Turning Two Hours of Document Work Into Eight Minutes With Templafy

[00:00:04] - [Speaker 0]
What would your working day look like if a document that once took two hours could now be created in eight minutes? Well, today on Tech Talks Daily, I'm joined by the chief product officer at Templify. And together, we're gonna examine what happens when AI agents move from experiments into everyday knowledge work inside familiar business tools. And Templify's usage data suggests enterprise agent adoption has risen from virtually zero in October 25 to 53% by June 2026. It's a phenomenal start there.

[00:00:45] - [Speaker 0]
And I remember when I was at the Google event earlier this year, they said this year all our announcements are around AgenTiKi, whereas last year, it wasn't even mentioned. So it's clear that something big is happening here. Then my guest will explain where the time savings come from, why humans remain responsible for judgment and that final review process, and how company knowledge, brand rules, and proven content can prevent faster creation from becoming faster chaos. And we'll also discuss everything from pitch decks, tenders, PowerPoint, token costs, and why productivity matters most when it creates capacity for the work that drives revenue. But enough for me.

[00:01:30] - [Speaker 0]
Let me introduce you to him now. So thank you for joining me on the podcast today, Oscar. Can you tell everyone listening a little about who you are and what you do?

[00:01:43] - [Speaker 1]
Thank you so much. I'm I'm happy to be here. I'm Oscar Constantijn, and I work in Templify where I work as the CPO, but both of us responsible for our product, but also our technology side of things, actually. And I think that's very much on difficult to almost divide those things these days with, like, AI. And I I don't think we've ever been living in a time where product is also so much influenced by what is possible by the tech.

[00:02:08] - [Speaker 1]
Right? It's it's quite amazing to see how technology advantages just month by month means you could do more things in the product in that regard. And we're doing that just for context and and simplify. What we do is, like, we are the leading agentic document generation platform, basically, in in the world. And what we do differently than most other ones, doing documents, is making sure that how do we make sure the organization actually stay in control?

[00:02:36] - [Speaker 1]
How do you make sure you actually curb your AI? We talk a lot around to make sure that the company DNA you have in your organization, all the institutional knowledge, how do we make sure that that actually gets applied in the documents you're creating so that you can actually use them for some for for business rather than just using as a pretty presentation that you can show your colleague.

[00:02:56] - [Speaker 0]
And there is so much noise around all things AI at the moment. There's a few reasons I was excited to get you on the podcast. One of them was that I saw that your data that showed that AI agent adoption among enterprise users jumped from virtually zero in October 25 to 53% in June 2026. How do we talk about just how much changed so quickly? So tell me more about that.

[00:03:21] - [Speaker 0]
What what does it suggest workers adopting oh, stop again. And just do you think this suggests workers are adopting agents because they can finally see tangible value rather than just responding to the AI hype? Because it feels like we've been on quite a journey. We're no longer just asking it questions. It's now becoming almost a a digital colleague working alongside us.

[00:03:42] - [Speaker 0]
But I'm curious what you're seeing in all that data.

[00:03:45] - [Speaker 1]
Yeah. Definitely. I mean, the AI hype stopped, like, thousand years ago. Right? And it did definitely did take a car idea, I think, before, like, just to, like, send out a prompt to get a response got adopted into how people work.

[00:04:00] - [Speaker 1]
And I think that's the the similar curve we're seeing with them, like, going from just AI to AdemSig and actually having agents working for you. It started somewhat '25 beginning of of twenty five, like, lot more having autonomous agents actually doing stuff for you. Right? But it did take a while because before people use this organization exercise picking up because they need to figure out how does that actually fit in, what are the right data to feed them, what is the what are the good tasks that I could give to it, and what are the good tasks to not give to an agent for that matter as well. Right?

