Building an AI-Ready Design Practice
Hi, everyone. Thank you for joining us for Building an AI Ready Design Practice. I'm gonna be your host. My name is Kara Olin. I'm the marketing director here at Fohlio.
Kara Olin:We also have Huibin Yu, our CEO and founder. She was able to take time out of her day to give this presentation and share a little bit about what we've learned from our clients who are doing lots of, rental and commercial projects in interior design, handling all phases of the project from estimation to specification, procurement, and sometimes even installation. Huibin?
Huibin Yu:Yes. So, we learn a lot actually from our customers that how they leverage different, like, AI agents and to automate some of the process. So we have seen what is working well and also some of the, I would say, the things that still cannot be easily automated through AI. And also somehow how some of the companies are partnering with Fohlio to build structure as well as workflow and process so that their process can be more AI ready. So I wanted to share those best practice with you all here today.
Kara Olin:Alright. So to get started, AI is definitely entirely dependent on the quality of data you feed it. If your form if your firm's historical project data, vendor pricing, and inventory levels are scattered across disconnected spreadsheets, legacy ERPs, and local hard drives, maybe even emails, the AI is gonna fail because it's lacking that information it needs to create the right assessments. Furthermore, the interior design industry relies on thousands of boutique vendors and artisans who do not have that digitally mature inventory system. If a vendor's API doesn't update stock or pricing in real time, you're not going to be able to specify items that, you know, might later become discontinued or suddenly over budget.
Kara Olin:So designers spend up to 55% of their time on nondesign related work. That's managing schedules, budgets, coordinating teams, handling procurement, and managing the documentation that's needed for other teams to do what they need to get the project completed. That leaves less time for the creative work that clients are actually hiring you guys to do. This is one of the many reasons why we see clients coming to us looking into AI tools right now and how they can better handle their projects and reduce that time they spend on non design related work. So with AI, it accelerates three critical phases of every project.
Kara Olin:We're gonna be talking about those. That's concept and my goodness, you guys. That's concept and visualization, specification and sourcing, and financial insights. Is drastically shortening the time, that the feedback loop during the schematic design phase. Tools like Midjourney, reimagine home, or natively integrated AI and CAD software allow you to generate three d spatial walkthroughs and photorealistic renders in minutes rather than days.
Kara Olin:I know this used to be a huge headache for people when they're like, I want something super realistic with the proper lighting, which would have taken forever in the past. And now with AI, it can happen in a few seconds. This helps secure client buy in and much earlier in the process. This is what I think most people initially think of for AI use in their work, but it's by far not the only way to reduce your workload. Huibin, why don't you tell us about some of the four hidden data traps for interior design?
Huibin Yu:Sure. So after designers create amazing rendering with the latest AI tooling, they actually need to, you know, put in the groundwork of specifying real physical product. Right? And then one thing that has been always a struggle is how can, you know, our users connect their real product data and with their, you know, renderings, regardless of use, like, you know, Revit or Meet Journeys or, like, you know, SketchUp. So that's one struggle that we have seen.
Huibin Yu:And then the next one is Excel. So, like, there are a lot of projects actually progress in the financial, you know, different phases of estimation and budgeting and spend, you know, capital commitments and how much you actually need to close out of projects are really, really stay in Excel. And Excel is still a manually input information that is not connecting with, for example, your, you know, the the invoice, right, you know, received from the the vendors or your bank account as well as whatever change, you know, orders you have in your products. The other thing is, like, naming consistency. Although we can all use, like, you know, AI to scrape, I would say, the pod of data from different vendor websites, But unless you are, like, you know, having a platform that already have a standardized new attributes and categories, you know, naming conventions, like, whatever information that, like, being scraped might not actually sit in a very structured database for easily query and search for for you to find the right product to reuse.
Huibin Yu:And lastly is really analytics. So that's something that if we have the data in, analytics can be easily curate. You can even connect with, like, know, for example, like, ends like, if you have used Cloud or or Gemini, they have MCP. You have a tech savvy enough. You can connect that with whatever software, accounting software you use to generate graphing charts or ask questions that you don't able you're not able to get from those softwares.
