Public safety has always been a profession where experience is earned over time. A veteran officer knows the people, neighborhoods, what a call at a certain address really means before they arrive. That kind of knowledge took years to build, and it has always been one of the most valuable assets in any agency. But the profession can no longer afford to wait for it to develop within new recruits.
Between 2019 and 2022, officer resignations rose by 47 percent and retirements climbed 19 percent, according to the Police Executive Research Forum (PERF). A separate PERF survey found that 55 percent of agencies reported a decline in full-time sworn personnel during that same period. The people walking out the door are often the most experienced, and the pipeline to replace them is thinner than it has been in decades. Sixty-nine percent of agencies saw a drop in the number of applications for full-time officer positions between 2020 and 2022, according to a PERF report summarized by Police1.
Meanwhile, the job itself is not getting simpler. Co-responder models, behavioral health crisis calls, digital evidence, cross-jurisdictional coordination. The complexity of what agencies are asked to handle is increasing at the same time the workforce is getting younger and less tenured.
The industry has spent a lot of time talking about staffing shortages. Not nearly enough time talking about what happens when the people you have don't yet have the context they need to do the job well.
The Data Landscape Is Changing Under Our Feet
For decades, public safety data meant structured records. CAD events, RMS reports, booking records, field interview cards. Form-based, human-entered, organized into systems of record that were designed for a world of typed narratives and printed reports. That model is now eroding.
The volume and variety of data flowing into agencies is shifting dramatically toward machine-generated, real-time, and unstructured sources. Body-worn camera adoption alone went from roughly 47 percent of agencies in 2016 to 91 percent by 2025, according to a national survey conducted by Michigan State University and Justice & Security Strategies (presented at IACP Tech 2026). Each of those cameras generates hours of video per shift, per officer, every day.
Add to that license plate reader feeds, connected vehicle telemetry, community-uploaded images and video through platforms like RapidSOS and Prepared (now Axon), IoT sensors, drone footage, smart city infrastructure, and digital forensics outputs. The ratio of human-entered records to machine-generated data is flipping, and the trend will only accelerate.
More data should be an advantage. But only if you can make sense of it. Right now, for most agencies, more data just means more noise.
Too Many Systems, Too Many Logins, Too Many Workflows
The average agency now touches a significant number of separate digital platforms during a typical shift. CAD. RMS. Jail management. Digital evidence management. ALPR dashboards. Mapping tools. Communication platforms. Warrant portals. Social services databases. Records management systems from neighboring jurisdictions. Third-party data enrichment tools. And the list keeps growing.
Each of these systems has its own login, its own user interface, its own logic, and its own learning curve. For a veteran who has used these tools for years, navigating between them is second nature. They know where to look, what to cross-reference, and which system holds the detail that actually matters for a given situation, and for someone new to the role, that complexity is a barrier, not an advantage.
This is not just a patrol problem. A newly promoted beat sergeant inherits tools they have never used at that level of responsibility. A new analyst may understand data but not the operational workflows that make it useful. A dispatcher may have the technical skills but lack the institutional context to know which piece of information changes the call.
The result is that newer personnel spend weeks, sometimes months, just learning to navigate the technology landscape before they can use it effectively. In a profession where the learning curve can have life-or-death consequences, that gap matters.
What agencies need is not another system. They need a unifying layer that brings disparate data together, presents it clearly, and makes it immediately usable regardless of how long someone has been on the job.
What "Scaling Experience" Actually Means
Experience, in the traditional sense, was a function of tenure plus exposure. You learned by being on the job long enough to recognize patterns, remember what happened at an address three years ago, know the rhythms of a neighborhood, and build a mental map of relationships between people and places that no database could replicate.
That model breaks when turnover is high, when staffing is thin, and when the complexity of calls outpaces what any single person can hold in memory.
Scaling experience means something different. It means giving every person in the agency, regardless of tenure, access to the right context, in the right format, at the right time, for their specific role. It means making institutional knowledge accessible and consistent, not locked inside the heads of a few veterans or scattered across a dozen disconnected systems.
Context, in practical terms, means answering a few critical questions before they have to be asked. What has happened at this location before? Who is involved, and what is their history? What risks or needs should be known? What patterns are emerging across a beat, a district, or a region? What did the last shift handle that I am now picking up?
When that context is surfaced automatically and presented clearly through a single interface, something powerful happens. A newer officer can approach a scene with an awareness that previously took years of exposure to develop. A new sergeant can understand what is happening across their beat without relying on secondhand briefings. A recently assigned lieutenant can see trends and resource pressures across a district on day one.