[00:04:32] - [Speaker 1]
It's we see a lot of different experimentation these days. And out of like, a small subset of that is that actually ending up in the real tangible business results, I would say. And that that's almost 53% of you already seen today that are a lot of business result, but it's quite interesting how the how the market is working these days. There are so much experimentation with skill creation and, like, individual people are just writing their own guides through the agents. It's some extent, it's quite similar to what we did see, like, per like, ten years ago when Templafy actually started.

[00:05:09] - [Speaker 1]
There was a lot of movement from on prem into the cloud, and there were so many people who've been writing a lot of different things on prem and, like, into in document world, we talk about VPA a lot. Like, people sit writing their own scripts to to make sure that they they could have some business process working. And I think that's what we're seeing right now, that that's a lot more of taking those individual scripts, taking a lot of those, like, individual people finding some productivity gain, and how do you actually professionalize that, basically. How do you make sure you find software? How do you figure make sure they find someone actually can take that personal script and then take it into an agentic world, basically.

[00:05:48] - [Speaker 1]
Yeah. So that's very much what we what we're trying to do in Simplify as well.

[00:05:52] - [Speaker 0]
And I'm curious. Have you seen people go on a journey and and overcoming fear of plugging everything in? I know from there will be people listening the idea of, I don't know, plugging their calendar, giving access to their inbox, their shared drive, and and plugging it all in to get the most out of the agents. Are you seeing people overcome that that fear side of things now?

[00:06:12] - [Speaker 1]
I think we on the personal side, we actually do see that quite a bit, that people are getting comfortable with that that part of it. What the the unfortunate part is that that is actually not where you get the most benefits out of at at agents these days, especially not when it comes to creating documents that actually needs to go out of the house and so on. Because a lot of that information does not necessarily live in your calendar. That's more the day to day documents you would be creating from those. Right?

[00:06:40] - [Speaker 1]
It's way more, like, all your, like, different systems, whether it in your CRM, whether case management, or, like, financial state systems, or what it might be, all your different content and so on. And those are actually like, lot of organizations are working hard on it, on how to connect those in. But that's actually where the biggest struggle is because a lot of systems are not necessarily built for the the agent error, the genetic error. So that's also where we we are spending a lot of time actually to simplify on how do you connect all these different parts. Like, we have we are just so fortunate that we have been building on that part for a long time because that has been very much how you've been building documents forever.

[00:07:20] - [Speaker 1]
Like, how to take pieces of information from all kind of different places and stitch them together in a way that actually makes it usable. And that happens to be we can reuse a lot of that technology that we have already in place to then make sure that you can actually bring that into AgenSig era and connect the different systems that you have around your organizations. Because that's definitely the biggest challenge. So many whether that be homegrown or small systems or proprietary systems that are not necessarily easy to to connect into the rest of your Gen six system. Right?

[00:07:52] - [Speaker 0]
Yeah. A 100%. And anyone that is sat on the fence around this, I mean, the productivity numbers are striking with median document creation falling from two hours to just eight minutes when agents are involved. So what is actually happening during those eight minutes, and where does the human add the the most value once most of that production work disappears?

[00:08:16] - [Speaker 1]
Yeah. I I mean, it's really amazing to see what you could do with with agents that way. Right? But Yeah. It's just such a massive difference and also, like, a productivity gain that even though we've been in the the game for a long time, never seen those numbers go down that that much.

[00:08:31] - [Speaker 1]
So a lot of work, of course, on documents. They go into, like, the creative thinking, like, what gathering the right information and so on. And those we are not taking that much away. Like, that still needs to happen. Right?

[00:08:43] - [Speaker 1]
So that's why humans still play a massive role, and that's also especially, like, when talking about professional services and similar type of companies. Right? That's the business. That's how they actually provide value to their customers. That is to make sure that what is the unique take they have on this problem.

[00:08:59] - [Speaker 1]
But all that grinding work, basically, around finding the right content, finding the right information, making sure things are aligned, making sure the structure is right, and making sure that the you are doing things based on best practices for that matter. Right? That is something that we see quite a bit on. Like, when you create a proposal, when you create a pitch deck, like, order should your slides come in? What is the right way of talking about a specific problem?

