Automated Proposal & Scope Generation for Financial Services

AI proposal generation for financial services firms - faster, compliant client proposals integrated with Redtail, Orion, and custodian workflows.

Your current team stays - this is about the roles you haven't posted yet.

Target: 2-4 day

proposal turnaround down to same-day

Consistent Reg BI disclosure in every draft

Target: 50-70%

fewer CSA hours on manual assembly

Proposals tied to live Orion/Addepar model data

Go-live target: weeks 7-10

What You Need to Know

What Is ai proposal generation in Financial Services?

AI proposal generation in financial services means using AI to draft investment proposals, IPS documents, and engagement scopes that are pre-populated with client suitability data, fee schedules, and Reg BI disclosures - pulling from CRM records in Redtail or Wealthbox, portfolio data in Orion or Addepar, and model portfolio libraries. For RIAs and broker-dealers, this replaces the manual assembly of ADV Part 2 excerpts, risk tolerance summaries, and proposed allocation exhibits that typically span multiple systems and require compliance review before they reach a prospect. The output is a client-ready document that reflects the firm's actual investment methodology and meets the documentation standards FINRA and SEC examiners expect to see in the file.

Signs You Have This Problem

6 Ways Manual Processes Are Costing Your Financial Services Firm

Advisors miss the window on warm referrals because proposal assembly takes 2-4 days across Redtail, Orion, and a shared drive of Word templates

Compliance finds Reg BI best-interest documentation is inconsistent across proposals because each advisor formats their own version differently

Client Service Associates are the bottleneck - they are pulling ADV Part 2B excerpts, fee schedules, and allocation exhibits manually for every new prospect

Proposals go to prospects with stale model performance data because the Addepar or Orion export was not refreshed before the document was finalized

Business development cannot scale outreach because the back-office team is already at capacity on proposal production for existing pipeline

When a prospect requests a revised proposal with a different risk profile or account type, the whole manual process starts over from scratch

01The Problem

At most mid-market RIAs and broker-dealers, a new client proposal requires a Client Service Associate to pull household data from Redtail or Wealthbox, export proposed allocation models from Orion or Addepar, attach the relevant ADV Part 2B for the assigned advisor, confirm that the recommended strategy clears the firm's suitability matrix under Reg BI, and then format everything into a branded PDF - a process that routinely takes 2-4 business days per prospect and involves at least 3 people touching the file. When a prospect meeting is moved up or a referral comes in late on a Friday, that pipeline collapses. The compliance stakes make shortcuts dangerous: a proposal that omits required Reg BI best-interest disclosures or misstates fee tiers is not just an embarrassment, it is an examination finding waiting to happen. Business development teams at growth-stage firms feel this most acutely because every hour an advisor spends chasing proposal components is an hour not spent on discovery calls or COI relationships.

02How We Solve It

Revenue Institute's AI proposal generation solution connects directly to the systems financial services firms already run - Redtail and Wealthbox for client and household data, Orion and Addepar for current holdings and proposed model performance, and your custodian account opening workflows at Schwab or Fidelity for fee and account-type parameters. When a new prospect is flagged in your CRM, the system drafts a complete proposal package: an investment policy statement outline, a proposed allocation exhibit drawn from your approved model library, a fee schedule pulled from your billing configuration, and the required Reg BI best-interest disclosure language your Chief Compliance Officer has pre-approved as a template. The draft routes to the responsible advisor for review and to compliance for a final check before it is sent for e-signature - the same e-signature workflow your team already uses for account opening forms. Nothing bypasses your CCO; the AI compresses the assembly time, not the oversight.

The Business Case

Expected ROI for Financial Services Firms

For a firm running 20-50 new prospect conversations per quarter, compressing proposal turnaround from 2-4 days to same-day or next-day works on close rates for an obvious reason: a prospect who receives a well-structured proposal while the discovery conversation is still fresh is an easier close than one who waited a week. The cost reduction is also real: Client Service Associates who spend a significant portion of their week assembling proposal packages can redirect that time to onboarding, client service, and CIP documentation work that actually requires human judgment. Compliance risk reduction is harder to quantify but matters to any firm that has been through a FINRA or SEC examination - consistent, template-controlled Reg BI documentation in every proposal file is a defensible posture that ad-hoc assembly simply cannot produce.

These figures are modeled expectations - based on how our deployments are architected, stated as assumptions rather than client results, not a published industry benchmark. We build the math on your numbers during the strategy call.

The default fix for this workflow is another hire - $85K-$120K a year loaded, 3-6 months to productivity, also stated as assumptions. A system runs the process work for a fraction of that, once. Your current team stays: your people do the judgment work, the system does the process work.

Why Financial Services Firms Choose Revenue Institute

MSPs sell uptime. Agencies sell deliverables. AI vendors sell hype. Consultants sell slides. We build the technology your business runs on, then we run it. Every engagement starts with your specific workflows, compliance requirements, and business objectives. No generic templates. No off-the-shelf tools forced into your process.

Native Stack Integration

Connects directly with Salesforce, HubSpot, NetSuite, and the tools your financial services team already uses.

Compliance-by-Design

Every system is architected around your regulatory requirements - audit trails, access controls, and data residency included. It runs inside your existing platforms and permissions.

Go-live target: Weeks 7-10

Deployment follows The C.O.R.E. Method - your highest-ROI workflow ships first, and you see it running before the engagement ends.

Straight answer on proof

We don't have a published financial services firm case study yet, and we won't borrow one from another industry to look like we do. The named engagements on our case studies page show the same system architecture in production - and on a call we'll walk through exactly what we'd build for your firm.

See the named case studies

How Deployment Works

The C.O.R.E. Method - from kickoff to production inside the first 100 days.

Capture - Process Audit & Integration Mapping
Orchestrate - Agent Design & Build
Run - Pilot on Real Data, Then Go-Live
Expand - New Workflows on the Same Foundation

That's the full arc of the method. This workflow's own go-live target is weeks 7-10 - the deployment FAQ below has the detail.

Frequently Asked Questions

How does the AI handle Reg BI best-interest documentation requirements in a generated proposal?

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. If your firm has been through an SEC examination, you already know why this matters: a consistent, documented disclosure in every proposal file is a significantly stronger posture than the variation that comes from advisor-by-advisor formatting.

Which CRM and portfolio accounting systems does the integration support?

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.

Can the tool generate proposals for different account types - taxable, IRA, trust - without separate manual versions?

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.

How does this interact with the e-signature workflow we already use for account opening forms?

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.

What happens when a prospect asks for a revised proposal with a different risk profile or investment strategy?

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. The target turnaround on a revision is hours, not days.

How do you handle the suitability documentation that needs to be in the file alongside the proposal?

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.

How long does it take to deploy?

The deployment plan targets go-live in weeks 7-10 - inside the first 100 days. Weeks 1-3 cover CRM (Redtail or Wealthbox), Orion/Addepar, and custodian integration, plus building the Reg BI disclosure template library with your Chief Compliance Officer. Weeks 4-6 train the system on your proposal formats and past deals. Weeks 7-10 go live with one advisor team and expand across the firm.

Ready to deploy AI for your financial services firm?

Stop staffing this workflow. Start owning the system that runs it - your people do the judgment work, the system does the process work.

In a 30-minute call, our AI architects will identify your top 3 automation opportunities and give you a concrete deployment timeline - no slides, no pitch deck.

30-minute call, no commitment
Go-live target: weeks 7-10
Runs inside your existing systems and permissions

Straight talk: we're not the right fit if you're under $10M in revenue - the math above won't pencil out yet. We'd rather tell you now than take the deposit.