**Wonderful's Agentic AI Playbook: the $2B+ Enterprise AI Company at 100x Speed with Dalibor Siroky — Transcript & Summary | SozAI**
Source: https://sozai.app/transcript/wonderful-agentic-ai-playbook-enterprise-ai-speed/

Dalibor Siroky discusses Wonderful's agentic AI platform transforming enterprise workflows with speed, security, and high agency culture.

## Key Takeaways

- Agentic AI is moving from pilots to real enterprise impact with autonomous and human-in-the-loop workflows.
- Security, compliance, and governance are critical to successful AI adoption in large enterprises.
- High agency and startup energy are key cultural factors for innovation in AI companies like Wonderful.
- A modern, scalable AI platform is essential to meet enterprise demands for speed and customization.
- The AI transformation journey is complex but offers significant efficiency and market expansion opportunities.

## What the video covers

- Wonderful is an agentic AI company focused on solving critical enterprise workflows with a model-agnostic platform.
- The AI transformation journey includes data foundation, pilots, and now robust agentic AI implementations with human-in-the-loop capabilities.
- Enterprises face challenges balancing innovation with security, compliance, and governance when adopting AI agents.
- Dalibor Siroky shares his career path from military to founder to GM at Wonderful, emphasizing high agency and startup culture.
- Wonderful offers a modern, heavily invested AI platform designed for enterprise scale and customization.
- The Australian market is concentrated, requiring quality and security focus in AI adoption.
- Agentic AI enables hyper-personalized services and new market opportunities previously inaccessible.
- Successful AI deployment requires guardrails, memory, context, and continuous monitoring for compliance and security.
- The future of enterprise AI involves flatter operating models and faster, more customized delivery at the edge.
- Dalibor highlights the excitement and challenges of working in AI startups and the importance of deliberate career choices.

## Chapters

1. 00:00 Introduction and AI Agentic Promise
2. 02:37 AI Transformation and Enterprise Challenges
3. 05:20 Security, Compliance, and Governance in AI
4. 08:09 Why Join Wonderful: Culture and Platform
5. 11:00 Building the Team and Market Context
6. 13:59 Speed, Customization, and AI Deployment
7. 19:20 Personal Journey and Career Reflections
8. 23:40 Future of AI in Enterprises and Closing Thoughts

Answers

## Questions about this video

What is Wonderful's core business focus?

Wonderful focuses on agentic AI to solve critical enterprise workflows using a model-agnostic platform combined with deployment capabilities.

What challenges do enterprises face when adopting AI agents?

Enterprises must balance innovation with security, compliance, governance, and ensure proper guardrails and monitoring around AI agents.

Why did Dalibor Siroky choose to join Wonderful?

Dalibor sought a high-agency, fast-paced environment with a modern AI platform focused on enterprise agents and a strong startup culture.

## Full Transcript — Download SRT & Markdown

00:00

Speaker A

You know, a billion-dollar business with a founder and 40,000 agents. It's now a 10x, 100x improvement.

00:06

Speaker A

The agentic promise has become reality. The reality lies somewhere in between those two. People can really overromanticize being in the startup.

00:13

Speaker A

The reality is it's hard work. If you're younger, got nothing to lose, give it a crack.

00:17

Speaker A

I think that's a really exciting thing about AI. It's high risk. Not everyone's up for that. It's a very exciting place to be part of that transformation. We built a product. We launched it.

00:25

Speaker A

Is there a next frontier of Wonderful that's exciting for you personally? Delore, welcome to the podcast. Thank you so much for your time and for joining me today.

00:34

Speaker A

Thank you. Pleased to be here. Lovely. You're at a very exciting point in your life. I would say after getting to know that you're also a Dunrun grad.

00:43

Speaker A

Us former military officers seem to be, you know, in the orbit of the tech world inevitably. But your journey really going from the early days into founder and now operator and you've joined a very exciting identity

00:56

Speaker A

startup, very new as the GM for A&Z. So I'd love to hear all about your personal story but of course, you know, why you really chose to join Wonderful at this point in your life and perhaps this point in time as well. So really excited

01:10

Speaker A

to draw all of that out today. Yeah, absolutely. I'll start with Wonderful. It's a wonderful name and what Wonderful is is a synogentic agent, you know, applied agent business. So, we're in the world of solving the

01:23

Speaker A

enterprise's most critical workflows from start to finish. We engage with the enterprise, we bring a platform and we bring the deployment capabilities in terms of the best and brightest people to apply agents within the enterprise to solve their critical

01:39

Speaker A

workflows. So, that's fundamentally what the business does. We sit on top of the models. We're model agnostic and it's all about how do we solve problems for the enterprise. I think the last few years everyone has been talking, well

01:54

Speaker A

maybe not the last few years but certainly the last 12 to 18 months everyone's been talking about AI. I think in the last 6 months the agent story has become so robust that you can't avoid it and it's so critical in

02:07

Speaker A

efficiency in the enterprise. And that's what we do. So in terms of the story, going from the green machine in the very early stages and then into corporate consulting and then building equities trading platforms,

02:24

Speaker A

starting a business, selling a business, happy to go through all that. It's very instrumental and informative to what's brought you to this point. So do appreciate that. I'd love to start though with the Wonderful angle. You know, I think AI

02:37

Speaker A

transformation today in the market can be seen as maybe fraught with danger, could be seen as very transformative in itself. When we caught up recently, I loved the, you know, seven habits of highly effective people. Let's start with the end in mind. And I think you

02:52

Speaker A

were anchoring on what would it take to be a two to three person organization and be a few billion dollars, you know, in revenue or valuation. And I think that's a really interesting optimistic philosophical framing to think about in

03:04

Speaker A

the future looking and sort of working backwards from there. But what's the reality on the ground today from what you're seeing?

03:09

Speaker A

Yeah. To touch on that, right? You've got enterprises that are 50,000 people doing things the traditional way.