[00:09:25] - [Speaker 1]
Should we show data first or should they show data later? Like, leaving all of that hidden knowledge to the AI because that it can actually contain all of that, especially when the organizations able to define that and then make sure that applies and curbing the AI that way so that it applies to it. That leaves so much more space to the user, the employer, to actually focus on what they get paid to do. That is to think those original thoughts on how do we solve the problem for our customers, basically. Right?

[00:09:55] - [Speaker 1]
So that's very much on the on the front end of of the process. Then there is still some work. I think we we're not there yet where AI produces ready to go documents. Like, there, you need to have a bit more rules applied and, like, blocky, we we have just like this grading scale or sliding scale where you can have more and more rules applied depending on on how much certainty you have, what you wanna wanna do. But most AI documents still need some kind of review and still some kind of drafting.

[00:10:24] - [Speaker 1]
You might be getting to the sixty, seventy, 90% even. So there's still some final touches in the end, whether you, of course, can get help from AI on that part, but but make sure you have the starting point and you have the ending point. That's still human driven at this point in time, at least.

[00:10:42] - [Speaker 0]
And pitch decks, company communications, sales materials, and product road maps, making reports look pretty. These are just a few of the areas that most common documents are being created by AI. But if we zoom out from this and what people are using it for, what does it tell you about where knowledge workers are are comfortable handling work to AI agents, and and where are they a little bit more reluctant to do so?

[00:11:09] - [Speaker 1]
Yeah. And I think one is maybe even thinking less around where they're comfortable around it, but also what is AI actually good at. Right? It's what are the gaps that we spend a lot of time on doing before that now we could do in a in a better way, basically, that we were limited on before because you've always been able to automate documents. Like, we have been in that business for a long time.

[00:11:28] - [Speaker 1]
And classical automation for that matter, like, that still applies quite a lot when you go into something like engagement letters, like contracts. But if you just you need things to be the same every single time. You don't wanna leave it to chance if you have to write legal disclaimer in your document because you will get fined for it. Right? But where you have a little more a bit more creativity or, yeah, creative freedom, those are the type of documents where it was you cannot really put it on a formula exact formulas.

[00:12:00] - [Speaker 1]
You can use rules for how to apply them. But at the same time, you wanna make sure you are doing the best of the best. How do you apply all that information about what works and what doesn't work that is a priority to your organization. Right? And I think that's what is quite common amongst those like, you mentioned pit stakes and sales materials and so on.

[00:12:20] - [Speaker 1]
Right? There's no right answer, but we do have intrinsic knowledge in the organization about if we do it this way, it works really well and we win. If we do it this other way, well, then we probably lose. And so there's no not a strict folder, but that's really good recommendation. And that was the type of documents that cannot really reach before a gen c came into the picture because, yeah, there's not rules, otherwise, you just have to leave the line of human to do all of this, basically.

[00:12:48] - [Speaker 0]
There's also an obvious temptation for many leaders who might be listening to look at that eight minute task that previously took two hours and immediately calculate that huge productivity gain. But does time saved automatically translate into business value, or should organizations be possibly measuring something more meaningful than just hours recovered?

[00:13:10] - [Speaker 1]
Yeah. I mean, the it's, of course, the the easy measurement. Right? That is two hours to eight minutes. Amazing.

[00:13:17] - [Speaker 1]
And you should not discredit that. But I do think what is actually more important, especially these days where there's, like, a lot of competition in the market as well in the world, where one thing is how can you get more efficient, but it's more more so around how can you get better results out of it, how can you get more results out of it, how can you grow from actually that productivity gain?

[00:13:38] - [Speaker 0]
Yeah.

