Automating investment proposal generation starts with the client statement, but it should not end with data extraction.
With Investipal, advisor teams can move from client statement intake to proposal-ready recommendations in under 10 minutes, with support for 50+ custodian statement formats and 99%+ extraction accuracy for structured statement data.
The real value comes when the statement data flows into portfolio analysis, proposal generation, IPS documentation, onboarding, and follow-up tasks without the team rebuilding the same record in separate systems.
If you are comparing proposal software vendors, start with our investment proposal software guide. This article focuses on the narrower statement-to-proposal workflow.
TL;DR
- Statement scanning removes the first bottleneck: manual holdings entry.
- Investipal supports 50+ custodian statement formats and 99%+ extraction accuracy for structured statement data.
- Proposal automation needs clean data flow from statement intake to analysis and recommendations.
- Advisors should review extracted data and control the final recommendation.
- The strongest workflow connects statement scanning, proposal generation, IPS, onboarding, and Alpha.
Step 1: Upload the client statement
Most proposal delays begin when a prospect sends a brokerage statement and someone has to turn it into usable portfolio data.
Investipal’s automated statement scanner supports 50+ custodian statement formats and 99%+ extraction accuracy for structured statement data. It helps extract holdings and account-level information from statement files so the advisor can review the structured data instead of typing it from scratch.
This matters because the proposal will only be as useful as the data underneath it.
Step 2: Review and structure the portfolio
Automation should not remove advisor review.
Once holdings are extracted, the team should confirm the portfolio data, account context, and household structure. This review step helps ensure the recommendation is based on the client’s actual situation, not a generic sample portfolio.
Good proposal automation keeps this review inside the workflow instead of exporting data to a disconnected spreadsheet.
Step 3: Run comparative portfolio analysis
The next step is to compare the current portfolio with the proposed recommendation.
Useful analysis can include:
- current vs. proposed allocation
- concentration and exposure
- risk and performance context
- fee and cost considerations
- transition considerations
- recommendation rationale
The client should be able to see why the recommendation is being made, not just what the proposed allocation is.
Step 4: Generate the proposal
With the statement data and analysis in place, proposal generation can turn the workflow into a branded, client-ready proposal.
The proposal should include a clear explanation of:
- the client’s current situation
- the recommended portfolio
- the reason for the change
- the expected client benefit
- the next steps
AI can help draft the narrative, but the advisor should control the final recommendation and client-facing language.
Step 5: Create supporting documentation
Proposal work often triggers documentation work.
Advisory teams may need to support the recommendation with an investment policy statement, internal rationale, or related review steps. When the same data powers the proposal and the supporting documentation, the team avoids copying details between tools.
Step 6: Move from proposal to onboarding
When the prospect is ready to move forward, the workflow should continue into client onboarding.
The statement, analysis, risk inputs, and proposal context should not be abandoned after the PDF is generated. They should help the team prepare the client record, required steps, documents, and follow-up work.
Step 7: Use Alpha for follow-up
The last step is execution.
Alpha, Investipal’s in-app AI assistant, can help teams create tasks, answer workflow questions, and keep proposal follow-up from getting buried in email or chat.
That is important because an automated proposal still needs an owner, a next step, and a clear path into the client relationship.
What to avoid
Avoid proposal workflows where:
- statement data is extracted but not connected to analysis
- analysis has to be copied into a separate proposal tool
- IPS documentation is created from scratch
- onboarding restarts data collection
- follow-up tasks live outside the advisor workflow
Each handoff adds time and increases the chance that something gets missed.
See the statement-to-proposal workflow
Investipal is built to connect statement intake, analysis, proposals, IPS, onboarding, and follow-up in one advisory workflow.
Explore Automated Statement Scanner, review Proposal Generation, start a free trial, or book a demo to see the workflow end to end.
FAQ
How do advisors automate investment proposal generation from a client statement?
Advisors can automate the workflow by using statement scanning to extract holdings, reviewing the structured portfolio data, running analysis, generating a branded proposal, preparing IPS documentation, and carrying the same client context into onboarding.
Is statement scanning enough to automate proposals?
No. Statement scanning is the intake layer. To automate proposal generation meaningfully, the extracted holdings need to connect to portfolio analysis, recommendation rationale, proposal output, compliance documentation, and follow-up tasks.
How does Investipal support statement-to-proposal workflows?
Investipal connects automated statement scanning, portfolio analysis, proposal generation, IPS, onboarding, and Alpha so teams can move from client data to client-ready next steps in one workflow.
How fast can Investipal turn a client statement into a proposal-ready workflow?
Investipal helps advisor teams move from client statement intake to proposal-ready recommendations in under 10 minutes, with support for 50+ custodian statement formats and 99%+ extraction accuracy for structured statement data.
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