Financial services operates under strict regulatory oversight, fiduciary duties, and compliance requirements that shape every use of AI. The highest-value applications accelerate the analysis, communication, and documentation work while licensed professionals retain all advisory judgment and regulatory compliance responsibility.

Important: AI cannot provide investment advice, make suitability determinations, or replace licensed financial professionals. All AI outputs must be reviewed by qualified professionals before use. Financial services AI use is subject to SEC, FINRA, OCC, and other regulatory guidance that evolves rapidly.

1. Wealth Management and Financial Planning

Client Financial Planning Analysis

Prompt: Help me analyze this client's financial situation.

Client profile (anonymized for AI analysis):
Age: 52 / 49 (married couple)
Income: Combined $285,000 (stable employment)
Assets:
- 401(k) accounts: $680,000 combined
- Brokerage: $145,000
- Home equity: $320,000 (value $620K, mortgage $300K)
- Cash savings: $45,000
- Rental property: Net equity $180,000

Liabilities:
- Mortgage: $300,000 at 3.25% (18 years remaining)
- No consumer debt

Goals:
- Retire at 60 (8 years)
- Fund two children's college (ages 16 and 13)
- $180,000/year retirement income target
- Long-term care planning

Current allocations:
- 401(k): 70% equity, 30% fixed income
- Brokerage: 85% equity (concentrated in employer stock 35%)

Analyze:
1. Retirement readiness (can they hit $180K/year at 60?)
2. College funding gap assessment
3. Concentration risk (employer stock)
4. Asset allocation age-appropriateness
5. Mortgage payoff vs. invest decision
6. Key risks to their plan

Note: This analysis is for internal advisor use only — not for direct 
client distribution without advisor review and suitability analysis.

Investment Proposal Writing

Prompt: Draft an investment proposal for this client meeting.

Client: Corporate executive, age 45, $2.5M liquid assets
Risk tolerance: Moderate-aggressive (7/10)
Time horizon: 15-20 years to retirement
Tax situation: High income (37% bracket), significant RSU vesting

Investment strategy proposed: 
- 70% equity (diversified: US large cap 40%, international 20%, small cap 10%)
- 15% alternatives (private credit, real assets)
- 15% fixed income (tax-efficient: municipal bonds)
- Tax-loss harvesting strategy
- RSU sale schedule (systematic liquidation to reduce concentration)

Write proposal draft:
1. Executive summary (1 paragraph — what we're proposing and why)
2. Current portfolio assessment (what we see and the gaps)
3. Proposed strategy overview
4. Asset allocation rationale (why these allocations for their situation)
5. Tax optimization approach
6. RSU management recommendation
7. Expected outcomes (risk-adjusted return range, not a guarantee)
8. Next steps

Compliance note required: "Past performance does not guarantee future results. 
This proposal is for discussion purposes and requires suitability determination."

Client Meeting Preparation

Prompt: Prepare me for this quarterly review meeting.

Client: Long-term client, 15-year relationship
Portfolio: $1.8M, 65% equity / 35% fixed income
Last quarter performance: Portfolio -2.3% vs. benchmark -4.1%
YTD: +6.8% vs. benchmark +5.2%

Client concerns (from last meeting notes):
- Worried about recession timing
- Asking about AI stock concentration in current portfolio
- Spouse recently retired — cash flow planning needed
- Interest in ESG options "for grandchildren"

Market context this quarter:
- Fed held rates (2 cuts expected next year)
- AI sector rotation (tech up, then pullback)
- Credit spreads widening slightly
- GDP growth 2.1% (below trend but positive)

Prepare:
1. Performance narrative (how to frame -2.3% in context)
2. Recession discussion talking points (honest, not alarming)
3. AI concentration discussion (fact-based response)
4. Cash flow analysis prep questions
5. ESG/values-based investing overview (what options we have)
6. 3 questions to ask the client that I might not think to ask
7. Key decisions or action items to bring to this meeting

2. Banking and Credit Analysis

Credit Memo Writing

Prompt: Write a credit memo for this commercial loan request.

