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Use Case

Automate Subcontractor RFI Validation Before Routing

ProductAgentsUse CasesAutomate Subcontractor RFI Validation Before Routing

On this page

Job to Be DoneThe Operational ProblemHow It WorksInputs & OutputsWorkflow ContextWorks WithFAQGet Started

The RFI Validator Agent validates subcontractor RFIs before PM review by flagging duplicates and tagging cost or schedule implications.

👷

Try the RFI Validator Agent

Validate RFIs before submission by identifying trivial requests and flagging cost, schedule, or quality implications.

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The Operational Problem

RFI submissions arrive from subcontractors through email and project management platforms. Some also come through text messages. Each one requires a project manager to screen it against contract drawings and specs, then check prior resolutions. On commercial projects with high RFI volume, that screening workload can consume major staff time before real design review begins.

The downstream cost compounds fast. Some submitted RFIs are not justifiable (~13.2% in this study), while still carrying processing cost and response-cycle burden. Long response times also create schedule pressure when low-quality RFIs enter the queue with legitimate coordination issues.

How RFI Validator Agent Automates This

The RFI Validator Agent executes pre-submission screening. It sits between subcontractor submission and upstream routing. Project teams draft responses and make design decisions.

1

Ingest submissions

The AI agent ingests each incoming RFI with its text, attached markups, photos, and reference callouts. It parses the question asked and the drawing or spec sections referenced. It also captures any proposed solutions.

2

Cross-check project files

The AI agent compares each RFI against current contract drawings and project specifications, then checks the historical RFI log. It flags duplicates and questions already resolved on a previous submittal.

3

Detect unjustifiable RFIs

The AI agent classifies submissions that fall into non-justifiable categories and routes them back to the submitting party with the specific project-file reference that addresses the question.

4

Generate impact context

For qualified RFIs, the AI agent generates a structured context report that tags cost implications and schedule-critical trade dependencies. It also notes quality risks. This report accompanies the RFI when it routes upstream.

Inputs & Outputs

Inputs

  • RFI text and attachments submitted by subcontractors, including markups, photos, and field sketches

  • Contract drawings and specifications organized by relevant CSI division and drawing set

  • Historical RFI log with prior resolutions, including closed, rejected, and superseded submissions

  • Supporting project files such as addenda, bulletins, and approved substitutions

  • Field data and project files relevant to the scope of the RFI question

Outputs

  • Structured validation report per RFI that separates qualified submissions from duplicates or questions answerable from existing documents and cites specific document references

  • Structured return reports for flagged submissions that cite the specific contract document reference, spec section, or prior RFI resolution that addresses the subcontractor's question

  • Prioritized action items identifying cost or schedule flags, plus quality flags, attached to qualified RFIs before they route upstream

Workflow Context

The RFI Validator Agent feeds validated, context-rich RFIs into downstream response drafting and design coordination workflows, where project teams and architects make substantive decisions with structured information rather than raw submissions.

The AI agent also connects into schedule monitoring workflows by flagging RFIs that affect critical-path activities. That data informs impact-flagging logic across connected workflows. Every unscreened RFI that enters the response queue delays resolution of submissions that actually require design team input.

Works With

The RFI Validator Agent fits construction systems teams already use to intake RFIs and manage project files while tracking schedule-sensitive issues.

Procore

Procore

Connect Procore to Datagrid to automate document workflows and sync project financials. Run AI agents across RFIs and budgets.

Oracle Aconex

Oracle Aconex

Integrate Oracle Aconex with Datagrid to automate project file processing and RFI triage using AI.

PlanGrid

PlanGrid

Connect PlanGrid to Datagrid and automate RFI workflows, submittal tracking, sheet sync, and field data processing with agentic AI agents.

BIM 360 Build

BIM 360 Build

Connect BIM 360 Build with Datagrid to automate workflows with AI agents using field data like issues, RFIs, and forms.

A

Autodesk Construction Cloud (ACC)

Connect Autodesk Construction Cloud with Datagrid to extract project data and run AI workflows.

When these systems stay in sync, teams validate RFIs against current project information and route stronger submissions with less coordination.

Frequently Asked Questions

The agent cross-references each incoming submission against the full historical RFI log. It matches drawing references and spec sections, then compares the substance of the question. When a prior RFI addressed the same issue and received a formal resolution, the agent flags the new submission as a duplicate and attaches the original resolution. This prevents repeated review of the same question, and it gives the subcontractor the answer immediately rather than waiting for another full routing cycle.

Project managers retain full authority over routing decisions and response prioritization, including exception handling. The AI agent screens submissions against project files and prior RFIs using routing standards. It checks whether the question is already answered in the project files or has been asked before, and whether it falls within the design team's scope. The agent delivers the screening analysis. The PM decides what to do with it.

[AIA A201-2017](https://www.wisconsin.edu/procurement/download/construction_contracts/A201-2017---220617.pdf) requires the contractor to carefully study and compare the contract documents and promptly report errors, inconsistencies, or omissions as a request for information. The AI agent parses incoming submissions to identify multi-subject RFIs and submissions lacking document references. It flags those submissions for revision before they enter the formal log. This catches quality issues at submission rather than after the response clock has already started.

When subcontractors include proposed solutions within RFI submissions, they may inadvertently accept design responsibility. The AI agent analyzes submission language to identify proposed solutions embedded in what should be clarification requests. It flags these for the PM's review before the RFI routes to the design team.

The structured validation reports the agent generates per RFI accumulate into a dataset that operations leadership can query for submission quality trends and rejection rates by trade. Over time, that data supports review of subcontractor submission patterns and identification of which spec sections generate the highest volume of clarification requests. That information informs both subcontractor management decisions and pre-construction project-file review priorities.

Keep Every RFI Moving with Datagrid

Datagrid gives project teams a consistent RFI validation workflow before unnecessary review cycles consume project time.

  • Submission screening: Validates incoming RFIs against document references and prior resolutions before applying routing standards upstream.
  • Duplicate detection: Flags repeat or previously resolved questions using drawing references and spec sections, plus historical RFI context.
  • Impact tagging: Highlights cost and schedule implications, along with quality implications, so qualified RFIs arrive with the context decision-makers need.
  • Workflow execution: Generates structured validation reports that improve routing consistency and reveal submission quality trends over time.
Try the RFI Validator Agent

Agent

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RFI Validator Agent

Validate RFIs before submission by identifying trivial requests and flagging cost, schedule, or quality implications.

Works with

ProcoreProcoreSharePointSharePointPlanGridPlanGridSlackSlackTrimble ConnectTrimble Connect
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