From Signals to Strategy: Building AI-Native Competitive Intelligence Workflows | AlphaSense

Hi everyone. My name is Sina Falaki. I'm

joined here by Diana Gall.

For anyone joining us for the first time, let me start with a quick reset on AlphaSense.

AlphaSense is the AI platform trusted by leading financial and corporate teams to turn information overload into decision-ready insight.

We bring together the sources your team already depends on, earnings calls, expert interviews, filings, broker research, trade press and more. And

apply AI across the full content universe, so you can get to insight faster and with more confidence.

And that framing matters for today, because this session is not really about introducing AI.

Most of you are already using AI in some part of your competitive intelligence workflow.

You already know the promise.

What's more interesting and frankly more useful is seeing what an end-to-end workflow looks like when it's actually running in production.

That's what today is about.

Diana's going to show you how a senior competitive intelligence leader actually does this in the real world. How she

defines the right peer set. How she

structures the keyword taxonomy. How she

populates the grid. And how she turns all of that into a briefing leaders can use.

Before I start in terms of the presentation, I want to introduce Diana Gall.

Thanks, Sina. Um so, as Sina mentioned, I've been in the competitive intelligence field. I work in the

intelligence field. I work in the pharmaceutical industry. I'm currently

pharmaceutical industry. I'm currently at J&J. Um prior to that, spent many

at J&J. Um prior to that, spent many years at a smaller company called no pharmaceutical company. So, I've spent

pharmaceutical company. So, I've spent 30-plus years in the competitive intelligence side of the business.

Really believe in the value that competitive intelligence provides and how it can be used to inform business decisions and strategy. And if I think back to when I started and uh some of

the things that we'll show you today, how long manually it would take to do that and now using AI workflows you can accomplish that in minutes and really free your brain up as I like to say to

focus on the strategic impact, the strategy versus calling through data.

So hopefully you'll get a lot out of today's session.

Thanks Diana and I want to say this is part of the webinar. You guys will all have access to this deck.

So we'll be sending this deck out to you as a as a thank you for participating in as a as a uh guest in today's webinar.

And you'll also see the Q&A panel at the bottom of the screen. Please send in any questions at any point during the discussion and we'll get to as many of them as time allows at the end.

Um Before we get to it, I want to do a little bit of a user opinions. So before we begin, just

user opinions. So before we begin, just a quick but important note.

The views Diana shares today are her own in her individual capacity and do not necessarily reflect the views of or positions of Johnson & Johnson.

We share that simply to frame today's conversation of what it is, a real practitioner perspective on how these workflows get built and used in practice.

Uh take it away.

Thanks Sina. So I'm going to talk a little bit to start out around peer analysis and why it's important and I think of peer analysis as being a corporate level intelligence focus on

capturing a company's overall performance. It's how companies compare

performance. It's how companies compare themselves against their direct competitors. You want to be able to

competitors. You want to be able to understand their strengths, their weaknesses and what their market position is regardless of industry. I

mean my experience is on the pharma side but it applies really to any industry.

It allows you to benchmark a company's performance, ranking and strategic direction relative to companies within that same industry.

With a focus really on a broad assessment across the value chain, whether it's commercial in our case, medical, marketing, R&D, innovation and more. It'll give you a clear picture and

more. It'll give you a clear picture and a clear view and allows you to identify opportunities as well as potential risks.

Understanding your competitors strengths and weaknesses allows you to focus on the areas where you can excel and really differentiate. And I do see this as an

differentiate. And I do see this as an essential strategic tool that provides you with a clear view of the competitive landscape. It's an opportunity for you

landscape. It's an opportunity for you to zoom out and really assess how the peer set is responding to macrodynamic influences, tariffs, things like, you

know, in pharma inflation reduction act, increasing R&D costs. It allows you to identify key themes that are emerging across your peer set, whether it's AI

deployment, tactics to streamline costs, business development, and really start to analyze the downstream implications of these. At the end of the day,

of these. At the end of the day, it's about enabling senior leaders to more easily visualize immediate and long-term threats, as well as potential opportunities. Competitive intelligence

opportunities. Competitive intelligence is all about providing insights. When

you think about it, we don't make in CI, I don't make those big business decisions.

