Auto Enforce: THE enterprise solution for modern law enforcement.
What Is Auto Enforce?
Auto Enforce is an enterprise system that modernizes law enforcement processes using machine learning.
It replaces legacy enforcement policies and procedures by indexing real-world scenarios faced by agents and litigators, then learning, storing, disseminating, and authorizing new state-of-the-art procedures and remedies.
How Auto Enforce Works
The system orchestrates communications between frontline agents, policy chiefs, and litigators, analyzing and defining key attributes of recurring enforcement scenarios.
Auto Enforce then delivers updated policies and remedies to replace outdated ones.
Within months, roughly 70% of all enforcement scenarios are mapped to appropriate procedures and remedies.
Machine learning frees up policy experts, allowing the team to maintain and expand coverage for the remaining 30%.
Benefits of Auto Enforce
Reduces human error and eliminates slow, arbitrary, or confusing directives.
Policies automatically update once proven effective by judges, lawyers, and officers.
Increases job satisfaction and reduces turnover.
Virtually eliminates unauthorized officer actions that might violate civil rights or due process.
Automates evidence gathering, citations, remedies, penalties, assessments, and reporting.
Enables new hires to gain confidence quickly through access to modern, effective methods.
Testimonials: “Your Stories”
City Law Enforcement
Before Auto Enforce, the agency struggled with outdated systems, low morale, and high turnover.
After implementation:
Auto Enforce predicted the best remedy for 70% of officer scenarios.
Civil claims dropped by $1.6 million.
Complaints per action down 45%.
Job satisfaction up 15% overall and 65% among new recruits.
Neighboring departments adopted the system after noticing improvements.
Code Compliance
After adoption:
Automated 55% of routine scenarios in 18 months.
Reduced burnout and increased retention — 87% of staff more likely to stay.
Efficiency and morale skyrocketed.
Policy chiefs expect 80% automation within three years.
State Enterprise Services
After statewide rollout:
16 divisions onboarded across four cities and twelve agencies.
Agencies report savings exceeding service fees, reduced civil rights claims, and greater community support.
Public School District
Auto Enforce increased Classroom Management Plans by 200% and reduced disruptions by 65%, leading to happier students, parents, and teachers.
Goals & Philosophy
Auto Enforce champions equal protection, due process, and effective remedies that reflect the laws people voted for.
Their philosophy:
“We love laboratories of democracy. We love self-government. We love the protections and common rules that we can all agree on; our public laws that we use to create the communities we choose to call home.”
They believe law enforcement must use automated policies and procedures to remain affordable, accountable, and effective — following the principles outlined in Jeff Sutherland’s SCRUM: The Art of Doing Twice the Work in Half the Time.