Borrower: Meridian Manufacturing LLC
Request: $4.5M term loan (5-year, monthly amortization)
Purpose: Equipment acquisition (CNC machining centers)
Collateral: Equipment (appraised at $5.8M), first lien; personal guarantee

Financial summary (last 3 years):
Revenue: $12.1M / $14.3M / $16.8M (FY2023/2024/2025)
EBITDA: $1.42M / $1.87M / $2.31M
Debt service coverage: 1.68x / 1.92x / 2.14x (improving)
Current ratio: 1.8 / 1.9 / 2.1
Leverage (Debt/EBITDA): 2.9x / 2.4x / 2.1x (improving)

Industry: Precision manufacturing, automotive supply chain
Key customer concentration: 3 customers = 62% of revenue (risk factor)

Management: Founder (age 58, 25 years experience) + son (age 32, CFO)

Write credit memo:
1. Transaction summary
2. Borrower overview and industry context
3. Financial analysis (trend analysis, key ratios, comparison to industry)
4. Risk assessment:
   - Credit strengths (list 3-4)
   - Credit weaknesses/mitigants (list 3-4)
   - Key risks to watch
5. Collateral analysis
6. Structure recommendation
7. Recommendation: Approve / Approve with conditions / Decline

Format: Standard commercial credit memo format

Loan Covenant Monitoring

Prompt: Analyze this covenant compliance situation.

Loan: $4.5M term loan to Meridian Manufacturing
Covenants in credit agreement:
1. Minimum DSCR: 1.25x (measured quarterly)
2. Maximum leverage: 3.5x Debt/EBITDA (measured annually)
3. Minimum liquidity: $300K cash at quarter-end
4. Customer concentration: No single customer > 40% of revenue
5. Annual audited financials required within 90 days of fiscal year end

Q3 2025 reported results:
- DSCR: 1.21x (VIOLATION — below 1.25x minimum)
- Leverage: 2.8x (compliant)
- Cash: $412,000 (compliant)
- Customer concentration: Top customer = 38% (compliant — close to limit)
- Audited financials: Delivered on time (compliant)

DSCR shortfall analysis:
One-time equipment repair expense ($180K) impacted Q3 EBITDA
Without repair expense: DSCR would be 1.38x
Borrower explanation: Equipment failure, insurance claim filed, 
                       expects reimbursement in Q4

Help me:
1. Assess severity of this violation (technical vs. material)
2. Draft waiver request analysis (should we recommend waiver?)
3. Write the violation notification letter to borrower
4. Recommended conditions for any waiver granted
5. Monitoring actions going forward

3. Regulatory Compliance and Reporting

BSA/AML Suspicious Activity Report Preparation

Prompt: Help me document this suspicious activity pattern.

NOTE: This is for internal SAR preparation documentation only.
Final SAR must be completed by compliance officer.

Account: Business checking account (LLC, 3 years old)
Pattern identified by monitoring system:

Transactions flagged:
- 45 cash deposits in 90 days: $9,500-$9,800 each (structuring pattern)
- Total cash deposited: $416,000
- Withdrawals: Wire transfers to 3 overseas accounts (UAE, Mexico, Panama)
- Prior 12 months: 4 similar deposits, no wire transfers
- Account purpose (stated): Retail grocery distribution

Red flags:
- Classic structuring pattern (just below $10K CTR threshold)
- Wire transfers to high-risk jurisdictions
- Account activity inconsistent with stated business purpose
- No offsetting business expenses (payroll, rent, suppliers)
- Wire beneficiaries are individuals, not businesses

Help me structure the narrative section:
1. Summary of suspicious activity
2. Timeline of key transactions
3. Why this activity is suspicious (specific red flags)
4. Customer due diligence conducted
5. Relevant typology (structuring + layering)

Required: Compliance officer review before filing. This is drafting support only.

Regulatory Examination Preparation

Prompt: Help me prepare for this regulatory examination.

