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0:00
In five years from now, nobody is
0:02
going to use Concur Dynamics. Nobody
0:04
is going to use Salesforce. These companies
0:06
have lost the way around innovation.
0:08
They don't know anymore how to innovate.
0:10
They cannot attract the people. They
0:12
know how to innovate. These companies
0:14
actually, I would argue, will just die.
0:17
That's what will happen because innovation
0:19
OpenAI. These companies lost their way
0:21
around innovation, and they will just die because
0:23
they are not allowed This is twenty VC,
0:25
the memo, where we saw the success story one
0:28
of the breakout companies of the last decade
0:30
and today. We have a special guest. Just
0:32
yesterday, they announced their rebrand from
0:34
trip actions to Navan. And wow, what
0:36
a show this was? I'm thrilled to welcome Ariel
0:38
Cohen, cofound CEO, Navan, formerly
0:41
tripassions, the number one travel management
0:44
super app used by over eight thousand
0:46
companies. Ariel's Ray over two billion
0:48
dollars for Navan from some of the best, including
0:50
Andresen, Ziv Ventures, LightSpeed,
0:53
Green Elon Deal, and private
0:55
trip Navan, Ariel Cove founded Stream
0:57
ones, which was successfully acquired by
0:59
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2:52
EDU Clean. Clean. One.
2:56
What you got?
2:58
You have now arrived at your destination.
3:01
Mario, I am so excited for this. It's
3:03
been quite a few years now. So first, thank you
3:05
so much for joining me again. Thank you.
3:08
I'm so happy to beer again. And
3:10
I'm always listening to
3:11
you, interviewing really smart detail.
3:13
It's really interesting to hear you and also
3:15
listen to your Jeff Jordan one and it
3:17
was really fascinating. I was very, very
3:19
kind. I'll pay you later. But we were peeking
3:21
beforehand, and you did This is all
3:24
scheduled. I the first question being all
3:26
scheduled is, like, unusual, but fuck it. You
3:28
said to me, school and
3:29
university. You didn't really go to that
3:31
many latches or lessons. I
3:33
was just intrigued by why? The type
3:36
of person that I
3:36
name, I can learn stuff by myself,
3:39
but I can only learn stuff that really
3:41
interests me. The reality is that I think
3:44
that most of the things that you will learn at
3:46
school and universities, they'll just not be
3:48
interesting. They'll all of things that,
3:50
for example, some case studies that
3:52
you're gonna go through, and I could be
3:54
so much fascinated by that.
3:56
But then I could go all in. For
3:58
me, the way that I can learn, it's
4:01
only it interests me. If it's not, I
4:03
cannot really study it, then that was
4:05
my school life. It was actually a extremely
4:07
average students. If I could either
4:09
have, like, really, really, really good straight
4:12
day, but on the really good side of it,
4:14
or I would totally fail, and it's really
4:16
based on the way that kind of maybe my brain
4:18
works. If it gets my interest, I would geek
4:20
out and learn everything about
4:22
it. If it doesn't, you cannot get me when
4:24
starting to get the interest. Gosh, does
4:26
that impact how you advise your children
4:29
when it comes to how they pick up and
4:31
learn new
4:32
things? One hundred percent. So I have
4:34
three kids. Two of them that they are twins. They
4:36
are boy and a girl. They are fifteen. So they are
4:38
starting to think what would they do next?
4:40
And and so one. One of the things that they've told them,
4:42
hey, you do whatever you want to, but my
4:44
advice to you don't even at age eighteen
4:46
have this pressure to go to college because
4:49
I don't think that what you really want to do with your
4:51
life at age eighteen, and I know that a lot of
4:53
people are doing this keep here. And I like
4:55
traveling. A lot of my conclusions are happening
4:57
while I'm traveling. So my advice
4:59
to them, what you're gonna do with your
5:01
life in school and all of these things,
5:04
it will get figured out, but first
5:06
take the time to really learn to
5:08
really understand what to you. And I think
5:10
that in any case, we are in such interesting
5:13
time in our with the development, and
5:15
I know that you're gonna talk about it, but with the developments
5:18
of machine learning and AI.
5:20
So I've not even ensured that that
5:22
we are learning to not obsolete, and my advice
5:24
to them don't take these two
5:26
seriously. So I think secretly I've always
5:28
wanted to be psychologist, but we mentioned
5:30
children there, and psychologists always give everything
5:32
to your childhood and how it impacted
5:34
you. I do think everyone is a function of their histories.
5:37
What do you think you're running from Mario?
5:39
If you take a step back, I think the one that
5:41
comes in mind always for me is Salesforce
5:43
and SAP, which are not innovating.
5:46
I think the last time that SAP innovated
5:48
something was in the nineties and the last time
5:50
that that Salesforce innovated was in the beginning
5:52
of two thousand. And I'm looking at this and
5:54
besides the fact that I think it's embarrassing
5:57
that companies that are located in middle
5:59
of Silicon Valley have not been innovating
6:02
for years. It's also what I'm running
6:04
before. The one thing that scares
6:06
me is that one day, Navan
6:08
will be that kind of a company that the only
6:10
way that you innovated for M and A
6:12
and for using the OE market dynamics
6:15
and your power in the market to basically
6:17
sell. And this really scares me. Just jumping
6:19
on that I'm said, how do you retain
6:21
innovation, speed, agility
6:24
with scale? And we people are a trip of Navan
6:26
now. have three thousand and eight. How do you
6:28
retain that innovation and agility?
