How to Get Hardware Sets Into Comsense Faster: What Division 8 Estimators Are Using in 2026

Every Division 8 estimator knows the feeling. The takeoff is done. The door counts are reconciled. The hardware sets are assigned. And now the real bottleneck begins: getting all of that information into Comsense or eMullion so it can be priced.

For many estimators, the hardware entry process takes as long as the takeoff itself. The data exists — in the door schedule, in the hardware specification, in the estimator’s notes — but moving it from those sources into an estimating platform is a manual, repetitive, error-prone process that hasn’t fundamentally changed in years.

In 2026, that’s starting to change.

The Hardware Entry Workflow That Most Estimators Are Still Running

The typical Division 8 hardware entry workflow involves five steps, each of which is mostly manual.

First, the estimator extracts hardware set information from the architectural specification. This is often a PDF, and the data’s rarely in a format that can be directly imported. Some estimators use OCR tools or PDF-to-Excel converters. Others type it by hand.

Second, the extracted data gets reformatted. Comsense and eMullion each expect data in a specific structure. The architect’s specification doesn’t match that structure. Column headers are different. Component naming conventions are different. The estimator spends time mapping one format to another.

Third, the estimator cross-references the hardware sets with the door schedule to make sure every door is assigned to the correct set. This is where discrepancies between the spec and the schedule surface — a door assigned to hardware set 107.3 in the schedule but 107.4 in the spec, for example. Each discrepancy requires a judgment call.

Fourth, the estimator enters the data into Comsense or eMullion. Depending on the project size, this can mean hundreds of line items, each with multiple configuration options: hinge count, closer size, kick plate width, finish, function. A single misconfigured component can cascade through the entire hardware bill of materials.

Fifth, the estimator prices the hardware using manufacturer price books. This step is faster inside Comsense or eMullion than it would be manually, but it depends entirely on the accuracy of the previous four steps. Bad data in, bad pricing out.

On a 300-opening commercial project, this five-step process can take a full day. On a 1,000-opening hospital or casino project, it can take several days. And every step is a potential source of error.

Where the Time Actually Goes

The data entry alone can take several hours — and it’s incredibly mind-numbing work. But on top of that, there’s the reformatting, the cross-referencing, and the discrepancy resolution that has to happen before an estimator even opens Comsense.

An experienced Division 8 estimator knows the Comsense workflow well enough to get through it — once the data’s clean. The problem is that the data’s almost never clean. Hardware specifications contain components with missing quantities. Door schedules assign doors to hardware sets that don’t exist in the spec. Hinge counts are unspecified because the architect assumes the estimator will determine them from the door size. Closer sizes are unspecified because the architect assumes the estimator will determine them from the door width and fire rating.

The estimator isn’t just entering data. The estimator is interpreting, correcting, and completing data before entering it. That interpretation layer is where Division 8 expertise lives — and it’s where most of the time goes.

One estimator who’s been in the industry for over a decade built a custom Excel workflow with sorting and filtering macros specifically to speed up this process. It works — for him. But the workflow is locked to his expertise. When a new team member tries to use it, the Excel proficiency gap becomes a training problem. The institutional knowledge embedded in the spreadsheet doesn’t transfer.

What’s Changing in 2026

Two developments are compressing the hardware entry timeline for Division 8 estimators.

The first is AI-powered takeoff tools that produce hardware-ready output. Instead of the estimator extracting hardware sets from a PDF specification, reformatting them, and cross-referencing them with the door schedule manually, a Division 8-specific AI system can perform those steps automatically. Fresco, for example, reads the hardware specification, normalizes the hardware sets into a structured format, cross-references them with the door schedule and floor plans, and flags discrepancies for the estimator to resolve — all before the estimator touches Comsense or eMullion.

The output isn’t a raw data dump. It’s a structured, validated set of hardware assignments with preps automatically generated, components sized based on door characteristics, and hardware sets split where door attributes require it. An 8-foot door that needs four hinges instead of three gets flagged and split automatically. A fire-rated opening that requires an intumescent seal gets the seal added. A kick plate gets sized to the door width. These are decisions that an experienced estimator makes manually on every project. With a Division 8-specific AI, they happen with a single click across the entire hardware package.

The second is direct integration between AI takeoff tools and existing estimating platforms. Fresco offers a one-click export into eMullion’s existing import wizard, which means the estimator’s entire takeoff — hardware sets, component configurations, and pricing — flows directly into eMullion without redundant data entry. For Comsense users, the integration works through a structured Excel export that maps to Comsense’s import format.

The result is that the five-step manual workflow compresses into two steps: review the AI-flagged discrepancies, then export. The reformatting, the cross-referencing, and the manual entry are eliminated.

The Pricing Lag Problem Nobody Talks About

There’s a less visible problem embedded in the current hardware workflow that most estimators don’t think about: pricing currency.

Comsense and eMullion rely on manufacturer price books to generate hardware pricing. Those price books are updated by the manufacturers periodically — sometimes quarterly, sometimes more frequently. But the platforms depend on human teams to review, validate, and load each update. That process takes time. The lag between a manufacturer releasing updated pricing and that pricing appearing in the estimating platform is, at minimum, 30 days.

For most projects, a 30-day pricing lag is acceptable. For projects with long bid timelines or volatile material costs, it introduces pricing risk that the estimator may not be aware of. The estimate looks accurate — it’s based on the price book in the system — but the price book in the system is a month behind the manufacturer’s current list.

AI-driven pricing systems can compress this lag by automating the price book extraction process. Instead of a human team reviewing a 2,000-page manufacturer catalog for each of 30 hardware manufacturers, an AI system can extract, validate, and load pricing updates in a fraction of the time. The result isn’t just faster pricing — it’s more current pricing.

What This Means for Your Workflow

The hardware entry bottleneck in Division 8 estimating isn’t a new problem. Comsense and eMullion have been around for years, and estimators have learned to work around their limitations. But the platforms were built for a workflow that assumes someone else has already done the hard part — the extraction, reformatting, cross-referencing, and error correction that consumes hours on every project before the data even reaches the platform.

In 2026, Division 8 estimators who are moving through hardware entry fastest are the ones who have shifted that pre-entry work to AI systems built specifically for doors, frames, and hardware. Not general-purpose tools that count quantities across every trade, but specialized platforms that understand hardware sets, know the rules for component sizing and set splitting, and can flag the discrepancies that would otherwise surface as errors in the estimating platform.

The takeoff and the hardware entry are becoming a single continuous workflow instead of two separate processes with a manual handoff in between. For estimators who are currently spending as much time entering hardware as they spent doing the takeoff, that integration isn’t incremental. It’s a structural change in how the work gets done.

Fresco is a Division 8 AI takeoff tool that integrates directly with Comsense and eMullion.