[00:13:38] - [Speaker 1]
So that's what we most of our customers when they come to us is actually not around how do we save cost. They will do that in any way, but they come to us because they have some kind of a bottleneck issue, basically. Like, one of the the typical ones, it's a big accounting firm coming to us where they said, we have thousands and thousands of tenders we cannot participate in because we simply do not have enough hands. It takes too long time for us to create these proposals. And we know, like, the win rate is 10%.

[00:14:11] - [Speaker 1]
We know if we participated, we would win 10%. That's a good business case. We just cannot get the right people and enough people to do that. So we need to increase the velocity of and capacity for how many documents we actually put out in the world, basically, and how many tenders we can participate in. So that is what they they came to work with.

[00:14:30] - [Speaker 1]
So it's the velocity plus you're relying on humans to do all the right things to make sure that you are if doing the things actually make you win that tender. Right? If you can use the AI that can have a lot more information and much more guidance from the organization about what makes you win and what makes you not win, that also means your win rate actually goes up, basically. So higher velocity with better win rate, that's actually more often what people come to us with because, you see, that is what you can get those productivity gains will result in that increased growth, basically.

[00:15:06] - [Speaker 0]
Wow. I can hear a few light bulb moments going off there. That's an ability to increase the amount of tenders that our business is involved with. Incredibly cool and a great way to look at it there. And elsewhere, there is a risk, I suppose, that faster content creation could create another problem, and that is businesses producing far more documents, presentations, communications that anyone can realistically review, not to mention the storage costs and compute costs that go with that.

[00:15:33] - [Speaker 0]
But how do organizations prevent AI productivity from coming, I don't know, just adding to that AI generated noise that we keep hearing? And and who remains accountable for the accuracy, the quality compliance, and and brand standards across all these content being created? Any any advice you can offer on what you're seeing here?

[00:15:54] - [Speaker 1]
Yes. I mean, it's it's a real issue, I think, first of all. Especially with, I mean, so many tools nowadays can create a pretty presentation. Basically, they can create a pretty document. That's like the AI slop of documents and presentation is incredible.

[00:16:10] - [Speaker 1]
Right? One of the I don't think there's any doubt at this point. Maybe we'll get to another point in the in the future. The human sending off that document, sending off that letter is still responsible for it at this point in time. So what we can do is how do we make sure that the risk of them being an issue simply is too little little enough.

[00:16:33] - [Speaker 1]
Right?

[00:16:34] - [Speaker 0]
Mhmm.

[00:16:34] - [Speaker 1]
And what we have seen is that there's a lot of different material actually being created by AI that doesn't need to be created by AI. Like, you have and as an organization, like, in professional context, it's a bit different when you're a private person and so on. But in when you're in businesses, then you have so many different documents already. You have so many different slides that you actually would prefer to stay the same. I think my most classical example is, like, the about us story.

[00:17:04] - [Speaker 1]
Like, you don't want the story about who you are as an organization and what is the value proposition you have. That should not change from customer to customer to customer. You want that to actually stay consistent because that is how you drive the most drag value and how do you make most consistent message to your whole customer base. And there's so many different types of those, whether that being good designs of a slide or actual the content or imagery or what it might be, that is already out there. So that is what very much what we are also trying to do in Simplify.

[00:17:39] - [Speaker 1]
Like, how do we not go it it's owned like, AI the highway, basically. How do you make sure we use the best of of the whole ecosystem that we have available. Right? Using rules or by rules are best, using existing content and pull that in for where that actually makes sense, and use AI and agents to orchestrate all of that and figure out, should I use a slide that already exists or should I actually create this one from scratch? And if I create it from scratch, probably feed it back to the repository so you start having that positive cycle of best good performing concept, basically.

[00:18:13] - [Speaker 1]
So I think that's very much what what we see a lot of customers are are asking for, actually. Like, how do we AI is great, but how do we make sure we get that consistency that you would expect from an employer doing this because they know how to do things and and where to get the right things, right type of slides, right type of imagery? How do you make sure you get that that applied to the agent as well. So it doesn't have to create everything from scratch, but only the things that doesn't exist yet, basically.

