October 17, 2025 • 18 mins
What if the camera on an officer’s chest could listen, watch, and turn a call or scene scene into a clean first draft of the report before anyone sits down at a keyboard? We dig into the real-world ways AI is changing police work in Cape Coral—speeding up documentation, meeting urgent NCIC deadlines for missing kids, and giving officers more time where it matters most: with people.
We walk through how body-worn cameras now pair with AI to identify call types, pull key details from audio and video, and create structured reports that officers review and approve. That shift doesn’t replace human judgment—it protects it, freeing officers from retyping interviews and letting them stay in the field longer. We also unpack a powerful translation feature that detects language on the fly and delivers near real-time two-way communication, cutting delays and misunderstandings when clarity is critical.
We talk transparently about total how strategic tech investment can reduce the need for future positions without cutting current jobs, recapturing workload while guarding against burnout. The takeaway is simple: you won’t be replaced by AI, but you could be outpaced by leaders who use it well. We’re choosing to move forward—measuring results, keeping human skills at the core, and using the right tools to serve Cape Coral better every day.
The Cape Coral Police Department is hiring. To apply: www.capecops.com/careers
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
SPEAKER_01 (00:04):
Welcome back to another episode of the Cape
Copcast Chiefs Chat Edition.
I'm one of your hosts, LisaGreenberg.
SPEAKER_02 (00:09):
And I'm Officer Mercedes Simons.
Together we make up the publicaffairs office, and we have
Chief Size More again today.
SPEAKER_00 (00:15):
Well, good morning, ladies.
It's good to be back.
SPEAKER_02 (00:17):
And I think we wanted to talk a little bit
about new technology, AI thingsthat we have coming down the
pipeline.
We have a lot of things goingon, especially in society.
You look at a lot of differentthings and how everything has
changed, even down to probablyhow college kids write papers.
Oh, geez.
That's for sure.
What other AI tools are welooking into?
SPEAKER_00 (00:39):
Police uh departments have been using
technology since it be anythingthat becomes available, we try
to leverage.
Right.
Right?
We're just like any otherindustry.
And when you look at what we aretrying to do, we're talking
about AI, right?
And and the latest, greatesttechnology.
We've been using computers inthe cars for decades now.
(01:00):
That was kind of the first typeof technology like that.
Uh, we adopted a body cameraprogram in 2016.
We were one of the first in thearea, certainly in the area, but
uh one of on the forefront in inthe country for that to
voluntarily dive into that uhbit of technology.
And now with artificialintelligence, there are a lot of
(01:22):
applications for policing.
And like any tool, you don't getthe tool just because it's cool,
right?
Or because it's neat or new.
You get it to help you improveon what you're doing.
So you don't go to Lowe's orHome Depot and buy a circular
saw because it's cool.
You do it because it makes youmuch more efficient than using a
(01:43):
handsaw.
Right.
Right?
This is no different than that.
So if you can, for example, um,a body worn camera can it always
has done this, but now there'snew AI integrated technology
where you show up on a call forservice, it sees what you see,
and so you got visual, it picksup audio on what's going on, and
(02:06):
it is able to, just like if youuse Chat GPT at home or or for
other um college papers oranything, it's very intuitive,
and it will take the video thatit sees, the camera, the audio
that it hears, and will actuallytell you it looks like you're
trying to write a past occurredburglary report.
(02:28):
And it will take all of the datathat it has gotten, all of the
senses that it has has um heardand seen, and will craft a
police report, and they'repretty darn good.
So crazy.
So, what does that mean?
Is that just because it's cool?
Is that the circular saw to haveone part, or is it just better,
much more efficient than ahandsaw?
(02:50):
And it's for efficiency.
How does that help you, uh, thepublic?
If an officer comes to your homeand you're the victim of a
crime, or you need some kind ofbeyond a verbal interaction, it
becomes a police report.
So you had a uh vandalism atyour house, or um a missing or
runaway juvenile, or anythingwhere there it used to be called
(03:13):
pen to paper.
If the AI technology can do thereport based on look, listen,
and feel, and it's appropriateand it's reviewed and submitted,
the time saved from the officerdoing that puts that officer
back in the game.
