AI Suitability & Reg BI Review Automation

AI agents review trade and account recommendations against suitability standards, Reg BI obligations, and firm policies-flagging risk before the trade.

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100%

structured review at sample-review headcount

Reg BI care-obligation documentation

Pattern detection across advisor books

Live in 10-14 weeks

What You Need to Know

What Is suitability review in Financial Services?

Suitability and Reg BI review automation is an AI system that evaluates trade, account, rollover, and product recommendations against client profile, regulatory standards (FINRA 2111, Reg BI), and firm policy-producing structured suitability assessments and care-obligation documentation that regulators expect. It scales supervisory review without scaling supervisory headcount.

Signs You Have This Problem

5 Ways Manual Processes Are Costing Your Financial Services Firm

Compliance supervisors sample 5-15% of recommendations in depth-the rest get cursory review at best

Reg BI care-obligation documentation is the most common SEC examination finding

Problematic patterns across advisor books surface only after customer complaints-too late for proactive supervision

Variable annuity, rollover, and complex-product reviews are inconsistent because they depend on which supervisor sees them

Documentation gaps in examinations create deficiency findings that take months to remediate

01The Problem

Suitability review is an obligation that doesn't scale linearly with headcount. Every recommendation requires evaluating client profile, product features, alternatives reasonably available, and the firm's own suitability standards, and the documentation has to demonstrate that the analysis happened, not just that the recommendation was approved. Reg BI raised the bar substantially: the care obligation now requires structured comparison against alternatives, and the documentation gap is one of the most common findings in SEC examinations. The practical reality at most firms is uneven. Compliance supervisors review a sample of recommendations in depth and stamp the rest based on aggregate risk indicators. Variable annuity exchanges, rollover recommendations, and complex products get the attention they deserve. Routine recommendations get cursory review at best. Patterns across an advisor's book-the kind of patterns that drive enforcement actions when they eventually surface as customer complaints are visible only when someone goes looking for them, which usually happens after a complaint has already been filed. Meanwhile, examiners want to see consistent application of the firm's stated policies, structured documentation of care-obligation analysis, and evidence of ongoing supervision. The gap between what firms can produce manually and what examiners increasingly expect is widening every year.

02How We Solve It

Revenue Institute's Suitability & Reg BI Review Agent evaluates every trade, account, rollover, and product recommendation against the client's documented profile, regulatory standards, and your firm's own policies. It produces a structured suitability assessment with citations to the underlying client data, product disclosures, and policy provisions-the documentation regulators expect to see. For Reg BI's care obligation, the agent maintains your current product universe, evaluates each recommendation against reasonably available alternatives at the moment of recommendation, and documents the comparison. Routine recommendations within the client's documented profile flow through with documentation. Recommendations outside the profile, involving complex products, or triggering elevated-review criteria escalate to a supervisor with full context attached. The agent surfaces patterns across advisor books that warrant supervisor attention-concentration, unusual frequency, age-inappropriate risk, conflict patterns. It integrates with Schwab Advisor Center, Fidelity Wealthscape, Pershing NetX360, Salesforce Financial Services Cloud, Wealthbox, Redtail, and most mid-market wealth platforms. Compliance supervisors handle judgment cases and exception escalations; the agent handles volume and produces the structured documentation regulators expect.

The Business Case

Expected ROI for Financial Services Firms

Wealth management and broker-dealer firms deploying suitability automation typically expand supervisory review depth from 5-15% sample review to 100% structured review, without expanding headcount. Compliance supervisor capacity shifts from sampling to genuine judgment cases, exception handling, and pattern investigation across advisor books. Documentation depth in examinations improves materially. Most firms find that examiners specifically reference the structured care-obligation analysis and pattern-monitoring evidence as positive findings-shifting the examination tone from defensive to proactive. The avoidance of a single significant deficiency finding typically pays for the system many times over. For a firm with 50-500 advisors, suitability automation typically pays for itself in 6-12 months from compliance productivity alone. The risk-avoidance value-defending against enforcement actions, customer complaints, and arbitration awards that documentation gaps would otherwise enable is consistently the larger long-term return.

Built for Financial Services

Why Financial Services Firms Choose Revenue Institute

We don't sell AI software-we build production-grade AI systems that run inside your existing technology stack. 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.

Live in 10-14 Weeks

Rapid deployment focused on highest-ROI workflow first. You see measurable results before the full engagement closes.

How Deployment Works

From kickoff to production-what to expect at every phase.

Process Audit & Integration Mapping
Agent Design & Configuration
Pilot Testing with Real Data
Go-Live & Staff Enablement

Frequently Asked Questions

What does the agent review?

Trade recommendations, account-type recommendations, rollover recommendations, and product recommendations against the client's risk tolerance, investment objectives, time horizon, financial situation, and any other factors required by FINRA Rule 2111, Reg BI, and your firm's own suitability policy. It produces a structured suitability assessment with citations to the underlying client data and product disclosures.

How does it handle Reg BI's care obligation specifically?

Reg BI requires reasonable diligence, care, and skill in evaluating and comparing reasonably available alternatives. The agent maintains a current product universe, evaluates the recommendation against alternatives at the moment of recommendation, and documents the comparison-which is exactly the documentation gap most firms struggle to produce in examinations. The output is a structured care-obligation memo, not a generic suitability checkbox.

Can it identify problematic patterns across an advisor's book?

Yes. The agent surfaces patterns that supervisors should investigate-concentration in proprietary products, unusual rollover frequency, age-inappropriate risk profiles, or recommendations that consistently produce the highest commission for the advisor. These are the patterns that drive regulatory enforcement; surfacing them proactively is dramatically less painful than discovering them in a customer complaint.

Does it integrate with our trading platform and CRM?

Yes. We integrate with Schwab Advisor Center, Fidelity Wealthscape, Pershing NetX360, Salesforce Financial Services Cloud, Wealthbox, Redtail, and most mid-market wealth management platforms. The agent operates inside your existing supervisory workflow rather than asking firms to migrate.

How does it handle high-volume routine recommendations?

Risk-based prioritization. Routine recommendations within the client's documented profile-rebalancing within risk tolerance, standard product categories, no concentration concerns-flow through with documentation. Recommendations that fall outside the profile, involve complex products, or trigger any of the firm's elevated-review criteria escalate to a supervisor with the full context attached. Supervisors handle judgment cases; the agent handles volume.

What about variable annuities and complex product recommendations?

Complex products receive elevated review by default. The agent documents the suitability analysis specific to product features-surrender charges, riders, fee structure, tax treatment, and compares against alternatives the client could reasonably access. This is one of the highest-value applications because complex-product reviews are where most firms have the deepest documentation gaps.

How long does deployment take?

Most firms go live in 10-14 weeks. Weeks 1-4 cover platform integration and policy ingestion. Weeks 5-10 train the agent on your historical supervisory decisions and validate against known cases. Go-live in week 11-14 starts with one product category, typically equity and mutual fund recommendations, and expands to complex products and account types over the following month.

Ready to deploy AI for your Financial Services firm?

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.

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30-minute call, no commitment
Deployed in 10-14 weeks
ROI realized within 60-90 days