Download the Whitepaper Here

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Inflation. Rising costs. Supply chain disruption. Material scarcity. Labor shortages.

It seems like everywhere they turn, food and beverage businesses are facing significant impediments to profitability and, in many cases, operational continuity. When being able to run your production lines and staff your factory floor aren’t givens, it can be difficult to even
imagine pursuing growth as an organization.

That said, there are certainly companies doing that today—though some are more successful than others. What’s the secret ingredient for boosting your bottom line and thriving despite
challenging conditions? Turns out, the answer is as logical as it is transformational, and that’s automation.

Our recent study conducted in conjunction with B2B International revealed that, across both North America and Europe, food and beverage businesses automating their processes experienced higher revenue and profit in the past 12 months, and they expect further
increases in those metrics in the coming year.

To dive deep on this subject, the impetuses for automation, what it looks like in practice today and what it might look like in the future with the technology of tomorrow, we turned to some of our internal subject matter experts. We’ve got their full roundtable here for you
to take in, but first we should clarify just what automation is and all it entails in the food and beverage industry.

Speaking with our experts, it became clear that automation is much more than machine arms completing repetitive manual tasks on a production line. Automation also includes digital processes that record, share and/or analyze data on their own, without the need for
human intervention, when they would otherwise require a human to process them.

Now, with that established, let’s jump into the discussion so you can hear it from those who know it best thanks to their decades of experience in the food and beverage industry, working with organizations of all sizes around the world and the technology that enables greater operational efficiency and better decision-making.

Download the eBook Here

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Finance departments have historically been burdened with a multitude of manual tasks, ranging from data entry and invoice processing to account reconciliation and report generation. While these processes may have been manageable in simpler times, the increasing complexity of business operations and the sheer volume of financial data have exposed their significant limitations.

Manual processes are inherently time-consuming, diverting valuable resources and personnel away from more strategic activities. They also require human intervention, which inevitably leads to errors and oversights, potentially resulting in financial misstatements and compliance issues. Manual processes require significant manpower, often straining finance teams that are under pressure to accomplish more work without increased staffing.

Drawn-out manual processes can leave organisations in the dark, hindering access to timely and accurate financial information vital for informed decision-making. Additionally, Manual processes struggle to scale with business growth and increasing data volumes, creating bottlenecks and inefficiencies.

Manual processes also introduce the potential for errors in financial reporting workflows, which increases the risk of non-compliance and financial penalties. These inherent drawbacks underscore the urgent need for a paradigm shift in how finance processes are executed. Automation and hyperautomation offer a compelling solution by addressing these limitations head-on and ushering in an era of enhanced efficiency, accuracy, and strategic focus.

The Transformative Power of Automation in Finance

Implementing automation across various finance functions yields a multitude of benefits, streamlining operations and improving overall financial management:

• Streamlined Accounts Payable (AP) Processes: Automation can significantly improve AP workflows by automating tasks such as invoice receipt, data capture, routing for approvals, and payment processing. This reduces manual data entry, minimises errors, accelerates processing cycles, and improves vendor relationships.
• Enhanced Accounts Receivable (AR) Management: Automation in AR can streamline collections processes through automated outreach to clients, reminders for upcoming payments, and management of payment delays. Hyperautomation further enhances this by using AI to proactively identify customers likely to be late and recommending incentives to encourage timely payments.
• Accelerated Financial Close: Automating daily matching and reconciliations is crucial for an efficient and accurate financial close process. Manual processes are time-consuming and error-prone, but automation ensures real-time data validation, faster error detection, and seamless integration across financial systems, allowing finance teams to close their books faster. Solutions like SAP Advanced Financial Closing and platforms from third-party vendors automate balance sheet reconciliations, transaction matching, and journal entries.
• Improved Efficiency and Productivity: By automating repetitive and mundane tasks such as data entry, reconciliations, and report generation, automation frees up finance professionals to focus on more strategic activities and decision-making, leading to higher productivity and better resource allocation.
• Enhanced Accuracy and Reduced Errors: Automation minimises human intervention in critical processes, thereby significantly reducing the likelihood of errors and ensuring greater accuracy in financial data. This leads to more reliable financial reporting and better-informed business decisions.
• Better Compliance and Audit Readiness: Automated reconciliations and reporting improve audit readiness, regulatory compliance, and financial transparency by eliminating bottlenecks and inconsistencies.