And the recapture of work timeis what we measure.
(03:37):
And that is the direct benefitto the community is you get the
officers to arrive, put theircarbon-based human talents that
can't be replicated by AI towork.
And then when it comes time todo something that is um
productive for that case, but itbecomes a diminished amount of
productivity to get back outthere for availability.
(04:00):
Your best ability isavailability, right?
So the longer you areunavailable, the less benefit
you have to the next customer orthe next citizen or the next
interaction or prevented crime,et cetera.
So that's how it benefitspeople, is the officers go, they
deliver the talent and thetraining that we provide them,
(04:21):
and then they're able to quicklyand professionally document the
incident in an in a policereport, file it, and get back
out there.
And that that's the gamechanger.
SPEAKER_01 (04:32):
Well, it's really interesting because I was
wanting to make the point, andyou kind of touched on it.
This isn't to replace people.
You hear oftentimes with theadvent of new technology, oh,
it's taking jobs from away frompeople.
This isn't that.
This is the only conversationsthat we've had related to these
types of technology is how canit make the officers' jobs more
(04:52):
efficient?
How can it help them do a betterjob?
How can it help the people ofCape Coral get better service?
It's never been, oh, if we dothis, we can cut these positions
and save money.
It's never about that.
It's always about just improvingthe efficiency, the experience
for someone who's calling thepolice department and needs help
in some kind of way.
SPEAKER_00 (05:10):
Correct.
If you and we, this is a themeon the podcast.
We talk about uh response timeto priority one calls.
Now, if we're tied up on a calland we have to clear it for a
priority one, we do that.
But it's a lot slower than ifyou were already out there
swimming in the fish tank,right?
So to get people back out, thesame amount of people, there's
(05:33):
two ways you can do this.
You can take somebody and youcan get efficiency out of that
human resource, that person.
You can physically push them andyou can have them hurry up, you
can cut corners, right?
And that's what's going tohappen.
So if you manually push peopleto increase their efficiency,
(05:54):
that you'll you'll eliminatesome inefficiencies that are
built in if somebody is is justnot performing.
But uh going on the assumptionthat people are performing
optimally and then to get moreout of it, right, you have to
create that energy fromsomewhere, and that is from
cutting corners or not as goodof a report or a hastened
(06:15):
investigation.
We don't want to do that.
We want to take all of thepeople-based things that you
talked about and get the mostout of them.
The interaction, the humancompassion part, the um
discerning of everything thathappened, providing people with
advice or or what we do, thatdoesn't get changed.
(06:38):
What gets changed is the thingsthat you really you pay for, you
pay for us to do reports and anddo them the right way, but
you're not getting an immediateuh ROI or return on investment
or getting them back out ontopatrol.
But by using or leveragingtechnology, you can get the
increased output on that humanresource, that that officer,
(07:00):
that person, without sacrificingthe quality control.
So it's a way to get a more 360efficiency out of somebody
without hammering them and andgoing counter to wellness
initiatives and burnout and anduh a less than product.
(07:22):
That makes sense.
SPEAKER_02 (07:23):
Definitely.
And if you look at certainexamples, like with when we have
missing people, um, specificallylike missing endangered
children, time is of theessence.
And I think that's one of thosesituations where uh we have to
get the report into NCIC witheverything documented within two
hours and having something wheretime is of the essence to just
(07:44):
say, the mom told me all ofthis, it's all recorded on body
worn camera.
It's gonna be incrediblydetailed.
It doesn't take out the reviewprocess.
The officer's still gonna reviewit, but they don't have to sit
there and reflect back oneverything and say, oh, like
what color pants did the mom saythat they were wearing?
It does it it'll do that foryou.
You just have to go back andreview it and it'll happen a lot
(08:05):
faster.
SPEAKER_00 (08:06):
Right.
I mean, there are there areopportunities for a glitch.
So there is a a policy built inwhere you have to review it.
You don't just hit the buttonand then go.
It could have completelycrosswired somewhere.
So you have to read it.