6:30
I think it's about decisions. And Elon
6:32
and I looked at this, Elon is my co founder
6:34
and this was, like, five years ago, and we said
6:37
if we would have started transactions again,
6:39
we wouldn't do it like that. Out of this
6:41
came everything that we did around
6:43
payments and expense management. Two
6:46
years ago, we looked at this again, and
6:48
we said today with machine learning,
6:50
you can achieve much better service
6:53
by servicing people fast. Where you cancel
6:55
your flight, are you going to get your tickets back
6:57
or not? Tell me how to automate
6:59
it. But we've managed to automate it with
7:01
a lot of usage of face smartness
7:04
inside. We are calling it, we have an internal body,
7:06
we call it Cati's IQ. And this
7:08
is distinct that keeps learning. So again,
7:10
we killed what we had. And recreated
7:13
it. So I think you keep this innovation
7:15
if you have the college, first of all, to look
7:17
at the mirror and come and say, okay, what we
7:19
had done up until now was relevant
7:21
back then with our understanding and the
7:24
technology back then, but maybe it's time to
7:26
kill it and change it. And we've been doing it times
7:28
and again here. Actually, my cofounder right
7:30
now is running two projects that
7:32
are making basically a lot of what we've done
7:34
to date to
7:35
obsolete. And I think that's how you maintain innovation.
7:38
I'm writing. When you get to my age, you forget
7:40
And so you write on your hand then you will
7:42
remember. How do you want you next? I think I'm all there
7:44
then you. I'm not sure, but I think I'm way older
7:47
than you, so maybe you
7:48
know. Roger and silver fox, my friend. My
7:50
first question was you mentioned some of the additional
7:52
products you create over time. How do you
7:54
common as a leader and strategist between
7:57
an additional product that you should chase
7:59
and should do versus a
8:01
distraction. It so easy to be distracted.
8:03
What's the difference seen a product you should do in
8:06
a distraction? I think people by
8:08
default,
8:08
oh, afraid. Of a change and
8:11
they will do whatever it takes to
8:13
not make a change. Even here in Silicon
8:15
Valley inside the tech companies And
8:17
even last night at eight PM, there
8:20
was a designer that actually showed me
8:22
yesterday a design of for the new unified
8:24
app. We are actually releasing this out of the
8:26
Navan branding. We are consolidating all
8:29
of our technologies to one super app.
8:31
We all 92BN using it here in a three actions
8:33
or inside Nirvana. Then, this designer
8:35
showed me a really interesting design.
8:37
Something much better and we are two
8:40
weeks before the release. So what
8:42
did you do? And I told the team, hey,
8:44
I cannot answer it. I saw this
8:46
design now. I cannot answer it.
8:48
That's should be our design. And this is
8:50
scary. Changing everything in the last minute
8:52
is scary. But then, here is the thing.
8:55
We've agreed it with the team that will do this change.
8:57
But then for quite some time will not do more
8:59
design changes because now
9:01
I want to focus on something else, other
9:03
innovation in a in a van. Are the two
9:06
big projects that we have here. So
9:08
this is scary because I've said, hey, it's
9:10
all about design. It's all about this thing, but now
9:12
I'm gonna deprioritize again three
9:14
weeks from now and do something else.
9:16
And I think having the ability to
9:19
make these decisions in bringing
9:21
the team with you and not having this fear
9:24
that the team will object to this. I think this
9:26
is in the heart of companies that are
9:28
innovating, but it's so in the heart of companies
9:30
that are not
9:31
innovating, you're sometimes too much afraid
9:33
as a company from the change. How
9:35
do you get over being afraid? Do you
9:37
bring people with you as well? Also, when you're deprioritizing
9:40
something, you don't want those that were
9:42
prioritized on it to feel like
9:44
the young love child. How do you get
9:46
over
9:46
that? First of all, you never give up. And
9:49
I'll give you an interesting anecdote. The COVID
9:51
started and we lost out of
9:53
our revenue, but this decided to continue
9:56
to be in the market in sale, do M
9:58
and A, raise money, but the most
10:00
important thing, innovate, continue
10:02
to innovate. Back then, I've decided that
10:04
the innovation would not necessarily be
10:06
just about Navan, but we're actually gonna
10:09
shift resources, we're gonna shift the designers,
10:11
product managers, evaluate from
10:14
the travel side to the expense
10:16
management side. That was
10:19
a decision that actually the employees
10:21
back then didn't like From a lot of various reasons,
10:24
again, we've talked about being afraid of change.
10:26
So in that process actually lost.
10:28
Most of my productive. Okay. And
10:31
two years afterwards, I started to look at the
10:33
data that it showed how much both are picking
10:35
up, travel and expense management. I
10:37
remember that I told the my co founder,
10:40
sometimes you need to do these decisions
10:42
even if it means that you're gonna lose the team
10:44
in the process because that was the right
10:47
decision. So sometimes you can break
10:49
people around with you. In most of the cases,
10:51
that's what I do and you can do that.
10:53
But you cannot be afraid of
10:55
the consequences of the implications of
10:58
doing what you believe intuitively
11:01
deep inside that is the right thing for
11:03
the
11:03
company. Speak of doing what you believe in the right
11:05
for the OpenAI, you also mentioned killing projects.
11:08
How do you determine which projects to
11:10
kill? First of all, you know, I think that
11:12
I will bring it back to maybe the
11:14
linear startups kind of concepts. I
11:16
think what I really like in this concept
11:18
is that you start something with the hypothesis
11:21
and you start to measure it. And your entire
11:23
Pampers is not to develop the product, but
11:25
to actually examine your hypothesis.
11:28
If you are strict about it, you cannot
11:30
lie to yourself. If you have an hypothesis, you
11:33
are saying, hey, this is what I
11:35
think that this product will do or this feature
11:37
we'll do or this project we'll do it. This is
11:39
how we think that the market will accept
11:42
it. Then you put the right metrics and
11:44
measure men's in place and you keep asking the question,
11:46
is it happening or not? Is it happening or not?
11:48
Then you can do some payload. So it doesn't mean
11:50
that your first implementation will be the right
11:52
one. But if you operate like that,
11:54
it's not that how to bring the team into
11:56
a room and say, we had these
11:57
hypotheses. It doesn't work. Let's move on.
