AI space planning in Claude: from prompt to floor plan
What you'll see
Build a stack plan from real usage data just by describing what you need. In this session, Robin’s Ciara Peter and Milo MacPhail show space planning in Claude live, from first prompt to published floor plan.
Watch Claude consolidate a building onto fewer floors, model 20% headcount growth and estimate real estate savings, all using your Robin data. Then have Claude send the plan to Robin as a draft, invite team leads to fine-tune seating and publish when you’re ready. Nothing publishes without your approval.
You’ll also see how to:
• Group people by department, manager, neighborhood or job title
• Bring in data Robin doesn’t hold, like HRIS headcount or team collaboration patterns
• Set up scheduled tasks that assign desks to new hires and free up desks when people leave
Transcript
[00:00:00] Austen Blass: Thank you so much everybody for joining us today. My name is Austen Blass. I’m the Director of Corporate Marketing here at Robin. We’re super excited for this webinar. We’ve been looking forward to it for the past couple of weeks.
[00:00:11] The things that you can do with Robin and Claude are so impressive, and we’re really excited to share that with you today. Joining us today is Ciara Peter, our SVP of Product, and Milo MacPhail, our Senior Product Manager.
[00:00:25] They’ve both been working on this for the past few months and we have some great demos and information to share with you today. Just a couple of quick housekeeping tips before we get going. We will share the recording and slides and some other resources with you later today, tomorrow morning at the latest.
[00:00:44] We have a Q&A panel, so please be sure to drop any questions that you have in that section, and as much time as we have at the end, we’ll get through as many questions as we can. Just a quick note, everything that you see today is live in Robin and Claude, so you can go in and test it for yourself after you set it up.
[00:01:05] We have a quick poll we wanted to launch to get some feedback from everybody. We’re curious, how long did your last space plan take, from request to move day? We’ll give you a minute or two to respond, and we’ll pop up the results in a couple of minutes.
[00:01:23] But I will pass it over to you, Ciara.
[00:01:26] Ciara Peter: Thanks, Austen, and thank you so much everybody for joining. We’re all here because space planning is so important. It really shapes how the office is used and all of your investments. And as you know, real estate is usually the second largest cost for a company, so every small decision really matters.
[00:01:47] Also, when people join and leave an organization, and organizations are changing, it is very tedious to make space plan edits every week, every time somebody joins. We’re here to help with doing that at scale. But also, hybrid offices are really different.
[00:02:14] In the past, space plans have been based on a one-to-one desk ratio, expecting everybody to come in three, four, five days a week. In a hybrid world, there are a lot of ways to make the office more efficient depending on the real behavior of your employees.
[00:02:32] The problem that we really set out to solve is that space planning can still be very manual and slow, and a lot of the information that you need is missing. So you might have questions like whether you can actually consolidate your space, or what to do with a new organization that is joining this building, maybe an acquisition.
[00:02:56] These questions come up all the time, and typically in a spreadsheet, this can be a very disconnected process. There’s a lot of politics that go into the decisions that are made without data. And an IWMS is very rigid, so you have maybe two to three different attributes that you can decide to organize the plan by, and it just doesn’t work in 2026.
[00:03:25] I think I saw a poll come up: three months. Yeah. Three months is sometimes how long the decision-making actually takes, but typically it’s a result of a lot of process opportunities. And so we are here to help with that.
[00:03:51] All right. Today we’re going to talk about space planning in Claude and MCP. We decided to build our space planning directly in the tools that you use, so you have a choice to do this in the context of the rest of your work, whether you’re using Claude, Copilot, ChatGPT, or even your own custom connector, or you can do this within Robin.
[00:04:22] The flexibility is really important. What we provide is pretty much every data point from your usage: the number of floors and desks you have, bookings and check-ins, what’s actually happening in the space, and some of the more advanced analytics that go into your decision-making process.
[00:04:44] The process can be completely customized. We’ll start with a question, and you can customize this to your organization’s needs. The Claude connector will process this in combination with your data. And as you’ll see in this example, we’re looking to organize around the anchor day peak.
[00:05:11] This org has different anchor days for different parts of the organization, and it’s found a way to split the space and really optimize it.
[00:05:24] From there, you can review the draft in Robin and publish it when you’re ready. The great thing about this is you can ask all these creative questions, and depending on which LLM you’re in, you can also combine Robin’s data with external systems. So you can imagine an HR system…
[00:05:46] …that lets you know in advance when new people are going to join the organization. You can look at who collaborates together if you want to organize by teams, from Jira, from your sales CRM. The decisions are up to you. So we’ll walk you through how to draft the right plan, get that into Robin, collaborate on it, and publish it. Here I’ll pass it over to Milo, who will do a demo.