But in your what what you'rereferring to with NCIC and what
that means, you have, I believeit's a two-hour time limit.
Yes.
(08:26):
When if if your child was arunaway, we come and take the
report or a missing person.
You know, they're very similarbut but different.
But you have two hours to getthat into NCIC, which is a deep
dive here, is the National CrimeInformation Center, and FCIC is
the Florida Crime InformationCenter.
It is uh, for lack of a betterword, it's an internet for law
(08:50):
enforcement, it's an intranetnetwork where they all connect.
So that way, if your runaway iswith somebody they met online
and then they get up toCharlotte County and they're at
a convenience store and thepolice get called because it
looks suspicious, and they runthem.
Some running, they run theirname in the system.
The system is N C I C F C I Cand it will hit that that's a
(09:16):
missing person, that's arunaway, and then you can
reunite them with the family.
Well, the two-hour time limit, alot can happen in two hours when
somebody's missing like that.
So it's the time to get thementered so that you don't have
them slip through the cracks,and um, it's time because it's a
law that you have to have it inwithin two hours.
So you could be working on amissing person or runaway, and
(09:38):
then you get called to clear fora priority call.
I'm sorry, I can't clear to comehelp with a gunshot case or some
other big priority because I'mdoing paperwork.
You're gonna put that paperworkon the side and go, and then
we'll fast forward and you'regonna have to explain to our
auditors why FCIC and CIC wasnot updated within two hours for
(09:59):
that missing person.
So there's a compliance issue,and then there's a real world
application of a missedopportunity.
And these are real lives thatyou're dealing with with missed
opportunity.
SPEAKER_01 (10:09):
Absolutely.
SPEAKER_02 (10:10):
Definitely on both ends.
So, what other technology do wehave that we're bringing into
the game?
SPEAKER_00 (10:16):
Uh, the same system, right?
The body worn camera.
There uh it's on the forefronthere or pretty close with a
translate feature where it willlisten to a conversation, detect
the language, and broadcast in areal-time translation.
So if you're speaking tosomebody who's a Spanish speaker
(10:37):
and we don't have OfficerRodriguez or Officer Prieto here
like we did on the the lastpodcast, and and you you need to
communicate, it will detectSpanish, translate what they're
saying, and you will hear it ina very, very almost real time.
There's a delay for it toprocess it and give it to you.
(10:57):
You respond in your nativelanguage, English would be mine,
and it would translate towhatever language is being
detected in a conversation andbroadcast that out.
It's not so awesome.
It's it's really something else.
SPEAKER_02 (11:10):
That's really cool.
SPEAKER_00 (11:11):
So that's something that's on the forefront that
we're looking at.
So I don't think we have toexplain how that would make
things efficient.
SPEAKER_02 (11:17):
Yeah.
SPEAKER_00 (11:17):
Hey, I need somebody to come and translate for me, or
you got the phone held up, andyou're it's it's just a way to
cut wood better.
SPEAKER_02 (11:26):
Now, is that an upgrade in the system that we
already use?
Um is it like an is it an axonupgrade?
SPEAKER_00 (11:32):
It's an axon product, okay, uh, which is axon
is the company that does ourbody and war cameras, our
tasers, but it also does a ourinternal work throughput on
evidence and communicating withthe state attorney and records
management.
There's a lot involved in axon,and they have a pretty uh pretty
dynamite business model, sothey're not going to give it to
(11:54):
us.
So it's an investment for us.
So you mentioned earlier aboutit AI doesn't replace people.
It's that's a nuancedconversation, right?
So I'll it'll be quick, but itAI will not send you two home
because we have AI publicaffairs.
What AI could do is as we growand scale up, if we needed to
(12:16):
onboard a third public affairsperson, that technology could
eliminate that need for a third,or it could delay that need for
a third, or we get a third andwon't need a fourth.
Right?
So when you're looking atlong-term planning, like our
project 35, we're looking toonboard about 25 officers per
year for the next 10 years.
It's a good ballpark math.
(12:37):
That's 250 people that we needto bring in.
If these advents that we bringon, these new technologies can
recapture workload or workoutput from the staff that we
have, we still are going togrow.