03:16

Speaker A

You've got a really strong people management sort of structure and process and you're trying to deliver work and outcomes to the end customer by delivering either products or services.

03:26

Speaker A

And then you look at the future which is this sort of nana state which is which you hear on podcasts but no one's done in reality yet which is you can start a billion-dollar business with a

03:37

Speaker A

founder and 40,000 agents or whatever it is and max out your tokens and all of a sudden you've made a ton of money. So that kind of the reality lies somewhere in

03:48

Speaker A

between those two. And I think what we're seeing on the ground is pilots and co-pilots in the last, if I take back sort of two years I'd say data foundation and we know that AI is

04:02

Speaker A

coming. How do we set the data fabric, the data mesh, the data foundations within the organization so that it can be consumed by agents later on? And then we saw a whole bunch of improvements in analytics. We saw a

04:14

Speaker A

whole bunch of improvements around let's bolt on co-pilots and let's do a whole bunch of AI pilots. And that was probably all of last year. Companies opened up the tools and said go forth and multiply. Use whatever tools that

04:28

Speaker A

you want. And then a lot of them quickly shut it down when they worked out all the security vulnerabilities and the access that that had. And then I think what's happened in the last sort of 6 months is the agentic promise

04:42

Speaker A

has become reality where you can do whether autonomous or human in the loop you can do a lot more tasks in a highly sophisticated way that hasn't been available before and that's where we are now that the

04:56

Speaker A

pilots have finished or some are still underway. The Australian market is highly concentrated. So you've got companies that have a lot of room to move in this space. It's highly concentrated. There's a bit of a buffer

05:09

Speaker A

in terms of what they can absorb and they need to do things right. So there's a focus on quality and security. So what they're focusing on now is not just what can the agents do, but what does it do

05:20

Speaker A

to our security, compliance, and governance and the guard rails. I think they've seen the promise, they buy into the promise, but now it's what is that harness and the wrapper that sits around the agents that actually makes it

05:31

Speaker A

realistic to use. Yeah, that's the reality now. Yeah, for sure. For sure. I'd love to take a step back and just understand why you actually chose Wonderful out of all of the AI solutions, agentic applications today. What was it about

05:46

Speaker A

Wonderful that stood out to you? Yeah, I think look if I go back to my prior career I think I always felt like I was out of place in the corporate sector. I think

05:57

Speaker A

Dundrin was great, like people were operating a million miles an hour and in sort of high agency, high confidence and this view that in the army you just get told what to do. I found it a really

06:09

Speaker A

free environment in terms of agency to do what your tasks, right? Freedom within boundaries, here's the left and right of arc, go forth and do what you need to do. So I found it a high agency environment. Corporate I

06:21

Speaker A

found probably less so. And I always felt out of place because I wanted to operate at a much faster pace.

06:30

Speaker A

So I went through that and kind of worked out over an 8 to 10 year period that that's not right for me and then started a business where you can have a lot more control, controlling

06:42

Speaker A

the outcome. You can operate at the pace and urgency that you need to. Eventually sold that business and then found myself in the same environment where it's like here is a sort of a company that is very large and you know

06:55

Speaker A

large companies have their benefits but they also have their downside for individual agency. So I wanted to be very deliberate around the next opportunity and I looked at it and said well what's going to be on a

07:06

Speaker A

tear over the next 5 to 10 years? I think over the next 5 years, 10 years cyber and AI were the only two things, they were the only things getting investment. I was looking at why Combinator, what other companies

07:20

Speaker A

that are being invested in and every cohort had whatever it was, it just put AI in front of it but that was the I wanted to work, yeah, I wanted to work with AI and specifically agents and

07:32

Speaker A

my background was enterprise so it needed to be agents within the enterprise and then the next thing was I want to work on a platform that is incredibly modern and ca

07:47

Speaker A

the enterprise. Um so wonderful had a a massively uh invested platform. It is very modern, very capable. And then the third sort of piece was I want to work with amazing people. I want this sort of startup energy, the hustle, the good

08:03

Speaker A

vibe, um things that you see when you go into an office. You can just feel it, right? Like you can feel that energy.

08:09

Speaker A

And uh Wonderful had all of those things. Um, I I looked at, you know, when you look at the hyperscalers or others, they're just so big. Like, as a as a ex-founder, I I just wouldn't be able to fit in that environment. I need

08:22

Speaker A

to work in an environment where it's it's high agency, um, a lot of urgency, a lot of independence, and you can have impact on what you're doing. I think that's the critical part.

08:32

Speaker A

Yeah, I love it. And it feels like it translates into the culture and the DNA of the people that come into Wonderful.

08:38

Speaker A

um talking about upholding the standard and uh maybe the way you hire as the leader here in A&Z. Yes. Can you tell us a little bit about that? Definitely the the standard is very high. Um and and that's because we we need the best and

08:52

Speaker A

brightest people to deliver on the promise and that promise is we come to you with an incredible AI agentic platform and we come with a deployment team that actually understands in some cases your business better than you do

09:05

Speaker A

and understands the capability of what agents can do in your environment. Um so that's the the best and brightest. So we're looking at engineers, we're looking at CTO, we're looking at uh people that go to market, but it's all

09:17

Speaker A

about that intersection of here is the latest and greatest tech and here are problems that need to be refactored within the within the enterprise. So in in terms of the standard, we do a large number of interviews, which I think is

09:30

Speaker A

consistent with um uh most companies now. It's large number of interviews, but I think it ultimately comes down to what we're looking for is based on our values independence urgency agency and vibe. Like they're they're our core values, and I assess every candidate

09:47

Speaker A

based on that. And you can tell very quickly, are they a YouTube recording or a playback on 1.5 or five? Like, you know, that's, you know, maybe that's a proxy for urgency.