[00:18:41] - [Speaker 0]
And you guys have always been ahead of the curve. I mean, we're approaching 4,000 interviews here on this podcast. And if we go back in time eight years ago, I think it was episode 607. That's how far about we're going. I think it was Christian that joined me from Templify.

[00:18:57] - [Speaker 0]
We're talking about reinventing document management process in the age of the cloud. Now fast forward to present day, you're now bringing a free AI agent directly into PowerPoint rather than asking people to move to yet another AI application. So kudos to you there, and it's great to see how you've progressed and evolved as a company. But is that where enterprise AI ultimately succeeds, do you think, when AI effectively disappears into the tools and and workflows that that we all use every day anyway?

[00:19:29] - [Speaker 1]
Yeah. I think what we that's very much what we've seen, like, both with AI, but with any technology. Right? That's one of our design principles actually. Build bridges, basically.

[00:19:38] - [Speaker 1]
That is one that we have relied a lot on because if you want to get the broad masses of organization, you actually want the productivity benefits of everyone in that organization, then you need to not try to reinvent every single workflow they do every half year because they will never get to actually adopt it. I think that's what we what we see, but also heard from a lot of analysts out out there, is that 10% of people and 10% of organizations will be on the forefront and, like, try a new tool every single day, and they will do go to the browser and do new things. But the 90% who is the vast majority and we get the most productivity benefits are probably gonna stay in their ways of working. Right? So that's where we bring out the our Termify agent now where you can work directly inside PowerPoint to then generate get help editing, generate new content, get help reviewing your presentation as well.

[00:20:37] - [Speaker 1]
But it doesn't PowerPoint is one thing, of course. It's also when you work inside Claw, when you work inside OpenAI, when you work inside Copilot for that matter, where bringing all of our MCP that we also have launched recently to make sure that no matter where you are, like, we don't wanna break your workflow. You don't need to go to Simplify. Simplify is there to help you generate the right document at the right point in time. And I think that's how the most successful tools I've seen, at least, that's how they they get to work.

[00:21:07] - [Speaker 1]
That's embedding into the existing workflows rather than trying to invent their own because that's just that only works for the tiny percentages, not actually the the full adoption across an organization.

[00:21:18] - [Speaker 0]
Your agents aren't producing accurate answers because they don't have a complete semantic understanding of your data, and Denodo is solving this and solving it through semantic consistency. Through semantic consistency, your agents can start making accurate predictions in real time. So see what else Denodo can do by visiting denodo.com to learn more. And inside any organization, I think creating a first draft with AI has become relatively easy. We talked about that eight hours to or a few hours to, eight minute situation there.

[00:21:56] - [Speaker 0]
But presentations, these are something that rarely survive contact with colleagues without endless rewrites, formatting, fact checking, updating. We've all seen shared drives with version one, six, nine, final, all those different versions there. So what changes when an AI agent stays with the presentation through that entire life cycle? And how does a company knowledge, brand rules, and centrally governed content prevent speed from maybe coming at the expense of accuracy and control? Because there's so much that can happen here, so much quicker.

[00:22:31] - [Speaker 0]
I just wondered if there's any anyone get any movement for things getting confused and and muddled there during that process. And now, hey. I can maybe help.

[00:22:41] - [Speaker 1]
Yes. I think what we I like to not think about it as governance, actually, but, like, how do we help you get to the best possible result? How do you always step it, put your best foot forward, basically. Right? Yeah.

[00:22:54] - [Speaker 1]
I think that's what you've always been trying in organizations. You've always been trying to educate all the different employers you have that might do a different task. What how should you do x? How should you set? How do you should you do y?

[00:23:08] - [Speaker 1]
Like, Just legal disclaimer. How do you write that? When you use a brand, use it this way. When you are creating a proposal, do it this way. Write in this tone of voice what it might be.