We are still going to needpeople.
But if we can scientificallyshow what kind of um
(13:00):
efficiencies we can gain orworkload recapture we can get,
that 250 in 10 years might be180.
Just a ballpark.
I that we haven't done that.
Right.
Those are the kinds of studiesthat we're doing.
Because when you look at one,three, five 10-year planning,
it's very expensive to onboardpeople.
People have salary, benefits,days off, vacation, um, pension
(13:25):
contributions, insurance match,and there's a lot of things that
go into a person.
So you do that totalcompensation or package times
how many you get per year, laborcontracts, escalating cost of
labor.
So there's a lot of layers onthat map.
But the end of the map has aprice that's pretty significant
(13:49):
when you're going to onboard allthose people.
That's a given.
We need to grow.
So the so the the non-negotiablein our little word problem here
is that we need to onboard thismuch work product.
How we get that work product iswhat we work with.
Does that output come from allof the people that we need, just
(14:09):
regular human beings,carbon-based, or can you augment
it with artificial intelligenceand technology?
You're still going to need toget more people.
It's not so much the people,it's the output.
So if the output can come fromanother source, it could limit
or reduce the amount of peoplethat you need.
So there's a cost up front.
(14:31):
These are not cheaptechnologies.
But when you look at a whatlooks like a sticker shock of,
oh my gosh, it's hundreds ofthousands of dollars to do that,
if you start adding salarybenefits, escalating costs of
labor for a significant infusionof people in your workforce, 250
(14:51):
people, that's a massive number.
If you can reduce that, thatdelta and what you reduced
should be equal to or less thanthe initial investment.
Right.
So big dollars today really canum amortize amortization rate,
right?
It tumbles, could be worth somuch more.
(15:14):
So spending money now could beworth a huge savings later
because the end result with allof this processing going on is
the output.
And that's what you care aboutis the output of work.
Is the quality the same?
Do I still feel safe?
Do I get an officer when I needan officer?
Is my experience living in thecity the same or better?
(15:34):
That's the output.
If we can get that output withdifferent means that are a
combination of people andtechnology at the best bang for
your buck, that is what we do,and that's what you pay me to
do.
And I have a very, very smartstaff who does a lot of this
stuff for me in conjunction.
So I'm an idea man, they're aget-a-done uh group of men and
(15:57):
women, and that's the goal,right?
So it I guess a takeaway wouldbe yes, technology's coming.
It does not replace people, itcould reduce the need for
additional people.
Does that make sense?
Yeah, absolutely.
I would hope that people wouldtake some comfort in that we're
not just floating day-to-day,day to day.
(16:18):
We are looking ahead andintentionally staying ahead of
the curve and trying to be thebest.
And that's what that looks like.
SPEAKER_01 (16:26):
Absolutely awesome.
I think it's incredible, and Ithink it's a good use of the
technology that's available tous for sure.
SPEAKER_02 (16:32):
Definitely.
SPEAKER_01 (16:32):
Anything else, Chief?
SPEAKER_02 (16:34):
That's a lot.
SPEAKER_01 (16:35):
It is a lot.
It's interesting though, and Ithink that it it's good for the
people to know that this is whatwe're working towards for sure.
SPEAKER_00 (16:42):
I'll leave you with this.
I went to a uh the Floridapolice chiefs conference and
they talked about AI.
This is about two years ago,within the last two years.
And it was the conversationabout replacing people.
And the the quote that reallystuck with me is you as chiefs,
and they were talking to all ofthe chiefs in Florida that were
in this this conference, youwill not be replaced by AI.
(17:06):
But you will be replaced by achief who embraces AI.
SPEAKER_01 (17:10):
Yeah.
SPEAKER_00 (17:10):
And that really stuck with me.
So doing nothing is not anoption.
Pretending it won't happen isnot an option.
Or longing for days gone by,it's nice to do, but it does not
solve problems and it will getyou escorted out of the
profession in a hurry.
SPEAKER_01 (17:27):
So that makes sense.
SPEAKER_00 (17:28):
That's what we're doing.
