Financial institutions are marketing a rapidly growing number of life insurance and annuity products across diverging audiences and channels. In fact, industry research group LIMRA reports that in 2025, U.S. retail annuity sales reached $464.1 billioni, up 7% from 2024 and continue to climb.ii
As younger generations increasingly think about their long-term financial and retirement planning, marketing teams are creating strategic go-to-market plans to reach younger buyers in their preferred channels. But more channels mean more volume that marketing and compliance teams need to manage.
Many organizations are taking advantage of AI tools to help accelerate content creation and campaign execution. It’s easy to see why. McKinsey & Company reports organizations that are fully AI-enabled throughout the marketing lifecycle activate campaigns 35-50% faster, while reducing content generation processes from weeks to minutes.iii However, financial services and insurance teams that are using AI tools to help with the volume and speed of content creation may find it difficult to maintain marketing and advertising compliance review standards using legacy tools and processes. iv
As we discussed in our e-book, “The struggle is real: Overcoming hurdles in content creation & review,” financial services firms that rely on manual compliance review processes are finding it hard to keep pace with the volume of work.v This workflow volume challenge is affecting the life insurance and annuity industry as well. As life insurance and annuity markets continue to grow, we expect vendors to continue to expand their use of AI tools to not only help create content, but to check their content for regulatory compliance / non-compliance more quickly, accurately, and reliably.
Why life insurance and annuities advertising compliance is uniquely challenging
Unlike other financial products, life insurance and annuities are primarily state regulated. The National Association of Insurance Commissioners (NAIC) creates model laws and regulations that provide an important foundation for many state requirements, but there is no one-size-fits-all national standard. Most states have adopted some version of Model Regulation #570, Advertisements of Life Insurance and Annuities Model Regulation,vi but have modified some of the NAIC model provisions and added more state-specific provisions.
The state rules apply to advertisements distributed in the state, regardless of the domicile of the insurer, agent, or agency creating the advertisement. As such, an insurer with a home office in Illinois, for example, may also be governed by a mailing sent to a potential customer in Michigan. Other state-specific examples include:
- In New York, advertisements distributed to consumers must include a New York address for the insurer, including city or town.vii
- California’s regulations include rules regarding marketing aimed at consumers over age 55,viii plus a second set of rules for advertising that targets consumers over age 65.ix
Failure to account for these variations may create regulatory exposure, including enforcement action and financial penalties, as well as reputational risk.
Where AI fits: an extra pair of "eyes," not a replacement
With increasing content volume and the risks associated with complexity, beleaguered compliance teams are understandably looking to automation to help them successfully ensure compliance. However, AI is just one part of the process.
Human reviewers retain a critical role in the advertising compliance review process. Applying nuance, handling exceptions, and understanding the true intent of a firm’s marketing and advertising content are best left to people knowledgeable about the insurance industry. That said, AI shows value as a first-level reviewer to help flag potential compliance errors. In fact, we’ve found that properly trained AI models can help detect up to 90% of what a human reviewer can.x
By using AI for this first level of review, life insurance and annuity marketers are more enabled to submit more compliant content faster to their compliance review teams, freeing marketers to spend less time on iterative edits and more time on delivering high-value messaging. On the compliance end, reviewers can also use AI to help check that content meets regulatory and internal standards.
Naturally, this doesn’t mean eliminating pre-existing internal legal and compliance checks, nor does AI replace any other layer of sign-off internally or with regulators. However, we have found that AI tools designed for compliance can help marketers release content and launch campaigns up to 10 times faster.xi
Where can AI agents most help compliance?
For life insurance and annuities vendors, an AI model properly trained on NAIC model laws can help with several common areas of emphasis, such as:
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Unsubstantiated claims Flag language that is vague, exaggerated, written in absolutes, and/or otherwise potentially misleading. Additionally, AI agents can point out where a statement may need supporting context.
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Comparative statements Avoid comparing products, features, carrier, rates, and outcomes. This often involves avoiding superlatives (“best,” “highest,” “leading,” etc.) and lofty promises.
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Unfair comparisons Similarly, where comparisons are allowed, they shouldn’t omit material tradeoffs, compare unlike products, or imply anything about a competitor without fair, valid proof.
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Prohibited language Prevent the use of terms and phrases explicitly prohibited by NAIC rules. This includes misleading guarantees, implied government affiliation, or language that may mischaracterize life insurance and annuity products.
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Omission of material facts Ensure that any benefit or outcome statement contains supporting evidence for consumers to fully and fairly understand the offering.
