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 AI 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.

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.

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.

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.

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.

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.

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.

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 organisations transform and succeed by focusing on business value and managing risk. His ...

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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 Paycheck Protection Program PPP. The window for application was very tight with an extremely high volume of applications needing to be entered and process. Each application required over 50 data entry points and a single error would cause the entire application to fail and need to start over. Client desired an automated solution to quickly enter 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 a day, was experiencing delays and errors in their processing centers. Challenges included special handling requirements for oversize packages while packages with cardboard material were required 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 was inefficient.  

Utilising deep learning for image recognition for the conveyor belt video feed, Protiviti developed two proprietary detection algorithms to both quickly and accurately identify oversize packages and recognise cardboard material. These solutions were designed to be hosted in the cloud environment, enabling scalability for peak seasonal demand.