AI for Finance

Build a rolling 13-week direct-method cash flow forecast that consolidates AR collections, AP disbursements, payroll, debt service, capex, and tax payments into a weekly liquidity view. Output includes opening-to-closing cash reconciliation, minimum-cash-cushion tracking, variance commentary versus prior forecast, and early warnings for covenant or liquidity stress.

Build a fully integrated, tied-out 3-statement financial model (Income Statement → Cash Flow Statement → Balance Sheet) from a target's historical filings and a forward assumption set. Output includes a clean historical restate, a 5-year forecast with a consistent driver logic, a working-capital and PP&E roll-forward, a debt and interest schedule, and a balance-sheet check that ties to zero in every period. This skill is the upstream companion to the DCF Valuation Builder, LBO Model Builder, and Accretion/Dilution Analyzer — all of which assume a 3-statement foundation exists.

Evaluate whether an announced or contemplated M&A transaction is accretive or dilutive to the acquirer's earnings per share. Output covers a sources-and-uses build, a pro forma income statement, an EPS bridge that isolates every moving piece (standalone target net-income contribution, synergies, financing cost, foregone interest income, new-share dilution, goodwill / intangible amortization, blended tax-rate adjustment), a break-even synergy calculation, sensitivity grid and tornado, financing-mix comparison, and an audience-shaped recommendation framework — on both GAAP and cash-EPS bases — with the regulatory and disclosure overlay that the firm's deal posture (acquirer CFO / board / IC / IB pitch / sell-side analyst / risk arb desk / fairness opinion / internal IR) requires.

Produce audit-ready budget-to-actual variance commentary for a full FP&A cycle — monthly close, quarterly review, rolling forecast, or board-package prep. The skill decomposes each material variance into price, volume, mix, timing, and rate components, labels each variance as run-rate vs. one-time, connects the GL-level change to the operating narrative, and outputs audience-specific commentary (controller memo, CFO deck, audit-committee read-ahead, board pack, or rolling-forecast update). Complementary to `month-end-close-flux-commentator.md` (which examines period-over-period change at the GL-account level for close) — this skill examines plan vs. actual at the P&L / functional-department level with forward-looking reforecast implications.

Draft a complete, buyer-facing Confidential Information Memorandum (CIM) for a sell-side M&A or private-placement process from a target company's diligence file. Output is a structured, IB-grade narrative document — Executive Summary, Investment Highlights, Industry Overview, Company Overview (history / products / customers / operations / management), Financial Performance & Projections, Growth Strategy, Risk Factors, Transaction Overview, Process & Timing — designed to land in qualified buyer / sponsor inboxes after NDA execution and to drive an IOI by the bid date. Differs from Investment Memo Drafter (which is buy-side, IC-facing): this is sell-side, prospective-buyer-facing, and its job is to create buyer competition while remaining fully truthful.

Produce an investor-ready, auditor-defensible cycle pack for a private-fund capital call or distribution. Output is a structured deliverable — investor-level commitment ledger, called / unfunded / recallable tracking, notice mechanics, default-provision evaluation, waterfall walk (return-of-capital → preferred return → catch-up → carry), clawback test, recall and recycling provision treatment, equalization and side-pocket allocation, payment instructions and KYA / mandate posture for any agentic-payment leg, exception log, and four-eyes sign-off matrix — designed for the fund-administration team to compute, the CFO / COO to sign, the GP-LPAC liaison to communicate, and the auditor to test. Differs from `fund-administration-nav-reviewer.md` (which strikes NAV and partner-capital roll-forward as the back-office close output); this skill is the LP-level cash-flow allocation lifecycle that consumes a struck NAV and produces the call / distribution mechanics, regulatory notices, and audit trail. Differs from `loan-covenant-compliance-monitor.md` (which monitors a borrower's covenant pack, not a fund-investor cycle).

Build a peer-group trading-multiples analysis ("public comps") that frames where a target company trades relative to its cohort on revenue, EBITDA, earnings, and growth-adjusted multiples. Output covers a defended peer-set construction (with named inclusion / exclusion rationale), a fully calendarized multiples table, central-tendency statistics for both the full set and a "tight peer" subset, peer-fit commentary that explains every premium / discount, a growth-adjusted view, an implied valuation range with both EV and per-share figures, audience-matched framing for the consuming workflow (IC read-ahead / fairness opinion / pitch book / coverage initiation / portfolio monitoring / pre-trade triangulation), and the regulatory and compliance overlay that the firm's posture (sell-side ER / buy-side / IB advisory / PE sponsor / corp-dev) requires.

