Confidential — Prepared for MassMutual
Confidential — Prepared for MassMutual
MassMutual Private Wealth. The WMS‑Orion platform. Virtual assistants on the path to autonomous agents. Each one, at the decisive moment, must answer the same question: what should this household actually do? MaxiFi is the engine that answers it — verifiably, deterministically, backed by a thirty‑year validation record no fast‑follower can shortcut.
Agreed — so don't buy a platform. MaxiFi is offered as an engine: a computational core your systems call through a modern API/agent interface. An engineering team could write a planning solver; what cannot be bought is thirty years of production hardening against the edge cases that break lifetime optimization — and the independent validation record proving this engine gets it right. The pace of AI doesn't erode that asset; it makes it scarce.
You integrated Orion across 6,500+ affiliated financial professionals in a single announcement cycle. MaxiFi asks less: it slots beneath the planning workflows you already run — the engine inside, not a layer bolted on. Your advisors keep their tools. Your assistants gain a brain that never guesses.
MassMutual is a top‑10 insurer on the 2026 Evident AI Index — the highest‑ranked mutual life insurer in the field — and your virtual assistants are, by design, evolving toward autonomous agents. Generative models are extraordinary at language and unreliable at arithmetic over lifetimes. Consumption smoothing, survivor contingencies, tax‑aware withdrawal sequencing, insurance sizing: these are dynamic‑programming problems, not text prediction.
An agent that drafts is a productivity tool. An agent that recommends is a liability — unless the number it speaks comes from an engine that can prove its answer. MaxiFi is that proof layer: economics‑based, validated over decades, endorsed by Nobel laureate Robert Merton, and built on the lifecycle framework of Nobel Prize‑winning economic theory.
MaxiFi computes optimal life and disability coverage from consumption smoothing — not income‑replacement rules of thumb. Every plan surfaces a defensible protection need. For the company U.S. News named best life insurance company of 2026, that is premium growth with fiduciary‑grade footing.
Social Security optimization, Roth conversion strategy, withdrawal sequencing, spend‑down design — computed to the dollar, household by household. The planning depth that wins HNW families, available to every advisor MassMutual Private Wealth serves.
Your assistants handle the conversation; MaxiFi handles the computation. Recommendations become auditable outputs of a deterministic engine — the difference between AI that must be supervised and AI that can be trusted at scale.
"That's why you need software with which AI can't and will never compete: software that gets it verifiably right." — Prof. Laurence Kotlikoff, creator of MaxiFi
Larry Kotlikoff’s Economics Matters Substack has run a growing sequence of head‑to‑head tests: identical household facts given to MaxiFi and to the leading AI engines. The record is dated, dollar‑specific, and public — and a German court has now held Google liable for damages arising from its AI‑generated statements. The gap below is the liability your industry is inheriting; the engine that closes it is the asset on offer.
Four frontier AIs sized the same 50‑year‑old father’s coverage at $1.3M, $1.4M, and $3.8M — against MaxiFi’s internally consistent $2.09M, peaking at $2.5M in 2035. Every conventional method the AIs reached for (10×‑income, DIME, capital‑needs) is programmable in a spreadsheet — and wrong. The piece closes on the class‑action logic: an insurer that owns the correct computation converts this risk into premium.
The median household leaves $182,370 of lifetime Social Security on the table. AI told a test subject a job change adds at most $35K in lifetime benefits — the right answer is $168K. Claiming strategy is the front door of every retirement‑planning conversation your advisors have.
“The AI said John and Jane can spend approximately $52,000 per year in discretionary spending. MaxiFi’s demonstrably correct answer — verifiable by inspecting its reports — is $63,382.” The founding head‑to‑head of the series.
An AI’s Roth‑conversion sequencing tested against MaxiFi’s optimized path on the same household facts: MaxiFi’s computed strategy came out 72.7% better. Roth strategy is core Private Wealth terrain.
Seven dated tests and counting, before 137,000+ subscribers. In MassMutual’s hands, this record is the validation dossier behind every advisor conversation. In a rival’s hands, it is the critique.
There is one validated, economics‑based consumption‑smoothing engine on the market. Acquiring MaxiFi gives MassMutual a permanently differentiated planning core — and permanently denies it to Northwestern Mutual, New York Life, Guardian, and every wealth platform racing to bolt planning onto AI. In a decade when advice converges on software, the firm holding the correct computation sets the standard the others must approximate.
We are deliberate about where MaxiFi lands. A mutual company answerable to policyowners — not to a quarter — is, in our view, the right home for an engine whose purpose is getting every household's plan verifiably right. That conviction is why this conversation is happening with MassMutual first, and why it remains open after April.
Forty‑five minutes. Your planning and technology leads, our economist and our banker.
A live case, your questions, and the integration path on one page.
Michael W. Kane, Ph.D., J.D. — Managing Partner, Kane & Company
MichaelKane@Kaneco.com · (310) 701‑KANE (5263)
FINRA/SEC/SIPC‑Registered Investment Bank · 34 years