But what the insights that I provide help inform those decisions and allow senior leaders to make the best decision given the insights that are provided at the time.

Next slide.

So, it's really important to think about your peer set as as the slide says, a living hypothesis, right? It's not

They're not a static list. You need to review the companies that you select as part of your peer set, and then over time, as industry shifts, as market

shifts happen, really evaluate those companies and determine should these still be within my peer set? Do I need to add a company? Do I need to remove a company?

And you want to really think about, you know, when you're choosing those companies, where do your portfolios overlap, right? What are some of the the

overlap, right? What are some of the the the threats and even opportunities that you see that might overlap that would you would want to put that company

within your peer set. And where they going? What's the forward direction? And

going? What's the forward direction? And

being able to use an AI workflow to help you identify these signals more quickly really can make you more nimble in terms of well, this company's been in the peer

set for a while, but you know what?

They're In my case, maybe they're getting out of a particular therapeutic area, so we should remove them and maybe there's another company we want to add.

So, it's not a one-and-done list, if you will. You want to

will. You want to keep that out and keep that in front of you and refresh it as needed.

Next slide.

So, I think of the when I think of CI and I think of monitoring, I always refer to it as this continuous monitoring.

Um you really no longer need to search or what I'll call traditional search, right? Where you go into a platform and

right? Where you go into a platform and you put some keywords in and then you go back a couple weeks later or whatever and redo that.

With AI, you really can build structured prompts and then you can run them against the 10 or 12 companies that you have identified

for your peer set and set up alerts in a platform so that the alerts trigger you as these key events happen so that you're really staying on top of them.

Once you build the peer set in the initially and you build those alerts and you build those taxonomies and searches, they just monitor and they just run.

And if there's a new um industry event that happens or a new macro, you know, dynamic trend, it's easy enough to add it, but you really do

build it once and then which is what I've done and I've done throughout my career and it just keeps running.

And you know, being able to get paying to get an email when something new happens at the time that it's happening is a lot better than being looking backwards, right? CI, you always want to

backwards, right? CI, you always want to look forward. You want to be able to

look forward. You want to be able to have that foresight and to better predict what's happening and AI can help you do that.

And so, I want to talk a little bit about the taxonomy, a little bit about run how this runs across the full content universe.

As as a whole. And one part of this is I think this shows the course shift from content collection to real intelligence.

Most teams already have access to many of these sources, whether they're earning calls, they're regulatory feeds, they're filings, they're broker research, expert calls, there's conference coverage, trade

press, investor presentations. The

challenge is that each source holds only part of the story.

So, analysts end up stitching insights together manually. And I think what

together manually. And I think what we're talking about today is what AlphaSense changes is the layer in the middle. The taxonomy runs across the

middle. The taxonomy runs across the full content universe.

That means you could use it to apply a consistent lens across all of these source types at once, not one by one.

With generative search, teams can ask complex market questions that we'll show later today as well in natural language and get cited answers grounded in this broad content set. With generative grid,

it will and we'll show this later today as well that they can compare companies, themes, or signals side by side across a peer set. And with deep research, you

peer set. And with deep research, you can now take that analysis a step further and generate a structured output, outputs like briefings, memos, or

slides. So, instead of searching source

slides. So, instead of searching source by source, the platform helps teams detect patterns across this full market narrative.

And that's what creates the outputs on the right. They're layered themes by

the right. They're layered themes by vertical. In life science, maybe it's

vertical. In life science, maybe it's IRA, a patent cliffs, or RWE strategy.