SPEAKER_01 (17:29):
Moving forward always, keeping it moving.
Love it.
SPEAKER_02 (17:33):
Yeah, I think we're the society is growing and we're
happily growing with it.
I think it's better to roll withit than to fight what's
happening and continuedelivering a really good level
of service.
And I think we've proven thatwith a lot of the numbers that
we've pulled out lately,especially when it comes to
response time.
So agreed.
It's only going to get betterfrom here.
Thank you for watching.
Yes, thanks for joining us, andwe will catch you next time.
(17:55):
Have a good one.
SPEAKER_00 (17:55):
Stay safe.
Have a great weekend.
Welcome back to another episode of the Cape
Copcast Chiefs Chat Edition.
I'm one of your hosts, LisaGreenberg.
SPEAKER_02 (00:09):
And I'm Officer Mercedes Simons.
Together we make up the publicaffairs office, and we have
Chief Size More again today.
SPEAKER_00 (00:15):
Well, good morning, ladies.
It's good to be back.
SPEAKER_02 (00:17):
And I think we wanted to talk a little bit
about new technology, AI thingsthat we have coming down the
pipeline.
We have a lot of things goingon, especially in society.
You look at a lot of differentthings and how everything has
changed, even down to probablyhow college kids write papers.
Oh, geez.
That's for sure.
What other AI tools are welooking into?
SPEAKER_00 (00:39):
Police uh departments have been using
technology since it be anythingthat becomes available, we try
to leverage.
Right.
Right?
We're just like any otherindustry.
And when you look at what we aretrying to do, we're talking
about AI, right?
And and the latest, greatesttechnology.
We've been using computers inthe cars for decades now.
(01:00):
That was kind of the first typeof technology like that.
Uh, we adopted a body cameraprogram in 2016.
We were one of the first in thearea, certainly in the area, but
uh one of on the forefront in inthe country for that to
voluntarily dive into that uhbit of technology.
And now with artificialintelligence, there are a lot of
(01:22):
applications for policing.
And like any tool, you don't getthe tool just because it's cool,
right?
Or because it's neat or new.
You get it to help you improveon what you're doing.
So you don't go to Lowe's orHome Depot and buy a circular
saw because it's cool.
You do it because it makes youmuch more efficient than using a
(01:43):
handsaw.
Right.
Right?
This is no different than that.
So if you can, for example, um,a body worn camera can it always
has done this, but now there'snew AI integrated technology
where you show up on a call forservice, it sees what you see,
and so you got visual, it picksup audio on what's going on, and
(02:06):
it is able to, just like if youuse Chat GPT at home or or for
other um college papers oranything, it's very intuitive,
and it will take the video thatit sees, the camera, the audio
that it hears, and will actuallytell you it looks like you're
trying to write a past occurredburglary report.
(02:28):
And it will take all of the datathat it has gotten, all of the
senses that it has has um heardand seen, and will craft a
police report, and they'repretty darn good.
So crazy.
So, what does that mean?
Is that just because it's cool?
Is that the circular saw to haveone part, or is it just better,
much more efficient than ahandsaw?
(02:50):
And it's for efficiency.
How does that help you, uh, thepublic?
If an officer comes to your homeand you're the victim of a
crime, or you need some kind ofbeyond a verbal interaction, it
becomes a police report.
So you had a uh vandalism atyour house, or um a missing or
runaway juvenile, or anythingwhere there it used to be called
(03:13):
pen to paper.
If the AI technology can do thereport based on look, listen,
and feel, and it's appropriateand it's reviewed and submitted,
the time saved from the officerdoing that puts that officer
back in the game.
And the recapture of work timeis what we measure.
(03:37):
And that is the direct benefitto the community is you get the
officers to arrive, put theircarbon-based human talents that
can't be replicated by AI towork.
And then when it comes time todo something that is um
productive for that case, but itbecomes a diminished amount of
productivity to get back outthere for availability.
(04:00):
Your best ability isavailability, right?
So the longer you areunavailable, the less benefit
you have to the next customer orthe next citizen or the next
interaction or prevented crime,et cetera.