09:57

Speaker A

2x. Yeah, 2x. um are the candidates that you're interviewing, do they demonstrate that they're slightly risk tolerant or highly risk tolerant in terms of the positions that they've taken? If it's fully corporate or if they've worked in organizations that you know are slow,

10:14

Speaker A

you know, they're not going to have that urgency. So, um I think founders work really well. I think the latest stats I saw that we've recruited like 70 founders within the business. So it's a it's um highly sort of founder dominated

10:28

Speaker A

business and I I think that'll probably spawn the next set of companies once once uh wonderful reaches the lofty heights of where it needs to go. Um so that's that's the key thing is high agency, high agency, good independence

10:42

Speaker A

and um just really bright people. Yeah, I love it. Lots of founder mode running around.

10:46

Speaker A

Founder mode, the beast mode. That's very cool. Yeah. Um I'm really curious about the new archetype of tech company very much in the AI domain as wonderful is and even you touched on it lightly there Delabore in terms of the go to market

11:00

Speaker A

team the um full deployed engineers the CTO is the most technical person in the region and what we notice around a lot of the AI companies today is they have almost the center of gravity within the country um is that is that ab abnormal perhaps

11:14

Speaker A

to what we've seen in the past I believe there's a bit of a differentiation there and it's probably also proved by a few really really successful AIdriven companies very well known globally Palanteer being one and just that model

11:25

Speaker A

as it relates to an AI platform horizontal vertical use cases and the transformational impact it does have on the largest enterprises in the world I think the outcome almost necessitates that model um what's your experience been like in the in the first few months

11:37

Speaker A

in the role at wonderful as to rolling that out yeah it it's in it's in two parts I I'll I'll touch on the sort of the external and the operating part and then I'll touch on the internal part I think

11:48

Speaker A

you're right Palanteer uh was super successful with that model and everybody's copying it. Um if I take a step back and say look the last 1015 years were dominated with SAS platforms that is a here's a data store for your

12:02

Speaker A

enterprise data here is a workflow layer with business logic and here's a presentation layer and we'll we'll tweak the presentation a little bit but you're pretty much getting whatever the SAS platform offers. I mean Salesforce was a little bit different. Service Now was a

12:16

Speaker A

little bit different, but for most SAS platforms, it's take it or leave it with minimal customization around the edge.

12:23

Speaker A

So the center of gravity was held very close, you know, to to the headquarters of the business and where it was developed. And what you got at the edge was well, here's a very, you know, here's some go to market, here's some

12:36

Speaker A

customer success. Go to market is to sell your platform and then the customer success is to prevent churn. that that was the traditional model and now now the model is there's there's a lot more tailoring and engineering that's

12:49

Speaker A

required at the edge. Palanteer obviously dominated that. Um, but when you start to apply AI, you need to engineer elements at the edge. You need to train the agents, you need to code up the agents, you need to code up the

13:03

Speaker A

endpoints. So the level of skill and expertise required at the edge and I say the edge, it's like within country is pretty high. M um I I think we're seeing a lot of rebranding of for deployed engineers from the traditional solution architect

13:19

Speaker A

solution engineers, but unless your platform supports that where you can actually code and configure and deliver the outcomes very close to the customer, you're going to be stuck in the same thing. Um so the the wonderful model is

13:32

Speaker A

deploy in region, build up the region as as rapidly as possible. And we've we've built out 30 different regions or 30 markets uh in the last 6 months and the model's working really well where you work really close with the customer uh

13:47

Speaker A

you do the coding bring the best and brightest you sit with the customer and I think the other piece is rather than doing these really long proof of concepts or pilots you can configure an agent to do what it needs to do in

13:59

Speaker A

hours. Mhm. So the the speed of delivery as well as the um degree of customization that you have at the edge is is amazing.

14:07

Speaker A

Yeah, it's absolutely a different model, isn't it, from what was known 10 years ago. So yeah, um next frontier from from technology. Yeah.

14:15

Speaker A

Um switching tact a little bit just into back into the enterprise lens. You're working really with ASEX 200 companies as I understand it in Australia. Um what's the ideal sort of profile of company that might be ready to really

14:27

Speaker A

adop adopt a solution like Wonderful? Is it typically as you were describing before they have this readiness now?

14:32

Speaker A

They they've moved past the piloting and the awareness stage and they're they're really ready to maybe choose a use case or a workflow or or go into full partnership mode.

14:41

Speaker A

I I think they're they're already in full partnership mode or ready to choose. I think the the pilots were done or evaluations and and things like that were done largely last year. Um, obviously there's this slightly different acceleration and and some are

14:58

Speaker A

are far more advanced than others, but I I think what they're looking for now is how do I do it? How do I chalk up the efficiencies? And there's there's two things that are happening. One, boards are seeing us companies adjust their

15:10

Speaker A

workforce based on, okay, we've got AI coming. What's the what's the cost savings that you that you're chalking up? And everyone's doing AI, what are you doing? So, there's there's definitely pressure from the top to do something. I I think where we're seeing

15:23

Speaker A

the most work is rearchitecting the the use cases for them. So in a typical organization, we we target like we said the the ASX 200. We work with large enterprises. Uh we start with a pick a use case and then work our way through

15:40

Speaker A

to enhance that. Um really strong on voice and customer experience. So we can implement voice agents and chat agents within the customer experience. So anytime a consumer interacts with an enterprise we can we can do that really well. Uh and then moving further into

15:55

Speaker A

the organization all the HR and people processes where there's a lot of interaction um again voice and chat and back office use cases and then as we move even deeper in some of the core fundamental processes that drive the

16:08

Speaker A

organization can be identified. Um and that when I say by identified it's bringing agents uh in an applied sense to solve problems.

16:17

Speaker A

Yeah. Awesome. You gave me a couple of examples recently, Delabore. Have you got um a few of them?