Draft a complete, audit-ready commercial credit memorandum from a borrower's financial statements, loan request, and collateral package. Output is a structured, section-by-section memo suitable for commercial banking credit committee or SBA 7(a) / 504 / Express underwriting review: Borrower Overview, Financial Analysis (spreads, ratios, trend), Industry & Competitive Position, Repayment Capacity (DSCR, global cash flow), Collateral Analysis, Guarantor Analysis, Loan Structure & Covenants, Risk Assessment, and Recommendation. Covers C&I, CRE, SBA, equipment finance, and ABL loan types with type-specific sections and ratios.

Produce a defensible discounted cash-flow valuation from a target's historical financials, management guidance, and comparable market inputs. Output includes an explicit free-cash-flow build, WACC derivation, terminal-value treatment, sensitivity grid, and a per-share (or enterprise-value) implied range with commentary on the primary valuation drivers.

Extract financial metrics, guidance revisions, management commentary, and analyst-Q&A signal from earnings call transcripts and produce a written brief tailored to your firm's research process — house sentiment / conviction taxonomy, distribution audience (PM / IC / sector model / trading desk / compliance), thesis-update markers, and post-call action handoffs.

Produce written documentation for an existing financial model — assumptions, methodology, data sources, sensitivities, structural guide, limitations, and (where applicable) a model-risk-management package — tailored to the firm's modeling standards, the model's audience, and any regulatory framework (SR 11-7 for banks; ORSA for insurance; equivalent internal validation for large RIAs / asset managers / insurers / multi-strategy funds). Output is audit-ready, onboarding-ready, or IC/board-ready depending on selection.

Produce a reviewer-grade Net Asset Value (NAV) and reconciliation package for a hedge fund, private fund, fund-of-funds, or separately-managed-account vehicle. Output is a structured back-office deliverable — Trial Balance, Position Reconciliation (book vs. prime / custodian / counterparty), Pricing Audit (per-instrument with source and method), Cash Reconciliation (book vs. bank), Income & Expense Accruals, Fee & Carry Calculation, Capital Activity (subscriptions / redemptions / capital calls / distributions), Allocator-Level Reporting (per investor / class / series), Investor Statements, and Exception Log — designed for the fund administrator (in-house or outsourced) to certify, the CFO / COO to sign, and the auditor to test. Differs from Trade Lifecycle Tracker (which is the front-/middle-office trade-state monitor): NAV review is the back-office close that produces the official fund accounting record.

Perform a systematic sub-ledger-to-general-ledger reconciliation across every balance sheet account and key income statement account requiring substantiation at month-end or quarter-end close. For each account in scope, the skill matches source-system records to the GL balance, isolates and classifies open items, proposes resolution (journal entry, reclassification, write-off, or escalation), and produces a substantiated account-reconciliation workpaper trail that satisfies internal-audit and external-auditor standards. Distinct from `month-end-close-flux-commentator.md`, which produces period-over-period narrative commentary on drivers of change; this skill produces the underlying account-level balance substantiation that proves every ending balance is complete and accurate. Designed to support the 2026 transition from spreadsheet-based manual tie-outs toward AI-agent-driven auto-certification, exception routing, and touchless journals — while keeping every proposed action clearly flagged for human controller review before posting.

Turn deal notes, research, financial data, and diligence findings into a written investment memorandum that fits the firm's specific investing strategy (PE buyout / VC / growth equity / credit / public long / public short / real estate / co-investment / RIA portfolio addition), respects the firm's IC voting and sizing conventions, and lands with the named audience (IC partners, LP, CCO, client). Output is an IC-ready memo with a clear thesis, calibrated risk assessment, valuation walk, and named-recommendation in the firm's house taxonomy.