Huibin Yu:But if all the information are really sitting across different format of files, that is not properly structured and labeled, like, you know, presentation in PowerPoints, right, or financial in Excel and project management, you know, god knows where, for example, in cello, that is very hard to pull all the information in one spot because running a, you know, design procurement company, you have to look at definitely, you know, the time, the money, as well as the quality of products and also how much you've been, you know, billed by your employees. So those are the few gaps that we have seen. So some of the things that we have been, you know, building and further enhanced now with those AI tooling that we focus on is really how to work with clients to help them build a structure and curate, you know, their products that have used across all the historical projects, what are their favorite vendors they work with, what are attribute that is important for them to review and use filter for, as well as, like, you know, how to pull the data from different, you know, vendor documents, like whole informations and invoice informations, and also how to export those data into your favorite, you know, other accounting software as a part management software with API MCP.
Huibin Yu:With that, I want to introduce our one of our latest platform that we plan to roll out actually next month is Specurate. So Specurate have a few major enhancement that's, like, natively with AI powered features. First of all, if you use existing Fohlio under the library, there's a module called Podcast. So in is enhanced as, like, brand collections. For those who work on especially hospitality projects, you might have different brand standards that to follow.
Huibin Yu:For Maria's, from Huibin's, you know, etcetera. Or if you work with a certain property developers, you know, they have their brand standards or you have different kind of, like, themes and of different color palace or styles of, like, you know, model home that you work on. This is where you can create, we call, like, you know, collections. Instead of manually create collections, we have AI features, can pull those existing brand standards from your hotel brands, design guideline PDF files, or from your existing projects, Excel formatted file. So you don't have to just create from scratch.
Huibin Yu:So it's easy for you to then use those brand standard to build out prototype project and estimation going forward. The collections, you can basically create different prototypes or estimations to change, like, you know, square footage or room information. So this will basically help you create proposals and estimates to bid for any projects with shorter timelines and and higher confidence. The other is vendor analytics. So something that is very important for all of you to scale your business is to identify what are best vendors to work with, you know, how I can maybe specify more from vendors you have the more favorable trade agreement with and also pull up order project volumes and product volumes so that you can have the data either historical volume or projected volume to have better negotiation power with the the vendors.
Huibin Yu:With the new platform, the library will have this product module. It's not just, something that you intentionally create in that your internal library like you currently do now in Fohlio. Automatically pull in all the approved products from your previous projects, so they all stay in one place and also properly label them. It's used for watch project types. And the other thing I wanna call is the similar items.
Huibin Yu:One thing we heard from our customers is that they wanted create a library, but the goal of creating library is more like cluster and grouping similar products so that when they do specification, they can look at different options. So with AI, we are able to better actually automatically help you to surface their similar items, and you can choose as alternative options for your clients to choose from when you put together the proposal. The foundation of these, again, is because in the new spec query platform, we are standardizing our different auto attributes and fields so that we can further leverage our AI, you know, engineering capacity to provide those product information for you. When you discuss, like, informations and of the specifications, it still need to be put in the context of the the larger rendering or your mood board, etcetera. So, essentially, connecting those softwares is super important.
Huibin Yu:Some of our customers, they are pretty tech savvy. They have leveraged Fohlio's existing open API as well as MCP and build actually their plug in with, for example, SketchUp. We have with one of our clients that, essentially, they're able to connect all their products from the Fohlio's library modules into SketchUp so that they can easily just apply different fabrics or, like, you know, lighting fixtures or fabric or, you product prototypes into their renderings. So make the whole, like, concept and, you know, specification, iteration back and forth a lot smoother and less error prone. The other thing is custom fabrications.
Huibin Yu:I'm pretty sure that you have done a lot. That's your definitely one of your trade secrets, you know, how to create this amazing product, right, with your favorite manufacturers. And but the pain point we have heard again and again is that you try to scale a company. The the journey of folks that are being brought in need to know how to specify those custom publications, like what information to look out for. You know, make sure that you you you cover the pill insert.
Huibin Yu:Right? And the zipper need to be in this way. Right? The flaming retardant ratio need to be covered, especially work on large commercial projects. So, historically speaking, when we look at all the spec book, you know, our designer brought in when they use other software, the CRM COL is a mess.
Huibin Yu:Like, the the specification of the component is always such a mess, and then it's inconsistent as well. And, usually, those are the details that would just, like, end up causing a lot of the time back and forth, right, with the owners and with the manufacturers. Any errors will be very costly. So in the new Specura platform, we have this new function called custom fabrication templates. So what it does is that you will basically build out your custom part of the fabrication template, what are the key accessories, new components, and link items need to be specified, what are fields need to be specified.
