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. 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. Leadership Leslie Howatt Leslie is a managing director, and Protiviti’s technology consulting solution and diversity, equity, and inclusion lead. She specialises in digital and technology strategy as well as transformational change with over 25 years’ experience across consulting, industry, and ... Learn More Rupesh Mahto Rupesh is a senior director specialising in strategy, technology assessment and enabled execution, digital transformation, cloud migration, and application of emerging technology to business demands. He successfully leads interactions with CXO, focusing on increasing ... Learn More FLASH REPORT EU Lawmakers Reach Agreement on AI Act, Creating Regulatory Framework Addressing Risks of AI On December 8th, after two and a half years of negotiation, the Council of the EU and the EU Parliament finally reached a provisional agreement on the EU AI Act, which was first proposed by the European Commission in 2021. The agreement creates... 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 realize 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... PODCAST Podcast | The Rise of Generative AI – with Christine Livingston ChatGPT is the talk of the town today. But as we all know, generative AI is much more than this one tool. Gen AI represents a new frontier of promise, productivity and capabilities for organisations around the world. But it also comes with risks that... BLOGS ChatGPT disruption: AI’s evolving vision renews need for trusted, governed data Access to artificial intelligence (AI) and the drive for adoption by organisations is more prevalent now than it’s ever been, yet many companies are struggling with how to manage data and the overall process. As companies open this “pandora’s box” of... Button Button 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. Read more Client story: Apparel company's 'Instagram project' Businesses generate vast amounts of data every single day, mostly so-called dark data or information that go unused. Long before the current pandemic-driven e-commerce boom, a search technology firm estimated that 7.5 septillion gigabytes of data were generated by businesses worldwide each day. Read more 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 Programme (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.