Maintain the persistent state of an investment thesis across its full life cycle — from initial screen through monitored position to closed trade with postmortem. Output is a thesis ledger that records the original buy / sell case, the explicit variables the analyst is tracking, the conviction history, the catalyst calendar, and a chronological evidence log of confirmations / challenges / resets — so the next time the analyst, PM, or IC opens the file they can see at a glance whether the thesis is on-track, at-risk, or invalidated, and why. Differs from a single-cycle output (Morning Notes, Earnings Call Summarizer): this is the long-running thesis-of-record that those single-cycle outputs feed into.

Build a defensible leveraged buyout model from a target's financials, a sponsor's proposed deal terms, and a financing structure. Output includes a sources-and-uses table, tranche-by-tranche debt schedule with cash sweep, 5-year operating projection, returns waterfall (IRR and MOIC across hold periods), credit metrics trajectory, and a sensitivity grid on entry multiple, exit multiple, and leverage. This is the companion intrinsic-lens to the DCF skill for PE deal evaluation.

Run a borrower's most-recent reporting package against the credit agreement's covenant grid, calculate every financial covenant (FCCR, leverage, DSCR, minimum EBITDA, minimum tangible net worth, capex limit, liquidity, lockbox tests, financial-reporting timeliness) with the contract definition rather than the textbook definition, project headroom forward through the next two reporting periods, surface any breach or trip-the-cushion situation with a recommended action, and produce a portfolio-monitoring memo that the relationship manager and the credit-administration team can sign. Output is a structured covenant-compliance certificate plus a portfolio-level dashboard view that captures the post-close state of every loan in the book — distinct from origination (handled by Credit Memo Drafter) and from a one-off restructuring memo. Covers C&I term loans, revolvers, CRE mortgages, SBA 7(a) / 504, equipment finance, ABL borrowing-base loans, syndicated leveraged loans, direct-lending unitranche, and HVCRE.

Compile a structured sector or sub-industry brief that sizes the market, maps the competitive landscape, catalogs recent transactions and capital flows, surfaces regulatory and macro catalysts, and synthesizes 3–5 actionable investment or strategic implications — written in the firm's voice, scoped to the firm's coverage strategy, and shaped to the audience that will read it. Produces a brief suitable for coverage initiations, deal-sourcing memos, pre-meeting prep, IC read-aheads, CIM industry sections, and pitch-book appendices.

Generate account-level flux (period-over-period) commentary for the month-end close process. For every GL account exceeding a materiality threshold (absolute dollar, % change, or both), the skill identifies the drivers of the change, proposes the narrative explanation a controller would write, and flags items requiring further investigation or a journal-entry adjustment. Complementary to `budget-variance-analyzer.md`, which examines plan vs. actual at a summary level; this skill examines period-over-period change at the GL-account level with the narrative output that feeds the close file, MD&A footnotes, and the CFO review deck.

Draft a concise, desk-ready morning note for a sell-side or buy-side analyst's coverage universe, written in the firm's voice, scoped to the firm's coverage strategy, and shaped to the audience that will read it before the open. Output covers overnight and pre-market developments by name, a catalyst calendar for the day and the week ahead (earnings, investor days, regulatory actions, data releases, industry events), trade-idea callouts using the firm's house conviction taxonomy, and a thesis-update block that promotes confirmed / pending / challenged / new markers into the persistent investment-thesis ledger. Designed to be skimmed in under four minutes by a trading desk, PM, or sales force.

Ingest a private-equity / private-credit / real-asset / continuation-vehicle data room (or any structured corpus of deal documents), classify and index every document, extract structured deal terms against an investment-criteria checklist, cross-check claims across sources, and produce a citation-linked diligence memo that the deal team can query in natural language. Distinct from a one-pager checklist: the workflow here is multi-document corpus synthesis — claim verification, contradiction detection, missing-evidence sweep, and deal-risk flagging at the corpus level, not at the single-document level. Output is sponsor-segment-shaped (LBO buyout / growth equity / venture growth / private credit / continuation vehicle / fund-of-funds / co-investment / distressed-credit / infrastructure / real-estate / secondary), audience-shaped (IC read-ahead / Operating Partner brief / GP committee / LP advisory committee / banker / management diligence / R&W underwriter / confirmatory close packet), and Compliance-Layer-shaped (HSR / CFIUS / sector-antitrust / FCPA / OFAC / ITAR-EAR / GDPR / sector-licensing / labor-law / ESG / anti-money-laundering). Every factual claim is linked back to an evidence ledger; every conclusion is auditable; every contradiction is surfaced.