16:21

Speaker A

Yeah. So, I think um uh you know, if I look at the the examples that we've done overseas, in other markets, flight changing is probably the number one airline use case from a customer experience perspective. Very very painful at the moment. Um you know,

16:34

Speaker A

painting the picture of what it looks like in a in a enhanced way. Uh you've got voice agents that are low latency.

16:42

Speaker A

You don't have to wait when you call someone. uh you can give it complex uh instructions. It can also change your hotel bookings and all your other bookings within the same transaction. Um and then it can you know whether it's

16:55

Speaker A

your insurance components that need to change. So that's kind of one example. Uh the other one that we see on uh insurance is claims processing super painful to do. You damage your car or something the number of touch points

17:08

Speaker A

that you have the longrunning nature of the transaction document validation uh that can be streamlined. So there's hundreds of use cases that we've that we've solved in a similar way. Uh and it's it's all about rethinking of how

17:22

Speaker A

you do this better. Not here are my constraints. This is why it's been done this way. I'm unlocking new technology.

17:29

Speaker A

How can it be done better? Yeah. Amazing. Is there an element of like first principles there? Just rearchitecting and new ways of doing the thing.

17:37

Speaker A

Yeah. I think I think the the way that we think about it as well is why are you tied to a screen all the time in a form that's been prepared by a c by someone, right? Like that whole interaction model

17:48

Speaker A

I I think is fundamentally going to change because you've got so many other ways of interacting. You can tailor the the experience so much better. you know, even just looking at some of the things that you see in co-work right now in

18:01

Speaker A

terms of the the immediacy and the insights, um, the real-time nature of it, I think people are starting to see what other interaction models that they have with the enterprise based on what's coming from the consumer side and it's

18:14

Speaker A

going to fundamentally change the way that people interact. Yeah, super interesting. It's almost like um just the modes of human interaction, right, being replicated in the in the computer version like it's most rudimentary level. It's like we're just at that next advancement of of

18:29

Speaker A

technology which is super interesting. Very cool. Um back to the um sort of profile of Wonderful. Um you know it's a very early stage startup only two years.

18:41

Speaker A

Yeah. About two years 18 months. 18 18 months old. Yeah. Yeah. 18 months. First 12 months building out the platform and then proving it out in the most critical use cases. And then last 6 months has been hiring out basically a a general manager

18:59

Speaker A

for each region and we've hired 30 I think it's like 30 at the last count's probably more than that now 30 um uh 30 regions that we've built out and by the end of the year will be a thousand

19:09

Speaker A

people so massive uh massively fast trajectory. Yeah, absolutely. And you're personally in A&Z going from like five people to 15 in the next couple months, right?

19:20

Speaker A

Yeah. So I I was the first one in region. Uh started uh towards the end of March and uh building hiring y interviewing a lot. Uh it's it's like I enjoy interviewing because I get to sort of meet all different people. Sometimes

19:32

Speaker A

it works out, sometimes it doesn't. Um but yeah, really good to see how different people have sort of structured their career.

19:39

Speaker A

Yeah, absolutely. And it's not just like a one uh silver bullet, is it? It's like as you describe risk on, risk off.

19:45

Speaker A

Yeah. the um personality type potentially they've done in their career. Um I'd love to know if you've you know people in the market today that are considering joining like a hyperrowth or an early stage AI type company like a

19:57

Speaker A

wonderful do you think that there's like maybe pro tips you have in terms of considering a move into if you've had a career in tech already or you're looking to get into the tech domain. What would you say about joining a company like

20:09

Speaker A

Wonderful? I think everybody thinks that the it's like we're going to romant romanticize the uh the startup world. Um the reality is it's hard work. Uh it's high risk and it can be high reward in a in an environment where cost of living

20:26

Speaker A

is higher. It makes it harder for people to make that transition. So I I'd say if if you're younger and you've got nothing to lose, give it a crack is probably the the first thing. And um I I think it's

20:39

Speaker A

harder once you you know as I've seen the profiles on once you have kids it's a little bit harder because you're probably more comfortable and want more spare time. This is a business where it's allin. Uh when I joined that was

20:52

Speaker A

one of the the key deliberations was I can stay where I am. You can do your work in less time. It's a lot easier.

20:59

Speaker A

It's there's a degree of comfort. And um the choice I made was I dislike com well I like comfort but I like agency and being able to have an impact more and and that means hard work. So every day

21:13

Speaker A

it's you're doing work that uh it's a lot of work and startups are a lot of work. Um it's high risk. Not everyone's up for that. So I I think it's good in the hiring process to to work that out.

21:24

Speaker A

Uh, and we've also had some that, uh, we've gotten through six or seven interviews and, uh, at the end they say, uh, I'm actually not up for not up for the challenge. It's too hard work. I'm I'm comfortable where I am. Um, I'll

21:38

Speaker A

come when it's a little bit later and a little bit easier. So, it's a it's a it's a DNA. You you either have it or you don't.

21:45

Speaker A

Yeah. So, early early in career or in the 20s, Twilight's only a little risk to take on or you're a successful founder with an exit.

21:54

Speaker A

Yeah, I I think it's um I think it's also like being deliberate about what you want to do and what you want to achieve. And I've seen it before where people say, "I want to work in a startup

22:04

Speaker A

and and they come and they it's like, well, where's where's the processes? Where's this? Where's the where's the assistants that do all these other things?" You just don't have that. It's you've got to be willing to do that work

22:18

Speaker A

on your own and and some people are and some people aren't. Yeah, absolutely. Um, I love the I love the DNA of the person that's very like entrepreneurial because I feel like that high agency and maybe it's a common

22:28

Speaker A

ground we have coming from the military where I agree it's like you have a operating environment but you've got the left and right of arc and you can be autonomous in a sense and I think that's carried through with my personal

22:38

Speaker A

journey. I went into SAP in a commercial sales role. I was like what have I done?

