Insurance program management is still highly manual and fragmented — managed across spreadsheets, PDFs, broker systems, and email — limiting visibility and slowing decision-making. In this solution showcase, we demonstrate how Origami’s new Insurance Program Management solution brings policy data, workflows, and analytics into a single, connected system. See how risk teams can streamline renewals, improve data accuracy, and gain real-time insight to make more confident, data-driven decisions. Highlights: See how AI-powered ingestion eliminates manual policy data entry. Learn how to manage renewals and placements in structured workflows. Discover a better way to compare quotes and document policy decisions. Gain a real-time view of your entire insurance program in one platform. Okay. We’re gonna go ahead and get started. Hello, everybody, and welcome to our solution showcase where we’ll be introducing our brand new insurance program management solution. My name is Trish Kelley. I am the product marketing manager for RMIS here at Origami Risk, and we’re excited that you’ve joined us today. Today, we’ll show you how risk and insurance teams can manage their entire insurance program in one place from policy ingestion through to renewals and placement management, endorsement tracking, and ongoing program oversight. For many organizations, insurance program management is still highly manual. Critical information is spread across spreadsheets, PDFs, broker portals, email threads, and shared drives. As programs grow more complex, it becomes increasingly difficult to keep data current, coordinate renewals, maintain visibility into coverage, and confidently support insurance decisions. The challenge isn’t just inefficiency. When information is fragmented, it’s harder to gain a complete view of your program, identify potential gaps, collaborate with your stakeholders, and make informed decisions across risk transfer strategy. So that’s why we’ve transformed Origami’s insurance program management solution. It brings insurance data, workflows, and analytics together in a single connected system, giving risk teams greater visibility, control, and confidence across the entire insurance life cycle. So in today’s showcase, we’ll show you how Origami can help you eliminate manual policy data entry with AI powered policy ingestion that automatically captures key policy information, manage renewals and placements through structured workflows that improve collaboration, accountability, and consistency across the process, and gain a real time view of your insurance program in one platform with centralized access to policy information, financials, and program insights. Before we move into the demo, a couple of quick housekeeping items. All attendees are in listen only mode. If you have any questions throughout the session, please use the q and a box at the bottom at the bottom of your screen to submit those, and we will get to as many of those questions as we can after the demo concludes. There will also be a recording, that’ll be sent out following the webinar. Today, I am also joined by Lexi Wagner, senior product, manager for RMIS at Origami. Lexi has led the design and development of this new offering and will now take us through the product demonstration. So, Lexi, over to you. Hello. My name is Lexi Wagner, and I’m excited to demo our new insurance program management solution for you today. Everything I’m about to show you lives directly within Origami’s RMIS platform. From the main navigation, I can access my insurance program workspace, including portfolio level views, placements, and policies, all connected to the rest of my risk data. Let’s start at the portfolio level because this is where most risk leaders need to operate. The insurance portfolio landing page is a central hub and provides a real time view of my entire insurance program, in force policy premiums and coverage, as well as upcoming placements. Instead of pulling this data together manually for leadership or board discussions, it’s already here and always up to date. From this landing page, I can quickly drill down into specific policies or placements to perform in-depth analysis. For instance, I can see all of my active placement projects, either renewals or new business, and I can easily view the status of each project, the upcoming tasks with their owners and due dates. This gives me visibility across the projects holistically, and then I can drill down into each project for more detail. Now this moves us into the dedicated project workspace for a particular renewal or new business placement. Instead of tracking this across emails and spreadsheets, everything is centralized in a structured project. Task, documents, communications, and timelines. Having everything managed in this single system of record and workflow provides much needed visibility, efficiency, and collaboration for my risk team. As you can see at the top of this page, we have essential project details, the owner of the project, the broker I’m working with, the due date, as well as all of the expiring policy information. I can see the overall project status, which I can update as needed. Scrolling down, I can see the upcoming tasks, the next three due upcoming tasks, as well as the full project plan. You can see all of the upcoming tasks here as well as who’s responsible for what and what is still outstanding. Now I’m going to jump into the analysis and decision making side of renewals and placement projects, particularly with receiving and comparing quotes. But before we get into renewal strategy, it’s important that we’re working with clean, structured data. Traditionally, getting data into the system in a structured format is one of the most time consuming parts of this process. With Origami’s new solution, I can simply upload a policy or quote PDF document, and AI automatically extracts key data and creates a structured policy record for my review. I can review and validate the key information against the original PDF document. And once finalized, I can create the policy with a single click. This removes the number one reason policy systems fail, manual entry. Going back to the placement record, during the renewal, as quotes come in, I can store and compare them directly within Origami. Instead of spreadsheets, I’m able to compare the quote options side by side looking at the coverage, premiums, and structure. I can even compare them to the expiring policy as well. This is not a report I have to run. This is a dynamic view that lives directly within the project workspace and allows me to streamline my analysis and decision making. Once I have decided which quote to move forward with, I