The Evolution from Automation to Hyperautomation

Automation, in its essence, involves the use of technology to perform tasks with reduced human intervention. This has been a pursuit for decades, with organisations seeking efficiencies and cost savings by automating mundane and repetitive activities through various tools and techniques. However, the current decade has ushered in a new paradigm with the integration of artificial intelligence (AI) and machine learning (ML) into automation frameworks. This synergistic combination has led to the advent of hyperautomation, which is the merger of tools like AI, ML, robotic process automation (RPA), with the goal of pushing automation even further.

Hyperautomation represents a significant leap beyond basic automation. It encompasses a more sophisticated framework that includes discovery and analysis of processes, language-centric process construction leveraging Natural Language Processing (NLP), and continuous measurement, monitoring, and refinement of business processes. This underscores the understanding that in today’s intricate business environment, achieving true operational excellence requires a holistic and intelligent approach to automation, moving beyond simple task execution to encompass contextual decision-making and augmentation of human capabilities.

The Advanced Capabilities of Hyperautomation in Finance

Building upon the foundation of automation, hyperautomation leverages the power of AI, ML, and other advanced technologies to address more complex and nuanced aspects of finance processes.

• AI-Driven Decision Making: Hyperautomation aims for increasingly AI-driven decision-making, enabling systems to handle processes that require contextual understanding and judgment. For instance, in collections, NLP can be used to interpret client requests for payment extensions and AI can provide contextual decisions on approvals.
• Predictive Analytics and Forecasting: ML algorithms can analyse vast amounts of financial data to identify trends, patterns, and anomalies, leading to more accurate financial forecasts and enabling data-driven decision-making. AI can proactively inform collections agents about customers likely to be late, allowing for preemptive action.
• Natural Language Processing (NLP) for Enhanced Communication: NLP can streamline communication-intensive processes within finance, such as initiating outreach to clients, intercepting requests, and providing contextual responses. This can significantly improve efficiency and the quality of interactions.
• Process Discovery and Optimisation: Hyperautomation involves the discovery and analysis of existing processes to identify areas for automation and improvement. This enables organisations to optimise their workflows intelligently, rather than simply automating inefficient processes.
• Intelligent Automation of Complex Tasks: Hyperautomation can tackle more complex tasks that require a combination of different technologies and intelligent decision-making, such as handling exceptions in invoice processing or managing intricate reconciliation scenarios.
• AI-Driven Fraud Detection and Prevention: Advanced analytics and AI algorithms can identify and prevent fraudulent activities by detecting unusual patterns and transactions in financial data, providing a proactive approach to safeguarding organisational assets.

Specific Applications of Automation and Hyperautomation in Finance

There are several essential finance workflows that are beginning to be transformed by automation and hyperautomation:

• AR/Collections: Hyperautomation technologies can dramatically improve the collections process by predicting late payments, providing recommendation analytics for incentives, and using NLP for streamlined communication and contextual decision-making.
• Financial Close: Automation is crucial for reducing the time and errors associated with the financial close process, with solutions automating reconciliations, transaction matching, and other key activities.
• Tax Compliance: Automation can streamline payroll tax calculations, provide real-time regulatory updates, and reduce the administrative burden of managing complex tax requirements across multiple jurisdictions.
• Procure-to-Pay (P2P): While traditionally focused on invoice automation, solutions are expanding to incorporate other aspects of the P2P process, such as processing order confirmations and delivery notes, enhancing efficiency across the entire cycle.

Navigating the Adoption of Automation and Hyperautomation

While the benefits of automation and hyperautomation are compelling, successful adoption requires careful consideration of several key factors. First and foremost, high-quality, cleansed, and harmonised data is the bedrock of effective AI and ML-driven automation. Organisations must ensure their data management practices support the accuracy of automated processes and the insights generated.

Companies should identify specific areas where automation and AI can have the most significant impact, particularly focusing on repetitive, mundane, or data-intensive tasks and processes where forecasting and planning insights are needed.

Investing in training and upskilling the workforce is crucial to ensure employees can effectively utilise AI-powered tools and adapt to evolving roles. Automation is not intended to replace humans entirely, but rather to augment their capabilities and allow them to focus on higher-value activities. AI and automation solutions require constant feeding, monitoring, and optimisation to maintain their effectiveness and adapt to changing business needs.