12:00
Let's do something else. I think if you do
12:02
that very capable of. How long do
12:04
you give it? Because there's that kind of you can't
12:06
do it too
12:06
quickly, you need enough data, but then
12:08
too many founders are afraid to kill it and give it
12:10
way too long. Based on how important
12:13
it is for your strategy. If it is
12:15
fundamental for your strategy, you
12:17
define your strategy as a OpenAI. When you
12:19
are saying this thing. I'll give you an example.
12:22
We give rewards for employees
12:24
to save company money. So you come
12:26
to our product, you write a book and
12:28
hotel, it's in Paris see, then
12:30
we are telling you, but if you'll book
12:32
something that is lower than the policy,
12:35
we're gonna give you rewards, but part of the
12:37
Navan rewards program. We are rewarding you
12:39
to use us. We're rewarding you
12:42
to save company money. We are also getting
12:44
your Marriott's loyalty points
12:46
So you get it out, you I'm calling it.
12:48
You three pill deep. So with your credit card
12:50
if even you've bought you did four times.
12:52
So you're happy as an employee. But when we
12:54
started the OpenAI. We had the same
12:56
idea. Nobody would click on the stuff that
12:58
will give you the rewards, and nobody would
13:01
actually redeem these rewards. Now the
13:03
question is, are you pivoting or are
13:05
you doubling down? This feature
13:08
today feature back then it was the entire OpenAI.
13:10
Was so important for our strategy
13:12
that even though the hypothesis was
13:15
in collect, nobody was using it, we're measuring
13:17
it. We've decided to double that. We've
13:19
decided to continue to pivot, to change
13:21
the UI, to change the way that we are describing
13:24
it, to change the algorithm, and to continue
13:26
to double down. And eventually everybody
13:28
started to use it. So sometimes it is
13:30
so important to what you do to your set of
13:32
belief that you double down and eventually it will
13:34
be lot out of cash. Oh, you pivot
13:37
all your being successful. And sometimes, it's
13:39
more clear that you did it, you dried
13:41
it, but it's okay to give it up at home.
13:43
Ariel, you mentioned the time when COVID
13:45
happened your revenues went to zero.
13:47
Take me to that moment. How
13:50
did you respond? That is a oh
13:52
shit
13:52
moment. Yeah. Personally, and
13:55
sometimes your good precipiters may be called,
13:57
I can move on fast. I can come
13:59
and say to myself, the plan that we had
14:02
in that company that we had. Okay?
14:04
It's not relevant right now. And
14:06
so what does it mean for me?
14:08
And I'll get back to, I will mention this
14:10
magic again, and again, because it's really the
14:12
call of Nirvana. For me, March
14:14
twenty twenty, we lost all of our revenue,
14:16
obvious to me that we lost product
14:18
market fit overnight, nobody needs
14:20
the spot updating. So for
14:22
me, it got back to the basic question.
14:25
I do believe that there is this new
14:27
category of business software
14:29
that is designed for people, basically
14:31
creating people centric product.
14:33
That's something that I believe we started the
14:36
company with that belief. And I
14:38
do believe that travel and expense
14:40
is an important part of this.
14:42
And I also think that people will travel
14:44
in two years from now, again March twenty
14:46
twenty. So all of my beliefs are
14:48
still there. This new type of software people
14:51
will travel in the future. So now what do
14:53
you do? Do you kill the company? Do
14:55
you hibernate the OpenAI? Or do you die
14:57
build out? If in Cheslando, probably you
14:59
need to hibernate the company or kill it. But if
15:01
you still have this set of beliefs and
15:03
everybody around you, your investors, the
15:06
big part of your employees, still believing
15:08
it, you carry on, you continue. So you
15:10
make some tough decisions, cut costs.
15:12
See, we did like pretty big layoffs. We've
15:14
cut a lot of other costs, but on the
15:16
same
15:17
time, double down on innovation, double down
15:19
on our go to market. Can I be blunt? How
15:22
did you expand the business? And
15:24
how did you raise a double
15:26
digit valuation
15:27
for at the time, put only a travel
15:30
company. In the middle of COVID.
15:32
It's incredible, but how? It comes down
15:34
to this set of beliefs, so I remember in March
15:36
twenty twenty, the issue not only
15:39
that, obviously, we are going down very
15:41
fast, but at that point, people found that the
15:43
entire economy will go down. But that point,
15:45
there was so much pacemism and
15:47
by came to the team and to the board and
15:49
was saying, okay, we're gonna definitely stabilize.
15:52
No question about it. But we're gonna stay in
15:54
the market and sell travel. And in
15:56
fact, we're gonna expand to expense management
15:58
and sell to any T and E. When we're gonna
16:00
raise money? And of course, the reaction would be,
16:02
but how gonna do that. You're gonna call a CFO
16:04
right now and tell them you you need to use
16:06
the playback shares for travel, and they will tell
16:08
you, well, no traveling right now. What are you talking
16:10
about? But think about it, if you convince
16:13
them, it was not how to convince the travel
16:15
will come back. What's better than
16:17
to do change management from this
16:19
antiquated Comcast and
16:22
GBT, American Express GBT,
16:24
nobody likes it. The only reason that people
16:26
are staying with that is change management. It's
16:28
the best time to do it. Nobody is traveling,
16:30
nobody is expensing, changed out.
16:32
And that was our pitch. And in April,
16:35
it was very hard to do that because nobody
16:37
would even pick up the phone. I think people were
16:39
afraid that, you know, for their lives. But
16:41
May, June, July is the thing
16:43
started to open up. Navan was still not
16:45
happening, but people would sign up
16:47
with us. Our biggest customers would sign
16:50
up with us, things like Netflix, Heineken,
16:52
Adobe signed with us on these
16:54
times where people were not threatening
16:56
because, again, change management, the easy
16:58
thing to do at that time. So then you see change
17:00
management like now is the time. Logos
17:03
convert like amazing logos like you mentioned.