Huibin Yu:We have some out of box one for commonly specified custom fabrication upholstery items you can start with, and and also what materials that vendors you you prefer your your specifier to use. So so this is another module that put in to sort of to help you build structures to scale. Another reason we put together this module is that when we import data from different vendor website or if you are in procurement business, now you input the spec book from designers, there is a really dedicated place for for us to extract and and use AI to to input those component information, which is really the hardest for for for you guys to validate into the submittals with your manufacturer. Yeah. And then let's go into the funny part.
Huibin Yu:The the break is also hairy part, the procurement steps. Yeah, Kara. Mhmm.
Kara Olin:Yeah. So finding the right FF and E is traditionally a massive time sink. So AI just acts as a multiplier here. With your run of the mill chatbots, a lot of steps can be done with individual prompts. So maybe you're taking off via upload floor plan.
Kara Olin:You're converting spec PDF file into an Excel formatted schedule. You're converting raw design selections into formatted spec sheets and RFPs that contractors and vendors can actually read. However, an individual AI chat and prompts are not a workflow task list with a dashboard. It still lacks that central visibility for management, and chatbots can easily provide you with detailed cannot easily provide you with detailed financial metrics on your entire project. Well, let's take a look at each of these first before we go into their drawbacks too much.
Kara Olin:So for takeoff, you can upload the floor plan. AI calibrates the scale, creates a measurement, analyzes the components to export a material and cost estimate. You can use AI for converting spec PDF to spreadsheets and upload your spec PDF. AI extracts the data, sends it back in a restructured format for sharing with clients. Or vice versa, you want an Excel spreadsheet turned into a PDF that looks beautiful for clients.
Kara Olin:But you need very complex prompt experimentation to make it work well for complex projects. And then for spec sheets, you can share the brief with AI, and it assembles that information into a format for exporting and sharing. We have found that procurement teams face challenges when individual vendors have different format quote documents. There's no centralized platform for comparing those quotes. And sometimes even if there is a platform, team members need to copy and paste quotes into the system, which increases the risk for error and takes up valuable time.
Kara Olin:Then when using AI chats, organizations lack prompt standards, and the generated documents look different across all of your firms. So everyone's sending a different template of the design, and it lacks that central visibility for management, so there's no clear version history. And because AI, individual chats, and prompts are not a workflow task list with a dashboard, data is still siloed and not usable for cross project team analytics. What we have found as a solution is having that all in one system.
Huibin Yu:Something that we also struggle internally is that, like, different team members will have different, I would say, that, like, AI articulation proficiency skills, right, in order and, also, every single user's, like, agent might tend to behave different from the other, like, you know, user's agent. You know, we definitely try to standardize, you know, build design systems and standardize some of their workflow and prompts, like, you know, through, like, skills and, you know, AI agent. And then one particular, you know, use case that we have seen internally just, like, you know, generating presentations. Right? Yeah.
Huibin Yu:I'm really, really good at generating presentations very quickly. But, unfortunately, everyone's presentations, like, look quite different from each other sometimes. So with the new, like, know, platform, basically combine the beauty of the two worlds. Essentially, you can create your very, very customizable on brand look and feel, like, themes, like presentation, both just use the new easy editing, but also come by AI. You can basically prompt AI and and tell the, okay, how I want my presentation template to to look like.
Huibin Yu:And then instead of a standard templates for a different project to use and also easily, you know, pull different informations into this, like, dinner presentations. And, also, with this new, I will say, the centralized presentation tooling is very easy to put data off vendors or product information, financial information easily to this list of the templates. And then the other thing that procurement team members particularly find it important is really where they stand in terms of the cash flow. So in the new spec crane modules, we enhance the analytics, provide the visibility whether you are, you know, under budget or over budget, how much funding you have to get, and what items are you into look out for. Essentially, instead of, like, manually filtering out what you need to pay attention on, the system will automatically just prompt you.
Huibin Yu:Like, you know, those are a few things that you need to watch out financially and address it as soon as possible either with your vendors or with your clients or swap out products. With procurements, one of the pinpoint is really their full management and, quote, comparison. So our data scientist actually has done research and engineering with many vendor documents. And especially in our industry, thankfully, you know, we have, like, hundreds of vendors that's very popular that are being used across the board. So we'll focus on that.