[00:23:16] - [Speaker 1]
Right? And by having an AI on agent help you all the way through that process, you can actually much better make sure that it doesn't differ as much when you're multiple colleagues working together. Right? It's not the personal opinion about I like blue, I like red. It's actually, like, what do we see winning?

[00:23:36] - [Speaker 1]
How can we have all that information that is flowing back from the documents that are performing? It's flowing that back into the into the organization. And then how do you make sure that applies on the different agents helping you, well, that being the create phase of the document or in the editing and view phase of it so that you don't need to discuss about personal opinions, but actually what can data see works and doesn't work. And AI and the agent is that helper next to you that is that guiding guiding star that always rounding things in reality, basically, and and common rules around who are you as an organization is like the gardens of this company DNA, as I like to talk about, where then you can always differentiate from it if you divert from it, if you just have some good reason as a as a person. Right?

[00:24:28] - [Speaker 1]
But you know that you're grounding all of you in the same set of rules rules set of rules rather than than trying to invent it yourself and have personal opinions.

[00:24:39] - [Speaker 0]
So if we can accept that most of us have moved from AI experimentation towards agents becoming part of everyday knowledge work, what comes next? Where do we go from here? Do you see agents remaining tools that just help us create things faster, or are we heading towards workflows where humans can define the outcome and agents increasingly coordinate the work required to deliver it? What what are you seeing this? What excites you about where we're going there?

[00:25:06] - [Speaker 1]
I think I mean, I touched upon company DNA before. Yeah. And I do think that is what really excites me these days because it's so easy to get an AI to do a task, normal, say, right, in in quotation mark. But are they doing it the way you act it should be doing it according to who we are as an organization and what actually makes you stand out as an organization. Right?

[00:25:30] - [Speaker 1]
And I do think that is what excites me the most, how you start apply like, having some that loop on, like, every single action that's happening in the organization. How do you start feeding that back to the to the company, to the rest to the next agent that is working? So you start becoming a a living organism, basically, of that agentic knowledge and that company DNA so that you continuously improve on what makes you win over your competitors and what doesn't work. That also means that then you can take it to the next level in terms of, like, what are the not just on a document level, how should this proposal look like, but also what are the right type of documents we shoot? What is the right order of us sending?

[00:26:12] - [Speaker 1]
So you can continuously innovate the complexity that you're giving to the to the agents and the autonomy you're giving it. Right? And somewhat similar to what you would do with employees for that matter. Like, if you have a an employer that is relatively new to the business, you might say to the person, hey. Can you the pitch should be this way.

[00:26:36] - [Speaker 1]
Can you help me do it? And then I will view it afterwards. But as the per employer gets better and better and get more understanding, well, maybe you can also do the contract in the end. Maybe do the proposal. Maybe do the RFP document as well, and then they start making the whole collections of what actually makes you win.

[00:26:52] - [Speaker 1]
And that way, you can start raising up walls and up walls as long as you have that continuous learning loop about what works and what doesn't work. And I think that's what a lot of AIs don't really have that today. It's very much like one way streets making a lot of people work quite as individualist, you can almost say. But I think that's what is gonna be most exciting and what we are working very hard on in in Templify as well because we we truly believe that's what make make organizations win and what we see make organization win when we are deploying it to our customers is when you start not working as a individual, but you're taking agents and apply that to the institutional knowledge, like, what stand on the shoulder of all your colleagues and the decades of experience you have, that's where you truly get value out of the agents, basically.

[00:27:43] - [Speaker 0]
And before I let you go, did notice, I think it was in May Templify launched MCP to bring enterprise control to an AI generated document. So it's three months after that launch. I'm curious. Have you had any feedback on how people are using it? Any surprises in how they're using it and and what people are saying about that that release early this year?

[00:28:05] - [Speaker 1]
I think one thing that I mean, it's already the emerging trend, but it has surprised me how fast that has gone Mhmm. Is actually the whole topic around cost. And that I talked earlier about, like, creating presentations is becoming a commodity, but it's also a very, very expensive commodity in that regard. Like, you're spending a lot of tokens trading content from scratch, whether using Claude or Copilot or whatever tool you might be using. They can create a document.

