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4:35 min
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Hi, this is Stanton Jones with technology research and advisory services firm ISG.
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Companies in sectors like retail, CPG, and manufacturing are indicating a strong
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desire to redesign their business around AI in order to drive more profitable
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growth. And this is one of the big reasons why we see companies in these sectors
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wanting to move towards an integrated business planning model, often supported by
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enterprise performance management or EPM software.
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So with me today to talk about this topic is Björn Maaz.
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Björn is the practice lead for the Office of Finance at Board. Welcome, Björn.
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Hello, Stanton. Thanks for having me.
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So Björn, as you know, the EPM space is very competitive, which means that
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enterprises have a lot of options today.
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So let's talk about what you think differentiates Board from your competitors.
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Yeah. So there is one major differentiator in my mind, and that is that
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we are really running everything on one platform, on one technology stack also.
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So that means your financial close, your actuals, is on the same platform as your
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financial planning, so there's no reconciliation between the two or duplicating of
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data. And this is not only true for financial planning and actuals, also for
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all the other use cases on the platform.
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So going really from strategic planning down to daily liquidity management or even
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down into operations, something that's very important for the industries you
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mentioned at the beginning.
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And this also translates into the technology roadmap.
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So you will not see your use case being sunsetted because the technology stack
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behind that or the tool that was acquired is sunsetted.
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This is something that's not happening with Board, and every new development that
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flows back into the platform, every new feature is also usable with that in every
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single use case. And this is one
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differentiator that has a real impact for the customers.
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Thanks, Björn. So our research shows a lot of interest in using AI to improve
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planning, but also enterprises are really struggling to get their applications
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prepared to interact with AI agents.
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So let's talk a little bit about the architecture of your agentic AI solution and
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how you think that's going to benefit customers.
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Yeah, important points. And this is, again, something where the shared technology
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stack, the one platform, plays into because our agents are part of the platform.
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So they make use of the functions of the platform.
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They access the data right in the platform.
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And really important, they never hand out your data outside of the platform.
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And this allows us in the same way as
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I described before with the use cases, our agents also they are use case specific.
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They understand our own solution, the functional context, but also the specifics of
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the
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client solution. And they are able to interact with each other.
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And this, in my mind, is the only way to provide truly agentic AI on one platform.
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Thanks, Björn. So just to summarize here, Board is one integrated platform with
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planning, consolidation, and reporting all running on the same tech.
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So for customers, that means no additional reconciliation is going to be required,
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which can help to improve accuracy and speed.
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But it also means that it's a system that is AI agent ready, which we believe will
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be a key area for enterprises to consider going forward.
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Exactly that, Stanton. And I would say if you're in a position that you're in the
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middle of a finance transformation or in need of a new steering concept,
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and have also the AI topic on your desk, then I would invite you to
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approach us. We offer workshops regardless of the maturity of your project, at your
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beginning of the journey or at the end.
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But with Board, together, you can shape this new future rather than follow the
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trends that are already there.