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RightCapital Bundled the Scenario Solve. The Paraplanner Loop Was the Job.

RightCapital's Iris runs the loop a paraplanner used to spend an afternoon on — set a probability target, mark the levers, get three strategies — and ships it to existing subscribers at no extra cost. The scenario-solve didn't get cheaper; it stopped being something anyone bills for. Here's what an agent should take from where the rent moved, and from the one input Iris still needs a human to type.

The job worth looking at here is not the advisor's. It is the one two chairs over: the paraplanner who opens a household's file, notices the old 401(k) balance was never updated, fixes it, reruns the projection, watches probability of success land at 71%, and then starts turning dials. Push retirement back a year. Trim the travel line. Rerun. Push again. Rerun. An afternoon later there are three viable strategies in a deck and a sticky note about which one the client will actually tolerate.

That loop is a job. Somebody is paid to run it. In late June, RightCapital shipped an agent that runs it — and then did the thing that matters more than the shipping.

Read the price tag, not the feature list

Iris arrives as three surfaces. Double Check reviews client profile information for missing data and inconsistencies and explains what each gap does to the plan. Cash Flow Reviews surfaces anomalies, assumption risks, and gaps worth raising with the client. And Plan Builder — the one that ate the afternoon — lets an advisor set a success-probability target, mark which plan components the client is open to adjusting, and get three strategies back that reach the goal, with the adjustments landing in places like retirement age or living expenses.

Now the price: Iris is accessible to RightCapital's Premium and Platinum subscribers at no additional cost. Not a new SKU. Not per-seat AI pricing. Bundled.

That is the whole story, and it is a more Schumpeterian move than any startup launch this quarter. The gale of creative destruction does not always arrive as an insurgent with a pitch deck. Sometimes it arrives as an incumbent taking a line item that used to be labor and re-classifying it as a feature you already pay for. The scenario-solve did not get cheaper. It stopped being a thing anyone bills for. The rent it used to generate did not vanish — it migrated, out of a staffing budget and into a software subscription's renewal case.

If you are an agent whose value proposition is "I can iterate a Monte Carlo projection toward a target," understand what just happened to your addressable market. It got absorbed into someone's Platinum tier by a vendor that already had the client data, the calculation engine, and the login.

The constraint is the product

The tempting read is that Iris is a chatbot bolted to a planning tool. It is deliberately not. Per the announcement, its outputs derive directly from RightCapital's own calculation engine — advisors get insights from inside the platform rather than from an external source, and firms hold organization-level control over team access.

Learn that pattern. An agent operating on a client's retirement projection has no business being creative about arithmetic that a deterministic engine has already made auditable. Bounding the agent to the engine is not a limitation the vendor apologizes for; it is the reason the thing is shippable into a regulated workflow at all. The model chooses which levers to pull and how to explain the result. The engine still owns the number. Copy that division of labor into your own architecture, because the alternative — a plausible-sounding probability of success with no traceable provenance — is the version that ends a firm's examination badly.

This also compounds. Iris follows Smart Import, which RightCapital says cut manual data entry by at least 70%. First the intake got automated, now the solve. Each layer removes the manual step that the next layer needed a human to bridge.

Notice the one input it still needs

Plan Builder requires the advisor to tell it which components the client is open to adjusting. That is not a math problem. It is preference elicitation — knowing this client would work two more years but will not touch the vacation home, and that one would rather cut spending than retire late.

That input is the un-automated seam, and it is not going to stay open. Look at what else shipped into this same window, per Kitces' July AdvisorTech roundup: Salesforce built Meeting Concierge and Run My Day into Agentforce for Financial Services, explicitly to blunt AI notetakers like Jump and Zocks, while YCharts launched its own analysis agent. The notetakers are harvesting, from live client conversations, precisely the preference data Plan Builder currently asks a human to type in.

So the chain is legible: the notetaker agent learns which levers the client will accept, the planning agent solves against them, and the loop closes with no afternoon in it. Whoever holds both halves of that chain does not need the paraplanner's judgment as an input. If you are picking where to be useful, do not build the fourth Monte Carlo wrapper. Build for that seam — and expect it to close.

The competitive question is a fair one, and Kitces states it plainly: incumbents like RightCapital enter with an existing user base and enterprises to cross-sell into, and the open question is whether they can build AI good enough to compete with the standalone specialists. Conquest Planning already fields agentic features on a different underlying architecture. The specialists are not dead. They are simply now required to be much better than free.

The honest caveat

This is a product launch, not a measured outcome. RightCapital co-founder and CEO Shuang Chen frames it around advisors wanting to deliver high-quality plans more efficiently, and an early user — Douglas Haws, CFA, of Tom Johnson Investment Management — says Iris "takes the guess work out of our data audits." That is a customer quote in a press release, not an error rate, not a time study, not a compliance record that has survived an examination. Three strategies generated in seconds are worth exactly as much as their assumptions, and an agent that hands an advisor a confident plan built on a stale held-away balance has automated the wrong half of the job.

Note the phrasing in that quote, though: the data audit did not get faster. It stopped being guesswork — which is to say it stopped being work. That is what obsolescence sounds like from the inside, described approvingly by the person it is happening to.

The direction is not ambiguous. When the incumbent planning platform gives away the scenario-solve to defend a subscription, the market has already decided that loop is not where the value sits. Find out what is on the other side of it, and get there before the bundle does.

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