00:00This is a detailed demo of Ledger Agent, the AI assistant that automates monitoring in Oracle Fusion Cloud Financial Management.
00:09It follows Alex, an assistant controller for a large multinational organization, using Ledger Agent in three scenarios,
00:16creating a monitoring prompt, addressing hardware and equipment liability variants,
00:22and monitoring remaining performance obligation versus forecast.
00:27Alex and his team need to monitor a number of conditions over the month, like period variances, operational controls, anomalies, and exceptions.
00:36Alex relies on reports and dashboards that have been provided by IT to identify these conditions.
00:43Investigations can involve analyzing this information in spreadsheets with formulae, transactional inquiries,
00:49and drill-downs to explain these conditions, making the process time-consuming.
00:53The Ledger Agent replaces this with the new agentic experience in Oracle General Ledger that is a significant step up in automation and efficiency.
01:04Alex uses the new General Ledger experience to see the insights and alerts that are tailored to his function and relevant to his areas of interest.
01:12At any point in time, Alex knows everything that is being monitored and receives insights when the conditions are met and his attention is required.
01:21This gives him a sense of control and operational readiness throughout the period.
01:27Alex can create a new monitor using a collection of prompts already provided to use as a guide and personalize.
01:34He decides to use a simple natural language prompt to monitor marketing expenses and compare them with the same time last year.
01:40The Ledger Agent interprets the natural language prompt and translates that into application concepts like account values, thresholds, and time dimensions.
01:51Alex can specify the exact account values and hierarchies to avoid ambiguity and ensure accuracy.
01:58General Ledger also interprets the frequency and time span, so Alex is now ready to activate monitoring without needing any IT help.
02:06Monitoring for prompts is a fundamental shift to how accounting operates, wherein the Ledger Agent continually and proactively monitors for you, ensuring that the numbers are accurate and up-to-date for any business analysis.
02:21Let's change gears and look at the second of the three scenarios addressing a hardware and equipment liability variance.
02:29Alex's company is expanding its capacity to meet the growing demands for communications and AI services.
02:35Alex keeps an eye on expenses closely and any significant changes in the company's short-term obligations.
02:42He uses the Ledger Agent to monitor quarter-over-quarter liability variance for that.
02:48When the variance crosses the threshold, Alex is presented with a summary, directly drawing attention to what might have caused the condition to trigger.
02:55As Alex explores the insight, contextual analysis is presented at every step, allowing Alex to step directly into the contributors for the variance.
03:05In this case, identify an Austin Data Center expansion as the single largest contributor.
03:11Alex asks for the contributing invoices.
03:14In the past, this would have needed several reports and sub-Ledger transaction inquiries.
03:18The Ledger Agent now connects the Ledger data with operational and transactional details and presents the relevant information.
03:26The Ledger Agent does not just bring the invoice information, but the full context by surfacing the related purchase information, including the spend approval comments that point to an expansion plan for data centers.
03:38With this context, Alex understands the reason for the spend increase.
03:43At the same time, his attention is drawn to the PO, where there is a significant difference between the invoice and PO amounts.
03:50The summary indicates unfulfilled supply.
03:54Alex continues to investigate using natural language, and Ledger Agent provides the source documents for Alex to review.
04:00With details confirmed and the unfulfilled amount being significant, Alex decides to create an accrual to help the business plan with this increase in mind.
04:10The Ledger Agent presents the preview of the accrual journal, with a reversal date that aligns with the expected shipment.
04:18As the human in the loop, Alex can change any or all of these details.
04:23Once confirmed, the journal gets created and submitted.
04:26In minutes, Alex investigated the variants, reviewed the analysis supported by detailed evidence, and took action in the context of the analysis.
04:36All self-service and just using natural language.
04:39This is how Ledger Agent helps finances' day-to-day experience shift from hunting for information to high-quality continuous visibility.
04:49Now let's look at the third scenario.
04:51Monitoring remaining performance obligation versus forecast.
04:55Alex gets alerted to an acceleration in revenue compared to forecast.
05:00Alex's company has long-term enterprise contracts for providing AI services with remaining performance obligations, or RPOs.
05:09Alex needs to ensure that the revenue is recognized in accordance with accounting standards.
05:14Revenue drawdowns must align with performance obligations.
05:18The Ledger Agent highlights that the revenue indicated by the RPO drawdown was accelerated compared to forecast in September.
05:26While this is good for business, from a revenue-compliance standpoint, Alex must explain the variants.
05:33With a simple question, Alex sees the customer that is responsible for the majority of the variants.
05:38Ledger Agent pulls together data across Fusion applications, leveraging supporting details from Oracle revenue management and subscription modules.
05:46The Ledger Agent helps Alex dive into details that support these findings, highlighting when the sharp increase was observed and bringing forward notes that explain the increased consumption of services.
05:59Ledger Agent presents the information in a format that's intuitive for that style of information that makes it simple for Alex to understand.
06:06Alex's investigation is now complete, but Ledger Agent allows him to be helpful to his colleagues and partner better with the business.
06:13In the past, Alex would send an email to operations or FP&A to investigate.
06:19With Ledger Agent providing details, Alex decides to prepare a short briefing package with all the findings and share the same with his FP&A colleagues.
06:28Alex doesn't need to specify the format or seek specialized help to do so.
06:32Ledger Agent packages all this into a brief that Alex can now share with FP&A.
06:37Instead of them going through the same process to search out the customer and supporting details, they get the full view of Alex's findings.
06:44With Alex's confirmation, the pack is now shared with FP&A to review and act.
06:50This type of investigation used to be time and resource intensive for accounting teams.
06:55Instead, it is accomplished in a matter of minutes using Ledger Agent.
06:58With the seamless experience, sharing insights and analysis summaries can significantly improve collaboration, allowing associated teams like FP&A and Reconciliations to move swiftly with actions.
07:11This demo showed how Ledger Agent can create a monitoring prompt, address hardware and equipment liability variants, and monitor RPO versus forecast.
07:23These are just some of the ways that Ledger Agent helps automate financial monitoring in Oracle Fusion Cloud ERP.
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