Regulator: OCC (Office of the Comptroller of the Currency)
Examination type: Community Reinvestment Act (CRA) examination
Examination window: March 2026

Our CRA assessment area: Metro area, 3 counties
Bank size: Small bank (assets < $600M)

What OCC will evaluate:
1. Lending test: Loans to low- and moderate-income borrowers and areas
2. Community development loans and investments
3. Small business lending in our assessment area

Our performance data to organize:
- HMDA data: Home Mortgage Disclosure Act (mortgage lending by geography, income)
- Small business loans: Volume by census tract income level
- Community development loans: $3.2M in affordable housing, $1.1M CDFI investment
- Assessment area maps: Required for submission

Help me:
1. Organize the key data points examiners will request
2. Draft the narrative of our community development activities
3. Identify potential weaknesses in our data
4. Prepare responses to common CRA examination questions
5. Calendar: What to prepare in the 90 days before examination

Note: All regulatory representations require compliance and legal review.

4. FinTech and Digital Banking

Product Requirements for Financial Features

Prompt: Write product requirements for this banking feature.

Feature: AI-powered spending insights for mobile banking app
Target users: Consumer checking account holders (app users)
Regulatory context: Must comply with Regulation P (privacy) and CFPB guidance

Feature description: Show users AI-generated insights about their spending
Example insights:
- "Your grocery spending increased 23% this month vs. your 3-month average"
- "You have 4 subscriptions you haven't used in 30+ days"
- "At your current savings rate, you'll reach your $5,000 goal in 4 months"

Requirements to document:
1. User story (who, what, why)
2. Functional requirements (what the feature does)
3. Data requirements (what data is needed, retention rules)
4. Privacy requirements (Reg P notices, opt-out mechanism)
5. Fair lending considerations (no redlining, discriminatory outputs)
6. Explainability requirements (can users understand why they see an insight?)
7. Accuracy requirements (when is an insight misleading?)
8. Accessibility (WCAG 2.1 compliance)
9. Non-functional: performance, availability

Format: Standard PRD format for engineering team

Customer Service Script Development

Prompt: Write customer service scripts for these financial scenarios.

Scenario 1: Customer calls about a disputed transaction

Script structure:
- Opening: Empathetic, not defensive
- Verification: Secure authentication questions (placeholder)
- Investigation: What reps ask to understand the dispute
- Resolution options: Provisional credit, investigation, denial path
- Next steps: Timeline, follow-up communication
- UDAP compliance: No misleading statements about dispute resolution

Scenario 2: Customer calls about a denied loan application

Script structure:
- Empathetic opening
- Adverse action compliance: Can reference denial reasons but not advise
- Credit counseling referral (required ECOA reference)
- What customers CAN do: Request free credit report, CFPB contact info
- What reps CANNOT say: Cannot promise approval, cannot provide credit advice
- Escalation: When to transfer to lending officer

Regulatory note: Scripts must be reviewed by compliance before deployment.
Include placeholders for compliance language requirements.

5. Risk Management and Stress Testing

Loan Portfolio Stress Testing

Prompt: Help me design a loan portfolio stress test.

Portfolio: Community bank, $280M loan portfolio
Composition:
- Commercial real estate: 48% ($134M)
- Commercial and industrial: 22% ($62M)
- Residential mortgage: 18% ($50M)
- Consumer: 12% ($34M)

Stress scenarios to model:
1. Mild recession: GDP -1%, unemployment +2%, CRE values -15%
2. Moderate recession: GDP -2.5%, unemployment +4%, CRE values -25%
3. Severe recession: GDP -5%, unemployment +7%, CRE values -35%

Help me structure:
1. Loss rate assumptions by segment and scenario
2. Capital impact calculation framework
3. Liquidity impact (deposit outflows by scenario)
4. ALLL (Allowance for Loan and Lease Losses) impact
5. Presentation format for Board risk committee
6. What conclusions we should draw about capital adequacy

Regulatory context: Based on regulatory guidance for community bank stress testing.
Note: Actual stress test requires model validation and management review.

AI tools in financial services deliver the most value as analysis accelerators and documentation assistants — they compress the time from raw data to structured output so financial professionals can focus on the client relationships, regulatory judgment, and fiduciary decisions that require licensed expertise. All AI-generated content in regulated financial contexts requires qualified professional review before client-facing or regulatory use.