RFI & Submittal Triage: Auto-Route & Draft Responses

Tyler, Project Engineer at Pinnacle Construction Services, was managing RFI and submittal workflows across three large federal projects. Every day, new requests came in ,by email, through the project portal, sometimes as PDFs attached to forwarded chains. Each one needed to be read, categorized, routed to the right reviewer, and tracked through resolution.

The volume wasn't the only problem. The routing was manual ,Tyler had to read each RFI, decide which discipline owned it, forward it to the right person, and then follow up to make sure it didn't stall. Submittals were worse: multiple reviewers, staged approvals, and a comment log that had to be assembled from different email threads before a response could be sent back.

"I was spending half my day being a router. Reading things, deciding who they belonged to, forwarding them, chasing responses. None of that required my engineering judgment ,it just required my time."

Tyler needed the classification and routing to happen automatically, and he needed draft responses that were already informed by the project record ,what had been decided before, what the contract said, what similar RFIs had been answered with. He didn't want to start from a blank page every time.

llmcontrols.ai ingested RFIs and submittals from any source ,email, portal export, PDF ,classified them by discipline and request type, routed them to the appropriate reviewer, and generated a context-aware response draft using the project's document library and previous decisions. Tyler reviewed and approved rather than drafted from scratch.

"When the response draft was already there and it was 80% right, I could review and close it in ten minutes instead of spending an hour building the answer from the contract."

Pinnacle's workflow processes incoming RFIs and submittals automatically. The system reads the request, classifies it by discipline and type, assigns it to the appropriate reviewer based on project role configuration, and generates a draft response using relevant project documents, specifications, and prior decisions.

The Setup:

All requests are tracked in a centralized log with status, assigned reviewer, target response date, and resolution notes. Overdue items surface automatically. When a response is finalized, the decision is archived and indexed ,so the next RFI on a similar topic gets a response informed by what was decided before, not reconstructed from scratch.

The Result:

RFI and submittal processing time dropped to minutes. Tyler's days were no longer about routing ,they were about reviewing. Response quality improved because drafts were already backed by the project record.

The Results

• RFIs and submittals classified and routed in minutes, not hours
• Context-aware response drafts generated automatically from project documents
• Centralized tracking with status, ownership, and resolution history
• Prior decisions indexed and surfaced for future similar requests

"I stopped being a router and started being an engineer again. Every response is backed by the project record, not just whoever I could reach that morning."

Pinnacle now processes every incoming RFI and submittal within minutes, with routing handled automatically and response drafts ready for review before the engineer opens the file. Project response cycles are faster and better-documented than they've ever been.

llmcontrols.ai gives AEC firms the infrastructure to classify, route, and draft responses for every RFI and submittal automatically ,without manual triage or starting from a blank page.

• Import RFIs and submittals from email, PDFs, or project management systems
• Classify and route requests to the right discipline or reviewer automatically
• Generate context-aware response drafts from project documents and prior decisions
• Track status, approvals, and resolutions in a centralized log
• Index completed responses so future similar requests are answered faster

The fastest project teams aren't moving faster, they've automated the work that shouldn't require people.