AI for Proposal and Scope Generation for Financial Services

The system uses disclosure language that your Chief Compliance Officer reviews and approves as a controlled template before the tool goes live. Every generated proposal pulls from that approved language library rather than allowing advisors to write their own disclosures from scratch. The draft still routes through your compliance review step before it reaches the prospect, so the AI is compressing assembly time, not bypassing the CCO's sign-off. Firms that have gone through SEC examinations find that having a consistent, documented disclosure in every proposal file is a significantly stronger posture than the variation that comes from advisor-by-advisor formatting.

The current integrations cover Redtail and Wealthbox on the CRM side, and Orion and Addepar for portfolio accounting and model data. Custodian data from Schwab Advisor Services and Fidelity Institutional can be pulled in for account type parameters and fee schedule confirmation. If your firm runs a different stack, the implementation scoping call is the right place to map what is available via API versus what requires a structured data export as an interim step.

Yes. Account type is a parameter the system reads from the prospect record or from the advisor's input at the time of generation. Fee schedules, minimum investment thresholds, and any account-type-specific disclosure language your compliance team has approved are applied automatically based on that parameter. A prospect considering both a taxable account and a rollover IRA can receive a single proposal document that addresses both structures with the correct language for each, rather than requiring two separate manual builds.

The proposal output is formatted to move into your existing e-signature process - the same one your team uses for Schwab or Fidelity account opening documents - once compliance has cleared the draft. We are not introducing a parallel signature tool. The goal is that a prospect who reviews and accepts a proposal can move directly into the account opening and CIP documentation workflow without your Client Service Associates re-entering data they already collected during the proposal stage.

Revision requests are where manual processes lose the most time, because the CSA typically has to rebuild the document from scratch. With the AI system, the advisor or CSA updates the relevant parameters - risk profile, model portfolio selection, account size - and the system regenerates the affected sections: the proposed allocation exhibit, the IPS language, and any fee schedule changes. The revised draft goes back through the same compliance routing step before it is sent. Turnaround on a revision is typically measured in hours rather than days.

The system captures the inputs that drove the proposal recommendations - risk tolerance responses, time horizon, stated objectives, income and net worth data from the discovery process - and attaches a structured suitability summary to the proposal file. This gives your CCO and any future examiner a clear record of why the recommended strategy was appropriate for that specific client under Reg BI's best-interest standard. It does not replace your firm's formal suitability review process, but it ensures the documentation that supports the proposal is generated and retained consistently rather than left to each advisor's own recordkeeping habits.