The Money You Lose in the Gaps

I opened this week's episode with a line I keep coming back to: most organizations aren't behind on AI. They're behind on the thinking required to use it.

My conversation with Lord Munjal, Founder and CEO of Alpheva AI, is a case study in exactly that. Lord isn't building a smarter chatbot for your money. He's building something that only becomes possible once you rethink the entire problem — and the problem, it turns out, isn't the one most high earners think they have.

Here's the uncomfortable truth we landed on early: high earners rarely lose money by making bad decisions. They lose it in the gaps. The gaps between the people who advise them.

The coordination gap

Lord spent years inside the machine — Bank of America Merrill Lynch, Citibank, investment banking, investment management, management consulting, venture capital — before he started seeing the same pattern everywhere he looked. Someone earns well, hires good people, does everything "right," and still bleeds money. Not to one dramatic mistake. To a hundred small ones that nobody is positioned to catch.

Walk through how it actually works for a high earner with, say, three to five million dollars in investable assets. You're paying your financial advisor around one percent a year — thirty to fifty thousand dollars — and for that fee they manage exactly one thing: your stocks and bonds. Your investment properties? Out of scope. Your restricted stock units? Out of scope. That stake you took in a friend's startup, or your alternatives, or your REITs? Your advisor can't touch any of it. The biggest, most interesting pieces of your financial life sit outside the very relationship you're paying the most for.

Then there's your CPA, who typically enters the picture 30 to 60 days before the April 15th deadline. By then, as Lord put it, the tax optimization ship has already sailed — the year is over, and most CPAs are built for compliance, not optimization anyway. They do the best they can with what they're handed. And here's the kicker: your CPA and your financial advisor have almost certainly never spoken to each other. Two of the most important people managing your wealth, operating in complete isolation.

Add the insurance products nobody is optimizing, the loans — car, home, business, personal — with terms nobody is negotiating on your behalf, and an estate plan that's either missing entirely or badly out of date. Each silo might be optimized on its own. None of it is optimized as a whole. And that gap, multiplied across a household, quietly costs high earners anywhere from tens of thousands to hundreds of thousands of dollars.

That's the nest Lord found. In the language of the Double Advantage Cycle — the framework from my book, Future Proof Your Business — your nest is the thing you can do that others find genuinely hard to replicate. Alpheva's isn't a single product. It's coordination itself.

A family office for the rest of us

The wealthy already solved this problem. The Bill Gateses, the Zuckerbergs, the Musks of the world run family offices — teams that see the entire financial picture and coordinate every moving part. But a family office only makes economic sense when you're paying a few million dollars to manage hundreds of millions. Everyone below that line simply goes without.

What changed is the technology. Lord's insight is that AI has finally made it viable to deliver family-office-grade coordination to people who could never afford the real thing. He defines the high earner as anyone making over $400,000 — people who are doing extremely well and are still, structurally, on their own. And he's clear that this is just the starting point: as the models improve, he wants to reach moderate and even lower-income earners too, precisely because they're the ones who need financial advice the most and almost never get it.

That's the second stage of the cycle showing up already — the product is diversified by design, folding tax, investment, insurance, and loan coordination into one place. But what struck me most wasn't the breadth. It was how he thinks about the intelligence underneath it.

AFI, not AGI

You sign up for an annual program — one that comes with a money-back guarantee, because as Lord said, shame on them if they can't save you at least as much as you're paying. You onboard in under five minutes, connecting your bank, brokerage, and loan accounts. For the things that don't live on banking rails — the $300,000 you lent a friend at a 10% coupon, the 5% stake you took in someone's company — you key them in manually. Then you tell the system who you are: your risk tolerance, your investment horizon, your short-, mid-, and long-term goals. One person wants to retire at 45; another wants to work until 95. The system needs to know the difference. Your sensitive tax, loan, and insurance details go into an encrypted financial vault.

Now, when you ask a question, you don't get generic advice. You get an answer shaped by your entire situation — because the system actually knows your situation, which no general-purpose chatbot does.

That's the distinction Lord drew that I think is the most important idea in the episode. Everyone else in AI is racing toward AGI — artificial general intelligence. Lord is chasing something narrower and, for his customer, far more valuable: what he calls AFI, artificial financial intelligence. Vertical, not general. A model trained on financial reality and pointed at one job: making sure your money isn't quietly leaking out of your household.

Education, on demand

Coordination only works if people understand what they're coordinating. Most of us discover financial products by accident — someone mentions one at a dinner, or your employer invests in something and you go read up on it. It's ad hoc, and it means you often learn about the right move long after the window to make it has closed.

Alpheva surfaces the education through the AI, at the moment you need it. Ask whether you should open a traditional or Roth IRA, and it explains the trade-offs for your circumstances. And at the bottom of every answer, there's a button to connect with a human expert in that domain — your CPA, say — for a second layer of comfort. Even when you don't press it, every answer is reviewed by a specialist in that field. That's the human-in-the-loop that keeps vertical AI honest.

Opening the platform

The third stage of the cycle is building a platform others can build on — and Lord is already there. Alpheva isn't just for end customers. Through the advisors section of the site, CPAs, financial advisors, insurance advisors, and loan brokers can bring the platform to their own clients.

The math is compelling. A tax advisor with 250 clients can suddenly offer financial, estate, insurance, and loan guidance too — differentiating from other firms, adding real value, growing revenue without growing workload, and, Lord says, cutting client churn by around 40%. When a typical CPA manages 250 clients and a typical financial advisor manages 110 or 120, giving each of them superpowers is how the platform compounds.

A team that owns the outcome

Stage four is a team that thinks like owners, and Alpheva builds that in with a program called BYOA — Build Your Own Alpha. Customers, partners, and employees can all propose features and improvements, and if their idea ships, they're financially rewarded. Feedback from the CPA and advisory firms during demos flows straight back into the product. The result is a company where the people closest to the problem are incentivized to keep making it better.

Where it's headed

And then the final stage — R&D, staying a step ahead by building the next thing before your competitors do. For Lord, that's agentic execution. Today, when a $100,000 bonus lands, Alpheva surfaces a plan: maybe 30% into the S&P 500, 40% into the Nasdaq, 10% to retire a high-APR credit card, the rest allocated to your goals. Tomorrow, you just say yes, and the money moves itself across every account — no logging into five different portals. Prefer to take a sabbatical instead? It moves the cash into a high-yield savings account earning 2 to 4%, opening one for you if you don't have it, with your consent.

On crypto and metals, Lord was refreshingly disciplined: those are just investment products. Alpheva's job isn't to tell you to buy Bitcoin or gold or a specific stock — it's to surface the opportunities and let you decide. And on the external environment, he's doing the unglamorous work of shaping the market itself: roadshows, podcasts, blogs, and events, spreading the idea that you can finally coordinate your whole financial life with AI.

That's the whole cycle, running in one company. Find the nest. Diversify. Build the platform. Build the team. Invest in what comes next.

Or, as I said to Lord at the close: build the architecture, and the advantage follows.

Listen to the full conversation with Lord Munjal on What Comes Next with Arun:

🎧 Apple Podcasts: https://podcasts.apple.com/us/podcast/what-comes-next-with-arun/id6788060249 🎧 Spotify: https://open.spotify.com/show/033KRXb9RHJJIDSoE2KjYF
▶️ YouTube: https://www.youtube.com/playlist?list=PLDBiRxvJWaSA

If this shifted how you think about coordinating your financial life, share it with someone who needs to hear it — and subscribe and leave a 5-star review.

The five-stage framework running underneath this conversation comes from my book, Future Proof Your Business.