Huibin Yu:And so that in the new specular platform, in our quote functionality, When you upload a PDF quotes from your vendors, it will automatically pull the product information, pricing, lead time, potential freight estimates, and then put together a slight quote comparison table for you to quickly make judgment call who we need to purchase from. Essentially, with the new Spectre platform, we are not just producing a structural workflow for you to have end to end visibility and standardizations, but with very, very intentionally built, AI model step along
Kara Olin:the way. So that's status, workload outstanding, the percent of completion against deadline, giving you alerts to make sure you order things on time if you guys are handling procurement, making sure things get approved on time if you're just doing design, things of that nature.
Huibin Yu:You know, I already talked about, financial insights. So, the the newest bakery platform would be more granular intentionals, you know, what clients see or what designer sees and potentially what contract need to be aware and how we feature finance in terms of their true property margins and into the ERP system. And this is another it's, like, no example of how we break down their life cycle, you know, budget versus commit versus actual, and where are the discrepancy might come from.
Kara Olin:And then instead of having things in a spreadsheet, if you have an all in one system like Fohlio or Specturate, you can share it with the clients, and they only see the client facing layer. They're never gonna see the cost, price, and markup. You can determine what level of transparency you want with that client. So, for example, the designer is going to see more of the design side. That's unit price, price per area, full spec price, can help which can help build quick estimates.
Kara Olin:This is between the cost, the client price, and sets an estimated budget and markup percentage, which gets then used to create the budget variance, which can then warn you if your margins fall below its target level for the project, and their core financial worry is profit leak. And so this margin, detection helps quickly alert you of that.
Huibin Yu:Yeah. And this is more like the AP, like, you know, the cash flow side of things, that so you can plan in advance in terms of, like, getting the funding commitments from our clients.
Kara Olin:See what's been spent, see what's total outstanding, ordered, received, paid, open, soft costs, and when amounts are due.
Huibin Yu:So that being said, one thing that we have learned from some of the industry leaders and because, you know, they have asked oh, can we have this? Can we have that? And then usually the first questions where we ask is, like, okay. Like, why why do you want to do this? Right?
Huibin Yu:Like, why do you want this analytics? And something that we learned from those, especially pretty scalable firms leadership is that the best define your KPI first. So what are the core KPI that really matters to you, and what are some other common risk usually in your surface, especially if you do a lot of custom fabrications and you have different markup and margins and calls you have to navigate, ensure that those are set up properly in Fohlio. And we now the new platform called Specturate with very comprehensive, actually, different cost management systems, like, you know, covering different soft cost budgeting, spend as well as tax and freight cost treatments, especially freight costs during the multiple, like, life cycle of freight costs. Usually, it's difficult to reconcile, so the new system will handle that.
Huibin Yu:And, also, service some, like, you know, very crucial KPI from budget to cost pricing to clients, pricing your profit level.
Kara Olin:And then just having this all in one system, it was standardized columns, gives you historical data and suggestions for future projects and also allows you to do cross project analytics for total spend by category, spend by volumes, per supplier, the item reuse across projects, and the status and progress roll ups, as well as the average price per unit, which can help with building estimates in future projects as well.
Huibin Yu:Absolutely. And, yes, we talked about this earlier in terms of, like, you know, custom fabrications. Getting all the detail rights is super important. With the specular modules, we they have a much easier to interface for the component and custom fabrication pricing so that, you know, that when you use different materials, how much you need to purchase, what's the impact of custom duties and freight costs and start to cost potentially impact your total fabrication cost.
Kara Olin:We know that custom costing is normally a struggle with a lot of interior designers thinking, oh, I can't use a standard system because it's not gonna allow me to do that. So you wanna obviously, you wanna find a system that supports both flat fee and percentage based fabrication pricing so the cost model matches how each vendor or shop actually bills rather than forcing every custom item into one formula. Also, that tracks soft costs, so that's labor handling overages as their own layer separate from the base unit costs so that they stay visible instead of getting absorbed into a single blended price, and allows those soft costs and estimates to be updated as they change without requiring an additional cost buildup to be reentered and reconciled by hand. Some of the benefits of the role based access that we kind of discussed before as well is it minimizes the risk of manually reentering data. Maybe someone's emailing you something.
Kara Olin:Instead of them emailing it to you, you can have them enter directly into the system. It simplifies onboarding. You have one workflow. You control what they can see. You don't have to tell them, oh, don't worry about that, or should we give them access to the system?