So that's how it benefitspeople, is the officers go, they
deliver the talent and thetraining that we provide them,
(04:21):
and then they're able to quicklyand professionally document the
incident in an in a policereport, file it, and get back
out there.
And that that's the gamechanger.
SPEAKER_01 (04:32):
Well, it's really interesting because I was
wanting to make the point, andyou kind of touched on it.
This isn't to replace people.
You hear oftentimes with theadvent of new technology, oh,
it's taking jobs from away frompeople.
This isn't that.
This is the only conversationsthat we've had related to these
types of technology is how canit make the officers' jobs more
(04:52):
efficient?
How can it help them do a betterjob?
How can it help the people ofCape Coral get better service?
It's never been, oh, if we dothis, we can cut these positions
and save money.
It's never about that.
It's always about just improvingthe efficiency, the experience
for someone who's calling thepolice department and needs help
in some kind of way.
SPEAKER_00 (05:10):
Correct.
If you and we, this is a themeon the podcast.
We talk about uh response timeto priority one calls.
Now, if we're tied up on a calland we have to clear it for a
priority one, we do that.
But it's a lot slower than ifyou were already out there
swimming in the fish tank,right?
So to get people back out, thesame amount of people, there's
(05:33):
two ways you can do this.
You can take somebody and youcan get efficiency out of that
human resource, that person.
You can physically push them andyou can have them hurry up, you
can cut corners, right?
And that's what's going tohappen.
So if you manually push peopleto increase their efficiency,
(05:54):
that you'll you'll eliminatesome inefficiencies that are
built in if somebody is is justnot performing.
But uh going on the assumptionthat people are performing
optimally and then to get moreout of it, right, you have to
create that energy fromsomewhere, and that is from
cutting corners or not as goodof a report or a hastened
(06:15):
investigation.
We don't want to do that.
We want to take all of thepeople-based things that you
talked about and get the mostout of them.
The interaction, the humancompassion part, the um
discerning of everything thathappened, providing people with
advice or or what we do, thatdoesn't get changed.
(06:38):
What gets changed is the thingsthat you really you pay for, you
pay for us to do reports and anddo them the right way, but
you're not getting an immediateuh ROI or return on investment
or getting them back out ontopatrol.
But by using or leveragingtechnology, you can get the
increased output on that humanresource, that that officer,
(07:00):
that person, without sacrificingthe quality control.
So it's a way to get a more 360efficiency out of somebody
without hammering them and andgoing counter to wellness
initiatives and burnout and anduh a less than product.
(07:22):
That makes sense.
SPEAKER_02 (07:23):
Definitely.
And if you look at certainexamples, like with when we have
missing people, um, specificallylike missing endangered
children, time is of theessence.
And I think that's one of thosesituations where uh we have to
get the report into NCIC witheverything documented within two
hours and having something wheretime is of the essence to just
(07:44):
say, the mom told me all ofthis, it's all recorded on body
worn camera.
It's gonna be incrediblydetailed.
It doesn't take out the reviewprocess.
The officer's still gonna reviewit, but they don't have to sit
there and reflect back oneverything and say, oh, like
what color pants did the mom saythat they were wearing?
It does it it'll do that foryou.
You just have to go back andreview it and it'll happen a lot
(08:05):
faster.
SPEAKER_00 (08:06):
Right.
I mean, there are there areopportunities for a glitch.
So there is a a policy built inwhere you have to review it.
You don't just hit the buttonand then go.
It could have completelycrosswired somewhere.
So you have to read it.
But in your what what you'rereferring to with NCIC and what
that means, you have, I believeit's a two-hour time limit.
Yes.
(08:26):
When if if your child was arunaway, we come and take the
report or a missing person.
You know, they're very similarbut but different.
But you have two hours to getthat into NCIC, which is a deep
dive here, is the National CrimeInformation Center, and FCIC is
the Florida Crime InformationCenter.
It is uh, for lack of a betterword, it's an internet for law
(08:50):
enforcement, it's an intranetnetwork where they all connect.
So that way, if your runaway iswith somebody they met online
and then they get up toCharlotte County and they're at
a convenience store and thepolice get called because it
looks suspicious, and they runthem.
