Consigli Uses Togal.AI for Takeoffs at Scale

Enterprise estimating doesn’t break because teams are slow. It breaks because they’re spread out, working on increasingly complex projects, with multiple estimators trying to stay aligned under tight deadlines.

At that scale, speed matters—but consistency, coordination, and clarity matter more.

That’s the challenge Consigli Construction Co., Inc. set out to solve.

A fifth-generation, family-run construction manager and general contractor, Consigli operates across more than 15 offices with over $4 billion in annual construction volume. Their estimating team—consisting of 80 to 100 professionals—regularly collaborates across regions on large, complex projects.

For Chief Estimator Tim Erickson, the question wasn’t whether they could produce estimates. It was how to do it efficiently, consistently, and collaboratively at scale. And it’s with that pursuit for a better takeoff solution that Consigli discovered Togal.AI—the fastest, most reliable, most accurate construction takeoff software.

Where Legacy Takeoff Tools Fall Short at Enterprise Scale

Before adopting Togal.AI, Consigli used a familiar tool to many estimators: On-Screen Takeoff. It worked, but only to a point. As the company expanded, cracks started to show.

Estimators in headquarters experienced relatively fast performance. But teams working through remote desktop environments faced lag, delays, and friction just to complete basic takeoff tasks.

On large projects, the issues compounded. Multiple estimators working on the same job often led to fragmented workflows—making it harder to maintain alignment, avoid duplication, and ensure complete scope coverage.

Unfortunately, OST simply wasn’t evolving to meet the challenges Consigli needed to solve.

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

For an enterprise team, that kind of stagnation becomes a constraint. Legacy takeoff tools weren’t built for distributed teams working in parallel. And at Consigli’s scale, that limitation became impossible to ignore.

Cloud-Based Takeoff for a More Collaborative Model

Consigli wasn’t just looking for a better version of what they already had. They were looking for a different way to work. That shift led them to Togal.AI.

Because Togal.AI is cloud-based, every estimator—regardless of location—works in the same environment. There’s no reliance on remote desktops, no performance gaps between offices, and no inconsistency in user experience.

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

More importantly, Togal.AI changed how teams collaborate. Instead of working sequentially or in silos, multiple estimators can operate in the same project at the same time—reviewing each other’s work, coordinating in real time, and staying aligned as the estimate evolves. This becomes especially critical on large, complex jobs, where coordination, speed, and accuracy determine the quality of the outcome.

Togal.AI Lets Estimators Focus on Thinking, Not Clicking

The most meaningful impact for Consigli wasn’t just faster takeoffs. It was what faster takeoffs made possible! After all, clicking on drawings is not where the value is.

Reducing repetitive tasks—like clicking, tracing, and labeling—freeing estimators to focus on higher-value work: Understanding the drawings, identifying risks, and building a more complete picture of the project.

“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,” Erickson says.

But the goal wasn’t simply to move faster.

“The endgame was not to pump out more estimates,” Erickson 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 estimate quality:

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

At the enterprise level, that’s where the real return lives.

Scaling Estimators with Cloud-Based Collaboration 

As projects grow in size and complexity, so does the number of estimators involved. Without the right system, that quickly turns into overlap, gaps, and confusion.

With Togal.AI, Consigli’s team of estimators can:

• Work in parallel without stepping on each other’s work
• Validate scope coverage across contributors
• Share live takeoffs across internal teams

Instead of slowing down under the weight of coordination, the team stays aligned—even as more contributors are involved. That’s a fundamental shift: Collaboration becomes an advantage, not an issue of miscommunication or version control.

Building Credibility in Preconstruction

The impact doesn’t stop inside the estimating team. It carries through to how Consigli communicates with partners, owners, and subcontractors.

During estimate reconciliations, for example, teams can quickly surface their takeoffs, walk through decisions, and clearly explain how quantities were derived.

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

That level of transparency builds trust. And in competitive bidding environments, credibility can be the difference between winning and losing work.

Togal.AI Features: Where the Friction Gets Removed

For Consigli, the value of Togal.AI shows up in the day-to-day workflows that used to slow estimators down.

Some of the most useful Togal.AI features Consigli leverages include:

• Repeating Groups allow teams to quantify a unit once and apply it across multiple instances—especially valuable on multi-unit projects
• AI-assisted Pattern Search identifies repeated visual elements, reducing manual tracing
• Cloud-based collaboration enables real-time teamwork across locations
• Auto-naming drawings eliminates manual setup and reduces administrative work
• Jump-to functionality helps estimators navigate large drawing sets quickly

Individually, these AI-assisted features save time. Together, they remove the friction that adds up across every estimate.

Why Enterprise Construction Firms Choose Togal.AI

For Consigli, the decision was about going beyond incremental improvement. Instead, it was about alignment with where estimating is headed.

“We see Togal.AI as a partner for the long haul, and someone that is going to listen to us and grow with us,” Erickson says. “They’re forward-thinking. They’re coming up with solutions to problems that have existed for as long as construction has.”

That combination—construction-first thinking and modern, cloud-based technology—made Togal.AI a natural fit for enterprise firms.

The challenges facing Consigli are not uncommon. As construction firms scale, estimating becomes more demanding: More complexity, more stakeholders, and more pressure to get it right.

For enterprise teams, the challenge isn’t just speed. It’s maintaining quality, consistency, and alignment across a distributed operation.

AI-assisted takeoffs enable estimators to focus on strategy and expertise, rather than clicking and coloring. By removing the friction of manual work, Togal.AI allows teams to focus on what actually drives better outcomes: experience, judgment, and a deeper understanding of the project. And at scale, that’s what wins work!

‍Interested in starting your own journey with the best in AI-assisted takeoffs? Request a custom demo of Togal.AI today.