Or drug trials in TMT could be AI capex cycles or sovereignty policy. The more

important is that Alphasense not just surfacing documents, it's helping teams move from this fragmented market signals structure decision-ready themes. By

combining its premium content with domain-specific AI.

So this is an example of a particular market signal and in this case we chose the IRA, you know, the Inflation Reduction Act and being

able to use the grid, which we'll show you, I'm going to show you live next. It

allows you to pick up on these signals, things that you don't always see in the news, right? And it's the same Inflation

news, right? And it's the same Inflation Reduction Act is the same regardless of what the company is, but how it impacts the company, how the company reacts

differs across your peer set and being able to take advantage of AI and take advantage of that grid technology floats this to the surface in a single view

and makes it much easier to see in this earlier point, you know, some years ago when you do this type of work, you would have to open every document. You would

have to open every earnings call document, every transcript, every analyst report. You don't have to do

analyst report. You don't have to do that today.

And again, what I said earlier is I let the machine do what the machine does best and that is cull through all of this information and float to the top what's most important for me to really take a look at.

Um so we're going I'm going to switch uh to a live demo, so give me a moment.

Share my screen.

That's the output, but I want to show you where how I got there. Okay.

So I'm going to show you the generative grid.

So this is the live a live grid that I built um competitor companies and I use this and this can be used for earnings calls. So,

this is first quarter 26 earnings.

And I have all the first quarter 26 earnings added for the companies of interest. And then if I scroll across,

interest. And then if I scroll across, you'll see at the top what the categories are.

And if I clicked on here, you'd actually see the prompt that I'm running.

So, what are And these are things, you know, regardless of the company, regardless of the industry, you want to understand what your competitors growth drivers are. You want to understand what

drivers are. You want to understand what headwinds are they facing?

Um, you know, I'm interested in what's going on in the different geographies where they um market. I'm interested in segments of

market. I'm interested in segments of the business. So, for in my case, it's

the business. So, for in my case, it's therapeutic area segments. In another

industry, you know, it obviously would be something different. Um

Positive highlights. The capability

allows you to pull through, you know, so what are analysts What is being said in these earnings calls that are positive?

So, what are the positive sentiments and what's the more negative? Um, and that's always interesting for me to see what pipeline advancements. I'm also

pipeline advancements. I'm also interested in understanding what pipelines they just what drugs they're they're discontinuing in their pipeline.

Organizational changes and what's going on from a BD perspective. So, in one view that you and I won't take the time I should have downloaded this to Excel, but I did not. Um, you can download this

to Excel and you have it. And you can see on the left-hand side, you know, I always keep a couple quarters back because in case I want to go back and refer, you could actually put it all in one grid. I just like to keep my

one grid. I just like to keep my quarters clean.

Um And then, you know, for second quarter, I will simply copy this grid. And then

as the second quarter earnings transcripts become available, they get added and I'll have the exact same document. Um, you know, the exact same

document. Um, you know, the exact same view for the next quarter. So, I you know, this really is one thing that you can all do if you're not doing already on a quarterly basis. It's really important to

basis. It's really important to understand what your competitor set is reporting out.

Does this grid mean I don't dial in and listen to the earnings calls? Absolutely

not. I'm still doing that.

But, I'm listening differently. I'm not

listening or I should say half listening what I used to do cuz I was more concerned with jotting down and making sure I got the sales numbers right and jotted down what some important things were being said. I

don't have to do that anymore. I'm

listening differently in a sense that I'm listening for tone of voice.

I'm listening for when an analyst asks a CEO or the investor relations person a question and that person hesitates and they say, "Oh, yeah, that's a good question. Let me give that some

question. Let me give that some thought." So, in my mind I'm thinking

thought." So, in my mind I'm thinking they either don't want to say and they're trying to figure out what they can say or, you know, maybe the answer's not going to be good and they're trying to sugarcoat it or whatever the case may

be. But, the grid technology allows you

be. But, the grid technology allows you to listen differently and you don't have to jot down everything because this picks it up. And I'll be honest with all of you,

up. And I'll be honest with all of you, um when I first started to use this, did I look at the actual earnings transcripts as well? I absolutely did.