Experience is no longer just what you remember. It is what you can access.
Different Roles, Different Needs, Same Principle
The concept of scaling experience only works if the data is delivered in a way that matches how each role actually operates. A patrol officer and a district commander both benefit from context, but they need very different things at very different speeds.
Patrol Officers and Dispatch need immediate, safety-focused context, such as prior calls at a location, known hazards, domestic violence history, any known children or animals at the residence, behavioral health indicators, or repeat call patterns. For patrol, context is about the next 30 seconds, and is the difference between a safe, informed approach and an escalation.
This is where automated signaling and extraction capabilities matter most. When a platform can pull safety-relevant details out of past narratives, call notes, and case records and surface them at the moment of dispatch, officers are not just responding. They are responding with awareness.
New Officers and Field Training Officers need guided awareness. They need to see the patterns they would not yet recognize on their own: prior case context, suggested connections, and the relationships between people, places, and events that experienced investigators would catch instinctively. Platforms that can visually map these connections through tools like network graphs or interactive timelines accelerate that learning process dramatically, giving newer officers an investigative lens that used to take years to develop.
Sergeants and Beat-Level Supervisors need area-level awareness, like trends across a beat, repeat locations, emerging patterns, and workload distribution across their team. For a sergeant, context is about the next shift. It is about knowing what is developing before it becomes a crisis and making tactical adjustments based on what the data shows, not just what the last briefing covered. Dynamic analytics dashboards that aggregate across systems of record and update in real time are what make this possible.
Command Staff (Lieutenants, Captains, Executives) need strategic insight. District-wide trends. Resource allocation patterns. Program effectiveness over time. Community impact indicators. For command staff, context is about the next decision cycle. It is about ensuring that operational strategy is grounded in what is actually happening across the agency, supported by live data rather than monthly static reports. This is where configurable performance views and cross-jurisdictional analytics create real value for leadership.
The data to support all of these roles already exists inside most agencies. The issue has never been a lack of information. It has been a lack of access, timing, and usability.
The Role of AI: Enabler, Not Replacement
AI is a loaded term in public safety, and for good reason. The conversation around it has been muddied by confusing marketing, by overpromising, and by associations with concepts that do not reflect how responsible agencies want to operate. But when applied with discipline, AI plays a specific and valuable role in the context of scaling experience.
AI is useful here because it can do the things that humans should not have to spend hours doing manually. It can extract safety-relevant details from lengthy narrative reports. It can summarize what happened during a prior shift at a location. It can resolve fragmented or duplicate records across systems and recognize that two entries with slightly different names and addresses refer to the same person. It can connect events, people, and locations across data sources and surface those connections visually, without requiring an analyst to manually stitch them together.
What AI does not do, and should never be asked to do, is replace human judgment. It does not make operational decisions. It does not determine outcomes. It supports the person making the decision by reducing cognitive load and delivering summarized, relevant context faster than any manual workflow could. AI does not replace experience. It helps distribute it.
Preparing for What Is Coming
Agencies that build the right foundation now will be ready for that future. Those that wait will find the gap between what they have and what they need growing wider every year.
Building that foundation means a few things in practice. It means breaking down the silos between existing systems of record so that CAD, RMS, jail management, evidence platforms, and third-party data sources feed into a unified view. It means giving every role in the agency, from dispatch to the chief's office, access to a single, intuitive platform that delivers context appropriate to their responsibilities. It means deploying quickly, measuring value in days and weeks rather than months and years, and ensuring the platform works with existing infrastructure instead of requiring agencies to start over.
And it means thinking seriously about how AI and automation will be used responsibly: to enrich data, to surface context, to reduce manual workload, and to help every person in the organization operate with greater confidence and consistency.
The agencies that treat data as a core operational asset, not just a byproduct of operations, will be the ones that close the experience gap. They will onboard faster, respond more consistently, and deliver better outcomes for both their personnel and the communities they serve.
See It in Action
This is exactly the challenge that ForceMetrics was built to address. By unifying systems of record, surfacing contextual data in real time, and making it accessible to every role in the agency, the Velocity platform helps agencies turn raw data into operational clarity, for personnel at every level of experience.
If your agency is navigating these challenges, we would welcome the conversation. Visit forcemetrics.com to learn more or request a demo of the Velocity platform.
