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8 ways to use AI roofing tools to grow your business

AI roofing

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A wise Redditor once said that roofing is 10% physical labor, 30% crew safety, and 60% fixing things that aren’t on a roof — like scheduling mishaps or insurance claim denials. 

If that resonates with you, you might be looking for ways to run your business better. AI roofing tools can help.

Of course, AI tools can’t take your place. Your judgment and skills are still essential. 

But roofing contractor AI closes the gap between what you can and can’t get done in a day by automating routine tasks — even if you only adopt one or two tools. Plus, early adopters can gain a competitive edge by working faster, safer, and smarter as a team.

Below are eight practical ways to use AI in roofing to save hours of busywork and grow your business.

AI roofing vs traditional roofing methods: What’s new?

AI has — and will continue to — change the roofing industry in many ways. Here’s a quick chart comparing the old and new:

Roofing before AIRoofing after AI
Inspections required climbing on roofs and measuring by handAI-powered software takes roof measurements on your behalf
Takeoffs required hours of clicking and tracing plans manuallyAI generates takeoffs and material lists automatically
Scheduling was done with spreadsheets and phone callsAI tools optimize schedules based on tech skills, location, and job urgency
Calls while on a job and handwritten notes made it easy to lose track of customersAI voice agents, call transcripts, and auto-tagging keep every conversation organized and help avoid losing customers
Manually designing solar-ready roofsAI software automatically generates solar-ready roof designs
Physically installing roof shingles on dangerous roofs by handAI-powered robot installs asphalt shingles in unsafe or hard-to-access areas

Your final work quality will always depend on trained human roofers. But AI can help them move faster and smarter so they can do better, safer work in less time.

8 powerful ways roofers can use AI to work smarter, not harder

Below are eight applications for AI in the roofing industry, starting with one you can implement today:

1. Use AI to take calls 24/7 and avoid missing customers

Imagine you’re up on a roof installing shingles or inspecting damage, when you hear your phone ring — two stories down.

With an AI voice agent like Quo’s Sona, you won’t have to climb all the way down to make sure the call is answered.

Sona is an AI roofing answering service that picks up the phone 24/7 when you’re not available. It can answer FAQs as a call reduction strategy, capture lead information instead of missing their call, and take detailed messages so you can follow up later.

You can also use Sona to easily distinguish between spam calls and real customers, which means you might not need to follow up at all..

For when you do have to follow up, every call Sona answers comes with a detailed transcript and summary embedded right inside each caller’s conversation thread. This gives your team complete oversight into each interaction, so you know what was said and have the context you need.

Quo's Sona AI for the roofing industry

💡Related: Compare the best answering services for small businesses to see how Sona stacks up

2. Use AI to make roof inspections faster and safer

Roofers have one of the highest rates of injury of all occupations, and manual inspections certainly don’t help. They take hours, put workers at risk, and slow down your ability to deliver quotes quickly.

To offset this, you can use aerial roof inspection and measurement software like EagleView. EagleView uses drones to capture property images and precise roofing measurements. Its AI then detects damage and generates reports, allowing you to quickly provide quotes to customers and validate insurance claims.

Since no one needs to get on the roof, EagleView can improve worker safety and shorten roofing project timelines. This ultimately keeps inspection costs low, even when demand spikes and you’re pulled in different directions.

AI roofing tools: EagleView

3. Boost roofing sales by speeding up takeoffs

Manual roofing takeoffs can eat up hours of your week, which can delay bid submissions and make it harder to stay competitive — especially during busy seasons. 

One way to solve this is with an AI roofing takeoff tool like Beam AI.

First, upload your site plans, spec docs, and legends. Then define your scope of work. Beam’s AI takes off quantities for materials like decking, insulation, and vents, before a human quality assurance team reviews the takeoff on your behalf.

Beam AI aims to deliver accurate takeoffs within 24 to 72 hours.

AI roofing tools: Beam AI

4. Automatically record job details to reduce back-and-forths

There’s not always a “best” time to take calls when you’re on a job, so you might find yourself picking up while you’re on the road or on-site. This makes it easy to forget what your customer asked for. In a worst-case scenario, it could result in missed details that delay jobs or lead to billing disputes.

Quo can help keep this from happening with call recording AI tools that capture every phone conversation and voicemail. You can choose to capture incoming calls on demand or automatically record every call on the Business plan.

On the Business and Scale plans, OpenPhone AI will also generate call transcripts and summaries so you can read through each interaction rather than listen to each recording.

Quo's call transcripts and summaries

If you use Jobber, you can also use our OpenPhone Jobber integration to automatically send all call information to your CRM. 

5. Automate invoice drafting and get paid faster

If you don’t yet have a bookkeeper on staff, you might spend way too much time handling invoices and chasing late payments yourself.

The better option is to use Intuit Assist, built into QuickBooks, to help automate the time-consuming parts of invoicing. 

Intuit Assist lets you quickly generate invoices from job notes, website URLs, email messages, and photos. It can also automate payment reminder messages and give clients multiple payment options so they’re more likely to pay faster.

AI roofing tools: QuickBooks Intuit Assist

6. Keep crews organized and calendars full with AI-powered scheduling

Manually coordinating roofing jobs, crews, and routes can lead to wasted time, double-bookings, and missed opportunities to get more work.

Job management platforms like Workiz’s Genius Scheduling can help you automate scheduling and optimize weekly calendars.

Genius Scheduling automatically finds the best time and technician for each job based on availability, skills, and location. It can also automatically fit last-minute jobs into calendar gaps to reduce wasted time and increase daily revenue.

