What Is Predictive Safety Management?

What Is Predictive Safety Management?

Most safety programs wait for something to go wrong, then write a report about it. By the time the report is filed, a worker is already hurt. That model is slow and it costs both lives and money.

There is a better way, and it has a name. It is called predictive safety management, and BiltOn is the Safety Intelligence platform that helps enterprise general contractors (GCs) put it to work. This post explains what predictive safety management is, why it is fast becoming the new standard, and how leading indicators make it work.

You will learn the plain difference between reactive and predictive safety. You will see the hard data behind the shift. And you will get a clear definition of the category, so you can judge any vendor that claims to offer it.

What is Safety Intelligence, and how is it different?

Safety Intelligence is the bigger idea that predictive safety sits inside.

It is the overarching framework and data infrastructure that aggregates, processes, and shares diverse safety data across an organization. It is the "brain" that guides strategic, data-driven decisions.

Old safety software mostly stores paperwork. It holds forms, sign-in sheets, and incident logs. That is useful, but it is passive. It waits for a human to read it and act. Safety Intelligence does something more. It reads field data as it comes in and turns it into a risk decision.

A photo of a certificate can be faked. A sign-in sheet can be filled in by anyone. Safety Intelligence checks that the right worker, with the right training, is on the right site at the right time. That verified record is what an auditor and an insurance underwriter will trust later.

BiltOn is the verified layer between the field and the carrier. It turns what happens on site into proof that stands up to an audit and to an underwriter. We cover the wider category in depth in our guide to how Safety Intelligence turns jobsite data into lower insurance costs. This post stays focused on one discipline inside that umbrella: predictive safety management.

What is predictive safety management?

Predictive safety management the specific application of data and Artificial Intelligence (AI) to actively forecast, prevent, and mitigate hazards. It is the "action" driven by the intelligence against early warning signs to stop an incident before it happens. It is the day-to-day practice of Safety Intelligence.

Think about the difference this way. A reactive program measures the crash. A predictive program watches the road ahead and slows down first. Both track safety, but only one of them prevents the harm.

This shift is why the category is growing. Industry experts now say the future of jobsite safety is proactive, not reactive. Autodesk, a BiltOn partner, points to the same move in its roundup of 2025 construction trends, where builders describe using data and computer vision to flag hazards before they cause harm. Predictive safety management is the enterprise version of that idea, grounded in verified records rather than guesswork.

Why are lagging indicators failing enterprise GCs?

Lagging indicators are failing because they only speak after the damage is done. They are a rear-view mirror. They are honest, but they are always late.

A lagging indicator counts things that already happened. Recordable injury rate. Lost-time rate. Fatalities. Claim costs. Your experience modification rate, or EMR, which is the number carriers use to price your work.

Every one of these is a score of the past. The past is expensive.

The Bureau of Labor Statistics reported 5,070 fatal work injuries in 2024, which means a worker died about every 104 minutes. Construction and extraction occupations accounted for 1,032 of those deaths, more than any other group. Over the long run the trend has climbed. CPWR found that construction deaths rose almost 40 percent between 2011 and 2022, with falls to a lower level as the top cause.

The money side is just as heavy. The National Safety Council put the total cost of work injuries at $181.4 billion in 2024, or about $1,540,000 for each death and $48,000 for each medically consulted injury. Liberty Mutual's 2025 index found that the top ten causes of serious workplace injuries cost $50.87 billion a year, with overexertion and same-level falls at the top of the list.

Here is the problem for a GC. All of that pain shows up in lagging numbers only after a person is hurt and a claim is open. By then you cannot prevent it. You can only pay for it. We break down this trap in more detail in our post on lagging indicators in construction safety.

What leading indicators power predictive safety?

Leading indicators are the early signals that a job is set up to go well or badly. They come before the incident, so you can act while it still matters.

Procore, another BiltOn partner, describes leading indicators as proactive measures that flag risk before it grows, and notes that research shows they predict safety outcomes far better than lagging data. The trouble is that most sites cannot trust their own leading data. A pre-task plan means nothing if no one signed it. A credential means nothing if it belongs to someone who is not on site.

Predictive safety management fixes that by using four verified leading indicators.

• Worker credentials. Proof that this person holds current training for this task.

• Pre-task plans. A signed plan that shows the crew thought through the hazards before work started.

• Safety observations. Field notes on unsafe acts and conditions, logged and tracked to a fix.

• Access events. A verified record of who entered the site, when, and where they went.

Together these four form a live picture of risk. When a worker without the right training tries to enter a high-risk zone, that is a signal. When pre-task plans stop getting signed on a busy floor, that is a signal. Predictive safety analytics reads those signals and raises a flag before anyone gets hurt. Many pre-task plans fail for simple, fixable reasons, which we explain in why pre-task plans fail on jobsites.

The table below shows the plain contrast.

The move from the left column to the right column is the whole point of the category. One column counts harm. The other prevents it.

How does BiltOn make predictive safety management the standard?

BiltOn makes it work by capturing verified leading indicators in the field and turning them into risk decisions a carrier will accept. That is the platform seeding this category.