You know, that old saying trust but verify? I don't do that anymore because

verify? I don't do that anymore because the technology, um you know, it really is good in capturing what I've asked it to capture according to the prompts that were important to me. And I'll tell you you

can take the basic grid, which is what I did, and just add some prompts and tweak them. So, you really don't have to start

them. So, you really don't have to start from scratch. Um so, this is the grid

from scratch. Um so, this is the grid technology that I wanted to show you works really, really well with earnings calls and you could also do it with the expert interviews as well. Um

So, keep that in mind. And the other thing, couple things that I ran, um that I'll show you next.

And I I'm not typing it in live cuz some of these things do take a few minutes to run and I want to be mindful of time.

Um but let me say this. At first I was like, "Oh my goodness, this took like 5 minutes."

minutes." But when you say that, then flip that and say it would have taken me like 5 days to compile all of this information had I had to do it manually. So,

um if there's anybody on the call who knows me at all, you know I'm not a very patient person.

Um I want like I want to click a button and get it instant result. Um but what takes 5 6 minutes would take you weeks to do. So, I just put a question in and

to do. So, I just put a question in and asked um the platform to compare AbbVie, Pfizer, Merck, and Bristol Myers Squibb on recent pipeline developments and their commercial implications.

Um but this is the research plan and you can see what I got back.

Everything is sourced, clickable. You

can get to the source. You see the sources here on the left. If I scroll down more toward the bottom, and I'll show you this cuz I did download this uh

two ways. You can and this is pretty

two ways. You can and this is pretty long cuz it was a lot of companies.

You can copy this to a clipboard, which I did and I'll show you what that looks like in Word.

You can build slides and I'm going to show you the slides cuz this is really cool. So, to take a Word document and

cool. So, to take a Word document and have to convert that to PowerPoint yourself takes time. And are the slides 100% the way you might want them when I pull them up, you'll see. Maybe not, but

I always look at it as it's better than starting with a blank sheet of paper and it gets you 70 80% of where you want to be. The other thing I like that I'll

be. The other thing I like that I'll point out um you get related questions. So, sometimes

these related questions might be something that you didn't think about and you can read this and say, "Oh yeah, you know what? I would be interested in the key regulatory reimbursement challenges." And you just click the

challenges." And you just click the question and it runs.

So, always take the time to scroll down and look at the additional questions cuz I find those extremely useful.

Um let me just show you. So, this was not very exciting. It's just the Word document, but you can see it cuz it comes into Word.

More importantly, you get the references. So, you can if if you're

references. So, you can if if you're reading something and you say, "Geez, I don't know. I listened to this call.

don't know. I listened to this call.

This doesn't really make sense based on what I think." You can just click and get right to the reference. And then at the bottom, the end of the document, oops, are all the references.

And again, they come in clickable, so you can get right to it.

So, I'm going to show you the PowerPoint slides.

So, this is what and this did take maybe about 10 minutes or so. Um but think about how long it would take you to to do them manually. And the nice thing about this is again, everything is sourced.

They're editable.

So, you can just, you know, clean them up. You know, you're going to have to do

up. You know, you're going to have to do a little bit of clean up. They're not

perfect, but this is a lot better than starting and and, you know, and doing it from scratch. So, you can see these were

from scratch. So, you can see these were all the slides.

Um your user your query's always in the back. And then the legal disclaimer,

back. And then the legal disclaimer, which gets put on everything we do with AI, right? We know AI is not perfect.

AI, right? We know AI is not perfect.