Kara Olin:You can give them access to the system and know that they're only gonna see what they need to see. You can manage access easily. You can have a clear audit trail of who approved what, who added which specification at each time, who placed the purchase order. You can clearly see the quotes that came in from the vendors with dates on all of it and support separation of responsibilities, so you know who's responsible for completing each task at each time. But most importantly, it's easier external sharing without sharing too much information.
Kara Olin:So, sharing with logistic partners, clients, installers, vendors, you name it. So choosing the right platform, you wanna make sure that there's a handful of questions that you ask.
Huibin Yu:So every company is different. You all specialize in different verticals, and it's type of service that you provide for your clients. Then depends on the project types you specialize in. You might care for, like, different kind of data insights, and the process will also vary. Right?
Huibin Yu:So I think when considering, okay, what software platform is the best to support your business growth? I think that's, like, number one. Like, you know, how's my business unique needs are? Where are the things that are not being addressed? And then start from there.
Huibin Yu:How can I execute more this type of project I specialize in faster? The other question to ask is, like, with this kind of project I'm specialized in, so far, where do I lose money and make money? Right? Some of our clients actually before they jump in the phone, it's very hard for them to get their insights and which is very risky on a scary business. Have some foundation to ask those questions.
Huibin Yu:Okay. Where do I make money? Where do I lose most money? And then starting from there, just think about, okay, what kind of technology solutions will help you address that will be helpful. The other things, like, which vendors wanna work with more.
Huibin Yu:You might have that data somewhere. You might not. And so but those are very crucial information to have to set up boundaries with the junior designers or procurement agents you're working with. And then the other is, like, the platform AI native forward thinking. Fohlio, we have been in the market for ten years.
Huibin Yu:And thanks to AI development, we are launching this brand new platform with this test deck as well as more user friendly user flow and then also put a lot of AI thinking in this. We also know that we are not gonna cover everything under the sun. Whatever software that our client use, we need to provide very strong API and CP integration functionality so that you can easily get the data you need in different software to do what they're really good at. I would say that as you are readily use Fohlio or use something different and you're curious and speculate when you're making decisions, those are the key questions that I recommend ask yourself internally and figure out, okay, what's your north star and then, you know, how you want your software to work and process to work.
Kara Olin:And just for you guys who don't know, because I didn't know not too long ago, MCP is a wrapper that goes around the API that allows a AI agent like Claude, Gemini, whatever you're plugging into, to read the API without using up a million credits. So it's very important that you use that. Otherwise, you're gonna be burning through all of your AI credits. So you wanna find a system that has that m MCP wrapper if you're looking to integrate it with any of your AI chatbots.
Huibin Yu:Mhmm. Another thing that I want to call out, because we have dedicated engineer that really study our user datas and, you know, the vendor data, so we create very, very comprehensive AI problem engineering to efficiently put the data needed into the system for our user to continue to workflow next step. Yeah. It takes a lot of research work, you know, for us to build those modules into the new platform.
Kara Olin:So, yeah, just to recap the webinar for you, an all in one tool gives your organization a centralized data management system and workflow, allowing you to manage your entire project from estimates to spec, to purchase, to install, all in one unified platform. Again, if you're not managing all of these steps within your organization, that's fine. You might just want to use it for your specifications and maybe your estimates, but you don't handle purchasing and installing. There's still huge benefits to having an all in one system where all your data is in one place. So with an all in tool, your data is structured in a way that AI can actually use.
Kara Olin:And more than just AI, the right platform like Fohlio has an open API allowing you to connect your data with Revit, SketchUp, QuickBooks, or any accounting software, your ERP, anything your organization needs. And with an all in one tool that has detailed access control, you should be able to invite all your stakeholders to the platform, giving them only the ability to see what they need. So clients can make approvals, vendors can submit pricing, the warehouse team can mark orders as received, installers can view installation guidelines, and you're no longer stuck sending email update after email update, switching between spreadsheets to update the right information in the right cells, working off outdated information, and missing valuable insights from past projects. It all lives live in one system. The future of interior design is data driven, so let's build it together.
Huibin Yu:Yeah. That being said, Kara, we have been actively building this new platform called Specurate, combining all the lessons learned in the past ten years from our customers. That's AI powered. So we are actively looking to discuss with our customers and give them actually snippy for them to test drive, give us feedback. So our goal is to have our phase one launch by the end of next month and then, full platform launch by the end of this year.
