This piece is by Jay Singh, Head of Client Solutions, Hedgeness
An annuity illustration is often a substantial document. It may run to 20 pages or more, bringing together calculated values, assumptions, guarantees, non-guaranteed elements and required disclosures.
That detail serves an important purpose. The illustration is a regulated, client-facing document designed to explain how an annuity may perform under defined conditions. It should remain the authoritative source for the values presented to an agent, financial advisor or client.
At the same time, creating an illustration produces information with value beyond the completed PDF. The product selected, the assumptions entered, the scenarios compared and the alternatives considered can all provide useful context. The opportunity is not to reduce the illustration’s compliance role, but to make appropriate use of the information around it.
An illustration creates both a document and data
Many carriers already use illustration activity for reporting and analytics. In aggregate, the data can reveal which products, riders and strategies are receiving attention, how activity differs by channel, and where agents or financial advisors may be encountering friction. Those patterns may also inform product development, training and distribution support.
At the individual case level, however, the information serves a different purpose. A wholesaler preparing to support an agent or financial advisor may not need to read every disclosure or year-by-year value before understanding what was explored. The relevant context may be which product was illustrated, the client objective, the broad assumptions used and whether alternative scenarios were considered.
The illustration remains the approved document. A concise case summary simply makes selected information easier to use within the wider sales process.
AI can help users explore alternatives
AI also creates opportunities while an illustration is being prepared. Subject to carrier and compliance rules, it can help an agent, financial advisor or wholesaler explore alternative assumptions within the same product, consider another approved product addressing a similar objective, or understand the trade-offs between different scenarios.
For example, a user exploring retirement income might benefit from seeing how different commencement dates, premium amounts or rider selections affect the outcome. AI can help organise those alternatives and explain the differences in accessible language.
However, the division of responsibility must remain clear. AI should not invent product values or become an independent calculation source. The approved illustration engine and carrier product rules should generate the numbers and disclosures. AI’s role is to help users navigate available choices, request appropriate comparisons and understand the resulting trade-offs.
This approach allows AI to support positioning and understanding without displacing the regulated illustration or the judgement of the financial professional.
The information can support relevant follow-up
The opportunity continues after the illustration is generated, particularly when an agent or financial advisor creates it independently.
Selected activity can give a wholesaler useful context for follow-up: what type of strategy was explored, whether multiple scenarios were considered and which areas may require further explanation. This does not mean that generating an illustration proves purchase intent. It is a signal of consideration, and it should be treated accordingly.
Where appropriate, the same controlled information could support a case summary, provide context within the CRM or help organise a follow-up discussion. Reducing unnecessary re-entry also lowers the risk that assumptions or case details will be recorded differently across systems.
Here again, controls matter. Any summary should remain attributable to the underlying illustration data, distinguish recorded facts from AI-generated observations and operate within the carrier’s existing review and compliance framework.
One controlled source serving different purposes
The compliant PDF and the surrounding sales workflow serve different purposes, but they can originate from the same controlled information.
For insurance executives, that creates a broader way to evaluate illustration capabilities. Accuracy, regulatory compliance and document generation remain fundamental. But it is also worth asking whether the structured information behind the illustration remains governed, accessible and useful after the document is produced.
Can aggregate activity support better analytics and product decisions? Can an agent, financial advisor or wholesaler understand appropriate alternatives without stepping outside approved calculations? Can selected case information support relevant follow-up while preserving the illustration as the authoritative source?
The goal is not to turn a regulated illustration into a sales document. It is to allow the information surrounding the illustration to support sales, analytics and operational workflows without weakening the controls that give the document its authority.
An annuity illustration will—and should—remain a regulated client-facing document. The next opportunity is to make its controlled information useful before, during and after the PDF is generated.
About the Author
Jay Singh is Head of Client Solutions at Hedgeness, which provides AI-powered distribution software for insurance carriers and asset managers. He has more than two decades of experience across financial services and technology and regularly speaks at industry conferences on AI, financial services technology and distribution.
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