Chief officers reviewing incident response data on a monitor in a fire department office, showing response time charts and a district map.

Data and AI

NERIS, records management, dashboards that answer a real question, and a clear-eyed look at where AI genuinely helps versus where it adds a confident-sounding layer between a chief and the facts.

Problems
2
Approaches
3
Learning
6
In development
2
Discussions
3

Learning

Learning Lab

What CAD actually does, and what it does not

Dispatch, unit recommendation, status tracking and the interfaces that hang off it — and why the answer to most integration questions is 'that depends on your CAD vendor'.

12 min read

Records management and the move to NERIS

What is changing, what your vendor should already be doing about it, and what your department has to do regardless of vendor.

15 min read

Reading your own incident data

Response time distributions, why averages mislead, and the handful of measures that actually inform a deployment decision.

20 min read

Dashboards people actually open

Designing around a standing decision rather than around available fields.

12 min read

AI for the fire service: what it is good at

A working explanation of what these systems do, where they are reliable, and where confident output should not be trusted.

16 min read

AI governance and policy

Writing policy before deployment: accountability, records implications, and what you tell the public.

Premium22 min read

Still in development

Innovation Lab

Maturity: Research

AI incident command assistants

Systems that monitor radio traffic and incident data to surface missed benchmarks, unassigned tasks, or crews past their air-time window.

Why it matters

The promise is a second set of eyes on the things an IC drops under load. The risk is a confident recommendation that is wrong, and an IC who has stopped checking. Worth watching closely and adopting slowly.

University research groups and early startup work

Maturity: Operational

Computer vision fire detection

Automated smoke and fire detection from fixed cameras, increasingly extended to structure fires and industrial monitoring.

Why it matters

Genuinely operational in wildland detection. The interesting question is whether it transfers to structural and industrial settings, where false positives are far more costly.

State wildfire camera networks, industrial safety systems

Peer experience

Mutual Aid

Has anyone integrated ESO with First Due?

Running ESO for EMS records and looking at First Due for fire. Both vendors say it is supported. Looking for someone who has actually run it in production.

11 replies · 7 departments

How is your NERIS migration actually going?

Vendor says we are ready. Our data says otherwise. Curious whether anyone has completed a clean migration and what they had to fix first.

31 replies · 24 departments

Staffing and callback apps for a combination department

Need something volunteers will actually open. We have tried two systems and adoption died within a month both times.

19 replies · 15 departments