Artificial Intelligence Services Unlock business insights through evidence-based analytics Artificial Intelligence (AI) is changing the way we do business. Across all industries, from technology to healthcare, financial services and consumer products, organisations are adopting AI, intelligent automation and advanced analytics to improve processes, drive new business opportunities and increase competitive advantage. We partner with organisations to solve business challenges with cutting-edge Artificial Intelligence services that improve speed, enhance precision, and optimise customer experiences. As companies progress on the journey toward digital transformation, AI is a key element that promises to deliver critical insights leading to accelerated innovation and success while protecting critical business assets. Whitepaper April 2, 2024 Enabling Enterprise AI Adoption Through Next-Generation Governance Artificial intelligence (AI) has become increasingly important in the enterprise, thanks in part to the rise of generative AI (GenAI). While not a new technology or concept, AI (including machine learning) holds tremendous promise to transform various business functions and activities worldwide — from accounting and finance to cybersecurity, customer experience and... Read More Our AI solutions and capabilities Pro Briefcase Improve Operational Efficiency Through automating repetitive processes such as invoice processing, contract review, document digitalisation, our services improve efficiency, speed and reliability while enabling employees to focus on higher value activities. Pro Building office Better Decision Making Whether fraud detection, predictive maintenance, forecasting and more our solutions leverage machine learning capabilities to unlock complex data insights that enable faster, more informed decision-making reducing downtime and improving profitability. Pro Screen System Integration Enhance Customer Experience Understanding customer feedback and sentiment towards your products and services is key to satisfactory customer experience. We leverage deep learning to understand the context of customer review, classify customer issues and offer channels to address customer need. Pro Document Consent Empower Employees Identifying the right talent for the right roles and upskilling your existing labor force are the key to success in today’s market. We use machine learning to match candidates to upskill on high demand skills that enable employees to excel in more rewarding roles. Pro Document Stack Managing Risk and Compliance For Anti-Money Laundering (“AML”) or other compliance requirements our services identify employee misconduct and policy violations such as deviations from business conduct guidelines to ensure companies are proactively managing emerging risks. Pro Rightmark Square Managing Third Party Risk Leverage Natural Language Processing to analyse and calculate third party inherent risks and other key factors for consideration. We automate questionnaire triage, scoring and report generation enabling you to manage risk with fewer resources and in a timelier manner. Pro Location Globe Solving New Business Problems Emerging business problems are often hard to manage. Our Machine Learning and AI services team works with business domain experts to create custom solutions – helping you understand new challenges and offer data driven insights to solve new business problems. BLOG Design Thinking for Technology Modernization: Driving Value, Reducing Technology Debt In the consumer products and retail sectors, the burdens of legacy systems and manual processes pose significant challenges for organizations across the value chain from store or online purchases to overall operations. Disconnected applications,... PODCAST Podcast | AI Meets Quantum in the Real World – with SandboxAQ There’s been much speculation about how fault-tolerant quantum computing might accelerate the power of artificial intelligence in the future. But what if those technologies switched roles? AI is already improving certain aspects of current quantum... PODCAST Podcast | ESG and AI – with Alyse Mauro Mason, Christine Livingston and Mark Carson Artificial intelligence, including but not limited to generative AI, has taken the world by storm over the past year, with organisations worldwide scrambling to identify where and how it can be used to strengthen their businesses and grow competitive... WHITEPAPER Success With Generative AI Requires Balancing Risk With Reward When ChatGPT launched in November 2022, it took just two months to garner a record 100 million users and capture broad market attention. Business leaders are eager to realise the enormous potential that ChatGPT as well as other generative AI models... NEWSLETTER The Director’s Playbook for Generative AI The big picture: So much has been written about generative AI (GenAI), it seems like a constant buzz inspiring both wonder and fear. But the value proposition is alluring. After witnessing OpenAI’s ChatGPT in action, Bill Gates said, “I knew I had... BLOG Strengthening Security Against AI-Powered Attacks Generative AI (GenAI) technologies, such as ChatGPT, have demonstrated substantial advantages across multiple industries, including the field of cybersecurity. These AI models are becoming integral to all phases of the cyberattack process, ranging... BLOG Building a Business Case for Copilot for Microsoft 365 – A Game-Changer for Business Efficiency With the rapid rise in artificial intelligence (AI) tools, companies are updating technologies and processes as quickly as budgets allow. Industries are transforming