[00:06:20] Milo MacPhail: All right.
[00:06:21] Hi, everybody. Thanks, Ciara, so much. As mentioned, I’m going to drop into Claude to do this. As Ciara alluded to before, this is built on an MCP server, which means that this is available in any LLM that you use across your organization. It will ultimately be available on platform in Robin as well, so you can stay right in that context.
[00:06:44] What I’ve done here at the start is invoke our stack planning skill. A skill is basically a program that runs in Claude, and it returns to me the current organization of this building, our building Neptune here in Robin, in our test organization. So this is a pretty standard stack plan format.
[00:07:09] As you can see, it gives me the departmental breakdown over here, and one of the things that we built into this as well is a person-to-person understanding of who is assigned to each of these seats. Each of these seats represents a real employee that we can then fine-tune here in the sandbox UI.
[00:07:29] As you can see, it also handles shared assigned desks. It can say, “Okay, Tunde is here on one day of the week,” and then their coworker, Stellan, is here on a different day of the week. All of those use cases that we have in Robin are also handled in this UI.
[00:07:51] That said, I’m going to use this as a real planning tool for just a second. I’m going to say that we in this office are trying to save on real estate costs, so I’m going to ask the LLM to fit the current workforce into as few floors as possible, and I’m going to say that it’s okay to reset the hotel or hot desks to assigned to accomplish that task.
[00:08:13] We can kick it off, and now this is where it does its magic. While it’s thinking, I’m going to draw your attention to a couple of other features that are built into this. We have the information on platform already about department and manager, so I can see this as a breakdown of manager, if that’s a way that you organize your teams instead.
[00:08:33] Neighborhood, for instance, if these are pre-drawn neighborhoods that already exist, if you have those built into your floor plan already. And we also have an understanding of job title, so we can group folks of a certain level of employee or higher. Say your executive team wants to either sit together or move to individual solo offices in a floor plan.
[00:08:57] That’s really achievable with this. As Ciara mentioned earlier, this can also be powered up from any external systems that can handle information that we maybe don’t have on platform in Robin. That might be an HRIS. That might be a better understanding from Jira boards about what teams work together most frequently, so we can get that behavioral data, including even from Slack messages or Google Calendar or any of the other ways that you can determine the best way to organize employees for collaboration.
[00:09:36] That’s really where this gets powerful: when you say, “Okay, all of the behavioral or HR data that we have, make Robin make the best use of that.” Further down, we also provide a really easy interface to start building projections.
[00:10:02] On the previous screen, Ciara mentioned that we maybe want to change everybody by 20%. We want to do an expansion of our workforce. Can you show me what that would look like, what my needs would be, if I wanted to increase the size of each department by 20%?
[00:10:27] And then I could move some of those things around here as well, so I could restack my office plan. As you can see… Oh, cool. This is our plan. It says that we can remove floor three, at a ballpark of $55 a square foot, or 175 square feet potentially per desk, which is data that we’ve just self-entered here.
[00:10:51] It also gives us a ballpark real estate savings of the amount of rent that we’ve saved per year. So again, that can be powered up to give us a really good understanding of what the business impact is going to be of any move.
[00:11:08] I like this. I’ve said, “Okay, these have all been grouped together.” Obviously we can’t fit all of our engineers on the same floor. That’s totally fine. But I like this, so I’m going to say please create this as a draft in Robin. And while it cooks, I’m going to drop right over into that to show you what happens when it creates it. One second, please.
[00:11:33] Excellent. It is already updated, which is marvelous.
[00:11:41] Okay, cool. Everyone can see this is our updated plan right here. It’s already fired over. This is our current plan. You can see that floor three now has those folks on it. Floor one has had its folks moved here. I can have it rename the neighborhoods as well if I wanted to.
[00:12:09] I probably should have just done that in the other screen. But this is the current allotment desired for each of our plans. From there, all I have to do is start the execution of the move itself. I can do that here in Robin very easily. I can also do it in the LLM. But to get consensus here, I’m going to invite Ciara to join this draft as a collaborator.
[00:12:35] A collaborator is a role that we have in Robin that is between a viewer and an editor. It’s someone who can move desks around but not publish a floor. So when you have teams where the team leader wants to do some of the final fit and finishing for where folks should sit, this is a great way to bring them in.
[00:12:55] So I’ll invite her, and then I will say, “Okay, great. I can notify users of assignment changes. I can export that CSV of changes to my facilities team, and I can now go and review and publish. Let’s say that we have alignment on it, and these are the floors that have the changes on them. So I will move through.