[00:28:37] - [Speaker 1]
A relatively generic document, but they can create a document. The problem is actually especially that they're spending a lot of tokens doing that. So, really, you're you're talking about you just run through it within a month or two, basically, as an organization. So that's actually surprised me how fast that has gone. That that is just the biggest issue to solve.

[00:28:59] - [Speaker 1]
And that's one thing that, like, we solve very well because you don't need to spend your tokens in ClawUp when you actually can distribute some of the heavy lifting task to more specialized agents, like an agent crane documents, for instance. Distribute that task because it's more efficient that way. I'm sure there's a lot of other task distribute those task to other parts, and then you can stay in your favorite tool that you're working within. But don't spend tokens on task that other tools are more specialized at. And I think that's really becoming picking up these these days before that they are they're realizing that because they are burning through the token budget way too fast, basically.

[00:29:38] - [Speaker 0]
Yeah. I think it's a great message to end on. Listening to you today, it's easy to see why more than 4,000,000 users around the world rely on Templify to accelerate business content creation with AI. And you're trusted by some pretty big industry leaders and everything from KPMG to BDO as well. And for anyone listening wanting to find out more, find your team online, connect with you, or just anything we talked about today, where would you like me to point everyone?

[00:30:05] - [Speaker 1]
Actually, point to our website, semblify.com, where we can you can try out all of our experience free of charge, actually. You can just start using it via we don't charge for individual usage, whether that being on our on our website or actually in our cloud, MCP add in, our mic add in for how PowerPoint, we can start just go editing your presentations. So go search for Templify in PowerPoint, in cloud, in OpenAI. That's that's why I would suggest everyone to go and start trying things out. We see the value as truly where you start adding that company DNA.

[00:30:40] - [Speaker 1]
So that's what what you'll get when you start getting into more enterprise plans. But individual usage, individual productivity, go nuts. We we wanna give that to everyone.

[00:30:50] - [Speaker 0]
Yeah. I will add links to absolutely everything, and I challenge everyone listening there. Stop focusing your time on creating repetitive content and start focusing on revenue driving work instead. That's where the value is. That's where that elusive ROI might be as well.

[00:31:06] - [Speaker 0]
So I'd love people listening to have a little play there. As you said, it's free for everyone to try. Feedback to me. What what what worked for you? What are you doing different?

[00:31:14] - [Speaker 0]
Did you increase, the amount of tenders that you participated in? I'd love to hear from people. You can send me an audio message at tech talks network dot com. But more than anything, Oscar, thank you for taking the time to sit down with me today. Really appreciate your time.

[00:31:28] - [Speaker 1]
Thank you so much, Neil. It was a pleasure.

[00:31:30] - [Speaker 0]
I think one of Oscar's most powerful points today could be that saving time is only the beginning. Moving document creation from two hours to eight minutes. Yep. That looks impressive. But the better question here is what a business does with the capacity that it then recovers.

[00:31:48] - [Speaker 0]
Can teams answer more tenders that drive revenue? Can they improve win rates? Produce stronger proposals? And of course, with this opportunity comes great responsibility. AI can assemble the information.

[00:32:01] - [Speaker 0]
It can apply company knowledge. It can recommend structure, but people will always remain accountable for accuracy, judgment, and that final document. And I think Oscar also reminded us that adoption improves when AI appears seamlessly in PowerPoint, Claude, OpenAI, and Copilot instead of just demanding another destination. So a big thank you to him for joining me today. Remember, you can find Templify at templify.com.

[00:32:30] - [Speaker 0]
But over to you, is your AI saving minutes, or is it actually helping your business achieve better results and drive revenue? Techtalksnetwork.com. As always, love to hear from you, but I'm afraid we're out of time for today. Speak to you tomorrow. Bye for now.