22:43

Speaker A

How did you go there? Yeah, it was a bit of a culture shock for sure. It's just like, you know, very big large tier one tech company, ERP provider, selling htm software into the mid-market in A&Z and I was just like, wow, this is just like

22:55

Speaker A

probably could could have done a little bit more research, but you know, high agency buyers for action. I just jumped straight in the deep end and thankfully found my feet in cyber security. It's been amazing and working in different profiles at companies. But

23:05

Speaker A

I think there's a lot to be said with a really understanding yourself first and foremost and also like potentially it's a hand-on hot stove thing. you you've got to find the environment that really works for you. And I but I do think that

23:16

Speaker A

founder entrepreneurial archetype that's within people when you recognize you have that that's potentially like a very very strong signal of like okay an earlier stage company a startup you know test the waters a little bit with a higher risk high reward sort of um

23:30

Speaker A

company is is probably like a very good bet. Um, but I appreciate it's also not for everyone and for I agree like people can really overromanticize like being in the startup and it's just like yeah it's it's hard work.

23:41

Speaker A

Yeah, it's a grind. It's you know it's um I shared this before I when I had my other company I'd been you know you do the morning shift then you have dinner with the family and then you do the

23:52

Speaker A

afternoon, you know, the night shift and and you you're working and post postacquisition I missed that. I there were a couple things that I missed. was I don't know why I went into my office after dinner because one maybe the

24:04

Speaker A

motivation wasn't there but uh also there was no one else operating at that time as well and then the other one was if I send an email or a message or a slack 6 7 8 at night I would get a

24:16

Speaker A

response pretty quickly not the next day so that was like what like people aren't like on the clock all the time and um yeah some people some people aren't up for that um the other thing about sort The the unexpected thing about Wonderful

24:32

Speaker A

is because it's a a business that's been built in the in the AI and agentic space. I think that the operating model and structure of how business is going to operate in that environment are going to be very very flat. The the

24:44

Speaker A

information within wonderful flows extremely fast. You've got everything interconnected. Everyone can see everything. It's fully transparent. So a lot of this this middle layer that's processing information flows between structures just doesn't exist. So the speed at which you can operate the

25:02

Speaker A

transparency it it's something that I just wasn't expecting. It's it's it's very beneficial. And I think you know layers layers I think when you when you go back to either military or even prior to that with the legendaries it was like

25:16

Speaker A

why are they why are teams structured of this size? is why they're seven layers of management or whatever it is is the optimal number and it's to enable those information flows going from top to bottom and across teams. We don't have

25:29

Speaker A

that. It's very very flat and I I think the the mandate is that it's going to continue to be flat because all the information is always available. So either horizontally looking at cross teams or vertically in terms of top to

25:41

Speaker A

bottom it information everything's known to everybody. Yeah, absolutely. So it's it's a it's a completely different paradigm. Do you believe that's at the at the heart of it like what the technological shift has been even like looking way back if it's

25:54

Speaker A

like um maybe scriptures in written form you know the definition of information technology has been like how does information flow and I think that's that's just advancing so much now where we're truly becoming AI native and and wonderful is probably a really good

26:07

Speaker A

example of that young company and it's like very flat right is this instantaneous access to information I think that's a really exciting thing about AI sort of moving away from maybe it into like AI form Yeah, I mean I I think um kind

26:22

Speaker A

of Google was first with sort of storage and uh content and and the hyperscalers came in on that and I think now it's the whole intelligence piece becomes uh goes back to what are you studying at school when intelligence is now free the

26:36

Speaker A

constraints are different uh storage was storage is kind of free now intelligence is going to be kind of free but tokenized but so it's a completely different model yeah yeah absolely Absolutely. And I'm sure the way you've got the operating

26:50

Speaker A

environment internal to wonderful also portrays when you're working and partnering with customers, right? Because you're helping them ultimately become AI native. You're not looking for that incremental 10% improvement.

27:00

Speaker A

Yeah. Back in the old day, maybe even if that was a few years ago, it's now like a 10x 100x improvement in something which is really you that's a proper like revolutionary or transformational impact that companies can now have with this

27:13

Speaker A

sort of technology. Yeah. Yeah. And I think the exciting part is what do you do with all the unlocked capability that you get like new business models, new services that are going to be offered. You know, there's, you know, I think about it as,

27:27

Speaker A

you know, Quantis VIP line, you know, line or something like that. You go, well, everybody's going to be able to have that level of service to a degree.

27:35

Speaker A

Whether whether they open it up or not is another thing, but everyone's going to get this hyper personalized service from the organization and you're also going to be able to unlock that to sort of markets that you previously couldn't

27:50

Speaker A

economically target. So I think the business models will change what gets offered to who gets changed. So it's it's a very exciting place to be part of that transformation.

27:58

Speaker A

Yeah, absolutely. Um voice like a gentic chat. Um, is there like a next frontier of of wonderful that's exciting for you personally, Dalore, to see it come to life as you build out the region?

28:09

Speaker A

The the voice stuff is amazing. Like being able to converse with someone and not be able to detect who it is. Like I can I put my wife's voice in it. It's just like it's it's unbelievable. and and the complexity of problem solving

28:26

Speaker A

and and what it can execute on the on the back end. That's what makes it magical because not only is it you're interacting with something that then gets handed off, you're interacting with something that's actually solving it across multiple core platforms. I I

28:39

Speaker A

think that part's really exciting. I think the um the people services are are good, but I think the back office transformation where you can start to see massive transformation to optimize how things are done and then unlock new

28:55

Speaker A

business models and value. I think that's the exciting part. Yeah, absolutely. Is there a certain value exchange or like a specific ROI you see that really works for these large enterprises when they're thinking about these type of capabilities? Yeah,

29:06

Speaker A

I think I think we kind of touched on it before where previously you had like a 10% uplift in productivity or a 5% and I know there's this sort of let's do 1% every day and you get to you know that

29:18

Speaker A

that equates to a massive number. I I think what happens here is that you're looking at the fully loaded people cost and then working backwards from that. Um and how that pie gets chopped up and and who who

29:31

Speaker A

captures what I think is different. But I think the the productivity benefits are you know 10 or 100x and we we probably haven't even looked at the the full extent of what the models can provide.

