Blog Articles

How AI is Transforming Incident Reports for Fire Departments

Orlando Diggs
October 28, 2025
5 min read

Fire departments across America are overwhelmed with paperwork. 

While firefighters have trained to save lives and protect property, they're spending countless hours hunched over computers, manually transcribing incident details from memory or fragmented notes. 

With almost a quarter billion 911 calls nationwide every year, that averages out to around 27,400 calls per hour, or 456 calls every single minute. Fire emergency calls are a significant percentage of 911 calls,  averaging around one every 30 seconds. Documenting these incidents has reached a breaking point.

Yet the current manual reporting system, designed decades ago, hasn't kept pace with this explosive growth in service demands.

Fortunately, modern artificial technology has plenty of benefits that can bring fire departments back into the contemporary world, finally providing a real, tangible solution to one of the fire service's most persistent challenges.

The Documentation Burden Crushing Fire & EMS Operations

Today's fire departments operate under crushing administrative demands that extend far beyond the firehouse. 

Every structure fire, medical emergency, vehicle accident, and hazmat incident requires detailed documentation for multiple stakeholders: the National Fire Incident Reporting System (NFIRS), state reporting agencies, insurance companies, legal departments, and billing systems for EMS services.

"Documentation is just a necessary evil," says Brady Robinette, lieutenant with Lubbock Fire Rescue. “And, so, if we could leverage AI to complete like 90% of the documentation, and we would just have to go in there to put the finishing touches on it and make a few corrections, I think it would be a huge improvement. I think it would lend to better patient care.” 

Truth is, people who are trained in emergency medicine do that because they want to help people.

Yet firefighters (and other emergency services like paramedics and police) can spend up to 30% of their time drafting reports manually, often hours after incidents when details have faded and memories have been clouded by subsequent calls.

Plus many departments in major cities also work 24-hour shifts, and report writing burdens can add to sleep deprivation and stress.

The challenge intensifies with complex incidents. 

A single structure fire might require:

  • Basic incident information (location, time, weather conditions)
  • Fire module details (cause, origin, suppression methods)
  • Apparatus deployment and personnel assignments
  • Casualty information and injury reports
  • Property loss calculations
  • EMS patient care documentation if medical treatment was provided

Each module demands precise coding using NFIRS classification systems, with hundreds of data elements that must be accurately completed to ensure compliance and avoid grant funding complications.

Why NFIRS Matters More Than Ever

The National Fire Incident Reporting System isn't just bureaucratic busy work—it's the foundation for data-driven fire service decision-making across America. NFIRS data enables departments to:

  • Track and manage apparatus deployment, personnel utilization, and casualty trends
  • Document the full range of department activities from fire suppression to community risk reduction
  • Predict future issues by analyzing incident patterns, response times, and resource allocation
  • Support training and learning through comprehensive after-action analysis
  • Justify grant funding applications with concrete performance metrics

Over 22,000 U.S. fire departments currently participate in NFIRS, making it the world's largest fire incident database. 

But there's urgency building: NFIRS will sunset in February 2026, transitioning to the new National Emergency Response Information System (NERIS). This transition creates both challenges and opportunities for departments to modernize their reporting workflows.

This means all NFIRS data is due before January 31st, 2026. Is your department ready?

NFIRS compliance directly impacts federal funding access. 

While participation isn't mandatory for Assistance to Firefighters Grant applications, recipients must maintain continuous NFIRS reporting throughout their grant performance periods or risk award modification. 

With millions in annual AFG appropriations at stake, accurate and timely reporting becomes mission-critical.

Where Traditional Reporting Fails Firefighters

Current manual reporting systems create cascading problems that extend far beyond administrative inconvenience:

Inconsistent and time-consuming transcription 

Manual transcription of audio recordings, handwritten notes, or memory recall introduces significant variability. 

Officer A might describe a "two-story wood frame residence with light smoke showing from Side Alpha," while Officer B calls the same structure a "residential building with visible smoke." 

These inconsistencies complicate trend analysis and statistical reporting.

Limited analytical capabilities 

Paper-based or basic digital systems offer little ability to analyze incident data for patterns, training opportunities, or prevention initiatives. Fire departments collect massive amounts of operational data but lack tools to transform information into actionable insights.

Delayed reporting creates backlogs 

During busy periods, reports pile up as personnel respond to subsequent calls. The longer the delay between the incident and documentation, the less accurate and detailed the reports become. Some departments report backlogs of weeks or months, creating compliance risks and operational blind spots.

Resource misallocation 

Poor documentation quality hampers grant applications, budget justifications, and strategic planning. Departments struggle to demonstrate operational effectiveness or community impact without comprehensive, accurate incident data.