17:05
And then you go to the board and say, hey, look
17:07
at our sales, look at our logos, they're up into
17:09
the
17:09
right. We wanna raise a new round. How did
17:11
that catalyze a new round? Yes. So
17:13
I actually went to and back
17:16
then, could you know, and Neil actually looked
17:18
at this and because the first time I didn't
17:20
know him before, but he looked at this and I basically
17:23
told him that oh, hey, this and we don't
17:25
have revenue. We are burning a lot of
17:27
cash because the company think about a fairly
17:29
scaled OpenAI, but here is our plan.
17:31
If you believe in a unique ability to
17:34
execute, the only thing that
17:36
you will need to bet on here is
17:38
the Navan will come back. So just decide, do you
17:40
think the travel will come back or not? If
17:42
you think the travel will come back, I think we're
17:44
on a really good investment right now because
17:46
obviously it was in better terms than
17:48
what you would have got then if COVID was not
17:50
around us. And that's resonated now. I will
17:53
tell you you've talked probably with charity investors
17:55
twenty eight of them told us that
17:58
Sabah will never come back. I've talked to one of
18:00
the biggest VCs in Silicon
18:02
Valley and a very famous one in on very
18:04
good conversation, but they told me eventually, you
18:07
know what? We actually don't think the tavern will come
18:09
back. And I said, okay. So if tavern will not come
18:11
back, it will be very hard for me to make
18:13
a case for you to invest in
18:15
the OpenAI. But the ones that had the
18:17
college back then too, I think it was only
18:19
one bet. Will travel come back? But
18:21
I wouldn't come back before we will call Andy
18:23
or I don't know of
18:24
kids. I agree. But at nine
18:26
point two billion, as an investor as
18:29
I am, you have to see
18:31
a forty billion dollar company to
18:33
get at me
18:33
excited. I need to leave you in. For so the
18:35
nine point two billion, this is even more interesting
18:37
when he came recently So that came
18:40
actually in the middle of recession after
18:42
all of the collection. So as the
18:44
vaccine came, we actually did a five
18:46
billion dollar ounce in an Aplan to
18:48
pre cove it. But again, it was
18:50
Aplan, but it's only kind of back then,
18:52
really based on what happens if travel would come
18:54
back. Can definitely ask how would MGN0
18:57
current investors invested in nine point
18:59
two billion when the entire
19:02
market is collecting and can
19:04
it be forty billion dollar business. They
19:06
send PayPal spending one trillion
19:08
dollars on travel a year.
19:10
Most of this it is not managed.
19:12
Why is it not managed? Because nobody
19:14
like to use a concare and American
19:17
Express. So your employees are all
19:19
over the place. Half of the employees are booking
19:21
outside. You don't have control on it. You're always
19:23
fascinated by this. Everybody are fighting
19:25
all day long. We think and
19:27
our investors think that we can
19:29
capture the entire market for business
19:31
turbine and the entire market for expense.
19:34
If you take one trillion dollars
19:36
of OpenAI and you think about how much money
19:38
is out there, nine billion dollars
19:40
is lawsuit about the execution of the
19:42
company to date. But if you look forward,
19:44
three years, four years, five years, in five
19:47
years from now, nobody is going to
19:49
use Concur Dynamics. Nobody is going to use
19:51
Salesforce. Nobody is going to use
19:53
software that makes you put
19:55
something inside a ticket, and then
19:57
it goes for a workflow Navan then
19:59
I don't know if something happens and the
20:01
really interesting part of this you need to
20:04
make to force it your employees, your salespeople
20:06
need to use Salesforce, your travelers, need
20:08
to use Comcare. Nobody is going to do this
20:10
thing. People today are asking for something else
20:12
and the technology especially with the
20:15
mobile and AI allows for it to
20:16
happen. I love this as a path to a
20:18
trillion. My question is the other bet may
20:20
be and I'm just like ideating with you. The other bet
20:23
may be is Will Ariel and
20:25
Navan or Trebastions at the time
20:27
be able to make the transition from point
20:29
solution or more of point solution to,
20:31
as you described earlier, a super app.
20:33
What do you think are the biggest challenges in
20:36
moving from point solution to super
20:38
app? Yeah. Anything you should probably ask, we'll do
20:40
your job for a second of joking. You
20:42
should partly ask me why even changing the name
20:44
because pretax is the bread is good and people
20:46
actually know the OpenAI, so
20:49
why even do that? And Yeah. I think
20:51
yeah. I'm This is Marita. Why
20:53
are you changing the name, Mariel? It's funny.
20:55
I was saying it because I think it is related
20:57
to your question, but we wanted
21:00
to actually create this new
21:02
category, to show the way, to lead the
21:04
way and show all of the companies around,
21:06
you have to develop a new kind
21:08
of software, software that is more inviting
21:10
Navan. Just the name, it's about navigation,
21:13
navigating the world, and about AVAT.
21:15
This is really where the name is coming
21:17
there from. It's about us inviting
21:19
all of the employees all over the world to
21:22
Navan, inviting the company
21:24
to achieve all of the company's goals while
21:26
their the employees are participating in
21:28
it. So it's magical. And if you think about
21:30
it in these terms, this also shows the
21:32
way To companies that clause that way, to
21:34
companies like Salesforce, like SAP,
21:37
it shows the way for all of the companies
21:40
around the world that today you
21:42
can create really good software for
21:44
the company and the employees. What are the big
21:46
challenges in moving from a more point
21:48
solution to that Supra First of
21:50
all, it's to bring it all together. Right?
21:52
To think about it from a design perspective,
21:55
you are booking a trip. And today, you're gonna
21:57
book a hotel. Whatever, you're
21:59
gonna do it again and again. So I travel a lot
22:01
to London. Our biggest team actually is
22:03
in of nobody is in London. I'm travelling
22:05
there a lot. And here is the thing. I'm always taking
22:07
the same flight. I'm always staying in the same hotel
22:10
and guess what? I'm always going to the same coffee
22:12
in the morning. I'm visiting the same kind of
22:14
restaurants. So why do I need to book it again
22:16
Navan again and again. It doesn't make any
22:19
sense. I have all of these data. We know that
22:21
our machine learning algorithm, which we've
22:23
implemented six years ago, knows
22:25
that. So why not just asking you,
22:27
rebook the trip? The trip that you are always doing
22:29
just book it, and I think that we are the best,
22:32
and I mean it, the best all in one,
22:34
travel expense and payment solution.
