Strategic Acquisition Brief · Confidential
In one summer Navy Federal Investment Services was named among the country’s best advisory firms a second year, rebuilt Digital Investor on a real-time platform with automated, goals-based portfolios, and kept building on the single omni-channel backbone under what the credit union calls augmented intelligence. The rails are real-time. What the stack does not yet contain is the instrument that computes, for a military household — a pension at forty, a survivor election, a Thrift Savings Plan, a move across state lines — the most it can safely spend, and whether it needs to take investment risk at all. MaxiFi is that instrument: the only commercial engine built on the economics of lifetime planning, faithful to the science and to the law, and warrantable because it is.
On August 3, 2026 Navy Federal Investment Services relaunched Digital Investor on Apex Fintech Solutions’ cloud-native AscendOS platform: real-time account opening funded from Navy Federal accounts, self-directed investing from one dollar, and automated, goals-based portfolios kept on strategy by the Apex Rebalancer. Diane Young, Chief Operating Officer of Navy Federal Financial Group: “it’s critical that our infrastructure is able to scale without sacrificing the seamless experience our members expect and deserve.”
On June 30 the same subsidiary was named to USA TODAY’s Best Financial Advisory Firms for the second consecutive year. Ms. Young, in that release: “Military families face unique financial opportunities and challenges throughout their lives, from frequent relocations and career transitions, to preparing for retirement and building generational wealth.” The 2025 annual report (May 12) put the scale on the record: 15 million members, $4.5 billion returned to them in 2025 ($473 a person), roughly a million contact-center calls a week, and 15 percent more investment accounts opened than the year before. The chief executive’s term for the next chapter is augmented intelligence: technology that enables team members to serve members better, not replace them; wealth management, in his May 2026 interview, is the growth he has asked his teams for.
For a military family the goal is arithmetic: a pension beginning at forty, the Survivor Benefit Plan election, Social Security on top of the pension, a Thrift Savings Plan in two tax flavors, TRICARE giving way to Medicare, and forty-two state codes on the way. Real-time balances invite the next question — what can this family safely spend, and does it need to take risk at all? Nothing in the rails, the rebalancer or the questionnaire computes that. This is the layer that does.
Conventional planning gets the first thing wrong: it never asks whether a household needs to take risk at all. It sets a spending target, usually too high, and adds equity to raise the probability of hitting it. The economics of lifetime planning begins elsewhere: with the most a household can sustainably spend with no investment risk, computed jointly across its whole life under the taxes and benefits the law actually imposes, with spending free to adjust, and only then treats risk as an option, evaluated against the household’s own aversion to loss. For a family with a pension, a survivor election and a mortgage, the difference is not a rounding error. It is the answer, in the family’s own terms.
Laurence Kotlikoff’s August 14, 2026 case shows what the premise is worth to an illustrative cautious household: a hypothetical 62-year-old retiree with $2 million and Social Security.
| Strategy | Sustainable discretionary spending | Versus the safe base, in the household’s own terms |
|---|---|---|
| Safety-first (TIPS-only base) | $83,451 / yr to age 100 | The base case: no investment risk at all. |
| 80/20 stocks and bonds | Far higher expected, much greater dispersion | 22% worse if the household is highly risk-averse; 22% better if it is risk-tolerant. |
| 20/80 stocks and bonds | Modestly higher expected | 9% worse if the household is highly risk-averse; 6% better if it is risk-tolerant. |
| Claim Social Security at 70 and time Roth conversions | + $8,608 / yr | Risk-free. Computed, not guessed — the part of the answer no glide path produces. |
Figures are Professor Kotlikoff’s, as of September 2026, for his illustrative household’s facts and assumptions, based on his August 14, 2026 article; they are not generalized. The plan depends on the person, and conventional planning never asks.
A member-owned institution whose members are, by the nature of their service, among the most cautious savers in the country, and which measures itself by what it returns to them, is the institution for which “does this family need to take risk at all” is the member-first question. An engine that begins from safety is the only kind that can answer it, household by household, and the only kind whose answer can be stood behind.
A large language model is a horizontal capability. Wherever a wrong answer is catastrophic, a purpose-built layer sits on top of it: Intuit keeps its own tax engine under TurboTax’s assistant and does not let the model guess the numbers. MaxiFi is that layer for lifetime financial planning. It is not an application Navy Federal would operate; it is a computation that Digital Investor, the advisor in the branch, the contact center and the assistant all call. From the member data the credit union already holds, it produces the safe base, the claiming and conversion sequence that fits that household, and the risk the household may choose to take on top. The member’s experience does not change. The provenance of the number on it does.
A rented planner cannot be warranted, because its spending target comes from outside the model and there is no correct answer to warrant. An owned engine that is faithful to the economics and computes under current law can be. Owned inside Navy Federal Financial Group, that is a claim no bank and no other credit union can make to the military family.
The life-cycle economics of saving, spending and risk has been taught in graduate finance for seventy years. MaxiFi is the only commercial engine built on it, and it is faithful to the science in two layers. The economics: safety-first, spending endogenous, the lifetime solved jointly, risk evaluated as an option against the household’s own risk aversion. The law: federal and forty-two state tax codes, Social Security, Medicare and IRMAA, required minimum distributions, Roth conversions, pensions, annuities and survivor benefits, encoded and maintained for thirty years, deterministic in the sense that matters — the same facts produce the same auditable answer.