AI as a Game-Changer for Modern Fire Departments

Artificial intelligence is revolutionizing fire department operations, with incident report automation leading the charge.

 Modern AI systems can process dispatch audio, on-scene communications, and structured data inputs to generate comprehensive first-draft reports that meet NFIRS compliance standards.

1. First draft report generation

  • Audio-to-text intelligence advanced AI systems capture and transcribe dispatch communications, fireground radio traffic, and EMS patient care interactions in real-time. Natural language processing algorithms understand fire service terminology, medical procedures, and tactical operations to create structured incident narratives.
  • NFIRS-ready documentation AI engines trained on fire service data automatically populate required NFIRS modules with appropriate codes, classifications, and data elements. A report that might take 45 minutes to complete manually can be generated as a first draft in under 2 minutes, ready for review and finalization.
  • EMS integration for the 64% of calls requiring emergency medical services, AI systems convert paramedic voice notes into compliant patient care reports with proper medical coding, treatment justification, and billing support. This improves reimbursement rates while reducing claim denials and processing delays.

2. Searchable, structured notes

  • Play-by-play documentation AI systems create detailed chronologies of incident operations, from initial dispatch through scene control and final clearance. Every tactical decision, resource deployment, and operational milestone gets documented with timestamps and personnel assignments.
  • Enhanced auditability structured data formats enable rapid searching across incident histories. Fire chiefs can quickly identify training needs, performance trends, or safety concerns by querying comprehensive incident databases.
  • Training integration after-action reviews become more effective when AI-generated reports capture detailed tactical information. Training officers can use searchable incident data to develop realistic scenarios and identify best practices for specific situations.

3. Accuracy and consistency excellence

  • Real-time detail capture AI systems eliminate the "memory fade" problem by processing information as incidents unfold. Critical details like response times, personnel assignments, and tactical decisions are captured with precise timestamps and contextual information.
  • Standardized reporting AI ensures consistent terminology, formatting, and data classification across all shifts and personnel. This standardization improves data quality and enables meaningful trend analysis across months or years of incident data.
  • Quality assurance automation Machine learning algorithms identify potential data inconsistencies, missing information, or coding errors before reports are finalized. This reduces compliance violations and improves overall documentation quality.

Benefits Extending Far Beyond Time Savings

While reducing documentation time by 50% or more provides immediate operational benefits, AI-driven reporting creates transformational improvements across fire department operations:

  • Faster turnaround, better readiness - When reports are generated automatically, departments eliminate documentation backlogs and ensure personnel availability for training, prevention activities, and emergency response. Crews return to service faster, improving overall system capacity.
  • Resource optimization - Comprehensive incident data enables better apparatus positioning, staffing decisions, and mutual aid planning. Fire chiefs can use AI-generated analytics to optimize response strategies and resource allocation based on actual call patterns and performance metrics.
  • NFIRS and NERIS preparation - AI systems ensure consistent compliance with current NFIRS requirements while preparing departments for the 2026 NERIS transition. Automated quality checks prevent costly compliance violations and grant funding complications.
  • Enhanced billing accuracy - For EMS services, AI-generated patient care reports include proper medical codes, treatment justification, and comprehensive clinical narratives that maximize reimbursement while reducing billing errors and claim denials.
  • After-action analysis - AI-generated reports provide detailed tactical information that enables thorough after-action reviews. Training officers can identify successful strategies, areas for improvement, and emerging challenges based on comprehensive operational data.
  • Pattern recognition - Machine learning algorithms identify trends across multiple incidents, highlighting training needs, equipment issues, or safety concerns that might not be apparent from individual reports. This proactive approach improves overall department readiness and effectiveness.
  • Knowledge transfer - Detailed incident documentation preserves institutional knowledge and facilitates knowledge transfer between shifts and generations of firefighters. Critical lessons learned from complex incidents are captured and made searchable for future reference.

Conclusion

As Lieutenant Robinette puts it: "If we could leverage AI to complete like 90% of the documentation and we would just have to go in there to put the finishing touches on it and make a few corrections, I think it would be a huge improvement."

This is the future: AI handles routine documentation while firefighters focus on what matters most—saving lives and protecting property. With the 2026 NERIS transition approaching, AI-powered systems offer immediate benefits while ensuring seamless compliance.

Ready to cut reporting time in half?

CLIPr's AI transforms dispatch and fireground audio into NFIRS-compliant reports in minutes. Our system understands fire service terminology, integrates with your CAD system, and delivers the accuracy modern departments demand.

Your firefighters are trained to save lives—let AI handle the paperwork.

Book a Demo with CLIPr Today