22:37
So we are the best by far. Bring it together,
22:39
L21 app, and just to one app to
22:41
every one
22:41
app. Everybody can slap some things that are not connected
22:44
into one app, but bring it to one experience.
22:46
Experience that create value to both sides
22:48
when you think about Concur and Amex,
22:51
do you think they're just gonna sit back and go, oh,
22:53
fine. Let Nirvana go do
22:55
this. They're eating all lunch, how did they
22:57
respond? In the nineties, SAP
22:59
and Concierge innovated something. It
23:01
was the first acting generation of IT
23:03
software this process and how do
23:05
you get efficiency by running workflow in
23:07
some approvals? And basically, how do you treat
23:10
people like packages? And it's not surprising
23:12
that Kompeo found himself as part of Vessey
23:14
Pete, it's like you're outrating people like packages.
23:16
And probably back then, that was innovation.
23:18
But the world has moved on and these
23:21
companies have lost the way
23:23
around innovation. They don't know anymore
23:25
how to innovate. They cannot attract people
23:28
that know how to innovate. Nobody
23:30
would expect OpenAI to be
23:32
a research project inside SAP. These
23:34
companies actually, I would argue, will
23:36
just die. That's what will happen because
23:38
innovation OpenAI. These companies lost
23:40
their way around innovation, and they will
23:42
just die because are not relevant, we
23:45
joke that we are old until we know a set
23:47
of companies from the '90s. Take Siebel,
23:49
for example, to form the '90s that are not
23:51
gonna lock Why aren't there? Because
23:53
the Benelux came in the beginning of
23:55
twenty twenty two years ago. And by the real life,
23:58
they were saying no software Right? He was lying
24:00
to people. There is software, the audio developers
24:02
inside their Salesforce, and they just installed
24:04
it in a computer that is in a bigger
24:06
that the center, the new one frame data center.
24:08
So he lied, but he got his attention. And
24:11
how do I know that he's died? Because I
24:13
know that we are investing so much in software,
24:15
so much in innovation. So there is software.
24:17
And this software is driving the organization
24:20
today. So I think these companies that
24:22
innovated something in the sebel,
24:25
SAP, Concierge, and these companies
24:27
that innovated something ten years later,
24:29
Salesforce, service now
24:31
in a walk day innovated back then.
24:34
Now, people want software like OpenAI
24:36
AI, like Slack, like Nirvana.
24:39
And by the way, look at stuck totally inside Salesforce,
24:41
it doesn't really survive there. You can
24:43
see by the minute how the software
24:45
is becoming worse and and war with under
24:48
kind of a new type of
24:49
company. I actually really think that they
24:51
ask will they respond or not. I don't think that
24:53
they'll be armed. Today, not just become sales
24:55
machines invest so heavily in
24:57
sales, and then change management and stickiness
25:00
is strong. And that's why they keep
25:02
growing. Look at the
25:03
numbers, they keep growing. Yeah, first
25:05
of all, if I look at the numbers, I think, both Salesforce
25:07
and SAP, actually, specifically now are
25:09
not growing and, in fact, declining. So that's
25:12
specifically now. I think they do
25:14
growth for M and A. That's the only
25:16
power that they have. So it's basically M and A and
25:18
the channel. I'm gonna use my connect
25:20
channels into IT, into enterprise, I
25:22
to continue and push whatever I
25:25
purchased yesterday. For this channel,
25:27
I used the word for and that was
25:29
the play. I did the HP software. That
25:31
was the play. Let's keep buying companies and
25:33
then push them for the channel. Over
25:35
time, they are my massive changes.
25:37
For HP, it was the entire cloud. There are
25:39
massive changes and you are not going to survive
25:42
it. I think the massive change right now again
25:44
powered by AI is that companies
25:47
want to have software that
25:49
solves this problem without they
25:51
need to enforce it, without they need to fight
25:53
with their employees all day long. I think, yeah, I
25:55
respect actually their channel,
25:57
the sales organizations that they've created,
26:00
the ability to do m and a, but eventually,
26:02
innovation, technologies,
26:04
breakthroughs, always waiting. Can they not buy
26:06
their way to survival? If they put a twenty percent
26:08
you can't if they
26:09
put a twenty billion dollars on the table for Nirvana,
26:11
Yeah. We are not full sale, and there is a reason
26:13
for that. And by the way, we've passed these tests
26:16
several times. Other companies could have sent
26:18
me to retirement few times. By just
26:20
the by gas and we didn't sell because
26:22
we think that we have something very special
26:24
that can't change, right, the way that software
26:27
works in in organizations. Navan
26:29
that's why we will not sell. Now can they buy
26:31
their way? Maybe yes, but you actually
26:33
see that the answer is no. Think about it, the
26:35
novel to a number three in Salesforce. One
26:38
of the restored battlefield, one of the best
26:40
innovators in Silicon Valley, couldn't
26:42
stay in Salesforce ever and he thought that he would
26:44
be the CEO of Salesforce, and he couldn't data.
26:46
And again, by the way, I am a Slack customer,
26:49
and the team right now is looking for alternatives.
26:51
We love Slack. But you can see that over
26:53
time, the cell tracks a little bit towards
26:56
the buttons are moving to the wrong places. I
26:58
care a lot about product and design, and I
27:00
think it deteriorates over the time. So can
27:02
they buy their way into it, yes,
27:04
but to a point, can they retain
27:06
the team that made this innovation, developing
27:09
a DSLA is or we cannot retain this
27:11
team. Therefore, they're gonna lose the entire product.