When a technology team says “we could build this,” the answer is not the algorithm. Dynamic programming is taught. The answer is the classes of failure in which a rebuild silently ships a wrong number:
Military households carry the hardest arithmetic in American personal finance, and a rule of thumb on any of it is not an estimate; it is a wrong number the family lives with. Professor Kotlikoff confirmed in writing on September 30, 2026 that MaxiFi handles each of the following, and his September 2, 2026 case study works most of them through for a hypothetical E-7, 34, at Norfolk, with his wife and two children.
Figures are Professor Kotlikoff’s, from “Making Optimal Military Career Decisions with MaxiFi Planner” (September 2, 2026), for that hypothetical household’s facts and assumptions; they are not generalized. In his words, MaxiFi “gets state taxation of military pensions exactly right.” The engine’s premium plan review is performed by two former Air Force pilots.
Patent-winning. Named to Bankrate’s best financial planning software of 2025. Used by Robert Merton to teach financial planning at MIT Sloan. Built over thirty years by Boston University economist Laurence Kotlikoff, who intends to stay with the acquirer as architect and spokesperson. An active base of households is already planning on the method; figures in the data room.
For a member’s facts and assumptions, the plan MaxiFi produces is the plan the economics prescribes, computed under current law. A computational error is objectively decidable: rerun the engine and check. That is why a bounded accuracy guarantee with a stated exclusive remedy is insurable for an engine that owns its computation, and is not offerable by a planner whose target is set outside the model. Market returns, longevity, future law and the member’s own assumptions are never guaranteed. The guarantee covers the arithmetic and the fidelity, not the life.
The setting is specific. Navy Federal Investment Services is a FINRA member and an SEC-registered adviser, and FINRA’s Regulatory Notice 24-09 (June 2024) says the existing rules apply in full to advice produced with generative AI; the NCUA’s artificial-intelligence guidance (updated April 2026) names “managing model risk” among the challenges and asks a credit union using a vendor’s AI to conduct due diligence on how it functions. A wrong claiming age, conversion or survivor election from an assistant in front of fifteen million members is the same wrong answer for every family that asks; for a member-owned institution the cost is restitution to the families that relied on it, the examination that follows, and the erosion of trust — not an equity re-rating. The antidote is a reference answer: the assistant’s numbers are the engine’s numbers, rerun and checked against the law in force on the plan date.
At a member-owned institution, correctness is priced as a member dividend. “Advice you can hold us to” is the member-first statement in its purest form, and a claim no bank and no other credit union can make. We are not selling an insurance policy. The insurance is included.
Independent tests in 2026 established that the market cannot check its own arithmetic. Larry Kotlikoff’s Economics Matters Substack has run named head-to-heads against frontier engines on dollar-specific household problems; the variance across engines on identical prompts is the proof that correctness cannot come from the model layer.
How will you validate that any AI is correct? You will need to run MaxiFi to know. Correct means faithful to the economics; the instrument that can certify the AI is the faithful implementation of the science, computed under current law, today and after any attempted replication.
Navy Federal’s trajectory is wealth management for the military family, on real-time rails, under augmented intelligence, at a scale of fifteen million members, more than 150 advisor branches and a million calls a week. MaxiFi is not an addition to that trajectory. It is what completes it: the computed, warrantable answer to the question every one of those households eventually asks.
Every member household has a pension, benefit or claiming question. The engine turns “talk to an advisor” into a computed plan in the app, the branch and the contact center — the conversion path from banking relationship to Navy Federal Investment Services, provable in the first quarter of ownership.
A not-for-profit that returned $4.5 billion to its members in 2025 prices correctness differently from a bank: as value returned, not margin captured. A warranted plan is the dividend a member can test rather than a claim a member must take on faith. The claim persuades; the guarantee closes.
The Apex rails and the rebalancer keep a goals-based portfolio on strategy. The engine supplies the goal: the household’s sustainable spending, computed under current law, in place of a questionnaire. The Apex relationship is fed, not displaced, and the same computation serves the advisor in the branch.
An adviser is judged against the economics, not against any vendor’s product. The institution whose advice is faithful to the science has the defense; the one whose tool is not has the exposure. Owned inside Navy Federal Financial Group, the engine is denied to every bank and every other credit union; offered onward, it becomes the movement’s computation utility, a line that exists only for a credit-union owner.
The rails move the money; the rebalancer holds the allocation; neither decides the household’s number, and the household’s number is what the member’s trust is about. A rented planner cannot be warranted. An owned engine can, and there is exactly one MaxiFi.
MaxiFi is offered for acquisition: the engine, its intellectual property, thirty years of encoded law, and Larry Kotlikoff’s continued involvement as architect and spokesperson. The next step is a 30-minute orientation: one real, anonymized military household, our machine, in the room — the safe base case first, then the risk question — while a frontier model is asked to match it. Nothing is deployed and nothing is left behind; evidence deepens with commitment, and the full case is provable in an acquirer’s first quarter of ownership. First conversations with strategics are underway; we expect to narrow the field in early November.
Or write directly: Commerce@kaneco.com · subject “MaxiFi — Navy Federal orientation.”
Thirty minutes: the safe base case for a real, anonymized household first, then the risk question, then a frontier model asked to match the result. Choose a window and book it directly; or email with another time.
Commerce@kaneco.com