Use Case
The Deep Search Agent, one of Datagrid's AI agents, assembles RFI responses from connected project files, current revisions, prior RFIs, approved submittals, and project records.
Specs live in the project manual. Drawings sit in connected project platforms. Prior RFI responses and approved submittals are scattered across email threads and shared drives. When a new RFI lands, someone on the project team manually cross-references all three.
That work consumes substantial administrative and technical review time. Slow turnaround is also often associated with worse project outcomes.
The Deep Search Agent, one of Datagrid's AI agents, executes retrieval and cross-referencing between human decisions. Project managers and engineers still review and approve RFI responses. The agent eliminates time spent locating, comparing, and assembling the project-file evidence behind each answer.
The Deep Search Agent interprets the RFI subject, extracts the drawing sheets, spec sections, and submittal references cited by the requesting party, and maps them to connected project files. Single subject, single inquiry. Matched to the right contract scope immediately.
The agent searches across connected specs, drawings, RFIs, and submittals to locate the governing requirements. It prioritizes the latest revisions and flags when an RFI references an outdated drawing or superseded spec section.
Before generating a response, the agent compares the RFI scope against specifications, prior RFI responses, and approved submittals. It flags discrepancies, such as a submittal approved against a spec section later revised by addendum, or conflicting requirements between structural and mechanical drawings.
The agent compiles the spec sections, drawing sheet numbers, and submittal references relevant to the RFI into a structured answer the project team can use to draft the formal response. The project manager reviews the cited evidence, applies engineering judgment, and issues the RFI response with a current search record behind it.
Project specifications organized by CSI MasterFormat division and spec section
Drawing sets including latest revisions, addenda, ASIs, and change order directives
RFIs (Requests for Information) from contractors and subcontractors
Approved submittals and submittal logs with status tracking
Project manuals and connected project files across project files
Precise draft RFI responses with traceable spec and drawing references
Discrepancy highlights where drawings, specs, submittals, or prior RFIs conflict
Identification of compliance gaps between submittals and current specifications
Scope creep and material change identification flagged before responses are issued
Project risk assessment information based on project-file alignment analysis
The Deep Search Agent operates within Datagrid's broader project-file search workflow for built world teams. For RFI response automation, the agent retrieves and cross-references specifications, drawings, approved submittals, and prior RFIs so each search result reflects the current state of connected project files rather than a stale snapshot. The evidence it surfaces can inform downstream decisions, including procurement reviews when substitutions appear, schedule discussions when referenced scope touches critical-path activities, and dispute documentation when RFI logs are revisited as forensic records. Project teams can also pair the agent with drawing comparison and submittal review workflows to surface material changes, scope creep, and compliance gaps across revision sets before conflicts reach the field.
The Deep Search Agent connects to existing project systems and supporting documents, pulling current records into one contract-grounded RFI response workflow.
PlanGrid
Connect drawing sets and revisions so the agent can validate referenced sheets, catch outdated versions, and support traceable RFI responses grounded in current project documents.
Procore
Connect Procore with Datagrid to sync built world project data, automate reporting, RFIs, submittal review, and closeout workflows.
SharePoint
Connect project manuals, specifications, and supporting documents stored in shared libraries so the agent can retrieve the contract-document evidence behind each response.
Slack
Connect Slack to Datagrid and turn workspace conversations, files, and user data into actionable inputs for AI agents that execute cross-platform workflows automatically.
Trimble Connect
Connect coordinated project information and document sets so the agent can cross-reference multiple disciplines when an RFI spans more than one trade scope.
With drawings, specs, submittals, and supporting documents connected, project teams can assemble faster, more defensible RFI responses from current records.
The agent prioritizes specifications and latest approved drawing revisions as the source of truth for every search. Rather than returning keyword matches from unstructured project files, it cross-references the RFI scope against governing spec sections, approved submittals, and prior RFI responses. Statements in the generated draft tie back to a specific spec section, drawing sheet, or submittal log entry. If the agent cannot locate a governing requirement, it flags the gap rather than fabricating an answer.
The agent prioritizes latest revisions across connected project files. When an incoming RFI references a drawing sheet superseded by an addendum, ASI, or revision, the agent flags the version mismatch and routes the draft with the current revision cited.
No. The agent executes project-file search, cross-referencing, and draft assembly. Project managers review, edit, and approve every response. The agent's role is to deliver a defensible starting point grounded in contract files so the PM spends time on engineering judgment and exception handling rather than hunting through spec sections.
The Deep Search Agent compares submittals against specifications and cross-references prior RFI responses to detect where project files are out of alignment. When a submittal was approved against a spec requirement that a later addendum revised, or when two prior RFI responses addressed overlapping scope with different conclusions, the agent flags the conflict with specific references. This prevents the project team from issuing a response that contradicts an existing approved file.
The Deep Search Agent searches across connected project files simultaneously, not one spec division at a time. When an RFI touches structural, mechanical, and architectural scope, the agent retrieves and cross-references relevant requirements from each discipline and surfaces where those requirements interact or conflict. The project team gets a consolidated view of the governing references across divisions in a single search, so they can draft the response without running separate queries for each trade.
Datagrid moves RFI response workflows forward by connecting the latest specs, drawings, submittals, and prior RFIs in one review workflow.
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