Embracing AI to More Efficiently Process Retirement Plan Documents

Artificial intelligence seems to be everywhere, with seemingly endless applications. However, many in the retirement plan industry are still figuring out how to integrate it into their workflow.

In a conversation with PLANADVISER, ERISA attorney David Levine spoke about how he has used artificial intelligence to develop a tool for retirement plan administration and his predictions for what is likely to come in the future.

For more stories like this, sign up for the PLANADVISERdash daily newsletter.

PLANADVISER: How do you see AI being integrated into the retirement plan and DC recordkeeping and investing space?

David Levine picture

David Levine

Levine: Where AI is most prominent in the retirement plan market right now is in the area of education and advice. Not a day goes by that I don’t see a new or existing solution promoting its use of “AI.” What I find most exciting is less the “we have AI” message, because—much like prior generations of computer innovations—it is rapidly becoming a core, rather than unique, function, but how it is used for increased personalization for stakeholders in the retirement and investment industries.

PLANADVISER: What are the biggest misconceptions about AI in the retirement plan industry?

Levine: The first misconception is that AI “thinks.” It isn’t conscious. It takes skilled programmers and those with subject matter knowledge to maximize its value. The second misconception is that AI will replace everyone. It isn’t true. We’ve all become increasingly “cyborg-like” over the years. For example, when is the last time someone read a map? Most people just use a maps application on their phone. It doesn’t mean we still don’t need maps.

PLANADVISER: How is the current AI potential different from the computer-based models of the past that have been used to develop managed accounts or participant advice platforms?

Levine: Traditional computer models have been more linear in that ‘A’ leads to ‘B’ output. AI and large language model systems allow more granularity and shades of gray that can enhance personalization.

PLANADVISER: Can you tell us a little more about your product and how it leverages AI to solve a problem or inefficiency?

Levine: PlanPort is a web-based solution that is designed to address a key challenge in the retirement industry: reading, understanding and translating plan documents for a variety of purposes, including onboarding, mergers and acquisitions, and participant-level services. To read and understand a plan document can take a significant amount of time, and PlanPort helps cut the time involved to a fraction of historic manual practices so that human subject matter experts can maximize the value of their time.

Although there is a lot of talk about AI, at PlanPort, we use AI as one component of a complex, layered process that integrates detailed knowledge of how retirement plans and plan documents “work” with an AI system that provides a key step in translating these documents.

PLANADVISER: How do you train or maintain your AI systems to keep up with potential regulatory changes?

Levine: Because our system is a “universal translator” for plan documents, we focus on maintaining key plan provisions as part of our output. We do not train AI models on client documents, and they are not “the product” that could be sold or leak out between our business partners.

PLANADVISER: What areas of the retirement plan industry can expect the most change due to AI in the next two to five years?

Levine: Aside from the impact of PlanPort, which our team is confident about, education and advice are most likely to be impacted. The biggest area of regulation and restrictions is one of your prior questions—the training of models on client data. I already regularly see negotiations over the restrictions on the use of stakeholder data in training AI models, and I expect that to grow.

PLANADVISER: How will AI be used to augment or replace human work or interaction?

Levine: I see it as an augmentation tool. The debate for decades has been: Does technology replace or augment human work? AI is good in many things and will evolve, but it makes a great companion—not a replacement for human beings with their judgment, knowledge, expertise and social skills.

PLANADVISER: Are there any ethical or privacy issues you can envision in the application of AI in the retirement plan space? What should fiduciaries be aware of when considering tools that incorporate AI?

Levine: As noted above, in the privacy world, there has long been discussion about what happens to individual and corporate data when used by third parties, and legal contracting is already addressing that point. The more confidential the information, such as personally identifiable information, the more beneficial it can be for stakeholders to understand how information will be used, shared and monetized. However, courts have generally focused on privacy as a contract matter and not, despite some attempted claims, as a fiduciary breach matter, so this topic may be yet another part of the contract negotiation process.

David Levine, a lawyer by trade, is the founder of PlanPort and a principal in Groom Law Group, Chartered, the largest employee benefits law firm in the United States. No Groom or Groom client information or resources of any kind are used in PlanPort, and PlanPort does not provide legal advice of any kind.

Any opinions of the author do not necessarily reflect the stance of ISS STOXX or its affiliates.

More on this topic:

Regulators Urged to Take Risk-Based Approach Toward AI
AI and the Future of Participant Services
Moving Toward AI, Both Ethically and Responsibly
Bringing AI to Practice Management
Making Decisions About AI Adoption

AI and the Future of Participant Services

Use cases for both generative and agentic artificial intelligence continue to expand, especially in areas like participant education and personalized experiences.