27:13
So what pitfalls do you have to
27:15
avoid to prevent you from becoming the
27:17
next skincare or Amax. You're
27:20
only asking about my unite, ma'am. I think
27:22
there are probably a handful of companies
27:24
that are capable of continuing
27:27
to innovate in their twentieth, thirtieth,
27:30
fortieth anniversary. I think, by the way, look
27:32
at Microsoft, it's so amazing how
27:34
they came out. Now they are like Vivel dot
27:36
about them right now is Google. It's unbelievable.
27:39
I think, but again, there are a handful of companies
27:41
and by the way, leaders. I've mentioned that innovation
27:43
comes with leaders that can pull this off. And
27:46
I hope that we will be able to pull this
27:48
off to continue to innovate even
27:50
in about ten years anniversary and an or
27:52
twenty years anniversary and so on. And
27:54
it's not innovation for the sake of innovation.
27:56
It's innovation that creates value,
27:59
magic, or customers. In for
28:01
the users are using one. And if
28:03
we do that, I'll be very happy. That's actually
28:05
my nightmare that we will not be like that
28:07
and will become an SAP exactly, you
28:09
know, the same way that Salesforce became SAP.
28:12
Salesforce were the opposite of SAP. They
28:14
were like, I think that Benav cannot stand
28:16
them. But over time, they became SAP,
28:18
and I hope it will never in
28:20
American Express. You spoke about kind of
28:22
product innovation driving value that you chose
28:24
to integrate OpenAI into your
28:26
chatbot. Told me about that decision.
28:28
What does it mean for the business? Why did you
28:30
make that decision? And I guess, broad,
28:33
how do you see the future of increasing to
28:35
your company. A year ago, we launched
28:37
our first bot. That
28:39
bot today handels thirty
28:42
percent of our support interactions.
28:44
Basically, behaves like a driving
28:46
agent that will say change your
28:49
flight, will handle a flight installations
28:51
will go and get a refund for Minotel. In
28:53
fact, Navan users, when
28:56
they check out for Minotel, they don't need
28:58
to go to the reception and get the receipt.
29:00
We all for a bot that we have are actually
29:02
calling the hotel, getting the receipt for
29:05
them, automatically itemizing it
29:07
and automatically expensing it. That's
29:09
how much today our technology is
29:11
effectively around AI and machine learning.
29:13
And all of this was not powered by OpenAI.
29:16
OpenAI did a huge leapfgged,
29:18
so they basically leapfgged above
29:20
all of the AI technology and machine technology
29:23
including ours. Right? So getting
29:25
back to the innovation, would you kill what
29:27
you have? Because there was a major
29:29
development in compute in software.
29:32
So we decided to do it. We decided
29:34
to kill what we have to use the infrastructure. The
29:36
bot is the bot in the UI is the UI the
29:38
ability to change a flight comes from our API
29:40
to change a flight, but they're to use their technology.
29:43
And if the results internally, I
29:45
think that this Alva. I think we'll probably
29:48
by the end of the year, we'll replace fifty percent
29:50
of function interactions in the contact
29:52
center. And I think by the end of next
29:55
year, it will place ninety percent of
29:57
it, but here is the cool path. Then there is the
29:59
ten percent. The ten percent that solves the
30:01
really hard problems you all stack somewhere
30:03
and somebody really need to help you out.
30:05
And I think this is where we're gonna actually
30:07
dedicate all of our agents to do this
30:09
stuff that really makes sense. Where we're
30:11
listening right now in February, first version
30:14
of Eva powered by OpenAI
30:16
and it would be
30:17
amazing. Carl, just I'm naive. What makes
30:19
OpenAI so much more effective
30:21
than even your internal tools that you built
30:23
for years and everyone else's
30:25
stack. What makes it so much better? Yeah.
30:27
I if people have a lot of opinions about
30:29
it, I think it comes down to the dataset. There
30:31
was a lot of time including with us that was
30:34
used to train the only
30:36
AI to be smart. Right? We used
30:38
to call this thing a cube. So what is
30:40
Airbus a cube? It's this kind of it's the blame.
30:42
We support somebody and that support was
30:44
successful or no. You can measure it so
30:46
this ad for are they going to repeat
30:48
and calling the call center again, stuff
30:50
like that. So it basically would need to give
30:52
the system to signal while it's
30:55
successful or not was the answer. So this
30:57
training, I think, was the old
30:59
way of doing AI. That's how we operate
31:01
it, and I think that's by the way, how ninety eight percent
31:03
of the companies did AI did it. Think one
31:05
OpenAI AI did is they prove
31:07
that if you put it a huge data
31:10
that. Inside this thing, magic
31:12
will happen. I'm not even sure. I actually don't know
31:14
how this magic happens by the way. But
31:16
I think that magic will happen. And we see it.
31:18
I'll give you an example of a magic. You could have
31:20
gotten to the bot that we had before
31:23
OpenAI a I and asked to book
31:25
the Westin in New York. In whatever
31:27
we'll do at that point, she would ask you,
31:29
what do you want to book? But I just told you the
31:31
West. If you'll go like now to check Ept,
31:34
and ask to book the Westin in New York,
31:36
you will ask you in what dates. Okay?
31:38
So Chegg EPT realized that
31:40
the Westin is a hotel. On both
31:43
an entire IQ that was planned
31:45
for years, Three weeks ago, with
31:47
the old technology, we'd not be able to figure
31:49
out that the Westin is a hotel. It's
31:52
day infused with so much data
31:54
and death by doing GPT three think about
31:56
GPT4 and how much more data is there,
31:58
so they infuse it with so much data
32:00
that now magic OpenAI. And that's
32:02
what we see. In real
32:04
life, right, in the or that that I'm using
32:06
right now, it very soon will be available for all
32:08
of our customers. My question is, when we
32:10
look at public markets, drive to
32:12
cash flow, drive to profitability, economics.
32:15
There's some uncomfortable realities that
32:18
you as a business leader and me as an ambassador
32:20
know. And that cut out lot of costs.
32:22
And I know that you can absolutely deploy those
32:25
costs to ten
32:25
percent, but you don't need half of them.
