Imagine a simple call: a 401(k) participant needs a loan.
What happens next? An agent opens three different PDFs, scrolls through endless pages of dense legal text, and hunts for the one clause that details the loan amount and implications. They are toggling between an adoption agreement, a Summary Plan Description (SPD), and a separate procedure guide, all while the participant waits on the line.
Queue the Jeopardy theme song!
Ten minutes later, the answer is finally delivered. It's correct, but there's no record of which section in which of the three documents was used.
Now, multiply that by hundreds of retirement plans and thousands of calls every day. Suddenly, each extra minute on the phone becomes a wasted cost, and every undocumented answer turns into a potential audit risk. Not to mention the headache and frustration on both the customer and the customer service front. This isn't service; it's a structural problem.
The documents themselves are the root of the inefficiency. They were originally drafted for compliance reporting, not for easy service or retrieval.
Think about it:
Even with great training, the entire process relies on human recall and guesswork rather than verified retrieval. This structure guarantees inconsistency and drives up your operating costs.
The work doesn't have to run this way. The future of retirement-plan servicing lies in retrieval-augmented generation, or RAG for short, which transforms a chaotic document search into a controlled, auditable workflow. And, when coupled with AI, it leads to that promised land of fast, accurate, and simplified results.
The agent still owns the judgment and the communication; the system simply removes the time-consuming scavenger hunt, and assists with delivering accurate results.
Manual process |
Retrieval workflow |
Action: Agent searches two documents, checks a third for exceptions, and confirms with compliance. |
Action: The system locates the hardship clause, lists the qualifying events, and generates a cited draft. |
Call time: 15 minutes. |
Call time: 5 minutes. |
Record: Inconsistent or incomplete. |
Record: Full record of sources used for audit. |
That 10-minute difference repeats across every plan and every question, every day. And it adds up to significant time savings.
This shift to service intelligence delivers a powerful return on investment for recordkeepers, third-party administrators, and large plan sponsors—anyone handling high-volume, plan-specific questions.
Impact area |
Result |
Time |
Calls shorten by several minutes, scaling to thousands of hours saved annually. |
Accuracy |
Every answer cites its legal source, virtually eliminating interpretation errors. |
Compliance |
Each response leaves a complete, irrefutable audit trail. |
Cost |
Lower handle time and less rework instantly cut service expense. |
For too long, retirement-plan servicing has relied on human memory and recall to interpret complex documents. The next stage is Service Intelligence—where AI enhanced retrieval, citation, and review replace memory as the basis for accuracy.
This change does not automate judgment; it standardizes how evidence is found. The result is not just faster service, but stronger fiduciary control over one of the most complex areas of financial services.
If your service teams still search through adoption agreements or SPDs during calls, you're paying a premium for risk and inefficiency.
Schedule a session with Doculabs and Vertesia. We will use your actual plan documents to show the workflow in real time: how our AI platform retrieves clauses, cites them, and records each exchange for audit.
You will see the process operating inside a live service environment, using your material and your rules. Let's fix your retirement-plan servicing.