AI Bid Review Software: Proven 50% Faster Reviews | Pivotly
Customer story KMSS

Case study: AI bid review software

Read the bid once. Catch what you used to miss.

KMSS ran every bid review by hand, twice. Pivotly PreCon, the AI bid review software that reads the documents first, cut their review time by nearly half and surfaced inconsistencies before the bid went out.

Electrical_Specifications.pdf AI ANALYZED
DIVISION 28
ELECTRONIC SAFETY & SECURITY
2.3  Provide and install (12) IP
      cameras,
2.4  PoE, per Equipment Schedule A-2.

2.5  Coordinate w/ Addendum 3
      revisions before rough-in.
2.6  Access control head-end in IDF.
1 / 60 pages
AI AnalysisAI Chat
Identified items 1,284
28 23 00Video Surveillance
"Provide and install (12) IP cameras, PoE, per Equipment Schedule A-2."
TypeProduct Requirement
Confidence0.98
Sourcep. 28 · A-2
~50% less timeon the first document pass
Reduced errorsbefore the bids went out
More bidspursued with no added headcount
AI bid review software case study: KMSS Security Solutions

Security and technology installation. North Providence, Rhode Island.

Challenge

Every bid's plans, specs, and addenda read by hand. Once to bid, again to scope the award.

Solution

Pivotly PreCon turns bid PDFs into structured data, every value linked to its source.

Outcome

Initial review down nearly half. Inconsistencies caught before bids went out.

01 / the problem

Read once to bid. Read again to build.

Every opportunity arrived as a stack of unstructured PDFs: plans, specs, addenda, equipment schedules. All of it read by hand to build the bid.

Win the work and it started over. The same documents, read a second time to scope the job. The detail lived only in the PDFs and the estimator's head, so no one could skip the pass.

The reading was the bottleneck, and it doubled on every job KMSS won.

Read every page by hand to bid.

Win the job, and the same documents return.

Read every page by hand again to build.

02 / why markup tools were not enough

A markup tool is a better pen. Pivotly PreCon reads the page.

KMSS already worked in tools like Bluebeam. The gap was never markup or measurement. It was extraction: the job of AI bid review software is to turn the documents into usable data in the first place, which is where most bidding software stops.

They did not need a faster pen. They needed the page read for them.

Markup and takeoff tools assume a human is already reading

You still open each document, find the scope, and carry the numbers forward by hand. Then do it again after award.

Pivotly PreCon reads the documents first

Bid PDFs become structured, traceable data before a person touches them. The reading is done. The estimator verifies and moves on.

03 / how precon works

Upload the bid. Get back structured, traceable data.

As AI bid review software, Pivotly PreCon reads every proposal and project document KMSS drops in and hands back data they can work, not a stack of PDFs to re-key. It is one part of everything the latest Pivotly PreCon update added.

Traceability is the point. Every extracted figure links back to the exact page and coordinate it came from, so nothing is a black box.

01

Upload & organize

Proposals and project docs land in a single project, not scattered inboxes.

02

Extract & flag

Dates, risks, and inconsistencies pulled out with AI, conflicts flagged.

03

Verify at the source

Every value links to its exact spot in the PDF, so estimators confirm fast.

04

Work & export

Query the data in AI chat, then export it into the systems downstream.

04 / what changed

Time back, and fewer surprises after award.

The hours saved were the headline. The quality change is what estimators felt day to day. With bid review software reading first, their attention moved from typing to catching the discrepancy on page 40 that used to slip through. Read the full KMSS story.

  • More thorough RFIs. Inconsistencies surfaced early, before they became field problems.
  • Tighter bid pricing. Estimators priced from structured data, not a hurried manual pass.
  • Fewer post-award surprises. The scope pass was already done inside the bid pass.
  • A fit to their scope. The workflow was tuned to KMSS's specific divisions, not a generic template.

It cut our initial time spent reviewing documents by nearly half. Compared to other estimating tools, such as Bluebeam, Pivotly PreCon allows us to automate all aspects of bidding. Overall, it's helped us find inconsistencies in bid documents, create more thorough RFIs and bid pricing, and has allowed us to save valuable time.

JE
Jesse Emerson
Director of Operations, KMSS
answers

AI bid review software: what estimators ask.

QHow much time does AI bid review software save?

AI bid review software cut KMSS's initial document review by nearly half. The gain comes from removing the manual reading pass, not from working faster.

QCan AI read construction specs and addenda accurately?

Pivotly PreCon extracts with traceability. Every value links to its exact spot in the source PDF, and a person verifies it, so nothing is a black box.

QWhat is the difference between takeoff software and bid review software?

Takeoff and markup tools assume a human is already reading the document. Pivotly PreCon reads it first and returns structured data.

QDoes it work for low voltage and security contractors?

KMSS is a security and technology installer. Pivotly PreCon captured their specific divisions across both plans and specification documents.

More bids. Same team. No burnout.

Bring a real bid. We run it through Pivotly PreCon, our AI bid review software, and you watch the output on your own projects. No pitch.

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