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Accenture: Accentuating digital transformation with cloud-based and AI-driven capabilities to enhance finance processes

Logo of Accenture plc, an SAP customer

Linking IT and business transformation

Global professional services and consulting firm Accenture plc wanted to improve its finance processes—especially order to cash—and simplify its complex IT landscape. Leveraging SAP Signavio solutions, SAP Business Technology Platform, and SAP Business AI has allowed Accenture to significantly advance its cash application auto-clear rate and free up one-fifth of its cash flow.

IndustryRegionCompany Size
Professional servicesDublin, Ireland774,000 employees
20%

of cash flow released.

90%

machine-learning proposal match and predictive-model accuracy scores.

300%

increase in auto-clear rate in cash application.

Our finance and IT organizations worked together to transform our order-to-cash process by reengineering our cash application and treasury functions. To this end, we’re using SAP Signavio solutions, SAP Business Technology Platform, and SAP Business AI as well as several other solutions to deliver cloud-based and AI-enabled capabilities.
Rachael Byrd
Global Process Lead, Finance Strategy and Enablement, Managing Director, Accenture plc

Simplifying finance processes and supporting human potential

Accenture plc is a well-known Fortune Global 500 company offering diverse professional services to more than 9,000 customers across 120 countries. With US$65 billion in annual revenue and 850-plus company codes across 59 locations, it had to manage finance processes across large-scale operations in multiple legal entities and geographies.

 

The consultancy was issuing roughly 990,000 client invoices each year, and a substantial number of these payments were late. Globally, it was closing its books in five days (with preclose available in two days), but there was pressure to accelerate the close cycle to three days. Month-end was often challenging due to missing customer information and different reporting numbers. Its invoice-to-cash process had more than 1,000 variants, with almost 11% variance in the timing between a debit memo and invoice creation, which could take from one to six days. Furthermore, its auto-clear rate ranged from 0% in Brazil to around 25% in the Nordic countries, and it became difficult to keep up with its rules-based configuration as the organization continued to grow.

 

Accenture’s complex IT landscape comprised more than 150 direct integrations with SAP software systems and 350 downstream applications. It was using manual, siloed processes that led to inefficiencies, and its visibility into these inefficiencies and into optimization opportunities was limited.

 

The company’s finance function focuses on driving value across the organization, from its foundational operational teams to its high-impact strategic support groups. To elevate performance in achieving stronger business outcomes, it wanted to unleash human potential by combining digital tools and data with human insight. To this end, it sought to simplify and standardize its processes globally to create a more agile, consistent, and scalable finance function.

Process documentation has been a critical enabler to drive consistency, transparency, and improvements across our organization. But we didn’t want to just document process steps—we wanted to map how we truly work end-to-end across our finance functions, systems, and individual geographies.
Rachael Byrd
Global Process Lead, Finance Strategy and Enablement, Managing Director, Accenture plc

Using cloud-based and AI-enabled software to transform processes

Building on a 20-year relationship with SAP, Accenture implemented a single global instance of SAP S/4HANA to harmonize its processes. Meanwhile, the company is embarking on the RISE with SAP journey to migrate to an SAP Cloud ERP solution in line with its cloud transformation. It selected SAP Signavio solutions to enable process intelligence and governance by mapping and benchmarking its extensive processes. This gave Accenture context to understand its processes and compare them to standards supported by SAP solutions. The consultancy created global process owners, known as finance process architecture teams, as dedicated resources with finance expertise and technical aptitude to support the project.

 

Accenture has adopted several solutions on SAP Business Technology Platform (SAP BTP) and in SAP Business AI to deliver AI-enabled capabilities, such as integrating AI and machine learning to automate its workflows. This included SAP Cash Application software, which allows the business to automate clearing globally and provide intelligent machine learning–generated proposals. In treasury forecasting, the company created an “intelligent cash” tool using predictive analytics for cash flow management and real-time recommendations based on historical and market data, which enables just-in-time cash decisions. And with preclose variance analysis, it gains AI-driven commentary on financial variances, enhancing controller productivity and supporting a faster and more-focused financial close.

By using SAP Signavio, not only were we able to draw a baseline to benchmark ourselves against our global golden standard, but we also could identify where we deviated from using standard processes supported by SAP solutions.
Michalene Schechter
Digital Platform Architect Director, Accenture plc

Streamlining finance to improve the payment cycle and cash flow

Starting with order to cash, Accenture is using SAP Signavio to redefine its processes and connect them to SAP S/4HANA. Accenture was able to remove one-fifth of its custom code and create more than 250 comprehensive finance workflows in six months. This has helped it reduce late payments and manual-invoicing delays while tripling its auto-clear rate in cash application. Generating machine-learning proposals produced a 90% match confidence score and transformed cash application into a one-click process for the company’s specialists (in accepting or rejecting the proposals). They found that using incorrect proposals was still more efficient than using a manual application, and this improved with subsequent model retraining.

 

By taking a just-in-time approach to cash flow, similar to a manufacturing company with inventory, the consultancy has achieved 90% predictive-model accuracy. This has freed up one-fifth of its cash flow. Adding an AI component to its preclose variance tool has allowed Accenture to generate more than 95% of commentary automatically. Using these AI-generated insights enables controllers to access preclose data on day plus two, saving time in the close cycle. Controllers are empowered to shift their focus from producing reports and documentation to performing high-value activities such as planning, analysis, and advising. And there are now automated process reviews every six months.

By establishing our processes in SAP Signavio and connecting them to our SAP software environment, we can use a live tool that provides long-term benefits. As our data and business grow, we can identify other opportunities in real time.
Rachael Byrd
Global Process Lead, Finance Strategy and Enablement, Managing Director, Accenture plc

Want to know more about Accenture?

  • Accenture: Bringing AI to the Business with Flexibility and Scale in the Cloud (SAP Customer Story)

  • Accenture: Simplifying Financial Complexity with Generative AI (SAP Customer Story)

  • Reimagining Finance Transformation: Accenture’s Journey with SAP Signavio (On-Demand Webcast)

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