stay audit-ready without working overtime every night.

How AI agents automate zoning compliance checks for construction projects

Zoning compliance review is slow because code and drawings live in separate systems. See how AI agents automate cross-referencing before permit submission.

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