How to Reduce RFIs in Construction: A Design-Phase Guide

Handling RFIs well matters, but the larger opportunity is preventing them in the first place. A request for information is a formal question raised when construction documents are unclear, incomplete, or contradictory. Even a well-managed RFI costs time: someone drafts it, someone researches the answer, and crews often wait on the response.

The numbers explain why prevention pays. The Construction Industry Institute estimates that 30 to 50 percent of RFIs stem from errors, omissions, or ambiguities in the construction documents, exactly the issues a thorough review can catch before a set is issued. The Navigant Construction Forum has put the average cost to process a single RFI at roughly $1,080, with responses taking close to ten days. On a typical commercial project running ten to fifteen RFIs per million dollars of value, that adds up fast, and the direct processing cost is only the beginning once you factor in schedule slippage and rework.

The takeaway: most RFIs are not site problems. They are document problems that surface on site. Which means most of them are preventable during design.

The most common root causes

Before you can reduce RFIs, it helps to know where they come from. The recurring sources are consistent across projects.

Coordination conflicts between disciplines. One drawing shows a beam, another routes a duct straight through it, a third lists a ceiling height that does not match. When the architectural, structural, and MEP sets are not reconciled, the field finds the conflict the hard way.

Missing or incomplete information. A detail that was never drawn, a schedule left half-filled, a callout pointing to a sheet that does not exist. Crews cannot build what is not specified, so they ask.

Dimension and reference discrepancies. The same element dimensioned differently on two sheets, or tags that do not line up between the plan and the schedule.

Specification ambiguity. Language like "as directed" or "or equal" without clear criteria forces contractors to seek clarification rather than guess.

Design errors that slipped through review. Issues that a careful set of eyes would have caught, but that a rushed or manual review missed.

Design-phase strategies that actually reduce RFIs

Run coordination reviews between disciplines

Reconcile the architectural, structural, and MEP sets against each other before issuing. Clash detection in a BIM environment catches the physical conflicts; a coordinated drawing review catches the documentation conflicts that clash detection misses.

Do a constructability review

Have people with field experience read the set for how it will actually be built, not just whether it is technically correct. A constructability review surfaces the impractical detail or the sequencing problem that generates an RFI the moment a crew reaches it.

Tighten specifications

Replace ambiguous language with clear criteria. Where you use performance language, pair it with enough detail that two different contractors would price and build it the same way.

Issue complete documents

The more decisions you defer to the field, the more RFIs you invite. Resolve coordination and detailing before the set goes out rather than leaving it to be discovered during installation.

Review against your own track record

This is the strategy most teams skip, because it is the hardest to do manually. Your firm's past RFIs and change orders are a precise record of the mistakes your projects actually repeat. The coordination gap that shows up every time. The detail that always draws a field question. If you can check a new set against that history, you catch the issues unique to how your firm works, not just the generic ones any checklist would flag.

Where AI review fits

Manual review is limited by time and attention. A reviewer can read a large set once, maybe twice, and human attention fades across hundreds of sheets. This is why document errors slip through even on well-run projects.

AI-powered drawing review scans full PDF drawing sets and cross-references them: architecture against structure against MEP, drawings against specifications, callouts against the sheets they point to. It surfaces coordination conflicts, missing information, dimensional discrepancies, and code issues, and points each finding back to the exact sheet and detail so a human can verify it quickly.

The more advanced approach goes a step further and learns from a firm's own history. Instead of checking only against generic rules, it ingests that firm's past RFIs, change orders, and standards, and checks new projects against the specific patterns that firm tends to repeat. That is the difference between catching the mistakes everyone makes and catching the mistakes you make.

The bottom line

You will never eliminate RFIs entirely, and you should not try to. But the large share that come from document gaps are preventable, and preventing them is far cheaper than processing them. Coordinate the disciplines, review for constructability, tighten the specs, issue complete sets, and check new work against your own history. The volume drops, the schedule holds, and the field spends its time building instead of waiting.

Tuuli reviews drawing sets using AI trained on your firm's own RFIs and change orders, catching the issues your teams repeat before they reach the field. Get a free review.