That's why you always need the human in the middle, as I say or people say human in the loop, but I don't think you know, when I think about what we what we do in competitive intelligence, it it's never going to replace that

human being. What it's doing is it's

human being. What it's doing is it's giving my brain capacity to think about what does this all mean? What does this mean to my company? What are the implications? And therein lies the value

implications? And therein lies the value of what we do from a CI perspective. So,

that's the PowerPoint slide. Um one

other thing you may want to consider running, and let me go back here, is doing a SWOT.

So, for CI, you know, SWOTs are um really important to understand. So, I

basically just said create me a SWAT.

And it ran.

And then I said, all right, well, while I'm at it, build me some slides.

So, I have a really nice SWAT on Pfizer in slide form. And interestingly, you know, some of these charts and graphs might be not be ones that I might have used, but there's some in here that I

thought, oh, that's actually a good way to show it. I'm going to leave it. And

again, this is all clickable, editable, and referenced.

Um so, we talked about the grid. We

talked about using the um the AI capability, the the structured prompts. I do have alerts running, so

prompts. I do have alerts running, so you can build build searches and then build just save it as an alert. And the

other thing I'll show real quick is you can organize and create a workspace, which I have for peer set analysis. So, I have all the

companies. I have their event

companies. I have their event transcripts. I have news. I have company

transcripts. I have news. I have company presentations. So, it's all on one page,

presentations. So, it's all on one page, so I can easily come in here um and just take a a quick look.

I do get alerts, as I mentioned, so I get alerts every morning. If there's a hot topic or something that I'm monitoring and I know is going to be released soon, I'll actually set the alert up so that I get pinged every time

something new gets published that matches my alert. You do want to be careful what you wish for there because there I've done that where I've gotten like, you know, every 15 20 minutes I'm getting another email. Um but if it's something you really tracking that's

important and you don't want to miss it, it's a good thing to do. And you

basically just go to search um and then you build your search. And

once you build the search, you have the ability to save it and you can see I have a bunch of saved searches.

Um All right, that's what CINA wanted to show on the platform. Did I miss anything from your perspective?

I think you got all of it. And just uh and I'll kind of play this a little bit later today. Um the next section is if

later today. Um the next section is if you don't have this functionality, please contact your AM. We are opening beta as well on all of this live functionality, too. So, if that's

functionality, too. So, if that's something that you'd like, let us know and we'll be sure to add you to it, uh, as well. So, let me just shift this a

as well. So, let me just shift this a little bit to what what separates teams. And as Diana showed and mentioned, first, they treat taxonomy as IP. It's documented. It's

versioned. It's mapped to the questions leadership actually cares about. So,

when priorities shift, the workflow shifts with that. And in AlphaSense, that means you can operationalize those themes across the platform.

Whether in saved searches, monitoring, workspaces generating great comparisons, or deeper synthesis and deep research, that taxonomy becomes a reusable asset.

Not something built from scratch every quarter. And second, teams synthesize

quarter. And second, teams synthesize this across the cohort, not by company by company. This is I think this is

by company. This is I think this is where a lot of teams miss the signal.

The real insight often comes from seeing the same prompts on the same cadence across the same dimensions for every peer. That's exactly where generative

peer. That's exactly where generative grid is powerful because it lets teams compare companies side-by-side and spot cross-cohort patterns much faster than single-company deep dives ever could.

And third, they optimize for executive readiness, not analyst rollout. So, the

goal is not more reporting, it's faster decisions. That means the workflow has

decisions. That means the workflow has to end in the format leadership actually uses.

Whether that's a briefing, a one-pager, a deck, a summary doc.

And with with with AlphaSense, teams can move from research and comparison into decision-ready outputs instantly using deep research.

And that's why the point on the on the right matters so much. Diana's workflow

stands out because it's clean, it's disciplined, it's replicable. It's not

built around heroic effort. It's built

like a system that other teams can adopt.

So, uh, Diana, do you want to talk a little bit about auditing your workflow here and then we can then talk about the the executive ready in this slide.

