How Consigli Scales Estimating with AI-Assisted Takeoffs

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Consigli Construction Co., Inc. is a fifth-generation, family-run construction manager and general contractor with operations spanning from the Northeast to the Caribbean.

With more than 15 offices and over $4 billion in annual construction volume, Consigli runs a large, distributed estimating operation—often with multiple estimators working simultaneously on complex projects.

For Chief Estimator Tim Ericson, that scale introduced a familiar challenge: How do you keep estimating efficient, consistent, and collaborative across teams, regions, and increasingly complex projects?

Legacy Takeoff Tools Can’t Handle an Enterprise Scale

Before adopting Togal.AI, Consigli relied on traditional takeoff software—namely, OnScreen Takeoff. It worked, but only to a point.

As the company expanded across regions, inconsistencies began to emerge. Estimators in headquarters experienced fast performance, while others working through remote desktop environments dealt with lag, delays, and friction just to complete basic takeoff tasks.

Collaboration was another constraint. On large projects with multiple estimators, workflows became fragmented.

“Our estimating group has around 80 to 100 individuals,” Ericson says.

At the same time, the broader limitation became clear: legacy tools weren’t evolving.

“Before Togal.AI, we used On-Screen Takeoff. I personally have been using it for 25 years,” Ericson says. “While On-Screen Takeoff did what we needed it to do, we didn’t see it making any fundamental changes.”

For a company operating at Consigli’s scale, that stagnation wasn’t sustainable.

Shifting to Cloud-Based, Collaborative Takeoffs

Consigli began looking for a more forward-thinking solution and found it in Togal.AI. The estimating team wanted to go beyond features for a solution that fundamentally changed how estimating work happens across a distributed team.

Because Togal.AI is cloud-based, every estimator, regardless of location, has the same experience. No remote desktop lag. No performance gaps between offices.

More importantly, it unlocked true collaboration. Instead of working sequentially, multiple estimators can now operate in the same project at the same time—reviewing each other’s work, coordinating in real time, and reducing the risk of missed scope or duplicated effort.

“Our estimating group has around 80 to 100 individuals. And any one of us is utilizing Togal.AI at any given moment,” Ericson says. “We really see web-based applications as the wave of the future.”

This becomes especially critical on large, complex jobs where coordination—not just speed—determines the quality of the estimate.

The Impact: Better Estimates, Not Just Faster Ones

While AI automation helps with speed, Consigli most deeply appreciates Togal.AI for the time it gives back to estimators. 

“Clicking on drawings is not where the value is.”

“When we first started using Togal and exploring the AI capabilities, what we were most interested in was seeing how it would save on clicks,” Ericson says.

By reducing repetitive tasks like clicking, tracing, and labeling, Togal.AI allows estimators to shift their focus to higher-value work: understanding the project, analyzing risks, and building a more complete picture of what it takes to build.

“The endgame was not to pump out more estimates,” Ericson says. “It was to afford more opportunity to dig into the drawings and understand the project, so that we could have a smarter, more comprehensive estimate.”

That shift—from manual effort to strategic thinking—has a direct impact on the quality of the estimate.

‍More thorough reviews. Fewer missed details. Stronger confidence in the final numbers.

For enterprise teams managing high-value projects, that’s where the real ROI lives.

Scaling Across Teams and Projects

Consigli’s projects range from smaller jobs to large-scale developments with significant complexity. As project size increases, so does the number of estimators involved—and the coordination required.

With Togal.AI, teams can:

• Work in parallel without stepping on each other’s work
• Quickly validate scope coverage across contributors
• Share live takeoffs with internal and external stakeholders
• Navigate large drawing sets without performance issues

This not only improves internal workflows, but also strengthens how Consigli communicates with partners.

In estimate reconciliations, for example, teams can quickly surface and explain decisions—adding clarity and credibility.

“We’re able to pull it up and show them what we did and why we did it,” Ericson says. “It gives us a lot more credibility.”

Key Features Used by Consigli

Repeating Groups

The Repeating Groups feature from Togal.AI allows estimators to takeoff a unit or assembly once and apply it across multiple instances. Particularly valuable for multi-unit projects, where changes can be made once and automatically reflected everywhere.

Pattern Search (AI-Assisted)

The AI-assisted Pattern Search identifies and quantifies repeated visual patterns—like brickwork—without manual tracing, reducing time spent on repetitive takeoff tasks.

Cloud-Based Collaboration

Cloud-based takeoffs enable multiple estimators to work in the same project simultaneously, with a consistent experience across locations and no performance tradeoffs.

Auto-Naming Drawings

This feature automatically extracts and labels drawing names and numbers, eliminating manual setup and reducing administrative overhead.

Jump To Functionality

This functionality quickly navigates to specific takeoff items across large drawing sets, saving time and improving workflow efficiency.

Why Consigli Chose Togal.AI

For Consigli, the decision ultimately came down to alignment. They weren’t looking for incremental improvements—they were looking for a platform that understood where estimating is going.

“They’re forward-thinking. They’re coming up with solutions to problems that have existed for as long as construction has,” Ericson says.

Equally important, Togal.AI wasn’t built in isolation from the industry.

“We see Togal.AI as a partner for the long haul, and someone that is going to listen to us and grow with us,” Ericson says.

That combination—construction-first thinking with modern, cloud-based technology—made Togal.AI a natural fit.

Enterprise-Ready AI Construction Takeoff Software

As enterprise construction firms continue to scale, the demands on estimating teams only increase: More complexity. More collaboration. More pressure to get it right.

For Consigli, AI-assisted takeoffs aren’t about replacing estimators—they’re about enabling them.

By removing the friction of manual takeoff work, Togal.AI helps teams focus on what actually drives better outcomes: experience, judgment, and a deeper understanding of the project.

And at scale, that’s what wins work.