Draft a complete sell-side pitch book, buy-side pitch book, or strategic-alternatives review for an investment-banking coverage team. Output is a structured, deck-ready narrative — Cover & Disclaimers, Executive Summary, Bank Credentials & Relevant Experience, Situation Assessment, Strategic Alternatives, Process & Timing, Valuation Football-Field, Buyer / Target Universe, Indicative Capital Structure, Process Recommendations, Appendix — designed to be delivered to a board, owner, sponsor, or executive team to win an advisory mandate or to frame a strategic decision. Differs from CIM Drafter (which is the post-engagement transaction document for qualified buyers): the pitch book is the firm-marketing / mandate-winning / decision-framing document delivered *before* exclusivity is signed.

Design, run, and document adverse-scenario stress tests across five common contexts: (1) bank / depository supervisory stress tests (CCAR / DFAST severely-adverse, IRRBB for interest-rate risk in the banking book, LCR / NSFR for liquidity, CECL qualitative overlay), (2) RIA / asset-manager client-portfolio stress (drawdown, rate shock, credit-spread widening, liquidity crunch), (3) corporate FP&A downside-planning and covenant-cushion testing, (4) insurance ORSA / capital-adequacy scenarios, and (5) PE / portfolio-company value-at-risk. Output is a documented scenario set, a transparent shock-to-impact walk (direct effect → second-order → third-order), a stressed-metric table, severity-rated vulnerabilities, and prioritized mitigation actions — structured to satisfy SR 11-7 model-risk-management documentation requirements where the model-governance context applies.

Track an order from inception through settlement across the full broker-dealer / asset-manager trading workflow — capturing order genesis, routing, execution, allocation, confirmation, affirmation, clearance, and settlement — with explicit pre-trade and post-trade compliance checkpoints, FIX-protocol message handoffs, exception logging, and a settlement-fails register. Output is a structured trade-lifecycle ledger for a middle-office or back-office team that catches breaks while they are still cheap to fix and feeds clean state into reconciliation, P&L, and regulatory reporting. Covers equities, options, fixed income (cash and repo), futures, and listed FX with venue- and asset-class-specific state machines.

Produce a complete advisor meeting-prep package tailored to the specific meeting type — portfolio review, prospect discovery, annual financial-plan review, onboarding, referral introduction, centers-of-influence (COI) / professional-partner meeting, or ERISA / 401(k) plan-sponsor review. Output includes a one-page client snapshot (current holdings, plan status, goals, risk, tax posture, family / entity structure, cash needs), a timed agenda paced to the meeting length, tailored talking points grounded in the client's actual portfolio and life events, anticipated client questions with compliance-aware answers, a cross-sell / deepening opportunities scan, discovery questions mapped to the firm's planning framework, and a compliance block (KYC refresh status, ADV / CRS delivery tracker, Reg BI care-documentation prompts, suitability refresh, Advisers Act Rule 204-2 books-and-records), plus a CRM handoff block that structures post-meeting documentation for the advisor's follow-up.

Draft a clear, compliant, client-ready portfolio update covering period performance, allocation and positioning changes, benchmark context, contributions and withdrawals, plan-progress markers, and forward outlook — written in the firm's voice, scoped to the account type (taxable / IRA / trust / 529 / institutional / UHNW family-office), and shaped to the audience (individual client / household / committee / consultant). Produces a narrative that an advisor can review, personalize, and send with confidence — with the disclosures, performance-presentation conventions, and tone required for client-facing wealth-management communications.

Build a defensible household financial plan — most often a retirement plan, but extensible to college funding, special-needs, business-sale event, or multi-goal household — anchored on a Monte Carlo simulation of portfolio outcomes against the household's lifetime cash-flow needs. Output is a structured plan deliverable with: goal stack and quantified shortfall / surplus, Social Security claiming-strategy comparison, retirement-paycheck mechanics (withdrawal rate, sequence, location, RMD-aware order), tax-aware withdrawal sequencing, healthcare and long-term-care overlay, Monte Carlo success-probability table with sensitivity, and a written plan summary tailored to the audience (client letter / advisor working file / committee read-ahead). Distinct from Client Portfolio Update (which is reporting against a plan) and Tax-Aware Rebalancer (which is execution against an allocation) — this skill produces the plan itself.