Sure. So,

um as I said earlier, you want to when you create your peer set, you want to make sure it is a living document that you are reviewing it. It's not just one and done and 5 years later you look back and say, "Oh, I really should have added

this company." Um so, you want to keep

this company." Um so, you want to keep that handy and as you're monitoring and continuously monitoring the market, you know, make adjustments where you can.

Um you know, when you're building your searches and prompts, you know, the nice thing about being able to put a prompt in kind of natural language if you will, you don't have to necessarily worry, did

I put the right words in? Did I, you know, is there a word in there that's going to throw it off?

Um so, the taxonomy um and again, you want to you want to review that. So, I do have a number of

review that. So, I do have a number of searches and saved alerts running uh and I do on occasion modify those if something changes that I want to start to pick up as well.

Um I think the taxonomy that's behind that runs in the platform, if you search on the word strategy, there's a whole bunch of other synonyms that are going to get picked up. So, don't worry about

trying to think every single word that could mean, you know, forecast because um just put one or two of those words in and and it will run and pull in a lot of

other synonyms that you might not even think about. Um but again, you know, you

think about. Um but again, you know, you want to review that. The grid um really you know, it's made

monitoring earnings calls so much easier uh and you want to really take advantage of the the generative grid that comes kind of out of the box if you will, has

good prompts, but you want to think about for you, for your industry, for the things you're monitoring, do you want to tweak those? Do you want to start from scratch and just create prompts um

all on your own, that's fine, know works as well.

Um and then, you know, being able to have that comparative view, being able to run those types of prompts that I demoed and and dump those into a Word document or dump it into PowerPoint, you're 3/4 of the way there already for

your executive briefing and you can tailor that. You know, you can pop the

tailor that. You know, you can pop the slides on your own company's template.

It's easy enough to, you know, to pop them in and change the template.

There are times where I deliver slides, there's times where I'm delivering a Word document, you know, more of a a briefing type document.

So, it it you know, it's really very flexible. And I hope if nothing else

flexible. And I hope if nothing else today, you walk away with some ideas, maybe some things that you aren't using or aren't doing that you can then fine-tune. Um,

fine-tune. Um, but hopefully you saw how easy this is to set up. And I think, you know, where does this get you at the

end of the day? You're you're you're disseminating insights, you're providing insights to inform better businesses decisions more importantly before you

are asked. So, if you understand

are asked. So, if you understand the the marketplace and the environment and you understand your competitors, you can be far more proactive and you

can be providing insights to inform better business decisions proactively before you're asked. Um, and

that, you know, that again, that's the value of CI. Once something hits the news and something is published, it's little it's kind of late, right?

So, you want to try to get out and get out ahead of that. Um, and using AI allows you to see patterns far more easily. And those patterns then as a CI

easily. And those patterns then as a CI person, right? What are we doing? We're

person, right? What are we doing? We're

taking disparate sources of information, we're putting it together, and we're looking at that puzzle and we're saying, well, here's what this means. And if this puzzle moves, if this

means. And if this puzzle moves, if this piece moves, or this piece gets lost, what does that shift mean? And, you

know, take advantage of the technology that you have at your fingertips to get you to that point better, faster, more efficiently.

And I just want to add one more time here as well is that intelligence, as Diana mentioned, is fragmented. Generic

AI can help draft, but when the output is going to inform a board discussion, an IC memo, or a model that drives a real decision, it has to hold up. And

that's what we're launching here. First,

we're launching deliverables in gen search, so teams can go from a single prompt to a board deck, a thesis, or briefing on a on a company's template

with every claim cited. Second, we're

launching AlphaSense for PowerPoint, which brings the content library directly into the deck building workflow, so teams can query, populate, iterate, and refresh. And third,

AlphaSense for Excel, so users can pull live financials and comps with full traceability in Excel, and even edit the models in plain English while preserving

formula integrity.