Looking Ahead: The Future of Finance with Intelligent Automation

The landscape of finance is continuously evolving, with AI and automation remaining at the forefront of technological advancements. Emerging technologies like agentic AI and advancements in large language models hold the potential to further transform finance processes, enabling even more sophisticated levels of automation and intelligent decision-making.

While the specific trajectory of these technologies remains to be fully seen, the fundamental importance of automation and hyperautomation in driving efficiency, accuracy, and strategic value in finance is undeniable. Organisations that proactively embrace these transformative tools will be better positioned to navigate the complexities of the modern business environment and achieve sustainable success.

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Aico is teaming up with ERP Today to explore how automation can transform financial close processes in SAP environments. 

Enterprises today are looking to boost the productivity and speed of their financial close using automation, allowing them to accomplish more with fewer resources during the closing period. Achieving these goals can be complex within SAP environments, where a combination of manual tasks and system-run programs must be executed to successfully complete the process. This includes period handling, carrying forward balances, running distribution cycles, foreign currency revaluation, and depreciation programs—each requiring precise execution and monitoring within tight deadlines.

This webinar shows how automation can eliminate inefficiencies in financial close, particularly in SAP environments where a mix of manual tasks and system-run programs create complexity. Explore how to standardize and optimize enterprise closing processes, ensuring accuracy, transparency, and control.

Watch this webinar to:

• Learn how to identify areas of weakness in current financial close processes.
• Understand how Aico’s live integration to SAP and other data sources improves efficiency.
• Explore options for monitoring and optimising performance during period end close.
• Ensure closing activities align with corporate governance requirements and internal controls.

Don’t miss this opportunity to gain expert insights into transforming your financial close process.

Sponsored by:

Speakers

Clive is the Aico product owner, and he has been with Aico since the beginning. He was instrumental in Aico’s inception. He is responsible for the functional design of the Aico platform delivering our solutions including Account Reconciliation, Close Task Management, Journal Entry and Intercompany Invoicing. He remains active in customer projects and pre-sales supporting both sales and delivery where needed. 

Colin Hand
Project Implementation Leader, AkzoNobel

Colin Hand is a seasoned finance and project management professional with 40+ years of experience in accounting. Having spent 12 years in Project Management at AkzoNobel, including the past four years as an Aico Manager, Colin brings extensive expertise in financial processes and ERP systems.

Originally from England, he has lived in the Netherlands for 25 years. A passionate Aston Villa supporter, he firmly believes they are the next Champions League winners. When he’s not optimizing financial close processes, you might find him adding to his extensive necktie collection (200+) or spending time with his three children.

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As Marc Jeschonneck, global assurance digital leader at EY, puts it, “The rapidly changing ecosystem – from geopolitical risks to transforming business models – is at the heart of what auditors face today”. This influences auditors’ move to adapt to environments shaped by volatile global events and swift business transformations. Identifying and addressing key risks in the field is becoming crucial, as is aligning auditing practices with new business models.

Adding to this complexity are changing expectations from clients and professionals alike. Jeschonneck emphasizes the dual pressures: “Clients expect auditors to not only reduce the burden of routine tasks but also steer them through transformations.” Similarly, younger professionals, particularly Gen Z, demand a modernized approach that leverages advanced tools and aligns with their digital-first mindset.

Technology as a catalyst

The adoption of advanced technologies in auditing is progressively transforming the way auditors operate. As noted by Paul Goodhew, global assurance innovation and emerging technology leader at EY, his organization is currently “undergoing a $1bn transformation in technology for our people and clients”. Technologies like AI, blockchain and advanced data analytics are reshaping the profession, enabling auditors to better understand client risks, optimize processes and provide insights with unprecedented speed and accuracy.

Unsurprisingly, generative AI has emerged as a key priority in the field as Jeschonneck explains, “While many clients are still at the early stages of adopting AI, its potential in forecasting, transaction matching and document intelligence is undeniable”. For auditors, AI presents an opportunity to enhance the accuracy of financial reporting and streamline processes, freeing up professionals to focus on higher-value tasks.

