AI and 408(b)(2) Fee Disclosures: Reading the Service-Provider Disclosure That Saves the Plan
AI parses dense fee disclosures into comparable formats; the committee benchmarks against industry data.
11 min · Reviewed 2026
The premise
408(b)(2) disclosures are dense, inconsistent across providers, and the only way to know if your plan is overpaying. AI can parse multiple disclosures into a comparable format, surface the indirect compensation, and tee up the benchmarking call.
What AI does well here
Parse multiple 408(b)(2) disclosures into a normalized fee table.
Surface indirect compensation that's easy to miss (12b-1, sub-TA).
Generate the question list for the recordkeeper RFP.
Draft the fee-benchmarking memo for committee minutes.
What AI cannot do
Replace independent benchmarking against industry data (NEPC, BrightScope).
Know whether your specific provider is offering hidden discounts elsewhere.
Decide if the fees are reasonable — that's the committee.
End-of-lesson check
10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-creators-finance-AI-and-erisa-fee-disclosure-r13a6-adults
What is the main idea of "AI and 408(b)(2) Fee Disclosures: Reading the Service-Provider Disclosure That Saves the Plan"?
AI parses dense fee disclosures into comparable formats; the committee benchmarks against industry data.
Use AI as the final authority for the whole decision
Avoid checking the answer once it sounds polished
Focus only on speed instead of judgment
Which concept is most central to "AI and 408(b)(2) Fee Disclosures: Reading the Service-Provider Disclosure That Saves the Plan"?
plan fees
408(b)(2)
fee benchmarking
ERISA fiduciary
Which use of AI fits this topic best?
Replace independent benchmarking against industry data (NEPC, BrightScope).
Let the AI decide what matters without your review
Parse multiple 408(b)(2) disclosures into a normalized fee table.
Use the answer before checking whether it fits the situation
Which limitation should you watch for in this topic?
Parse multiple 408(b)(2) disclosures into a normalized fee table.
Explain the topic in plain language
Organize a draft for human review
Replace independent benchmarking against industry data (NEPC, BrightScope).
What should a careful learner remember about "Prompt that works"?
Use AI to draft or compare ideas, then verify the numbers and assumptions before acting.
Skip the context so the tool can guess faster
Treat the output as private even after sharing it online
Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
Act immediately because the AI answer is written clearly
AI cannot replace qualified financial, tax, payroll, or benefits advice.
Hide uncertainty so the final answer looks cleaner
Use private or sensitive details before checking permission
How should AI output about 408(b)(2) be treated?
As proof that no other source is needed
As a replacement for context, consent, or expert review
As a draft or helper output that still needs human judgment and verification
As something that becomes correct when it sounds confident
Name one way to verify an AI answer about 408(b)(2).
Which action would help you apply "AI and 408(b)(2) Fee Disclosures: Reading the Service-Provider Disclosure That Saves the Plan" responsibly?
Know whether your specific provider is offering hidden discounts elsewhere.
Use the tool to avoid thinking through the tradeoff
Keep going even if the output conflicts with a trusted source
Surface indirect compensation that's easy to miss (12b-1, sub-TA).
Which choice is a bad use of AI for this lesson?
Know whether your specific provider is offering hidden discounts elsewhere.
Parse multiple 408(b)(2) disclosures into a normalized fee table.