So, the reason this holds up where generic AI doesn't is at the bottom of this is that every output is cited, it draws on a full intelligence, not a thin layer of public web content, and it

works on your templates, so the output is not just generated, it's actually usable.

So uh one more time for everyone on this webinar today, if you'd like to get access to this, please let your AM know.

Um please let one of please let our webinar host know. Send an email over, we'll get you added to it as well.

And for that, we have a bunch of questions here, Diana.

Yeah, there's a couple people asking about prompts used.

Um so, basically, what I did was, and let me see, and I'm just going to share my screen.

Sure, yeah, of course.

Um Easier said than done, I lost the share button.

Okay, wait, let me close the questions.

There are too many things open.

Um All right. So, I did a combination. I

All right. So, I did a combination. I

used some of the prompts that come in the basic grid technology. And if I click here, for example, you'll see for business development, what business development activities

occurred, include mentions of merger and acquisitions, partnerships, or any related business development activities.

So, when you click in here, you can see what my prompts are. Describe the key organizational changes, including leadership transitions, structural reorganization, significant shifts in

company strategy, or personnel.

So, I used a combination of prompts, basic prompts that are available when you first get the grid technology, and then I added a couple, and I will be in

full transparency. I did use a little

full transparency. I did use a little chat help while I was in AlphaSense and said, "You know, here's what I'm trying to get. Here's what I have. Is this the

to get. Here's what I have. Is this the best way to ask this, or should I do it do it a little differently?" So,

um there are very good technical, very good um people uh I don't know what you guys call them, Seena, but people who answer those live chats and are very, very good at what

they do. So, um don't be afraid to ask

they do. So, um don't be afraid to ask them for help. If you could have an understanding of what it is you're looking to track, um you know, they're really good at helping you. And you can see here for pipeline, extract the

detailed description. So, it's not even

detailed description. So, it's not even a question. Extract the detailed

a question. Extract the detailed description of pipeline or clinical trial advancements, including its purpose, key compounds, and any significant characteristics, etc. So, um

I think that answers a lot of the questions that had to do with the grid.

And if people want to reach out to me, you know, just feel free to send me an email. If I can, you know, answer other

email. If I can, you know, answer other questions once we get off the call, I'm happy to do that.

Uh Is the grid checking against prompts on a regular cadence?

So, the grid I have set up, it's done on a I do it on a quarterly basis. So, mine

is specific for quarterly earnings.

I don't know.

Seeing if there's anything in there that jumps out for you.

I'm trying to go through these quickly.

Yeah, um let's see.

Uh, what form format does your taxonomy take? How do you provide this to Alpha

take? How do you provide this to Alpha Sense AI?

Does your taxonomy take?

So, this this can all be basically presented in in in the formats are kind of like are up to you to be presented whether it's a a graph within the search itself, a deck

within the search itself, a document output within it as well. So, that's all things that it can be can be done as a whole too.

And I think of taxonomy, someone else has a question.

Uh, yes, it's the prompts, it's the keywords that I've used to build the search alerts.

Um, so I I kind of use those in my head a little bit interchangeably.

Great, great. Okay. So, I know we're running out of time here.

Um, just so everyone's aware, Alpha Summit is coming. For everyone on this webinar, please use this code to get $100 off with it. Um, if you'd like to learn more, you can also scan this QR

code on screen. We do have Shaquille O'Neal as one of our keynote speakers, along with a lot of different influencers and in titans in the community as a whole. I think Alpha Summit is a great opportunity to go

deeper with the community, hear how leading teams are evolving their workflows, get a closer look at where the platform is headed next. Diana gave

a little bit about her workflow today, and at Alpha Summit you'll see many more different participants and practitioners talking through workflows as a whole.

Um, so thank you all for joining us today. We'll be sending out the deck if

today. We'll be sending out the deck if we haven't already to you all. And as I had mentioned if you have any key questions for us, just send them through an email and we'll be sure to respond to them.

Thanks all.

Thank you.