Start with identity. BiltOn confirms who is on site with 3D facial verification and connected access control, so a GC always knows who is on site and who is compliant. No app is required. Workers onboard in their own language and sign by SMS or browser. This makes access events and credentials trustworthy, not just recorded, and BiltOn reports a 90% faster worker check-in.

Next comes the field workflow. Crews complete pre-task plans and log observations on any device. BiltOn scores the risk behind that data and routes issues to the right person. Clients report a 37% increase in checklist completion and a 50% drop in the time to resolve a safety observation.

Then the record does double duty. Because every event is verified, it holds up under pressure. Archstone used BiltOn's verified records to dispute two fraudulent workers' compensation claims in the Bronx, and moved its EMR from 1.4 to 0.6 over a three-year enterprise journey. That same verified layer feeds the carrier. Across its client base, BiltOn reports a 30% average EMR reduction, a swing that can reach up to $10M per $1B of work across a portfolio.

BiltOn also syncs both ways with Procore and Autodesk, so this leading-indicator data lives next to the tools teams already use. GCs who run those systems can see how it fits in our post on how Procore and Autodesk customers close the safety data gap. BiltOn also led the New York City DOB pilot behind Buildings Bulletin 2024-007, the official approval of digital safety records. Today it serves 1,200+ companies, 3,000+ active jobsites, and 500,000+ workers.

Why is this the new standard now?

The standard is changing because the pressure on GCs is rising from three sides at once. Regulators, carriers, and clients all want proof, not promises.

On the regulator side, penalties stay steep. OSHA's 2026 schedule sets the maximum serious violation at $16,550 and willful or repeat violations at $165,514 per violation. On the carrier side, insurers reward proof of prevention and price against the lack of it. On the client side, owners now ask for safety data before they award work.

There is also a workforce reason. Travelers reported that first-year employees account for 37 percent of construction injuries, and that injured construction workers miss an average of 114 days, the highest of any industry in the report. Verified onboarding and access control speak straight to that risk. They confirm that new workers are trained and cleared before they ever reach a hazard. That is predictive safety management doing its job. For a wider view of the tools involved, see our guide to the best safety management platform in New York.

As Omer Slavin, Co-Founder and CEO of BiltOn, puts it: “See every site, verify every worker, prove every record.”

Request a demo and we will show you how BiltOn puts this to work on your sites, with your counsel in the room. Book a demo at bilton.tech/demo.

Executive takeaway

• Predictive safety management is the discipline of acting on verified leading indicators to stop incidents before they happen. It is the new standard for enterprise GCs.

• Lagging indicators only score the past. The past is costly, with work injuries reaching $181.4 billion in 2024 and construction leading all groups in workplace deaths.

• Four verified leading indicators power the shift: credentials, pre-task plans, safety observations, and access events.

• The moat is the combination. Verified identity, leading-indicator scoring, connected access control, and two-way Procore and Autodesk sync work together, not alone.

• BiltOn is the platform seeding this category, with a 30% average EMR reduction and 90% faster worker check-in (client-reported).

Frequently Asked Questions

What is predictive safety management in construction?

Predictive safety management is a way of running safety that acts on early warning signs before an incident occurs. It uses verified leading indicators, like credentials and pre-task plans, to flag risk in real time. The goal is to prevent harm, not just record it after the fact.

What is the difference between leading and lagging indicators in construction?

Lagging indicators measure things that already happened, such as injury rates, EMR, and claim costs. Leading indicators measure things that come first, such as training completion, signed pre-task plans, and safety observations. Research shows leading indicators predict outcomes better, because they give you time to act.

Is predictive safety management the same as Safety Intelligence?

No, one sits inside the other. Safety Intelligence is the broad practice of turning verified field data into risk decisions. Predictive safety management is the specific discipline of using that data to prevent incidents before they happen.

How do you measure leading indicators on a jobsite?

You capture them at the point of work and confirm they are real. That means verified worker check-ins, signed pre-task plans, logged observations, and access events tied to a real identity. Verified capture is what makes the data trustworthy to an auditor and a carrier.

Can predictive safety lower insurance costs?

It can, because carriers price risk on proof of prevention. Verified leading indicators give underwriters a clearer picture than lagging numbers alone. We cover the insurance side in detail in our post on how Safety Intelligence turns jobsite data into lower insurance costs.

References

Bureau of Labor Statistics. “National Census of Fatal Occupational Injuries in 2024.” BLS, U.S. Department of Labor, 19 Feb. 2026.

CPWR. “Fatal Injury Trends in the Construction Industry, 2011–2022.” The Center for Construction Research and Training, July 2024.

Liberty Mutual. “2025 Workplace Safety Index: Top Ten Causes of Serious Workplace Injuries.” Liberty Mutual Group, 15 July 2025.

National Safety Council. “Work Injury Costs.” Injury Facts, 2024.

Procore. “Leading and Lagging Indicators in Construction.” Procore, accessed 12 July 2026.

Ragan, Jenny. “Top 2025 AI Construction Trends, According to the Experts.” Digital Builder, Autodesk, 8 Jan. 2025.

Travelers. “Injury Impact Report Highlights Longer Recovery Times Amid Declining Injury Rates.” Business Wire, 1 May 2026.

OSHA. “2026 Annual Adjustments to OSHA Civil Penalties.” U.S. Department of Labor, 21 May 2026.