rapidly as the drivers for economic growth are evolving. AI is fueling innovation... Button Button User-Centric Design, Accelerated by AI, Unlocks Digital Experience for Women’s Bond Club Protiviti collaborated with WBC members and non-members to collect feedback, design, and develop a user-friendly, intuitive site. We assisted in the modernisation of the site’s utility and architecture to enhance engagement. Leveraging existing... Intelligent Document Retrieval System, Powered by Responsible AI, Helps Reduce Air Pollution This company is a leader in the supply of after-sale services to the world’s engine and compressor markets and is trusted by nuclear power plants, the U.S. military and both public and private electricity generators around the globe. With the EPA’s... Hospitality Company Builds Foundation for Pursuing Responsible AI, Mitigating Risk with Comprehensive Standards and Enhanced Controls Experience the transformative potential of responsible AI. Our tailored governance framework ensures ethical use and compliance, guiding your AI journey. Manufacturer Optimises Supply Chain Analytics With Azure Machine Learning Global Manufacturer optimises supply chain analytics with Microsoft Azure Machine Learning significantly improving its ability to adapt to rapid changes in both processes and cost analyses. Florida-Based Bank Optimises Customer Relationship Value Through Innovative Data Approach This Florida-based organisation has grown from a small community back to one of the state’s largest financial institutions. Over time, the bank built its reputation by maintaining the personalised service of a community bank while investing in the... Client story: Apparel company's 'Instagram project' Apparel company enhances key processes, customer experience using insights from shoppers’ digital sentimentsBusinesses generate vast amounts of data every single day, mostly so-called dark data or information that go unused. Long before the current... Button Button Case Studies Case Study 1 The client needed to improve their invoice and remittance process. Each month, they received and processed approximately 4000 supplier invoices, each with a unique format, design and data structure. Each invoice was reviewed, and the required accounts payable information was manually keyed into the procurement system. This process required considerable resources, which affected their ability to meet remittance and payment timelines. The client sought a cost-efficient, automated solution that would allow them to increase efficiency and scale as the number of vendors changed. Implementing Protiviti’s automated invoice processing solution in the cloud, leveraging machine learning and RPA which incorporated structured data output, the client reduced manual and time-consuming effort by 50% and enhanced the overall vendor relationship by providing a faster and more accurate remittance process. Case Study 2 A luxury sport apparel company needed an automated solution to quantify and classify their customer feedback that would enable the company to create an actionable strategy and improve their customer service experience. Protiviti successfully conducted quantitative and qualitative analysis to define the root cause and key areas of improvement for customer experience and business operations including: Protiviti’s Artificial Intelligence algorithm to classify text into defined categories and Natural Language Processing derived text analytics to further understand structure, sentiment, and intent. Case Study 3 As part of the COVID-19 stimulus package, substantial funding was provided to the SBA for the Paycheck Protection Program (PPP). The application window was tight with an extremely high volume of applications needing to be entered and processed. Each application required over 50 data entry points and a single error could cause the entire application to fail, resulting in an applicant needing to start over. The client desired an automated solution to quickly enter in the loan application data and reduce errors. In two days, Protiviti's team designed and delivered an automated processing solution that ingested the customer loan application, extracted line items and key information, then entered this information into the SBA website. Utilising an attended UI Path Bot, the client significantly scaled the application entry process, increasing the volume of applications which could be processed with higher accuracy and reduced portal time. Case Study 4 A leading courier delivery services company, managing nearly 8,000 packages per day, was experiencing delays and errors in their processing centers. Challenges included special handling requirements for oversized packages and cardboard material packages to be identified and set aside through human intervention. This manual process was error prone, often resulting in the unnecessary stoppage of conveyor belts – disrupting processing and lowering efficiency. Utilising deep learning and image recognition for the conveyor belt video feed, Protiviti developed two proprietary detection algorithms to quickly and accurately identify oversized packages and recognise cardboard material. These solutions were designed to be hosted in the cloud environment, enabling scalability for peak seasonal demand. Leadership Scott Laliberte Scott is the Global Leader of Protiviti’s Emerging Technology Group. Scott and his team enable clients to leverage emerging technologies and methodologies to innovate, while helping organisations transform and succeed by focusing on business value and managing risk. His ... Learn More Arun Tripathi Learn More