can simply select the quote, optionally add commentary to document the rationale, and automatically create the policy, further limiting manual data entry. Everything is linked within the placement project and can easily be referenced in the future if necessary. I can even export the placement, the project plan, or the quotes, and send it in PDF to other stakeholders who may not be users of Origami. This solution creates a defensible decision trail and is a big shift from reactive renewals to a more controlled, proactive process. Now let’s look at what happens after a policy is bound. Midterm changes, like endorsements, are another area where visibility breaks down. Here, I can track endorsements through a structured workflow, including what changed and when. Those changes are directly tied to premium impact and can be viewed at both the policy and program level. This allows me to always have a clear, complete view of how my program is evolving over time. There will be no surprises at renewal time, and leadership has much improved financial clarity. If we come back to the portfolio page, we can see how everything connects. Placements, quotes, policies, and endorsements all roll up into a single real time view of the program. This is what allows risk teams to move from managing insurance as an administrative task to managing it as a strategic function with full visibility, control, and confidence. Alright. Thank you, Lexi, for that wonderful demo. So now we are gonna move into q and a. As a reminder, you have a q and a box at the bottom of your screen that you can use to submit questions. If you can, submit those with your name. If we don’t get to your question, we’ll be able to follow-up with you afterwards, but totally fine if you wanna submit them anonymous anonymously as well. So first question we see here, there’s a question about reporting capabilities. So, Lexi, what reporting capabilities are available with this new solution? Yeah. Great question. So we do have prebuilt reports and dashboards that cover policies, the carriers, the brokers, program performance, and the overall placement process. These out of the box dashboard and reports are available, for you to use at any time, but you have to reach out to your Origami support team to enable them and make sure you have access. So definitely ask your support team, and you can get all of those out of the box dashboards and reports. Amazing. Thank you. Next question here. We’ve got a question about the AI ingestion ingestion component. So what types of documents can the AI ingest? Yeah. So it can read any PDF document. It just matters what the contents of the document are. So you can really use any, like, quote document, policy binder deck, or finalized policy document, document agnostic. It just matters, again, what contents are in the document and that it is a PDF document. Perfect. Thank you. We’ve got a question here about broker access. Will they will brokers be able to have access to the system to input documents themselves from their side? Yes. Yes. So if you have, like, your broker as a user in your Origami instance, they can absolutely upload those documents. It’s just controlled by role permission. So, absolutely, you can have your broker or anyone from your team upload those PDF documents. Perfect. And then similar question, if there if my broker already has a portal, how does this compare or kind of work with that? Yeah. Can’t say how it compares. It depends on your broker and what they provide, but those portals are typically, you know, designed around that broker’s use cases and relationships that they have with you. And for organizations that have multiple brokers or are maybe changing brokers throughout the year or year over year, or have additional data sources that they need to manage, the kind of value that having this in Origami in your instance provides is that everything is centralized. It belongs to you and your organization. You can feed that data in from all of the brokers that you work with, but it really lets you as the insured manage the comprehensive insurance program inclusive of data provided by brokers or other partners that you may have. Perfect. Let’s see. I’ve got a question, it looks like, from an existing client. Can they use this solution without having enabled AI in Origami quite yet? Yeah. It’s a great question. So the only AI enabled feature is the policy data ingestion feature. So you will not be able to use the PDF upload extraction feature at all without enabling AI. However, all of the other solutions are they don’t require AI, so truly just that PDF import process that requires AI to be enabled. Awesome. I’ve got a couple of questions in here about cost. So this solution is included in our standard RMIS package. So if you’re a current client or looking to become a client, if you use our standard RMIS license, this is included in that license. So no additional cost for this this additional capability. Let’s see here. I’ve got a question here. Does this include the duplicate policy feature? If so, are you able to address the carrier quote share error? Is that something we can Oh, follow-up on? I’ll answer the first part. So so what I’ll say about the duplicate errors, so, like, in the policy ingestion when you’re uploading PDFs with AI, there is duplicate detection so that if you have an existing policy with the same policy number, effective dates, all of that stuff, it will match and alert you that there are duplicates for you to review and, like, merge together if necessary. Not quite sure about the quota share. We’ll follow-up on that one. But there is duplicate checking and then that merging feature that you can use for duplicate policies. Great. So another question here. Will you be able to link all of your underlying local policies to a master policy? Yeah. Great question, Bart. So we are kind of still working on the local policy master policy relationship and future road map items. Right now, you can do that in some kind of workaround y ways, but there’s no true standard functionality for that, but that is coming later on our road map. Great. And then a question about the documents back to the AI ingestion. Are the documents stored anywhere? And if so, where when they’re uploaded with the AI tool? Yes. Yes. So they are first stored in that, like, policy ingestion kind of landing page that you all saw. That will be your source of truth for any PDF documents that you upload. But, also, once you do create the policy or quote from that process and it truly creates that policy or quote in your policy and quote module, it will also automatically link the PDF as a file attachment to the record that is created