Some running, they run theirname in the system.
The system is N C I C F C I Cand it will hit that that's a
(09:16):
missing person, that's arunaway, and then you can
reunite them with the family.
Well, the two-hour time limit, alot can happen in two hours when
somebody's missing like that.
So it's the time to get thementered so that you don't have
them slip through the cracks,and um, it's time because it's a
law that you have to have it inwithin two hours.
So you could be working on amissing person or runaway, and
(09:38):
then you get called to clear fora priority call.
I'm sorry, I can't clear to comehelp with a gunshot case or some
other big priority because I'mdoing paperwork.
You're gonna put that paperworkon the side and go, and then
we'll fast forward and you'regonna have to explain to our
auditors why FCIC and CIC wasnot updated within two hours for
(09:59):
that missing person.
So there's a compliance issue,and then there's a real world
application of a missedopportunity.
And these are real lives thatyou're dealing with with missed
opportunity.
SPEAKER_01 (10:09):
Absolutely.
SPEAKER_02 (10:10):
Definitely on both ends.
So, what other technology do wehave that we're bringing into
the game?
SPEAKER_00 (10:16):
Uh, the same system, right?
The body worn camera.
There uh it's on the forefronthere or pretty close with a
translate feature where it willlisten to a conversation, detect
the language, and broadcast in areal-time translation.
So if you're speaking tosomebody who's a Spanish speaker
(10:37):
and we don't have OfficerRodriguez or Officer Prieto here
like we did on the the lastpodcast, and and you you need to
communicate, it will detectSpanish, translate what they're
saying, and you will hear it ina very, very almost real time.
There's a delay for it toprocess it and give it to you.
(10:57):
You respond in your nativelanguage, English would be mine,
and it would translate towhatever language is being
detected in a conversation andbroadcast that out.
It's not so awesome.
It's it's really something else.
SPEAKER_02 (11:10):
That's really cool.
SPEAKER_00 (11:11):
So that's something that's on the forefront that
we're looking at.
So I don't think we have toexplain how that would make
things efficient.
SPEAKER_02 (11:17):
Yeah.
SPEAKER_00 (11:17):
Hey, I need somebody to come and translate for me, or
you got the phone held up, andyou're it's it's just a way to
cut wood better.
SPEAKER_02 (11:26):
Now, is that an upgrade in the system that we
already use?
Um is it like an is it an axonupgrade?
SPEAKER_00 (11:32):
It's an axon product, okay, uh, which is axon
is the company that does ourbody and war cameras, our
tasers, but it also does a ourinternal work throughput on
evidence and communicating withthe state attorney and records
management.
There's a lot involved in axon,and they have a pretty uh pretty
dynamite business model, sothey're not going to give it to
(11:54):
us.
So it's an investment for us.
So you mentioned earlier aboutit AI doesn't replace people.
It's that's a nuancedconversation, right?
So I'll it'll be quick, but itAI will not send you two home
because we have AI publicaffairs.
What AI could do is as we growand scale up, if we needed to
(12:16):
onboard a third public affairsperson, that technology could
eliminate that need for a third,or it could delay that need for
a third, or we get a third andwon't need a fourth.
Right?
So when you're looking atlong-term planning, like our
project 35, we're looking toonboard about 25 officers per
year for the next 10 years.
It's a good ballpark math.
(12:37):
That's 250 people that we needto bring in.
If these advents that we bringon, these new technologies can
recapture workload or workoutput from the staff that we
have, we still are going togrow.
We are still going to needpeople.
But if we can scientificallyshow what kind of um
(13:00):
efficiencies we can gain orworkload recapture we can get,
that 250 in 10 years might be180.
Just a ballpark.
I that we haven't done that.
Right.
Those are the kinds of studiesthat we're doing.
Because when you look at one,three, five 10-year planning,
it's very expensive to onboardpeople.
People have salary, benefits,days off, vacation, um, pension
(13:25):
contributions, insurance match,and there's a lot of things that
go into a person.
So you do that totalcompensation or package times
how many you get per year, laborcontracts, escalating cost of
labor.