29:42

Speaker A

Yeah. What what's your perspective on there's there's a huge impact to the business and the entity you know board of directors the executives new ways of doing business capabilities being unlocked. What do you think from a human- centered perspective? Does it

29:54

Speaker A

what does it do to people's skill sets? Access to intelligence being a bit more omnipresent in the future like I I I think it levels the playing field and you know I I think that if you're super smart right now like me, I'm not

30:07

Speaker A

saying I am, but like I always thought my capability was around uh being able to look at a problem, decompose it, match out the patterns, and rebuild that into something that I can then communicate to someone else. that skill

30:21

Speaker A

set that I have totally useless and invested a lot of money developing it. Some of it was maybe native, some of it was education. AI can do that a thousand times better than I can. My skill set then changes to how do I switch that out

30:34

Speaker A

to more people interaction. So I think what we're going to see is more people interaction with with supplementary inputs like I'm sure coming into this you'd probably prompt I'm meeting this person give me the detail of what I need

30:47

Speaker A

to you know what's their background and what are the touch points. So, so I think the supplementary stuff that you get is going to make the human interaction more valuable and I think people are going to change roles. I mean

30:58

Speaker A

I interview probably 80 people a week and as I look at them it's very easy to determine are you processing information up and down the information hierarchy within the organization or are you producing something? I think that to be

31:14

Speaker A

more valuable the human part of it is a gentic AI and AI in general will unlock people so that they can focus more on production production or human interaction and they'll be supplemented with the capabilities that are provided.

31:28

Speaker A

Yeah, absolutely. From a from a hyperco competitive perspective, you know, it's um you're very much at the tip of the spear in terms of capability and technology.

31:35

Speaker A

Um what what's how do you actually distinguish between fact and fiction in a sense? You know there's a lot of hyper bowl or marketing gloss around aentic capabilities today.

31:45

Speaker A

How do you truly, you know, as a business leader really distinguish the true capabilities of a new innovation or platform when there is a lot out there?

31:54

Speaker A

Yeah. So I'd say everything on LinkedIn is is probably autogenerated. Uh, I think I think every technology leader has probably rebranded themselves or at least inserted some AI based AI content in in their profile. Um, I I think

32:11

Speaker A

what's really is the is the interaction with the customer. Like I I listen to a couple of things, but most of the time it's interaction with customers, working with the enterprise. What are they working on? What's valuable? Where are

32:23

Speaker A

they seeing pain? How can we help unlock that? That's that's the true test. Um I think everyone's an expert uh with everything. Um and and we see that through um uh through things that are published on LinkedIn. Like everyone's

32:37

Speaker A

an expert. Everyone's publishing around AI. The reality is there's there's probably, you know, if I look at a 200 companies in Australia in terms of the sort of the the leading the leading companies, it's what they're doing dayto-day to solve their customer

32:52

Speaker A

problems through AI that's important. Yeah, absolutely. that element of customization you spoke about available at the edge for organizations. Could you tell us a little bit more about that?

33:01

Speaker A

How does that come to life? Why is that different perhaps? Yeah. So, so I think um we we do it in two ways. One when we deploy agents, those agents are highly configurable so that you can have a conversation, you

33:13

Speaker A

can load in a lot of information. Uh the context can be shared or or or localized. Um so I think in terms of the work that the agent does, there's there's tailoring around that. I think the the other part is then when you when

33:26

Speaker A

you look at an agent, it doesn't work in isolation. You need the guardrails, you need the harness, you need the memory and the context, you need the the security and compliance, you need the governance, you need someone monitoring

33:37

Speaker A

the agents. Uh and then you also need uh endpoint access in terms of security. So it there's a lot of work to do to actually bring it to life and um it's not simple. So having the having the

33:52

Speaker A

forward deployed engineers on site with the customer. So the way that we we we go to market is that uh we identify some use cases uh CTO forward deployed engineer deployment strategist go on site with the with the customer and

34:05

Speaker A

configure the use case in real time. So by the end of a day or two you can actually see that agent working and you can compare it to the the standard way that people complete that use case. um

34:16

Speaker A

evaluations measurement does that is it typically come to life differently for organizations or is there some common structures yeah I think I think it um it depends on the the use case itself like if it's uh voice it's normally containment rate how

34:33

Speaker A

do you solve it um how how many uh non-compliant with the monitoring of the agent uh as you get to sort of the the people based services it's probably like number and resolution times and I think what you find is that the the resolution

34:48

Speaker A

time goes down and the and the case containment uh goes down as well. So the case containment is is uh more robust and then personas within the organization are you um typically interfacing with you know more technical stakeholders

35:02

Speaker A

executives is it maybe a big shift that you're seeing just with AI and the agentic capabilities it brings maybe touching multiple stakeholders what does that typically look like in terms of engagement model I think the Australian market's a little

35:13

Speaker A

bit different in that there's there's typically a coalition of the willing that needs to be uh needs to be found at the executive ative level to to get it in. Um I I I think every CEO has some

35:26

Speaker A

level of we must do AI and we must transform. They what I've seen I look back the last 5 years there was always a digital transformation or a transformation lead. Um now we're seeing AI transformation lead. I I think

35:42

Speaker A

they're the the change agents within the enterprise that are changing. Um, but then you've still got the the technology teams, CTO, CIO that need to actually execute a lot of the time. And then you've got the the business side. So a

35:55

Speaker A

typical engagement there'd be a transformation person, chief transformation or chief uh digital and AI officer or something like that. Uh there'd be for example the the exec that's responsible for customer experience. Um maybe that's on the retail or the business side. uh and then

36:12

Speaker A

you'd have the CTO or the the person uh below that looking at it and that that's kind of the coalition of the willing um if and then it depends on the use case.

