RFQs Are Rising While Teams Stay Lean in 2026
Construction planning activity closed 2025 strong, with Dodge data showing a sharp year‑end jump that typically leads spending by about a year. That volume pushes more RFQs and RFPs across your desk even if headcount stays flat, so cycle time matters more than ever Construction Dive on the Dodge Momentum Index.
Manual intake still dominates in many technical services and sales ops teams. People hunt through PDFs, reconcile unit conversions, then retype lines into Excel. It works, but it wastes hours you never recoup. You can feel the friction every time you recieve an addendum late Friday.
What “AI for RFQs” Can Do Now
Think of a competent assistant that never gets tired. It reads the RFQ package, identifies scope by division or system, pulls required attributes, and suggests a preliminary bill of materials with notes where information is missing. It then drafts a proposal shell with scope statements, exclusions, and submittal lists that your team can edit.
The model also flags code or spec constraints that affect eligibility, like fire ratings, VOC limits, or wind uplift classes. It will not decide for you. It proposes, you dispose.
The Minimal Inputs You Need
You do not need a perfect PIM. You need decision‑grade data for the product families you quote most often. Start narrow, then expand.
Provide three inputs:
- Product data with decisive attributes and packaging info, including units and conversion rules.
- A small ruleset that captures compatibility, substitutions, and common no‑go constraints.
- A folder of recent winning quotes and submittals to teach tone and structure.
A Safe Human‑in‑the‑Loop Workflow
Treat the model as a drafting partner with audit trails. Route each AI draft to a named reviewer who accepts, edits, or rejects lines, and who signs off before anything leaves the building. This aligns with the oversight patterns in the NIST AI Risk Management Framework where roles and review points are explicit, logged, and testable.
Exports Your Teams Already Use
Keep outputs boring and useful. Generate an XLSX bill of materials with item codes, descriptions, attributes, units, and notes. Export a CSV pickup list for ERP import. Produce a DOCX proposal draft that includes scope, alternates, exclusions, and submittal checklist. Store the evidence pack in the job folder so anyone can see what the model read and why it recommended each line.
Expect Time Savings In Review, Not Magic
The fastest wins come from reducing search and retyping. Industry data updated in January 2025 shows preconstruction and BIM or VDC roles spend roughly 12 to 13 hours each week just finding and reconciling information. Shrinking that hunt time is realistic and measurable with RFQ automation Autodesk Construction blog summary of research.
Track first‑draft time, edit rate per line, and the share of quotes sent same day. Watch error types shift from transcription mistakes to genuine scope questions.
What To Pilot First
Pick one high‑volume system where your catalog is mature, like daylighting, fire‑rated doors, or resin flooring. Feed ten recent RFQs and one fresh package into the workflow. Ask reviewers to tag each AI line as correct, needs edit, or wrong, and to mark the evidence the model used.
In weeks two to four, tune attribute names and unit rules. In weeks five to eight, expand to adjacent families and introduce alternates and substitutions. Keep the approval step strict until accuracy stabilizes.
Guardrails For Specs, Public Bids, And Private Work
Train the model to highlight conflicts and missing inputs rather than guessing. Require a human to resolve any red flags on code, warranty, or structural limits. For public sector work, remember that RFQs, RFPs, and solicitations have specific meanings that drive what you can change and when. If your teams touch government bids, point them to the definitions in FAR Part 2 on Acquisition.gov and lock the workflow so the AI never submits or accepts terms.
Common Pitfalls And How To Avoid Them
Messy units and packaging data cause quantity drift, so normalize units and define conversion rules early. Ambiguous attribute names lead to mismatches, so write a one‑line definition for each decision attribute. Drift in spec language breaks mappings, so retrain periodically using new addenda and post‑award clarifications.
Business Impact You Can Defend
The combination of first‑draft assembly and structured review trims hours from each package and evens out quality across reps. With planning activity elevated heading into 2026, this is a practical way to process more opportunities without adding headcount see Dodge planning trend via Construction Dive. Keep ambitions modest, measure the handoffs, and let the data tell you where to expand next.