so that it shows on both the record that was created and the kind of import job that you loaded it on. Great. We got a lot of questions here. We’re gonna try and get to as many as we can. Does this work with programs with several insurers? If they have, like, multiple carriers with umbrella coverage, fifteen plus insurers was the example covering different layers. Can can they can we work with that complex of a program? Absolutely. Yeah. So we do have a lot of functionality like our programs towers module where you can kind of build that visual structure. That is a preexisting feature, so we haven’t made any updates to that. That already exists. The value of these new features is truly that it makes it easier to get that data into the system. Doesn’t matter again if it’s primary layer, if it’s excess, if it’s quota sharing, any policy can be ingest ingested, and then you can build out the program structure from there. And stay tuned. There’s more to come on the program towers, as well in future road map items. Great. And then another question about the ingestion component. So can this tool replace manual Excel uploads, or does it still require data import templates? And then there’s a follow-up question. How does the insurance program management module ingest policy data today? Does it support direct integration with broker systems or TPAs? So maybe first on the the Excel upload. Yes. So Excel files are still data import center. So this new solution just makes it easier for the actual PDF documents of the policies or quotes that you’re receiving. There we are planning on some enhanced spreadsheet uploads in the future as well. So, again, stay tuned for that. That’s coming later. But for now, it is either PDF with the new AI tool or existing data import templates if you want to use Excel still. Awesome. And then the integration with broker systems or TPAs. Yeah. Can you read that part again? Or where was that? Yeah. How does the insurance program management module ingest policy data today? So can they do it directly? Is there a direct integration with the broker system or TPA? Or is it, like, where they have to take the file and and upload it that way? Gotcha. Yeah. So there’s no, like, out of the box integrations. You can absolutely set up integrations. We can intake files from various sources. You just have to kind of set up that integration, via APIs or batch processes, however you wanna do it. But there is no out of the box integration, but that that could be set up. Wonderful. Let’s see here. How about so if during the quoting process, so during the quote evaluation, they have multiple snapshots of how the market is responding before they bind, is there a way that they can track that with the quote comparison tool? Multiple snapshots. Oh, yes. So, like, if you get essentially updates of the quote before you bind. Yeah. You could absolutely, like, either up upload those updated documents to update those quotes and reflect that in the quote comparison tool or manually update them as you’re receiving those snapshots. But, yeah, if I understand that correctly, you could absolutely do that. Alright. A question here about the portfolio view. So the total premiums and coverage are at the top. Do you have the ability to filter the data? And what if you have records in Origami that should not be included as part of total premiums coverage, etcetera? Where does that data come from? That’s a great question. So right now, how that that insurance portfolio kind of landing page works is it just grabs everything that is active or in force. So currently, it is not configurable, so you can’t change, like, the filters or what is included or not. It just keys off of the effective and expiration dates on the underlying data. But my answer to a lot of these, stay tuned. There is more coming, and we are enhancing that so that you can configure that landing page. Right now, you could recreate a lot of that in our dashboards, but we wanted to provide kind of an out of the box landing page so it is not configurable at this time. Got it. Alright. And then a couple of questions here about shared or layered programs. So can we handle it’s kinda similar to a question earlier, but can we handle shared or layered programs? Yes. K. Alright. Let’s see here. What about I think we’ll maybe finish with this question. Tracking policy performance, so loss ratio claims trends. Can they do that within the same model module? Yeah. Yeah. That’s a great question. And you should take a look at the out of the box dashboard. We have a lot of that. Loss ratio is not one of them, but we have a lot of very similar, like, showing the coverage trends and carrier and broker trends over time and comparing policies year over year. So definitely check that out, but you should be able to do any of those analytics using that underlying policy data. And I think I saw one I actually wanna answer too, which was kind of about, like, does this use the underlying policy data? Oh, yeah. So does this module sit on top of existing policy or program records, or do we need to create separate records? So that’s an amazing question. All of this builds upon all of the existing functionality, meaning we just add it on top. So, like, the placement process links into existing policies and programs. That insurance portfolio is like, if you look at it today, it will aggregate all of the existing data you have in the system. So all of it is truly, like, using, leveraging everything that preexisted already and just creating additional value layering on top of what already exists to make it even more valuable and usable. Awesome. And we’ve gotten a couple of other questions about price and how to get this turned on. So definitely reach out to your account managers. As mentioned, this is included The licensing cost is included in the implementation or, I’m sorry, in your RMIS package. As far as implementation, it’s very nominal, so not not a ton to expect there. But please do reach out to your account manager to get information on that and how you can get it turned on. And I think that’s about all the questions we have. I know we’ve got a lot of other questions in here, and we will make sure to follow-up with each of you on those. So, again, thank you guys for joining today. Hope you enjoyed this solution showcase. If you’d like to learn more, please visit our website linked here. There’s an email address that you can reach out to us with. Reach out for a one on one demo. Again, if you’re a current client or a prospective client, we can certainly provide a demo for you. Again, hopeless hopefully, this is helpful and valuable. Thanks again for joining, and enjoy the rest of your day.