Artificial Intelligence Services
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.
Accelerate innovation with critical insights from AI
Our AI solutions and capabilities
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 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.