So there's a lot of layers onthat map.
But the end of the map has aprice that's pretty significant
(13:49):
when you're going to onboard allthose people.
That's a given.
We need to grow.
So the so the the non-negotiablein our little word problem here
is that we need to onboard thismuch work product.
How we get that work product iswhat we work with.
Does that output come from allof the people that we need, just
(14:09):
regular human beings,carbon-based, or can you augment
it with artificial intelligenceand technology?
You're still going to need toget more people.
It's not so much the people,it's the output.
So if the output can come fromanother source, it could limit
or reduce the amount of peoplethat you need.
So there's a cost up front.
(14:31):
These are not cheaptechnologies.
But when you look at a whatlooks like a sticker shock of,
oh my gosh, it's hundreds ofthousands of dollars to do that,
if you start adding salarybenefits, escalating costs of
labor for a significant infusionof people in your workforce, 250
(14:51):
people, that's a massive number.
If you can reduce that, thatdelta and what you reduced
should be equal to or less thanthe initial investment.
Right.
So big dollars today really canum amortize amortization rate,
right?
It tumbles, could be worth somuch more.
(15:14):
So spending money now could beworth a huge savings later
because the end result with allof this processing going on is
the output.
And that's what you care aboutis the output of work.
Is the quality the same?
Do I still feel safe?
Do I get an officer when I needan officer?
Is my experience living in thecity the same or better?
(15:34):
That's the output.
If we can get that output withdifferent means that are a
combination of people andtechnology at the best bang for
your buck, that is what we do,and that's what you pay me to
do.
And I have a very, very smartstaff who does a lot of this
stuff for me in conjunction.
So I'm an idea man, they're aget-a-done uh group of men and
(15:57):
women, and that's the goal,right?
So it I guess a takeaway wouldbe yes, technology's coming.
It does not replace people, itcould reduce the need for
additional people.
Does that make sense?
Yeah, absolutely.
I would hope that people wouldtake some comfort in that we're
not just floating day-to-day,day to day.
(16:18):
We are looking ahead andintentionally staying ahead of
the curve and trying to be thebest.
And that's what that looks like.
SPEAKER_01 (16:26):
Absolutely awesome.
I think it's incredible, and Ithink it's a good use of the
technology that's available tous for sure.
SPEAKER_02 (16:32):
Definitely.
SPEAKER_01 (16:32):
Anything else, Chief?
SPEAKER_02 (16:34):
That's a lot.
SPEAKER_01 (16:35):
It is a lot.
It's interesting though, and Ithink that it it's good for the
people to know that this is whatwe're working towards for sure.
SPEAKER_00 (16:42):
I'll leave you with this.
I went to a uh the Floridapolice chiefs conference and
they talked about AI.
This is about two years ago,within the last two years.
And it was the conversationabout replacing people.
And the the quote that reallystuck with me is you as chiefs,
and they were talking to all ofthe chiefs in Florida that were
in this this conference, youwill not be replaced by AI.
(17:06):
But you will be replaced by achief who embraces AI.
SPEAKER_01 (17:10):
Yeah.
SPEAKER_00 (17:10):
And that really stuck with me.
So doing nothing is not anoption.
Pretending it won't happen isnot an option.
Or longing for days gone by,it's nice to do, but it does not
solve problems and it will getyou escorted out of the
profession in a hurry.
SPEAKER_01 (17:27):
So that makes sense.
SPEAKER_00 (17:28):
That's what we're doing.
SPEAKER_01 (17:29):
Moving forward always, keeping it moving.
Love it.
SPEAKER_02 (17:33):
Yeah, I think we're the society is growing and we're
happily growing with it.
I think it's better to roll withit than to fight what's
happening and continuedelivering a really good level
of service.
And I think we've proven thatwith a lot of the numbers that
we've pulled out lately,especially when it comes to
response time.
So agreed.
It's only going to get betterfrom here.
Thank you for watching.
Yes, thanks for joining us, andwe will catch you next time.
(17:55):
Have a good one.
SPEAKER_00 (17:55):
Stay safe.
Have a great weekend.
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