Plan sponsors and plan advisers are excited about the prospect that rapid advancement in artificial intelligence technology will eventually help them democratize custom and personalized services—providing scale and reach at a lower cost.

However, the pace at which such technology is advancing has many plan advisers still in discussions with their plan sponsors about the best way to leverage AI tools, which are evolving from generative—creating content from prompts such as text, image or code—to agentic models—executing tasks and making decisions inside a set environment.

Want the latest retirement plan adviser news and insights? Sign up for PLANADVISER newsletters.

“It is starting to almost dominate the conversation in every interaction that I have with our plan sponsors, advisers, consultants and even participants,” says Randy Blaha, vice president of technology for Nationwide’s retirement solutions business. “This is an active dialogue happening across the space.”

For defined contribution plans, a generative AI tool can create content or power a chatbot that answers straightforward participant questions. Agentic AI, on the other hand, could potentially suggest best next steps for participants and then execute transactions on their behalf, working across multiple applications to solve problems in a more interactive way and on a more timely basis.

While plan advisers and other providers may be testing or building programs internally, plan sponsors do not yet have access to products in the marketplace that actually make use of agentic AI.

“We think that over time, there’s a really strong, compelling value proposition,” says Dennis Elliott, head of product and platforms at T. Rowe Price. “But it’s hard to see it just yet, because everyone is still building right now.”

Advisers Showing More Interest Than Sponsors

Plan advisers appear more willing to try out the new technology than plan sponsors. A recent Morningstar survey found that only 5% of sponsors were actively using artificial technology, but roughly half of those not using it would consider doing so. However, 35% of advisers surveyed in Orion’s Advisor Wealthtech Survey said they were already using AI and machine-powered services tools and services to better assist their clients.

“We’re starting to see some experimentation, more in the adviser space, especially at firms that provide a broader range of technology services,” Blaha says. “Those that don’t have those capabilities are really starting to put AI and technology advancements in their own development plans.”

Meanwhile, use cases for generative AI continue to expand, including for things like participant education and more personalized chatbots. AI agents are also increasingly able to help deliver a better experience to plan participants, Blaha says.

“We’re focusing those digital workers in areas that take our associates away from being available for participants and looking at how they can truly make an impact on the customer experience side,” he adds.

Prioritizing Data Security

As plan sponsors become more interested in such products, however, plan advisers are focused on ensuring that best-in-class data security and privacy protections remain in place.

“Particularly when you are starting to pilot a new technology or testing new things and bringing new vendors into the mix, there needs to be a pretty strong vetting process in place,” Elliott says. “That’s probably the biggest risk out there: that if you’re using participant data to create a more personalized experience, you have the right protections in place.”

Providers are also adjusting their offerings to meet the demands of individual clients, which can vary significantly.

“We have companies that want us to build them a generative AI chatbot, and we have other companies that want us to turn off AI for participants,” says Melissa Nysewander, head of Fidelity Investments’ workplace investing artificial intelligence center of excellence . “We have to deal with both angles, and we work regularly with our product team to make sure that we are delivering what clients want and need.”

Educating Participants

As new products come to market, plan advisers will likely need to work with clients to create plans aimed at explaining new features to participants and getting htem comfortable with technology that may feel very foreign to them. David Blanchett, portfolio manager and head of retirement research at PGIM DC Solutions, likens the revolution to online, do-it-yourself tax programs.

“If you were to tell people 30 years ago that tens of millions of people would file their taxes online using TurboTax, they’d think you were crazy,” he says. “They’d say you need an accountant. We’re creating different financial ecosystems and different ways to get advice and guidance.”

In the long term, agentic AI has the potential to reduce friction and make both personalized financial planning and complex transactions easier for plan participants to complete. For example, multiple AI agents working together could ultimately recognize the need for a 401(k) rollover and complete the transaction on behalf of a participant.

“We’re moving to a future where there’s true autonomous decisions and actions being made through AI for individuals in all different ways,” says Amy Chou, chief operating officer of the financial wellness platform Addition Wealth.

More on this topic:

Regulators Urged to Take Risk-Based Approach Toward AI
Embracing AI to More Efficiently Process Retirement Plan Documents
Moving Toward AI, Both Ethically and Responsibly
Bringing AI to Practice Management
Making Decisions About AI Adoption

«