32:27
Yeah. I think that what we've shown
32:30
actually in the travel industry that
32:32
you can run this business today.
32:34
I'll give you one thing we usually don't share our financials,
32:36
but I will give you one number. I'll go with
32:38
margins today at seventy five
32:41
percent. By the end of the year, probably it will get
32:43
to eighty percent. So I'm talking about the year. This is
32:45
high. Exactly. And this is high, generally.
32:47
I think there are some tech companies that are doing better,
32:50
but it's not a thing in services companies.
32:52
So how do you get these
32:55
gross margins a service oriented
32:57
business. And usually, you don't. By the way, you can
32:59
look at some of our competitors are public, and you
33:01
can look at their reports, you're talking about fifty,
33:03
fifty five percent gross margins compared to
33:05
seventy five today, going to eighty,
33:07
maybe even eighty five, eighty five is not
33:09
model deal, but maybe even eighty five in
33:11
the next two to three years. This is
33:13
highly profitable based if you
33:16
think about it from a unit economics perspective.
33:18
What does it mean? It means that businesses
33:20
like always with innovation will become
33:22
more efficient and the businesses that
33:25
will adopt it will get to see another
33:27
day. And the businesses that will not, will
33:29
vanish, either is this famous American
33:31
Basin, I think blog about software is
33:33
eating the
33:33
world. I think software kind of ate the
33:35
world and the companies that didn't
33:37
embrace it died. And I think I say
33:39
maybe AI is eating the wall then and
33:42
eating software and companies that will
33:44
not join the party will not be around. Do
33:46
you worry about having such a core part
33:48
of business and margin structure, I'm
33:50
sure, over time, to worry about having
33:52
that provider by an external provider. I
33:54
think that eventually the bot
33:56
can do one thing. It can answer
33:58
questions based on all of the data data that
34:00
you have. Eventually, you need to operationalize
34:03
it. You do need to change that flight. You
34:05
do need to book that flight. You do need
34:07
to have the supplier's relationships.
34:10
You do need to have all of these things. I
34:12
think the mode that we've created
34:14
is actually not around that technology. The mode
34:16
is all of the infrastructure here that
34:18
allows us to go globally, to
34:20
service our customers globally, to provide
34:23
one T and E report for all of the
34:25
companies that are using us. That's the mode.
34:27
Now, the alarm mode is one of the cultural
34:30
mode. Do you have the courage to keep
34:32
killing everything that you did because the new technology
34:34
showed up? And connect it to our infrastructure.
34:37
And I think if you do that, whether it's external
34:39
or internal
34:40
level, it's not important. So I look at businesses
34:43
like machines with levers. And when you think
34:45
about eighty percent of gross margins on yours
34:47
today. You have a lot of leverage to
34:49
go down to sixty percent and put twenty
34:52
percent more in marketing brand
34:54
growth flight fucking 92BN the
34:56
boats
34:57
go. Why didn't you do that? So actually,
34:59
it's interesting in a part of Navan
35:01
and the rebranding. We are opening
35:04
our product for everybody. So everybody
35:06
can go and sign up to the product. As
35:08
part of this, we are introducing new
35:10
cost structure for different
35:12
markets. So for example, on the lower
35:14
end of the market, we are free. We are
35:16
completely free. You go in. So I think
35:18
if you're basically talking should I use my
35:21
gross margins to reach more
35:23
people. The answer is yes. That's actually
35:25
what we are doing. We're doing another thing. We
35:27
are actually introducing our own loyal club,
35:30
which means costs to make you more
35:32
loyal to us. So again, how
35:34
can we do all of these things? Because
35:36
we've gained over the last eight years
35:38
because of our backs on technology,
35:41
on machine learning. On AI, we've
35:43
gained a lot of efficiency. When I'm
35:45
walking in an airport, I was at I have to tell
35:47
you though. People at Nirvana hearing
35:49
this story because I cannot stop mentioning this
35:51
story recently. I was stuck on an
35:53
airplane with my family, the
35:55
trip kept getting delayed on the OpenAI
35:58
say it four hours there eventually, and
36:00
we have a tight connection in Houston and
36:02
we have already missed the connection. So what we
36:04
gotta do? And I'm using obviously
36:06
the Navan product, and I'm keep getting notifications
36:09
of exactly what is going at you. I'm going
36:11
to miss your connection, but don't worry,
36:13
we took care of you. By the way, that was infused
36:16
both by our product technology, but
36:18
also by these ten percent that I'm talking
36:20
about, the VIP Robert agents that
36:22
we have. This is the Reed and Mackay acquisition
36:24
that we had. And eventually, I was in
36:26
Houston Stebbings in the immigration line.
36:29
I had everybody from the flight with me. All
36:31
of them are booked on the four thirty flight that
36:33
just got canceled, by the way, I am booked on
36:35
the nine thirty flight. Do you know why? Because
36:37
I used the best solution on
36:39
the planet to manage my travel and this is not
36:41
bad. And I mean it. So now I'm waking up in
36:43
the morning and I'm walking down this immigration
36:45
line and it painful and I mean it and it's
36:48
really not just money for me. It's painful
36:50
to think that if all of these people would have
36:52
used Navan, they would have actually need
36:54
to wait during the Houston airport until four
36:56
thirty to the flight that actually got cancelled. First
36:58
of all, they will know that the flight got cancelled. And
37:00
two, the system will automatically
37:03
book them on the right flight. So it's painful
37:05
for me that people are not using us and
37:07
still using something that is learning
37:09
dense software can can and something that
37:11
is really bad service like
37:13
AmEx, GPT. And to your point, I
37:15
want to go to market, fasten, open it
37:17
to everybody and remove any type of burial
37:19
for entry, and we are going to use our economics
37:21
for that. You should give every employee
37:24
a hoodie with a QR code
37:25
they should wear to airpool so you can download
37:27
it. So when you're walking past lines, you're like, hey,
37:30
download it here. And this is amazing idea
37:32
and maybe I should have you joining our marketing
37:34
team. Like, with this
37:35
idea, I'm actually going to talk about this with
37:37
a team later today. It's a really good idea.
