A leading digital payments provider asked Deloitte to help it stand up a more agile data delivery model. The results? Speedier product launches, streamlined business intelligence and data management, and meaningful cost advantages.

Optimizing the data life cycle and delivering enhanced insights for evergreen agility

Challenge

One of the world’s leading digital payment providers wanted to shift to a more agile DevOps delivery model for data. The goal was to accelerate new product launch, consolidate to a single vendor contract to simplify business needs for business intelligence and data management, and realize cost advantages in total cost of ownership and opex—all against improving stability, business agility, and support coverage for a high volume of transactions.

Solution

• Initiated an “Implement to Operate” approach where process and tech improvements were developed with an eye on ensuring seamless transition to an Operate solution
• Leveraged managed services capabilities in BI/data warehouse including production support, job monitoring, reporting, enhancements, and upgrades
• Managed core Operate work across both Data Ops and ERP support
• Provided fixed-fee pods for data engineering and a fixed-capacity based fee model for global finance products
• Optimized processes by implementing intelligent automation to selected tasks in harmony with new data landscape

Outcome

• 20%+ reduction in product launch time
• 7% month-on-month effort reduction via automation
• Launched 200+ products over a 24-month period
• 100% service line area success

A global hospitality company acquired its largest competitor—and used it as an opportunity to drive an enterprisewide transformation to be more digitally enabled. Deloitte helped it establish an AI center of excellence and deploy new capabilities across AI, intelligent automation, machine learning, and more.

Use evergreen AI to drive strategic change from board to key functions

Challenge
A global hospitality company acquired its largest competitor—and used the opportunity to drive a massive enterprisewide transformation to become more digitally enabled and innovative with new capabilities across AI, intelligent automation, conversational AI, machine learning, and more.

Solution

• Deployed IA, conversational AI, and machine learning in HR, finance and accounting, and marketing and sales; and proved the technical and financial viability of the technologies to the CEO and executive committee
• Established an artificial intelligence center of excellence to govern and manage the discovery, implementation, and operation of all AI solutions
• Conducted an enterprisewide AI discovery effort to establish a pipeline of implementation opportunities across marketing and sales, customer contact center, HR, IT, finance, and resort operations/supply chain
• Conducted rapid vendor assessment for intelligent automation, conversational AI, and machine learning, and mobilized for a large-scale implementation program

Outcome

• Identified $24M in cost savings opportunities
• Identified $180M in revenue uplift opportunities that can be unlocked with AI technologies
• Stood up AI Factory and delivered and optimized 20+ automations, three conversational AI solutions, and six ML models in the first two years of operation
• Educated client’s executives and senior management on AI technologies and increased the overall tech savviness of client’s leaders
• Established artificial intelligence as a priority item for client’s board of directors

When a global technology leader needed to replace piecemeal solutions provided by multiple vendors with a consolidated solution that would support insight-driven decision-making and ensure higher data quality through AI and machine learning, it turned to Deloitte.

Delivering cohesive managed AI and advanced analytics services

Challenge
A global technology leader needed to replace piecemeal solutions, provided by more than half a dozen vendors, with an efficient, more holistic solution that would ensure data quality, enhance knowledge sharing, and make use of AI and machine learning to both detect trends and anomalies and support insight-driven decision-making.

Solution

• Operationalized AI Foundry team: Deloitte’s team worked with the client to transition its operating model to an agile data assimilation environment for greater data quality and transparency
• Developed AI/ML solutions and fixed issues: Advanced models were developed and leveraged for customer segmentation and data anomaly detection with AI/ML/analytics solutions that would help detect and prevent fraud as well as self-learn to resolve missing data
• Made insights fast and mobile: Executives received insights on cellphones, with speed increasing from monthly to near-real-time delivery; eventually the AI Foundry team would turn the operation back over to the client

Outcome

• 30% reduction in resources: AI Foundry managed services gave the client the capacity and capability to launch new products at breakneck speed more efficiently without the previous fragmented players and piecemeal road maps
• 4x growth in volume of analytic artifacts: Within six months, Deloitte helped the client achieve better business agility with analytics insights across different business units
• Reduced revenue leakage: Machine learning-enabled data integrity checks and pattern analysis helped the client take actions to prevent revenue leakage from fraud
• Faster time to insights, better decisions: Dashboards delivered accurate, timely data to scientists and analysts for insights that led to faster, more effective decisions by executives—all via their cellphones

COVID-19 disrupted an integrated health care provider’s manual invoice processing, jeopardizing both supplier relationships and pharmacy supply, so it called in Deloitte's AI & Data Operations team for help. The results? Zero backlog of invoices, 200% increase in staff efficiency, 80% increase in invoices processed each day.

AI enhances evergreen business agility by alleviating manual burden for health care provider

Challenge

Due to the workplace disruptions brought on by COVID-19, an integrated health care provider that had always relied on manual invoice processing faced an overwhelming backlog of invoices, which jeopardized its supplier relationships and timely pharmacy supply.

