How to use the AI Plan Builder

Building plans from unstructured data, reports, notes, transcripts, etc.

Written by Justin Fitzpatrick

Last published at: November 26th, 2025

The Income Lab AI Plan Builder allows you to move away from traditional data entry - finding pre-specified fields in the app and typing/choosing your answers - and toward simply giving the software any information you have already and allowing an AI agent to find the information useful for building a plan.

To use the AI Plan Builder, go to the Households page, click + Add Household in the upper right of the screen, and click AI Plan Builder.

 

 

You will then be able to upload your documents and/or enter/paste text that will be used as unstructured inputs that the AI agent will use to search for plan inputs.

 

 

There are numerous ways you can use these options, including:

Upload existing financial plan documents, including plans created using other financial planning tools, like RightCapital, MoneyGuide Pro (MGP), eMoney, NaviPlan, and more. 

The AI Plan Builder provides a way to import plans from other planning systems, such as major legacy programs like MGP, eMoney, and RightCapital, without needing to link the software systems together or ensure you are using the exact right report document with specific formatting. Regardless of the report you use, the AI agent will do its best to find all of the information it can. Keep in mind that the best practice here is to upload reports that have the information needed to create a plan. If the document you upload doesn't have certain information, the AI agent can't find it!

Upload existing financial plan documents and add extra information in the text box. 

If you know the document is missing some information, or if you want to provide more information or context, just upload the document/report and add the information simultaneously in the text box. For example, if the report doesn't contain Social Security information, you could add in the text box something like: “John's primary insurance amount is $3000 and he will claim in May 2027.

Upload a meeting transcript from a virtual meeting tool or AI notetaker. 

If you run virtual meetings (Zoom, Microsoft Teams, etc.), get a transcript of a client meeting from these systems or, if you use a note-taker (Jump AI, Zocks, Fireflies, Otter.ai, etc.), get a transcript from these tools and upload it by simply copying and pasting the text into the text box.

Upload a meeting summary from an AI notetaker. 

If you use an AI note-taker, especially one built for financial advisors (Jump AI, Zocks), get a summary that includes the information needed to build an Income Lab plan. You may find this pre-built in your tool or, if the tool allows it, you could build your own prompt or use examples that work particularly well for Income Lab inputs. Drop this summary into the text box (just copy and paste) and go!

Upload a filled-in client questionnaire. 

If you have your own client intake form or questionnaire, simply upload it as a document to the AI Plan Builder. If you don't have your own questionnaire, you can use Income Lab's client intake PDF. These questionnaires often contain most or all of the information you need for a great Income Lab plan.

Type a description of the clients' situation into the text box. 

Type up a description of clients (names, birthdates), their investment accounts, their Social Security, any non-portfolio income (pensions, etc.), and more, either in your own document or notes in a CRM, then paste that into the text box. Or just type this information directly into the text box. No need to use perfect formatting or put the information in any particular order. You can even have typos!

 

These are just a few of the most common uses of the Income Lab AI Plan Builder. The goal of this tool is to eliminate the time and pain caused by data entry, allowing you to create and update plans in minutes with no mindless busy work. With this tool, we meet you where you already are! You can use the tools, reports, and systems you already use - just drop that information into the AI Plan Builder and the AI takes it from there.

Once your uploaded information has been processed, the plan will be Ready for Review. Watch the bell icon in the upper right of the screen for a notification that the AI Plan Builder is done. Click the bell to view available plans or find them in your household list.

 

 

Click on “Review” to review what the AI agent found. This is a great opportunity to fill in any missing information or make any corrections. Of course, you will always be able to make further edits and additions to the plan once you have completed your review.

 

 

On the review screen, you will see any fields where information was not found, or where the values are uncertain, highlighted in yellow. You will also see the number of these fields noted at the top of the screen. Scroll down to see these fields or click Skip to Fields to access tools that will let you toggle through these fields.

 

 

Make any changes you'd like to these or any other fields, then click Create at the bottom of the screen. If any fields are still yellow, you will see a notice, but you can simply click Create to proceed with the current values.

 

 

That's it! Now the plan is created. The best practice is to view the plan in Life Hub and make any necessary additions or edits that were not included during the initial review.

If you choose not to review and create a plan from information uploaded to the AI Plan Builder, that information will be deleted after 30 days, and the option to review and create the plan will be gone. This automatic deletion of information is for privacy and security reasons.

 

 💡 About our AI Tools

We engineered these AI tools so that we can change which LLM we incorporate into the tool, or even use multiple models. We use top-tier domestic LLMs from providers like ChatGPT, Gemini, and Claude. These providers launch new models all the time and at any given time we use whatever top-tier LLMs offer the best security options and performance for our users. The key is to make sure client data is secure and is not used to train LLMs.