37:40
You're not the first person still about marketing.
37:43
If my question to you is, I'm fascinated.
37:45
You set up marketing the loyalty scheme
37:47
that is your
37:47
own. How do you define a
37:49
retained user? We have very
37:51
loyal customers and install
37:54
base, but I want them to feel great
37:56
that they didn't compromise if they
37:58
booked through their corporate, recommended
38:01
solution or enforced solution. In fact, I
38:03
don't want this thing to be enforced. So
38:05
we are making sure that they will always get
38:07
their loyal loyalty from the hotels
38:09
chains from the airlines, but also will
38:11
get their benefits if they save company
38:13
money, but also from us and that getting
38:15
more of their melting into us into
38:17
November. But when you look at Facebook, they said
38:19
when you get five friends, then you're
38:21
like a retained customer. I think it's three
38:23
orders on Go
38:24
Puffs. Your retained customer. What's
38:26
your understanding of what a journey
38:29
main customer is? Because of the expense
38:31
side, we actually know if
38:33
you booked outside. So we know if you booked
38:36
outside. If you know that you're
38:38
getting one hundred percent, what you are
38:40
calling inside a payment of the
38:42
company's budget, we know that we
38:44
are retaining the employees and the customers
38:46
time and again, not just as a big customer
38:49
that maybe use us fifty percent of the time,
38:51
but retaining them all the time. So we are
38:53
comparing this data all the time and
38:55
we have a really good idea of who is a
38:57
user and also who decided to not use
38:59
us. If you're not using us, we're getting
39:01
curious about it. Why? Then we'll contact
39:03
you. We'll call you. This is something that we started when
39:05
we started the company and all the way
39:07
till now. And based on the feedback we're
39:09
introducing stuff the loyalty club that they've
39:11
mentioned. What percent of customers have
39:13
a hundred percent attainment? It's I
39:15
think that it goes by segment
39:18
more of the higher end of the market, what we
39:20
are calling named enterprise, and
39:22
even bid market will get one hundred percent
39:24
attainment. As you start to go down market.
39:27
You are getting more towards the eighty percent
39:29
attainment. Even that number,
39:31
if you go and compare it to the industry
39:33
standards, that's compared to fifty to
39:35
forty to fifty percent
39:36
attainment. So this is significantly more
39:38
than what everybody else are getting out there. Yeah.
39:40
I've had so much fun with this. I will do a
39:42
quick fire round. So I say a short statement
39:44
arrow, then you give me your immediate
39:46
thoughts. Does that sound okay? Let's do it.
39:48
Okay, my friend. What does six Sasmeen tea.
39:50
I would say making my kids proud that that's
39:52
the most important thing for
39:54
me. The day will be part of me. I love that. What has
39:56
been a great father, the mean I think it's
39:58
everything. I'm spending a lot of time
40:00
with my kids although I'm running
40:01
a company that think that I like to
40:03
do the most is to spend time with my kids. It
40:05
means everything to me.
40:06
What opportunity have you not taken
40:08
with refactions now, Navan, that
40:10
you wish you had have taken? I think that had
40:13
I known how things aren't available
40:15
will happen after COVID, I would have
40:17
invested even more and be more aggressive
40:20
on gaining more share during COVID side
40:22
of
40:22
it. We more than tripled the business over Kobi that
40:24
would have gotten much more aggressive if I had
40:26
this side side of when Kobi do land and
40:28
in what kind of skill? What's the most pain
40:30
full lesson that you've been
40:31
through. But you're also pleased to have been through it
40:34
for the learnings. think it's really
40:36
scaling up the company be
40:38
fall COVID. We are going fast
40:40
by let's say year over year, very hyped.
40:43
And I think we allowed some people
40:45
to get into the company that are usually
40:47
joining the hype, and I've learned it the hard
40:49
way. Will never happen again. I'm happy that
40:51
they learned it, and I'm happy that also I did
40:54
the opportunity to reset it during
40:55
COVID. What's a single biggest tip you give
40:57
me on hiring. Hiring, first of
40:59
all, embrace the fact that you're gonna make mistakes
41:01
and just do the collection. Fast.
41:04
Where is AmEx in ten
41:05
years? Is this win and take school?
41:07
First of all, it's AmEx Ghibity, so that's the travel
41:09
side, and I don't think that they're gonna be around. I
41:11
think it is a winner takes all. Even if
41:13
it is not, the other one will definitely not
41:16
be AmEx. It would be a tech company
41:18
that is hypo servicing the
41:19
company. What
41:20
would you most like to change about the world of adventure?
41:23
Think there is something powerful here which is the echo
41:25
kind of chamber, but it's also what kind
41:27
of creates a lot of frustration. I think
41:29
that sometimes people need to open their minds
41:31
outside of silicon
41:32
valley. Final one, my friend. Twenty
41:35
twenty eight. Okay. We're gonna sit down
41:37
again. I'll be a silver fox
41:38
then. But twenty twenty eight. Well,
41:41
we'll be then. Pain that picture for me. I
41:43
think everything around us will be more
41:45
efficient because of AI and
41:48
maybe the opposite of what we think
41:50
all of us will be smarter because of AI.
41:52
Remember that we had this calculus computer
41:54
when we were kids and they're doing mathematics, I
41:56
think this is the new type of that
41:58
thing. It will make all of us smarter. Aero, my
42:00
friend. I've loved doing this. Thank you so much
42:02
for joining me, and this has been so much fun.
42:04
Thank you so
42:05
much. I really enjoyed it.
42:06
The time really, you know, flew by ear. It was
42:08
amazing. Thank you. I
42:11
mean, my word, Ariel did not hold back their
42:14
own predictions for Salesforce, 92BN or
42:16
Kinko. I absolutely love that. If you wanna
42:18
see more from us, of course, you can. On twenty
42:20
v c dot com or searching for twenty
42:22
v c. In YouTube, love to
42:24
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