Another technology once seen as a disruptor, blockchain, has now found its niche in auditing digital assets. “We need to understand and audit digital assets as part of our procedures,” says Goodhew, with EY’s blockchain analyzer becoming an example of how auditors are leveraging technology to manage emerging risks and opportunities.

Risks in emerging technologies

While advanced technologies offer various new opportunities, they also bring risks that auditors must stay alert for. From cybersecurity threats to AI-generated errors, the stakes are high. Discussing this, Goodhew highlights the importance of governance frameworks, noting, “AI’s risks – such as explainability, hallucinations and regulatory compliance – must be managed carefully”.

In a bid to address these challenges, EY has developed the Assurance AI Framework, which incorporates principles of responsible AI to guide auditors in identifying and mitigating risks. As Jeschonneck points out, “We spotted the need for auditors to have a pragmatic yet comprehensive framework to address emerging risks”.

Moreover, auditors must keep pace with global regulatory requirements, such as the EU AI Act, which demands robust compliance measures. By integrating technology risk management into their workflows, auditors can proactively address potential vulnerabilities while maintaining trust with clients and stakeholders.

Tools and training for the future

Technology integration in auditing is supported by robust tools and training programs. For example, EY’s Canvas and Helix platforms provide auditors with advanced workflows and data analytics capabilities. Goodhew shares an example: “Canvas AI compares risks across engagements and uses external data to recommend adjustments to audit strategies.” Such tools empower auditors to make data-driven decisions, enhancing efficiency and accuracy.

To prepare auditors for emerging technologies, EY involves professionals in the development and testing of new tools. “We’ve engaged 10,000 auditors in testing technology,” says Jeschonneck. Programs like digital badges and specialized networks further equip auditors with the skills they need to thrive in a tech-driven environment.

Another standout initiative is EYQ Assurance Knowledge, a generative AI-powered tool that integrates with EY’s knowledge base, which Goodhew explains “enables auditors to quickly access relevant methodology and standards, saving time and ensuring accuracy”.

Balancing opportunities and risks

The integration of advanced technologies into auditing is both a challenge and an opportunity. Cybersecurity, sustainability and cost optimization are key considerations as auditors navigate this new landscape. For this reason, Jeschonneck cautions that “Technology brings opportunities to optimize processes and meet client demands, but it also requires us to deeply understand and address emerging risks”.

For auditors, the future may lie in embracing these advancements while maintaining the principles of governance, risk management and security. By leveraging technology responsibly, auditors can not only meet the evolving needs of their clients but also contribute to a more resilient and transparent financial ecosystem.

Advanced technologies are transforming auditing, offering tools to address complex challenges and unlock new opportunities. With robust frameworks, continuous learning and a commitment to innovation, auditors are well-equipped to navigate the ever-changing landscape and build a sustainable future for the profession.

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The collaboration enables Arribatec to expand its portfolio, offering customers new solutions to streamline operations and optimize workflows.

Arribatec, headquartered in Oslo, Norway, operates in 17 offices worldwide, providing digital solutions, consulting and infrastructure to over 1,700 private and public enterprises across 30 countries. Specializing in industries where human capital drives business, Arribatec has become one of the fastest-growing IT providers in the Nordics.

“Our partnership with Creatio marks an important milestone for Arribatec, as it allows us to enhance our portfolio with a best-in-class CRM and workflow automation platform,” says Tom Vandezande, VP of business services at Arribatec.

“By adding Creatio’s innovative no-code solutions, we’re empowering our customers with tools to streamline their operations and accelerate growth, reinforcing our commitment to delivering comprehensive and cutting-edge business solutions.”

Creatio offers users a no-code platform powered by AI to automate workflows and CRM functions. The platform enables organizations to digitize operations, improve customer and employee experiences and enhance team efficiency.

Alex Donchuk, SVP of global channels at Creatio, said: “Creatio and Arribatec share a commitment to delivering cutting-edge solutions that empower businesses. With this partnership, we are making it even easier for more organizations worldwide to streamline operations and enhance customer experiences with AI-driven no-code automation.” 

