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5:17 min
View Full Video Script
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One of the biggest challenges during financial close isn't loading
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trial balance data, it's knowing whether you can trust it.
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Controllers spend valuable time investigating validation
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failures, reconciling inconsistencies, and
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determining whether reported balances actually comply with
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company policies and accounting standards.
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The Board Controller Agent accelerates the entire validation rule
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review process by analyzing uploaded trial balance
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data and immediately highlighting potential issues
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before they become reporting problems.
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In this example, we've already loaded a trial balance for the
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December reporting period. Rather than manually
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reviewing the validation reports or navigating multiple
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analysis screens, we simply ask the agent to
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handle the validation rule process for review
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prior to submission.
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The agent begins by confirming the reporting context,
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verifying the entity, scenario, and reporting period
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before starting its analysis. This governance
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step ensures every recommendation you receive is
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based on the correct financial data.
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The first use case focuses on the validation rules your
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finance organization has already
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configured. Many organization define business
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rules that every reporting package must
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satisfy before consolidation can continue.
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Instead of manually reviewing dozens of validation
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reports, the agent evaluates the uploaded trial
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balance against every applicable rule.
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Within seconds, it summarizes any warnings and
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validation errors it's discovering.
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More importantly, it explains each of those issues to you,
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identifying that the validation rule failed,
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describing the accounting inconsistency itself,
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highlighting the likely business cause, and suggesting where
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finance should begin investigating next.
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Rather than simply reporting the problems, the Board Controller Agent
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provides meaningful financial context for you.
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This dramatically shortens one of the most repetitive parts
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of the financial close. Controllers no longer need to navigate
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multiple validation reports or manually interpret
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hundreds of individual rule failures.
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Instead, they receive a prioritized summary that allows them to
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focus on resolving the exceptions instead of searching for them.
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Finance professionals spend less time gathering the information
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and more time making informed accounting decisions.
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The second use case is even more powerful.
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What if your organization hasn't configured an extensive library of
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validation rules yet? Or what if you'd like an additional
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review beyond the controls you've already defined?
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In this mode, the Board Controller Agent performs an
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AI-driven accounting review. Instead of relying
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solely on predefined rules, it analyzes the trial
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balance using accounting knowledge and financial best
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practices to identify relationships,
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inconsistencies, and unusual balances that
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deserve further investigation by the controller.
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It's like having an experienced accounting reviewer perform
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an initial assessment before the close process
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continues. This capability is especially valuable
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for organizations implementing a new consolidation process
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or those still building their financial controls.
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The agent immediately begins identifying accounting issues
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without requiring extensive configuration.
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Over time, finance teams can use these AI-generated
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insights to strengthen their governance process.
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Recurring issues can be converted into formal validation rules,
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allowing organizations to continuously improve the quality
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and consistency of their financial controls.
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The Board Controller Agent handling validation rule
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analysis empowers local finance teams to
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resolve issues before data reaches corporate
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consolidation.
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That reduces the back-and-forth communication with central
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finance and allows corporate teams to focus on significant
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exceptions rather than the routine validation work.
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For controllers, this value is straightforward.
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Instead of spending hours interpreting validation
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reports and investigating inconsistencies, finance
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teams receive an intelligent review that explains what was found,
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why it matters, and where attention should be
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focused. The result is higher quality financial
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data, less manual work,
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stronger governance, and a faster, more confident
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financial close.