How Prudential Financial has Transformed Spend With Data

Without spend visibility, procurement is nothing. It is, to quote Prudential Financial’s Richard Porcaro, “the foundation for every decision you’ll ever make.” And he would know. As Vice President, Global Head of Sourcing & Category Management at the US-based financial services company, Richard has played a central role in an ongoing transformation journey, working with a spend analytics partner to revolutionise how the function uses data, modernises sourcing and supplier relationships, and drives strategic value.

“Building a strong, robust data foundation – regardless of how complex that is or how long it takes – is critical,” Richard adds, “not only for procurement and the functions it works with, but for the entire enterprise. Without the right steps in place and having measurable spend visibility you get slower decision making and unreliable outcomes, you’re more exposed to risk and you miss crucial opportunities.”

Richard is no stranger to transformation. Over more than 20 years in procurement and supply chain he has worked for the likes of GlaxoSmithKline, UBS and Chubb, before joining Prudential Financial in late 2024. 

The pace of change in procurement over this time, particularly in recent years, means large-scale change is essential if major organisations want to remain robust, resilient and competitive, he says. “The mission remains the same: ensure supply, manage costs, quality and risk, and drive innovation – that won’t ever really change. 

“But when it comes to technology, our marketplace has moved from procurement applications installed behind a firewall to where we are now, with Gen AI and agentic AI rewriting the way procurement works,” he notes. “The growth of AI, and its requirement for paramount attention to data fidelity, means transformation for all corporate functions, not just procurement, needs to start with data hygiene.  It’s no longer an option or something that can be pushed down the road in favour of other priorities.”

Transformation and foundation building

The need for creating a robust data foundation on which AI and other technologies can be deployed was part of the impetus for transforming procurement at Prudential Financial. 

The business, which was founded in 1875 and operates through subsidiaries in the US and internationally in Asia, Europe and Latin America, provides insurance investment management and other financial services including financial planning and retirement solutions. 

“Within this context, we operate a centre-led global procurement function that’s tailored to be flexible and agile while also supporting the company’s overall growth trajectory,” Richard explains. “Naturally, our role is to ensure the supply side is optimised for cost, risk, quality and robustness, but equally as important is our ability to provide strategic support as the business evolves.”

The company embarked on transformation to bring together the procurement capabilities federated across the organisation, initiating a tech-focused programme designed to strengthen resilience, optimise supplier relationships and future-proof operations. 

The strategy integrates risk management, sustainability, digital tools and data-led decisioning. “The idea is that the sum of the parts is greater when brought together,” Richard says. “It’s been a rapid transformation that will enable us to support strategic growth by revolutionising our technological base.”

The importance of spend visibility and data

To deliver on those strategic ambitions, Richard and the team focused on spend visibility, collaborating with and implementing a spend analytics platform that would enable the organisation to connect analytics with clean and structured data in order to leverage AI and other innovations. 

For Prudential Financial spend visibility is critical, enabling the procurement function to have accurate insights and data across myriad areas of operation, from intake and orchestration, category management and strategic sourcing, through to contract lifecycle management, third-party risk, supply relationship management and beyond. 

“Because of the federated nature of the organisation, that insight and data lives across multiple areas including different ERPs, regional AP ledgers, P-cards and travel systems, or with third-party administrators that we work with,” Richard explains. “When you’re putting spend visibility technology in duplicate vendor masters with split ownership or divergent naming standards, it can bring challenges. 

“By bringing that data together we can see true line item detail, compare suppliers or have a real and measurable single source of information that removes opacity across multiple areas, from corporate events and joint ventures, through to mergers and acquisitions, divestitures and more.”

This level of visibility is particularly important for a financial services company like Prudential Financial, says Richard, noting that lack of insight “makes it very hard to spot variability in patterns of pricing, or to quantify risk or exposure to specific areas.”

The implementation process began with pilot projects in the US and Japan – both markets where the company has a large and long-standing presence – before moving into global adoption. 

Challenges are inherent in any large-scale transformation. And while Richard and the team have made remarkable progress across the organisation, already bringing tangible results, the large volumes of data Prudential Financial handles combined with the need to onboard 20 federated and global organisations were key considerations from the outset. 