[00:13:16] Likewise, notify the users. I can add a custom message, and I can notify users whose reservations are canceled. Likewise, send a CSV and then publish the message maybe to my facilities team. Once that’s done, I’m going to publish those two floors. There will not be an error publishing the draft, but I believe it’s just because it updated.
[00:13:38] And the floor will get published and our floor will be updated. So it’s pretty simple to use the flexibility that your business needs and get it done in Claude, in Robin, on Robin. Well, thanks very much.
[00:13:59] Ciara Peter: Thank you so much, Milo. What we have just seen is the ability to plan your space, ideally going from months to minutes. We also talked about longer-term planning, but depending on what system you use in Claude, you can create a weekly task to look for new employees, assign them automatically to desks, remove people who have left the organization from their desks, and get a report.
[00:14:32] Space planning, as we mentioned, is not just something that you do annually. It’s not something that you just do when you have a big move. It’s something that really needs to happen all the time based on what’s taking place in your business.
[00:14:47] If you’re looking for inspiration, we’ve also launched the Robin Prompt Library. We will send this link to you in the follow-up email. We have several scheduled tasks that you can set up, as well as about 30 different prompts. You saw the stack planning prompt today, but we also have several prompts on how to create a hybrid policy, how…
[00:15:14] …how employees can personalize and book their schedules based on their lives and what’s important to them in choosing days to come to the office. A team planner for team events. You’ll be able to just input your information and copy and paste that into the LLM of your choice.
[00:15:40] As mentioned, this is available today for all Robin customers. There are just a few simple steps to getting started. The first step is that your Claude owner will add the Robin app. You can ask the owner of Claude directly to enable Robin for your entire organization, or you can click over to our listing and request it, and your Claude owner will receive that request and be able to enable it from there.
[00:16:21] Then, as a user, each person will connect to their Robin account through SSO. We also mentioned MCP. For different systems, if you have a custom LLM for your organization, or you can’t wait to get your hands on Copilot or ChatGPT, we have instructions to set that up, and they’re fairly similar to this.
[00:16:50] You also have the ability to turn this off and on. We hope that you all leave this on and try it out, because it’s a great experience. But our external AI assistant access will follow your policies. So if you decide that you do not want people using Robin with external data, you can turn that off within Robin.
[00:17:20] And that’s it. The easiest way to learn this is to connect it and just go ahead and try it. Start asking questions. Like Milo mentioned, nothing automatically publishes. It is safe for you to get in there and test different scenarios and experience it for yourself. So at this point, I think we’ll move on to questions.
[00:17:46] Austen Blass: Yeah, so we have a few questions here.
[00:17:48] You touched on this a little bit already, Ciara, but someone asked where they can find Robin in Claude, and you can find that by going to connectors in Claude. I will share the link to our listing in the chat as well. If you have any issues finding it, you can also reach out to our support team or your CSM.
[00:18:11] And then, Ciara or Milo, could you talk a little bit about the reporting capabilities that we can do in Claude?
[00:18:20] Ciara Peter: I can talk to that. If you have advanced analytics, you can report on any data point in Robin. If you had imagined a dashboard in the past that has some kind of very customized capabilities, now you can just type that into Claude and it will build the report for you.
[00:18:42] That could be anything from existing usage to predictive analytics. You can mash up Robin data with an external system if you want to understand how different parts of the organization work together, if collaboration data is really important to you. You truly can create whatever report you like.
[00:19:09] And if you want a report sent to you, you can also create a weekly task that will run that report and deliver it to your inbox, Slack, Teams, whatever you prefer.
[00:19:23] Austen Blass: Cool. Another question that came in: can you talk about how Claude works with our user permissions in Robin?
[00:19:30] Ciara Peter: Yes. Claude respects the same user permissions. Dependent on the role and the permissions associated with that role, if somebody with a limited access role attempts to create a scenario plan, our tools first look at what you have access to, and they would not be able to do that.
[00:19:57] Similarly, the visibility matches. In Robin, if somebody wants to work with their team and the team has publicly reserved desks, that person will be able to use that same public, or at least within-the-organization public, information to plan team days. But they would not be able to see more personal information about the team’s past usage or anything that is meant to be private.
[00:20:30] So this connector matches and reviews all permissions that are already set in Robin.
[00:20:39] Austen Blass: Okay. There were a couple of other questions that came in that our team will follow up on individually. I think that about does it for today. Thank you so much, Ciara and Milo, for walking us through this, and thank you everybody for joining us today.
[00:20:57] We hope that this was useful for you, and we’re excited to hear how you’re using Robin and Claude.