What it means for ERP insiders

Revolutionizing workflows for CRM and automation professionals: For CRM managers, operations leads and IT administrators, the partnership between Creatio and Arribatec is poised to transform daily workflows. The integration of Creatio’s AI-powered no-code platform into Arribatec’s solutions portfolio offers tools designed to streamline operations, automate complex workflows and enhance customer experiences. Whether you manage large-scale client databases or oversee critical process automation, these solutions provide agility and ease of use, enabling more focus on strategy and less on manual tasks. This partnership highlights the commitment to equipping professionals with technologies tailored to the evolving demands of modern businesses.

Growing market for AI-driven no-code solutions: The global market for no-code and low-code platforms is booming, projected to exceed $26bn by 2027, driven by an annual growth rate of over 25 percent. Businesses across industries are increasingly adopting these platforms to meet the rising demand for faster digital transformation and more agile development processes. Creatio’s leadership in AI-driven automation aligns with this trend, positioning it alongside competitors such as Appian, Salesforce and OutSystems – all striving to redefine workflow automation. Arribatec, with its extensive global footprint and sector expertise, brings Creatio’s solutions to a broader audience, making this partnership a strategic move in a fast-expanding market where innovation is key to staying competitive.

Evaluating Providers: When choosing technology providers for CRM and workflow automation, end-users should prioritize platforms that offer scalability, ease of integration and robust security. AI-driven capabilities and no-code functionality are critical for enabling non-technical users to contribute to process optimization. Beyond the technology, a provider’s ability to deliver localized support, strong global partnerships, and a proven track record in the industry should weigh heavily in decision-making process. Creatio and Arribatec stand out for their combined focus on innovation and client success, making this collaboration a model for businesses seeking comprehensive, future-ready solutions.

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By combining Automation Anywhere’s expertise in AI-powered technology with PwC India’s industry knowledge and consulting capabilities, the collaboration aims to enhance productivity, optimize costs and boost business growth. 

The partnership is also targeting greater value for users by enabling them to optimize costs, improve process efficiency and deliver enhanced customer experience, ultimately achieving their larger business goals in the competitive landscape.    

The duo will focus on delivering GenAI-based automation tools designed to help enterprises adapt to the fast-changing business landscape and meet their strategic goals.

Vivek Belgavi, partner and leader of alliances and ecosystems at PwC India, highlighted the firm’s commitment to transformative solutions. “Through this collaboration with Automation Anywhere, we’re set to deliver unparalleled expertise in driving enterprise-wide process transformation, fostering greater efficiencies and strategic impact for our clients.”

Ankur Kothari, COO at Automation Anywhere, echoed this enthusiasm, noting that the collaboration will provide significant value. “Our collaboration with PwC India exemplifies our commitment to harnessing the power of disruptive technology like AI to transform businesses, streamline operations and empower organizations to transform their business and gain a competitive advantage.”

Sumit Srivastav, partner and leader of intelligent automation at PwC India, emphasized the partnership’s goal of enhancing customer experiences and operational efficiency. “Our aim is to create greater value for clients by enabling them to optimize costs, improve process efficiency and deliver enhanced customer experience.” 

In September this year, Automation Anywhere surpassed its second-quarter goals attributing it to accelerating momentum amid the successful autonomous AI Agent launch and early customer wins. This marked its fourth consecutive quarter of non-GAAP operating income and improving margins. 

The company also saw a surge in customer demand for autonomous AI agents, as leaders across industries are warming up to their potential and expanding opportunities.

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Taking agentic cognition forward into the next era of AI is UiPath – a company that has been working to deliver Robitic Process Automation (RPA) technologies into the automation acceleration market rather longer than most vendors now caught up in the “we need an AI transformation message” hype-cycle that proliferates.

Banco Azteca

The company used its UiPath Forwards + TechEd 2024 convention this week in Las Vegas to announce news of Banco Azteca (your favorite Mexican financial institution, right?) now transforming its operations and achieving efficiency gains with the strategic implementation of AI and automation from UiPath.

Banco Azteca is one of Mexico’s largest financial institutions and a subsidiary of Grupo Salinas, which offers a range of financial services, including savings accounts, loans, credit cards, insurance and investment options. 

With a network across Mexico and Central America, Banco Azteca serves millions of customers, focusing on financial inclusion and empowering individuals and small businesses. The company’s AI and automation initiative is revolutionizing business operations by transitioning from labor intensive, error-prone manual processes to streamlined, automated workflows.