“With spend visibility in transformation, it’s less about flipping on a new application – you choose the right partner to do that, after all – and more about collating, handling and rationalising the massive volumes of data across the organisation. It’s the absolute paramount mission,” Richard explains. 

“In terms of specific challenges, it was largely around data acquisition, working across teams and workflows and often having to dig deep into multiple layers of information to get the right data,” he adds. “We implemented from line item detail at the bottom and built from there. This allowed us to connect artefacts like purchase orders, invoices, payments and more to create a well-governed data set that could be a reliable foundation our AI agents can feed from.”

As part of the implementation, the team built a category model to organise and group spending into logical categories and gain better visibility over spend. “We also used external data sources including probabilistic matching natural language techniques to reconcile data and brought human review into that system, blending automation and stewardship to create one single trusted source.”

Partnerships and potential

It’s rare that such a body of work can be delivered in isolation. In this instance Prudential Financial worked with a recognised spend analytics platform to drive the implementation.

Richard is a firm believer in the power of collaboration when it comes to successful transformation, a lesson he learned earlier in his career. “I’ve worked with some influential mentors who have taught me valuable lessons,” he says, “particularly around initiating change and the importance of culture and leadership. Technology, even the most advanced innovations we work with, is just a toolkit. In actual fact, transformation is entirely contingent on people.”

When it comes to working with key partners, he cites the importance of finding common ground – leadership and a business culture rooted in procurement acumen, rather than simply an ability to deliver technology – as key. “It means that, when a partner comes to the table, they’ll shepherd you through implementation tactically with unified and relevant procedures, approaches to data and more. Really it’s about finding people and methods that resonate with what you’re doing.”

Organisation-wide change

While the transformation work is ongoing, implementing spend visibility and building robust data foundations has already brought measurable results, both in terms of pure procurement plays like supplier management, cycle time reduction and savings, as well as strengthening the function’s standing as a strategic enabler. 

Supplier management and better risk mitigation in particular are critical in an increasingly complex and uncertain global environment. “Resilience means having multiple sourcing options and contracts that can adjust when macroeconomic factors shift – supplier relationships are a big part of that,” says Richard. 

“When markets are tight, suppliers prioritise trusted buyers and provide more flexible terms or capacity access, but you have to have the right partners – and the right view of consumption patterns,” he adds. “With the kind of critical data we now have, we can shape key outcomes in this environment, protect margins and steer investment where it matters most. All of that comes from having better spend visibility.”

Richard also points to other benefits, including the ability to curate more procurement category initiatives from the data and the capability to consider opportunities for supplier consolidation or expansion of contract realisation where necessary.  

More broadly, unlocking new insights has transformed the way procurement operates with both external and internal stakeholders. “With clean data we can now map to our other procurement related sources like contract lifecycle management, category initiatives, procure-to-pay or sourcing,” Richard highlights. “By doing so, we can identify upstream constraints early, and not just for procurement. 

“For example, our company-wide forecasting will be significantly enhanced. That means we’ll be able to help stakeholders in finance with inflationary or rate expectations. We’ll be able to play payment timing to earn early discounts, and we’ll have the ability to overlay agentic AI on top of our data to propose index linked adjustments. 

“Suddenly, a clean set of spend data becomes a very powerful tool, on which we can build what we’re calling a feature store – a place with the consolidated inputs you need for deploying machine learning models and AI across the other functions, not just procurement,” he states.

The transformation has shifted the dial culturally, too. As a result of the work, database intelligence can be driven into other functions, Richard reports. At the same time, analysis and insight across Prudential Financial has moved from anecdote to evidence, with the introduction of more technology also driving efficiencies and enabling team members to spend more time adding measurable strategic value to the organisation. 

“We now have the foundations in place to allow us to move headfirst into AI,” says Richard, looking ahead. “We have a trusted set of data from which to build the vectors required for AI solutions to mine, and I’d advise anyone considering transformation to do exactly the same. We have some big wows coming once we start overlaying our generative and agentic solutions and I’m excited about the future – we’re headed in a pretty amazing direction.”