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, organizations are adopting AI, intelligent automation and advanced analytics to improve processes, drive new business opportunities and increase competitive advantage. We partner with organizations to solve business challenges with cutting-edge Artificial Intelligence services that improve speed, enhance precision, and optimize 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 digitalization, 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 analyze 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 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 organizations transform and succeed by focusing on business value and managing risk. His ... Learn More Lucas Lau Lucas is a Senior Director in Protiviti’s Machine Learning & A.I. practice within the Data Management and Advanced Analytics solution. He has 14+ years of experience in leading machine learning and artificial intelligence teams and projects in insurance, healthcare ... Learn More Christine Livingston Christine is a Managing Director and leader of our Artificial Intelligence and Internet of Things practices, and is responsible for technology innovation initiatives. She focuses on identifying emerging technology opportunities, developing innovation strategies, ... Learn More Alex Weishaupl Alex Weishaupl leads Protiviti Digital’s Creative & Design Studio Segment. He helps clients envision, build, and evolve customer experiences that deliver on their company’s vision and purpose, and build rich connections with their audiences – both external and ... Learn More BLOG A Legal Perspective on Artificial Intelligence Governance Artificial Intelligence (AI) has emerged as a transformative force across industries as AI systems are being rapidly developed and deployed. As businesses attempt to harness the potential of AI to innovate new processes and enhance existing ones,... BLOG AI Is a Double-Edged Sword of Business Opportunity and Cybersecurity Risk for E&U Industry The challenge: Companies in the energy and utilities (E&U) industry are moving fast to adopt artificial intelligence (AI), including generative AI, to increase their competitive edge. But while AI can help these firms to drive innovation, boost... BLOG The Pros and Cons of Using Synthetic Data for Training AI Artificial intelligence (AI) models—specifically, generative AI (GenAI) models—are becoming increasingly relevant for today’s businesses, yet many questions remain about how such models work and how accurate they are. Consider, for example, the need... 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... BLOG Strategies to Generate GenAI Success While the various forms of artificial intelligence (AI) have captured the imagination of nearly everyone in the business world, generative AI (GenAI) is rapidly becoming the hottest new kid on the block. We’ve seen the terms AI and GenAI being used... 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... Button Button AI’s Roles in Security: Protecting Applications and Ensuring AI Model Security Join Protiviti for a panel session featuring leaders from several organizations, sharing how they are navigating the emerging landscape of generative AI. Watch Recorded Webinar Manufacturer Optimizes Supply Chain Analytics With Azure Machine Learning This global manufacturer of batteries and portable lighting products had well-established, but manual, ocean freight shipping processes in place and was unable to nimbly respond to pricing spikes, increased scheduling lead-time and port backups caused by the COVID-19 pandemic. Read more Florida-Based Bank Optimizes Customer Relationship Value Through Innovative Data Approach This Florida-based organization 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 personalized service of a community bank while investing in the talent, technology and financial products customers expect from a large bank – from facilitating inbound investments and empowering small businesses to... 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. That number has reached stratospheric levels in today’s environment. In the retail space, customer... 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 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. Utilizing 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. Utilizing 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 recognize cardboard material. These solutions were designed to be hosted in the cloud environment, enabling scalability for peak seasonal demand.