Kara Olin:Yeah. And you don't have to be a client to test drive it. We just want insights from people who are in the industry actively managing projects to make sure that this system really fits your needs. We like listening to our users whenever we build anything to make sure we're not just building it something no one's gonna use. With that, we're also opening up for questions now if you have a few already.
Kara Olin:Does the use of AI eliminate the volume of change orders throughout the project? That's an interesting question.
Huibin Yu:Yes. And so, yeah, change orders is one of the big headaches. And then from what we have heard, change orders usually came from for example, something is suddenly much longer lead time out of stock. Or once you go to installation, they find out that just something is not a fit. Right?
Huibin Yu:They have to make changes. This can be many different reasons or whatever at the very beginning that that what has been specified is not comprehensive. Miss things missing. So in terms of vendor, let's, like, just break it down one by one. Right?
Huibin Yu:If there's things that, like, long lead time, usually, the vendor will give you, like, alternative suggestions or in Fohlio because we have this AI empowered sim similar products. So it will speed up the respec process. We'll basically auto suggest things that look similar with the lead time that you need that have been used in the past from your existing vendors. Right? So it might help on for that scenario.
Huibin Yu:And then the other scenario is that once you get to construction, you know, I realize something is not a good fit and have to be respecified. That's something, unfortunately, we we cannot help. The the other scenario is what has been specified is not comprehensive. That is definitely a Fohlio as specuary can help because specuary have very dedicated, like, collection module that you can build comprehensive, say, FF and E selections for hotel lobby area. Right?
Huibin Yu:And here's other manager items, which one need design review, which does not need design review. Also, with the AI tooling, we have this, like, submittal review. Essentially, we will compare the brand standards against what is written in spec. So very, very early on can capture thing that might not meet the brand standards. So this guy put use AI to do spec information review and preinteractions and also build a framework of what need to be specified and how they need to be specified will help a lot to reduce chances of, like, no change of orders down the road.
Kara Olin:Awesome. Thank you, Huibin. Another question. Does Fohlio have risk modeling capability like Monte Carlo analysis, or does it integrate with that?
Huibin Yu:We are not a accounting software or financial analytics software. So I will just recommend that maybe you can connect their the new platform's API or MCP with your AI model and then get the answer in your AI model. We also have something that called Leo. It's our AI agent, but I'm not sure if it will have that kind of financial ability. I do recommend that just, like, take the data out and then put it into dedicated software to do that work.
Huibin Yu:But at least on the new platform or if you're using Fohlio, and the data is in one place. Right? It is instead of sitting on so many different formats of Excel files, it's already a major gain.
Kara Olin:Mhmm. Someone wants to know with the budget analysis tool, how does that work if we have we don't have a standard method currently for pricing?
Huibin Yu:I would say that, the budget analysis tooling needs some planning and setup. So, usually, we have seen that our clients will have all our budget, and they can break it down by categories, by areas, then top down, like, by square footage. Right? And then then do, like, very granular bottom up budgeting as well as estimations, you know, what historical price historical price is or of that particular line of this type of project, and that's where the The Fohlio can help because we curate a historical pricing on different product type for different type of projects. That's your your own data, not data so that I can service that for you to do better budgeting.
Huibin Yu:Like, if you want to learn more, feel free to book a call with me or with your account manager.
Kara Olin:Someone else said, if they don't do specification in Fohlio, some design agency just sends them the spreadsheets. How do they then get that into Fohlio to use it for procurement?
Huibin Yu:So in existing Fohlio, is when you add product and the drop down is, like, import from file. So there is ability for you to import Excel formatted file. We actually do have ability to import PDF spec book already. It's something that it need to be just, like, connected to the front end, and we're actually working on that sort of use so you can self serve import a PDF spec book.
Kara Olin:Mhmm. And then it uses AI to analyze those columns, and then you can review the columns to make sure it mapped them correctly, and then you have it in Fohlio. Exactly. Thank you all for joining us today. And as always, you can reach out to Fohlio if you wanna learn more about either Fohlio or Specturate.
Kara Olin:You can see a demo, or you can provide feedback for Specurate. Tell us live with our CEO. Let her know what you think of the platform, if it needs changes, if it's something your company would consider if it's going to help your company. We also have a workflow assessment. So if you'd like to know how is my current setup going, can it use improvements, where can it use improvements, we'll send out a link for that after the webinar as well, and you can book some time to review that.
Kara Olin:Thank you all for joining us. We really appreciate you taking the time, and that is all.
Huibin Yu:Bye. Yes. Bye. Thank you.