36:22

Speaker A

So if you're rearchitecting a claims process, um maybe it's the person who's sort of functionally and business responsible for claims management, owns the call center, owns the team, owns all the processing part. Um but the the chief digital and AI officer or equivalent,

36:41

Speaker A

we're definitely seeing that in most enterprises now. Yeah, absolutely. It's a very very common title, isn't it?

36:48

Speaker A

Um how about from a um you know we were sort of joking earlier about the the frameworks and the udaloop from the military. Um you know you're describing coalition of the willing just maybe from from the school of sort of enterprise

37:02

Speaker A

sales you know we very much sort of grow up on on the med pick sales methodology and framework um and even you know army having the best leadership training institution in the world. Um, I feel like in the in the AI era, there's

37:15

Speaker A

almost like an element of there's not just like a playbook to roll out. It's like you have to be a little bit more judged and a bit more intelligent around the way you solve the problem just maybe just because of the

37:25

Speaker A

you know the flat structure and the AI native and the distillation of information is all accessible today.

37:30

Speaker A

Would you say that's would you say that's the case from your experience? It's not necessarily rolling medic over the stakeholders and stuff. It's more like that true partnership. There's a newer way to do things. Yeah, I think there's a new way to do things and you

37:42

Speaker A

need to you need to be the human in the loop doing it because what you could do and it's the same with candidates, right? Um if you take the candidate model where well I'll have a candidate I'll have AI generate generate my resume

37:55

Speaker A

and then on the other end I'll have the institution analyze the resume and uh then make a decision with AI. And so it's like there's there's no human in the loop there. Um it's the same thing with um uh RFPs, right? Like you'll say,

38:10

Speaker A

"Well, I'm looking at this particular technology. Chat GPT, write me the write me the RFP document and then you send it to a vendor." And the vendor will say, "Well, evaluate all my content against these RFP things." And it's like, what's

38:23

Speaker A

the point? Like, you know, without the human in the loop, there's no nuanced answer uh in terms of how it should look. So I think I I think it's the personal connection now that's that's way more valuable than just here's a

38:35

Speaker A

checkbox here are particular vendors and and that's why we pitch ourselves as a as a partner rather than a vendor. I think once you're going down the vendor path it's just not it's just going to be check boxes in a particular category and

38:46

Speaker A

it's very very difficult. Yeah, I think that deployment model supports that too, right? You're literally on site, you're you're truly partnering with a customer at the end of the day when you're realizing a new opportunity or new way of doing things.

38:57

Speaker A

It's just like that not so much helping or solving a problem. It's just like the whole model changes.

39:02

Speaker A

Absolutely. Flips it on its head. Yeah. What are you most excited about with the wonderful opportunity DO three months in at this point?

39:09

Speaker A

Yeah. Three months in. Um I I'm excited every day to work with the people that I work with. That's that's number one. And then the the second one is I'm excited to you know I think at heart I'm a sort

39:20

Speaker A

of an optimist around optimizing thing optimist around optimizing I I really look forward to bringing the technology to the enterprises in Australia. Uh the transformation that we can bring uh the benefits that acrew to the organization and the benefits that acrew to the end

39:38

Speaker A

customer. I think that's the really exciting part. Yeah absolutely. Yeah, it's a really exciting place to be right now in terms of uh Agentic. It's early but uh the benefits are there for sure.

39:48

Speaker A

Are you doing still an element of like awareness and education in terms of like the future looking capabilities? Cuz I know that there's like a maturity cycle.

39:55

Speaker A

You know, one of my favorite quotes is the future's already here. It's just not evenly distributed.

39:59

Speaker A

I'm sure you're always navigating that, right? One foot in each camp. Yeah. Simultaneous. Look, I I think no one knows what the future holds, right? like that that's that's the hardest part is with with this things things I think

40:11

Speaker A

arguably always take longer than expected. Um I I'm optimistic that the technology that we're bringing is delivering immense value to the enterprise and that's that's what we're focused on just delivering that value.

40:24

Speaker A

Yep. Absolutely. Um what about your leadership experience and maybe what out of the you know your founding journey um you thought something maybe three or four years it turned into a 12 year you're very much working in the DevOps

40:37

Speaker A

space it does feel a bit tangential in the sort of newer area too. Yeah, look I I think um so I started a business uh so I started off equity building equities trading platforms then built uh internet banking platform then became CIO within

40:51

Speaker A

an investment bank uh and then moved to uh do a startup but we we kind of at the time thought this will be pretty quick you know I I think the the startup space in Sydney was like booming at the time

41:07

Speaker A

uh everyone was thinking about doing a startup we we put a date in the calendar and said uh this is the date we're going to quit our jobs and we're going to start this business. Uh so very exciting

41:17

Speaker A

times. Uh we thought look this will be four years. Um I I think the four years meant four years of not getting paid in the early stage and then um ended up building it take you know we we built

41:29

Speaker A

the product we launched it we had a customer in the UK a customer in so customer in Brussels customer in the US and customer in Melbourne was like first three customers. Instantly we were spread globally. Um the product was uh

41:45

Speaker A

it was in the DevOps space. Uh it was around optimizing how enterprises release software uh how they manage their underlying test environments and then ultimately how they manage value streams. So it was an optimization uh technology.