AI roofing tools: Workiz Genius Scheduling

7. Unlock better insights into customer conversations  

When high call volume strikes, it can be hard to know which conversations need your attention. You don’t want to miss calls that require immediate action, like hot leads, insurance adjusters, or unhappy clients.

One solution is using Quo’s AI call tagging to help prioritize follow-ups and keep calls organized.

OpenPhone uses AI to analyze phone calls, then applies relevant tags based on factors like context, sentiment, and keywords. Prioritize calls or assign follow-ups to your team by filtering calls by  tags, topic, or issue using call views.

For example, you might create:

  • Urgency tags to follow up quickly on time-sensitive calls, like “upset customer” or “new lead”
  • Sentiment tags like “negative tone” to flag potential issues early so you can step in before they escalate
  • Topic tags like “insurance issue” or “quote request,” which allow you to sort and assign follow-ups by department or team
AI roofing tools: Quo call tags

8. Design solar-ready roofs faster with AI-powered roof design software

Twenty-eight percent of homeowners have considered installing solar panels, which means more roofing projects may require solar-ready designs. But manually sketching designs can take more time than you have to spend, slowing down the quoting process and even delaying jobs.

You can use tools like Aurora AI to help create layouts more quickly. Aurora is a roof design platform that uses AI, satellite imagery, and LiDAR data to help create accurate solar layouts and reduce the need for CAD work or site visits.

Input the property address and basic energy info,and Aurora AI will generate a 3D roof model in seconds. Then you can use tools like shade analysis, layout planning, and production and pricing estimates to speed up projects for your team.

AI roofing tools: Aurora AI

Improve roofing business communications with Quo (formerly OpenPhone)

OpenPhone web and desktop apps

The physical part of roofing is tough — but the administrative work can be even tougher. AI tools can take repetitive work off your plate so you can spend more time focused on winning bids and finishing projects.

Quo is a great place to start for roofing businesses that want to build better relationships with customers. Manage after-hours calls with Sona, automatically get call transcripts and summaries, and set up AI call tags to organize messages easily. You can also grow your business with non-AI tools like shared numbers, texting automations, and thousands of integrations via Make, Zapier, and our API.

Try Quo free for seven days and bring all your communications  under the same roof.

FAQs

Is artificial intelligence taking over roofing?

No, AI can’t replace skilled, hands-on work like roofing. But AI can help you:
– Take calls 24/7 with AI voice agents
– Evaluate safety during installations or roofing inspections, then provide real-time suggestions if needed
– Speed up estimates with AI roofing software for takeoffs
– Automatically record, summarize, and transcribe calls to capture full conversations with homeowners
– Create invoices automatically
– Streamline dispatching and scheduling with AI-powered project management
– Prioritize follow-ups and organize conversations with call tagging AI technology
– Create accurate solar layouts with AI-powered roof design software

How is artificial intelligence used in roof inspections?

AI can help automate parts of the roof inspection process, making it faster, safer, and more consistent for roofing professionals.
For example:
Damage detection: AI scans drone or satellite images to flag hail, wind, or water damage.
Roof measurement reports: Tools like EagleView use AI to generate precise roof dimensions without humans needing to climb a ladder.
Roofing materials estimate: Determine quantities needed to complete work on a job site.
Historical change analysis: Tracks roof degradation over time to decide whether a customer needs a new roof and when.

What is the future of AI in roof maintenance and repair?

Future advancements in AI roofing tools include:
Predictive maintenance: AI could flag roofs due for service based on age, weather exposure, or material type.
Safety hazard identification: Drones paired with AI can spot issues like sagging structures, missing flashing, or unsafe work conditions before a crew arrives. 
Automated shingle installation: Robots like Rufus can double productivity for asphalt shingle installation and ultimately improve safety for roofing contractors.
AI-powered roof coating: A machine learning framework that automates meta-emitter design could reduce temperatures in buildings by 10°F to over 30°F.

What are the challenges of implementing AI in roofing companies?

Some challenges of implementing AI in roofing businesses include:
Cost and complexity: Many tools require subscriptions or training, which can be a barrier for smaller teams.
Workflow changes: Switching from manual methods to AI systems can be disruptive at first.
Accuracy concerns: AI isn’t always perfect, and human oversight is still needed for a final review.

What are the benefits of AI in roofing?

The biggest benefits of AI in roofing include:
Faster cost estimations and quotes: Tools like Beam AI can help save time doing manual takeoffs.
Lower labor costs: Automating tasks like measurements or scheduling means spending fewer hours on manual work.
Better accuracy: AI-generated roof models and damage assessments help reduce costly errors and avoid the risk of rework.
More jobs per day: Smart scheduling helps fill calendar gaps and can cut back on downtime between jobs.
Less working after hours: Let AI voice agents pick up the phone, answer questions, and take messages until you’re back for the day.
Higher customer satisfaction: Faster, more accurate work can build trust with your customers and help you stand out from the competition.

How accurate are AI-powered roof damage assessments?

AI tools for roof damage assessments are generally accurate, but it depends on the tool and technology used. The best ones offer high-res imagery, LiDAR, drone photos, and trained AI models to improve accuracy.
Just keep in mind that no AI tool is 100% perfect, so you’ll still want humans to give the final say.

Can you use ChatGPT in the roofing industry?

Yes, you can use ChatGPT in roofing to brainstorm new marketing content, create chatbots for websites, or translate instructions from English to other languages.
Just avoid using ChatGPT for estimates, design, safety, and compliance tasks. Those functions aren’t a fit for ChatGPT and could put your customers at risk.

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