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Non-guaranteed vs. guaranteed elements Avoid conflating contractual guarantees with hypothetical projections and other assumptions.
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Statistical misrepresentations Verify that any percentages, rankings, survey findings, and other quantitative claims are substantiated, properly cited, relevant to the target audience, and not breaking any other rules.
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Insurance specific ratings The regulations have precise requirements for use of an outside financial rating. AI can check that all elements are present. |
In addition to these sentence-level alerts, AI designed to support insurance advertising compliance functions may help detect the inclusion and proper characterization of required disclosures, such as:
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Mandatory disclosures Confirm that disclosures required for all advertising of the product type are present and complete.
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Triggered disclosures Identify when specific language or claims in the copy trigger an additional disclosure requirement that wouldn't otherwise apply.
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Product-specific disclosures Flag when a disclosure required for a particular product type or feature is missing or misapplied.
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Material facts requirements Ensure any benefit, outcome, or performance statement includes the context a consumer needs to fairly evaluate it.
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Risk and fee disclosures Verify that risks, charges, and fees tied to the product are clearly and appropriately disclosed.
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AI can deliver value beyond simple flagging
AI can do more than identify potential errors, misrepresentations, or incomplete statements. It can help explain why content was flagged and recommend ways to improve it, enabling both stronger marketing outcomes and more efficient compliance reviews.
For marketers, AI can enhance content quality through capabilities such as sentiment analysis and readability scoring, leading to cleaner first drafts, fewer revision cycles, de-risked language, and faster time to market.
For compliance teams, AI can streamline reviews by consistently detecting common issues and applying review standards more uniformly.
The result is greater efficiency across both functions, allowing marketers and compliance professionals to spend less time on routine tasks and more time focused on strategic decisions and expert judgment. By supporting the shared goals of accuracy, clarity, and speed, AI also has the potential to foster a more collaborative relationship between marketing and compliance.xii
How AI can fit into existing workflows
Automation and process redesign is no small consideration. New tools require training and new compliance checks, and if poorly implemented, have the potential to threaten business continuity.
Luckily, today’s compliance AI tools typically don’t require a rip and replace. There are multiple ways to integrate them into existing workflows.xiii Let’s look at three potential ways to get started:
- Embedded workflow tools. These tools encompass end-to-end process orchestration, allowing for full process visibility with real-time collaboration and the ability for stakeholders to make edits and comments in-line with the workflow.
- Add-ins. Some compliance tools can be integrated into content creation tools where they scan content as it’s created. This enables editing in near real-time without leaving the content tool, creating the potential for reducing overall time-to-production.
- APIs. When process redesign is not possible or legacy tech is entrenched, APIs can bridge the gap between AI and incumbent tech stacks.
Expanding compliance capacity without compromising oversight
In life insurance, annuities, and other regulated industries, adoption of AI by compliance teams isn't about replacing human judgment. Rather, it scales human expertise while preventing process bottlenecks from becoming a risk and a competitive disadvantage. In a growing, diversifying market, AI can help life insurance and annuity marketing and compliance teams meet the growth potential of the market with less compliance friction.
Footnotes
[i] LIMRA, Annuities in Focus: 2025 Sales Performance and the Forecasted Path Through 2028 [ii] LIMRA, LIMRA: U.S. Annuity Sales Set New Quarterly Record, Totaling $123.9 Billion in the Second Quarter of 2026 [iii] From Campaigns to Continuous Growth, McKinsey & Company. June 22, 2026. Retrieved August 18, 2026 [iv] Saifr Blog, Compliance requirements for life insurance and annuity products, Laurie Lewis [v] Saifr eBook: The Struggle is Real: Overcoming Hurdles in Content Creation, 2024 [vi] NAIC Model Regulation 570, Advertisements of Life Insurance and Annuities Model Regulation, 2015 [vii] New York Insurance Law § 2122(b) [viii] California Insurance Code § 10127.8 [ix] California Insurance Code § 787 [x] Compliance Review Solutions | SaifrReview | Saifr [xi] Compliance Review Solutions | SaifrReview | Saifr [xii] Saifr Blog, Marketing and compliance can work together effectively, Vall Herard [xiii] Saifr Blog, How Contextual AI Is Helping Transform Pre- and Post-Marketing Compliance Review Workflows, Allison Lagosh
The opinions provided are those of the authors and not necessarily those of Saifr or its affiliates. The information is general and educational in nature, is for informational purposes only, and should not be construed as legal advice.
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