42:00

Speaker A

Um yeah, four years turned into 12 with co and um then sold it into a private equitybacked uh US company uh you know another great company great CEO there. I I I think that journey was around one again it was enterprise customers we

42:18

Speaker A

were helping customers how do you optimize a particular work stream within that within the organization I'd say wonderful is a much broader and ambitious approach where it's like we can help you optimize any process um for that it was just software delivery uh

42:34

Speaker A

that was the that was the constraint at the time I think that you know on reflection one of the things that when When I looked at optimization back then, it was how how do you why are you optimizing? You're optimizing because

42:48

Speaker A

you've got all these constraints. You've got valuable resources. Um so you need to you know put in checks and balances along the way. When when the constraint shifts and cost of um sort of the cost of agents are introduced instead and

43:03

Speaker A

you've got that arbitrage between people and agents, the the constraints not there. you're producing so much more in every dimension. It's like you're working what what do I take and what do I uh what do I throw out? Like right now

43:16

Speaker A

it's like I need a PowerPoint slide. Can you produce five different variants and I'll pick one. Like I think the same thing is going to happen within the enterprise to some degree provided the token cost remains the same. Um the

43:27

Speaker A

constraint shifts and I think as you move into optimization, it's about optimizing the the end experience for the customer.

43:35

Speaker A

Yeah, absolutely. Are you typically seeing like multiple agents working together to get the outcome?

43:40

Speaker A

Yeah, totally. I think I think that's the other thing that the agentto agent protocol is absolutely critical, the harness, the governance. Um, and I I I think that's where um customers always have the choice. Do I go with a

43:52

Speaker A

hyperscaler? Do I go with a toolkit uh from uh one of the one of the other vendors? Um we provide an end to-end platform. It's the harness, it's the agent, it's the governance, it's the metrics, it's the outcome, it's the

44:06

Speaker A

policy uh that that is enforcing the behavior of the agents. I kind of think about it as sort of ideologically as if I was building a HR platform for agents with I've got an onboarding, I've got performance management, I've got

44:22

Speaker A

behavior management, I've got sort of uh what's the the PIP thing? What's that? Performance improvement plan or something like that. um all of those capabilities you have to do for agents like I've got to and for an employee I

44:35

Speaker A

need an access card for this particular agent I need access to particular systems. So having that all encapsulated within within one platform means that you can you can deploy that a whole lot faster than trying to do it peacemeal by

44:47

Speaker A

just saying look I've got an agent now I've got to pick up context from somewhere else now I've got a security provider somewhere else. It's just a whole lot faster and easier for the customer. Oh, the endto-end comprehensiveness of having that

44:58

Speaker A

allin-one must be just like very refreshing as well for the enterprise. Yeah. And with the people as well, right? Like that's the other part is that someone sitting with you to to deploy it with you every day.

45:07

Speaker A

Yeah, absolutely. Expert on that platform deployment like helping to actually transform. So it's very very cool.

45:14

Speaker A

Is there an immediiacy to the what's next for wonderful in terms of use case or um application? I know it's early days very probably one of the earliest days you know. Yeah, I think um if if you look at Australia, it's a it's quite

45:26

Speaker A

a concentrated market. Um I think like the first 30 customers, it's like financial institutions, telos, insurance company, then airlines.

45:38

Speaker A

So you look at that, there's probably like 40 customers within that and it's they're they're all engaged and we're working with them to to deploy on that.

45:45

Speaker A

Um so the the immediiacy is reference use cases in country like that's the that's the number one.

45:50

Speaker A

Yep. Absolutely. And you can absolutely grow from there, right? Yeah. Absolutely. Yeah. Very very cool. Um if anyone uh in the enterprise ASX 200 companies wanted to find you, what's the best way to reach you and the team?

46:01

Speaker A

Yeah. Website, but also Deli at wonderful.ai. Yeah, love it. Very, very cool. Um and I'm sure you're growing the team quite exponentially. Lots of reference use cases to come. Um and very much look forward to to seeing what's going to

46:12

Speaker A

happen within the Australian landscape as it applies to a gent capability. Um I feel like the Australian market is also very um forwardleaning too like having to take on risk perhaps you know very much leaning in terms of culture of

46:23

Speaker A

innovation. Um I don't know if that's been your experience too. Yeah I I I I I think I think it goes to the concentration of the industries in Australia. It gives them a lot more capital to deploy on doing things right

46:37

Speaker A

and doing it really well and innovating. I mean the CBA just had its um AI summit uh last week. Sam Alman and and Matt Coleman, it's like that's, you know, as as forward lending as it gets, right?

46:50

Speaker A

Um I I think when you're dealing with financial institutions other than the large ones, like we got to remember that the US has a lot of regional banks. So trying to get projects and payments and other systems over the line is is quite

47:03

Speaker A

challenging due to the concentrated nature, forwardleaning, a lot of innovation. I I think it's people sometimes forget like just payments and banking and and uh like we're lucky here.

47:16

Speaker A

Yeah. The industries and the companies that we work with are world class. Yeah. Absolutely. Very very forwardleaning I would say for sure.

47:24

Speaker A

Yeah. Very cool. Um to wrap up Delivore um what would you say is if someone's considering AI transformation and is sort of looking to really deploy and get these capabilities like rolled out in the enterprise um what what from your

47:38

Speaker A

experience what sort of parting words of wisdom would you have for that decision-m process? I I think at a macro level you're either disrupting or you're being disrupted like that's you know that's been said many times before. I think the other

47:50

Speaker A

part is speed of execution is absolutely critical at the moment and having working with a partner that can actually bring the platform and the people all in one. I I think that's a no-brainer.

48:02

Speaker A

Yeah, absolutely unmatched in my opinion. Awesome. Deliverable. Well, thank you so much for joining us on the podcast. Really excited to follow the wonderful journey very very closely. Um and I'm sure it'll be a superstar a great team uh in no time and and it's

48:16

Speaker A

very exciting to see where this transformational effect can have an impact on the Australian organizations and wider society too. So look forward to supporting the journey.

48:23

Speaker A

Thank you Gabe. Really appreciate it. Thanks Salore. Thank you.

Topics: agentic AI enterprise AI AI transformation AI platform security and compliance startup culture Dalibor Siroky Wonderful AI AI governance enterprise workflows


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