Solution

• Deployed CortexAI platform, with automated data validation/business rules
• Automated invoice intake from suppliers/vendors to lower the cost of processing
• Established a classification system that filtered invoices based on priority
• Deployed an advanced OCR engine to automate the extraction of invoice data
• Produced analytics and operational metrics on invoice status to ensure sustained quality

Outcome

• 80% increase in volume of invoices processed per day
• 200% increase in operator’s work efficiency due to fewer manual interventions
• Avoided $620M in duplicate transactions
• Achieved zero backlog, and fortified ability to handle demand spikes
• Transitioned to full AI/ML capabilities, with learning models validated and deployed twice a week

A top 10 US bank faced pressure to trim costs, optimize talent, and enhance customer service for its card operations. Deloitte helped identify automation solutions that turned the bank’s wish list into realized benefits—fast.

Accelerating speed to benefits for evergreen automation solutions for card operations

Challenge
A top 10 US bank faced pressure to identify automation solutions to drive cost savings, talent optimization, and enhanced customer service—fast.

Solution

• Designed a multiyear program to scale process improvements leveraging a “tool box approach” that brought our integrated workflow, process automation, data transformation, cloud, and AI/ML capabilities to bear
• Defined a governance structure for automation delivery and implemented detailed requirements to ensure performance and insights
• Fielded our Advise-Implement-Operate approach to ensure opportunities that were identified were then translated into automation and evergreen management

Outcome

• $35M+ in operating cost savings and cost avoidance across anti-money laundering, customer disputes, collections and servicing, power of attorney, and general exception processing in one year
• Reduced maintenance overhead by approximately 20%
• Created reusable code libraries to enhance speed to market by 15%
• Put in place enterprise automation reporting using DigitalHeartbeat
• 1,000 users and increasing every day

In its transition from holding company to integrated operating company, a global food company wanted better data insights to help drive both efficiency and growth. With Deloitte’s help, the company developed a pipeline of data and analytics projects that are doing all of that and more.

Building the data cultivation capabilities to power long-term AI value

Challenge
A global food company in the middle of an operating model shift—from holding company to integrated operating company—recognized that data silos and analytics challenges were jeopardizing its ambitious growth and efficiency targets. To meet its objectives, the company needed to balance long-term development of a common data foundation with speed to delivery of business insights in order to meet its strategic objectives.

Solution

• Defined the ambition for the full data and analytics life cycle
• Stood up and operated a data and analytics system through ReadyAI to identify, prioritize, deliver, and operate data and analytics products across businesses, regions, and functions
• Established a business and IT lead steering committee to prioritize use cases and maintain tight alignment to business strategy
• Served as executive advisers to the business by sharing outside-in perspectives
• Established a design thinking capability to shape insights with the business

Outcome

• Delivered 4x ROI on analytics projects, with over 50 projects in the first nine months
• Drove brand awareness, perception, and permission for the data and analytics foundry, resulting in broadening of analytics offerings and 10x increase in data and analytics budget
• Subsequently expanded to service all finance data, analytics, and AI across the company’s enterprise, which, within the first three months, targeted 110,000 saved hours per year and $15M in cost savings

Chances are, you have significant pools of untapped value hiding in your data. Deloitte’s AI & Data Strategy Solutions bring your strategy, operating model, and technology together to help you turn your data into lasting competitive advantage.

AI & Data Strategy helps address these common challenges:

• Identifying the right technologies, platforms, and ecosystem partnerships to suit your vision
• Assessing the potential value of your data
• Defining an operational roadmap to maximize value
• Finding opportunities to monetize and commercialize your data
• Creating and validating proofs of concept at speed

Whether you are looking for a seamless migration to the cloud, a way to manage your data, or a partner to power advanced analytics, AI, and ML, Deloitte can help your organization fuel decision-making with data modernization and analytics.

Data Modernization & Analytics helps overcome these common challenges:

• Scaling GenAI with an advanced data platform
• Improving trust, interoperability, and governance
• Delivering accurate and timely insights
• Unlocking business value with diverse data
• Reducing data analytics platform costs through cloud modernization and optimization

It’s likely you’re already collecting terabytes of highly valuable data. With DataOps, Deloitte brings the data science and tools to help you manage, structure and make data investible, and then apply that new asset to real business goals and outcomes.

DataOps helps overcome these common challenges:

• Collecting and keeping data unnecessarily
• Improper data processes
• Data that’s stored but not useful
• Keeping up with speed of data input

As you accelerate your adoption of AI, you’ll need access to specialized talent, faster development cycles, and ongoing resources to maintain and advance AI models. Deloitte’s ReadyAI™ brings together skilled AI specialists and managed services to help clients scale AI throughout their organizations.

ReadyAI helps overcome these common challenges:

• Hard to find talent
• Sluggish AI development
• Tedious model upkeep
• Limited access to AI assets