“The transformation that we have achieved using the UiPath Platform fortifies our competitive edge and underscores our commitment to innovation, setting a new standard for excellence in the financial sector,” said Kathia Barrios, director of transformation operations at Banco Azteca. “We have completely overhauled batch processing, which took many hours to complete, created drastic improvements in processing high quantities of claims and realized significant operational efficiencies. Our transformation is enhancing customer experiences and employee satisfaction.”

New automation generation

Banco Azteca incorporated AI and ML to tackle more complex tasks and make smarter decisions. Initially, Banco Azteca built 15 automations to establish the foundation of its digital transformation, but quickly realized the full potential of the UiPath Platform within its Center of Excellence and developed more automations to significantly improve customer service. The company now has 190 automations designed to optimize diverse processes. For example, 56% of banking transaction clarifications are now resolved in under 24 hours and response times decreased from an average of 13 to 1 day. Business outcomes include enhanced service delivery, heightened productivity and increased shareholder value.

“AI and automation are revolutionizing the way we work by empowering businesses to unleash innovation and tackle some of their most time-consuming challenges to help people spend time on more meaningful work,” said Brandon Deer, go-to-market chief operations officer and chief strategy officer at UiPath.

Deer says that the results that Banco Azteca has achieved are inspirational not only within the financial services sector, but to any business that is seeking to modernize for the digital age with AI and automation.

“This kind of success in operations and productivity is immediately beneficial to customers, partners and employees, all while maintaining security and compliance with strict banking regulations,” he added.

UiPath Insights

UiPath Insights, which provides visibility into process performance and outcomes, is a pillar of Banco Azteca’s success. This, coupled with UiPath Automation Hub, enables the company to identify and prioritize high-impact automation opportunities. 

“We are actually very conscious of who we are doing this: for our children, for every Mexican family that places their trust in us and for every member of our team. We love our work and the impact on millions of customers,” said Manuel Delgado, COO of Banco Azteca. “We are helping Mexico by having the mindset that customer service should be exceptional. We empower our customers and we are also developing and training our team members to leave a much better Mexico for our children. That is why we are working so hard!”

Additionally, the UiPath Action Center helps Banco Azteca streamline validation processes, offering a user-friendly interface that accelerates decision-making. The company is also harnessing the power of UiPath Document Understanding to intelligently extract information from structured and unstructured documents, ensuring compliance with stringent banking regulations. For instance, Document Understanding has been instrumental in validating identification documents, a critical requirement for Mexican and international banking standards.

Banco Azteca was also recently honored as a winner of the UiPath AI25 Awards, which recognize companies that are using AI and automation from UiPath to enhance productivity, transform experiences, create substantial ROI and deliver exceptional business results.

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According to the two vendors, this partnership will help users experience “enterprise-wide transformation through a holistic view of automation across heterogeneous environments that span both SAP and non-SAP systems”. 

The announcement promises that with UiPath’s integration into SAP Build Process Automation, SAP customers will be able to accelerate business transformation, migrate critical business systems to the cloud and streamline business processes that traverse enterprise systems and applications. 

Additionally, customers will benefit from the automation of end-to-end processes through iPaaS, process mining and RPA within SAP’s portfolio of enterprise automation solutions, as well as simplified and accelerated migration to SAP S/4HANA cloud and enhanced rapid and sustained innovation with industry-compliant best practices across SAP and other applications.

“Customers are keen on a holistic approach to automating end-to-end processes that accelerate their business. […] As an SAP solution extension, we can provide customers with the critical ability to scale and deploy enterprise automation across their entire organization,” said Michael Ameling, executive vice president and chief product officer of SAP Business Technology Platform at SAP.

Graham Sheldon, chief product officer at UiPath, also commented on the announcement: “UiPath has worked closely with SAP to create one of the most comprehensive, integrated automation offerings in the market. This helps SAP users automate business processes across their entire enterprise and drive the rapid deployment of AI. 

“By offering the UiPath Business Automation Platform within the SAP Build Process Automation solution, customers can achieve more impactful business outcomes, accelerate transformation and gain added trust and compliance within their automation programs.”

Among other news featuring UiPath’s commitment to enhance its automation capabilities, the vendor has this year announced new features, including the release of UiPath Autopilot which infuses GenAI into the UiPath Business Automation Platform to help businesses achieve better automation outcomes. 

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