Size, structure, and document an explicit hedge or protection overlay sitting on top of an investor's strategic asset allocation — distinct from the policy that authorizes the overlay (Investment Policy Statement Generator), the rebalance discipline executed against the policy (Tax-Aware Portfolio Rebalancer), and the loss-harvest economics overlapping the same lots (Tax-Loss Harvesting Identifier). Output is a versioned, audience-matched hedge-overlay file with: protection objective and trigger thresholds reconciled, instrument selection (protective put / put spread / collar / inverse-ETF / short-futures / variance swap / interest-rate swap / cross-currency swap / FX forward / non-deliverable forward / sector or factor hedge / tail-risk overlay / catastrophe-bond-adjacent), notional / coverage-ratio sizing, cost budget (premium-as-percent-of-portfolio cap), greeks targeting where applicable (delta / gamma / vega / theta / rho), unwind / roll / monetization rules, ongoing effectiveness measurement (rolling tracking-error, drawdown-recovery, hit-rate-of-protection-vs-cost), tax-overlay (§1259 constructive sale / §1092 straddle / §988 currency / §475(f) trader / wash-sale interaction with Tax-Loss Harvesting Identifier), accounting-overlay (ASC 815 / IFRS 9 hedge designation, hedge effectiveness assessment, OCI vs. earnings classification), and audience-matched committee package and disclosures. Built to satisfy the IPS Permitted-Restricted-Prohibited list, the SEC Marketing Rule 206(4)-1 substantiation discipline (anticipating SEC 2026 examination AI-tool focus), GIPS Overlay Guidance (effective January 1 2022), CFTC commodity-pool-operator exemptions where applicable, MiFID II RTS 6 / ESMA position-limit framework for cross-border, and the controlling fiduciary standard (Advisers Act §206 / ERISA §404(a) / UPMIFA / NAIC RBC and ALM / state-trust prudence). Designed to anticipate the 2026 transition from periodic hedge reviews to continuous real-time hedge-effectiveness monitoring driven by ML and dynamic hedge-ratio optimization, while preserving the IPS-as-policy primacy that the overlay never silently displaces.

Codify a household's, fiduciary's, institution's, or fund's investment policy into a defensible IPS document — the policy itself, distinct from the plan that drives it (Financial Plan Constructor) and the rebalance / harvest execution that follows it (Tax-Aware Portfolio Rebalancer / Tax-Loss Harvesting Identifier). Output is a versioned, signed-or-signable IPS deliverable with: investor profile and risk tolerance, return objective and risk tolerance reconciled (return-required vs. return-able-to-take), liquidity and time-horizon constraints, tax and legal constraints, unique circumstances, strategic asset allocation with target weights and corridor bands, permitted / restricted / prohibited investments, rebalance discipline, manager / vehicle / cost discipline, monitoring cadence and review triggers, governance and authority, fiduciary scope and standard of care, and audience-matched signature block. Built to satisfy CFA Institute IPS guidance, CFP Board Practice Standards, ERISA §404(a) for plan fiduciaries, UPMIFA for endowments, OCIO governance for institutions, family-office / individual / institutional / plan / non-profit / municipal-pool / Taft-Hartley / insurance-general-account audiences. Designed to anticipate Marketing Rule 206(4)-1 scrutiny, SEC 2026 exam-priority focus on AI-marketing claims, and DOL Retirement Security Rule / PTE 2020-02 for any rollover-into-the-policy embedded.

Generate a tax-optimized rebalancing plan for a client household that brings the portfolio back to its target allocation at the lot level. Output includes a drift diagnosis by asset class and holding, a ranked trade list that prioritizes wash-sale-clean loss harvesting and minimum-gain sales, an asset-location review across taxable and tax-advantaged accounts, a projected tax cost or benefit of the plan, and an advisor-ready rationale suitable for a client letter or IC meeting note.

Scan a client's taxable portfolio for positions trading below cost basis, identify candidate harvest trades that realize losses without triggering the IRC §1091 wash-sale rule (or related-party / spousal aggregation), and propose replacement securities that preserve target exposure with auditable tracking-error commentary. Output is a tax-aware, IPS-aware deliverable — Harvest Candidate Table with lot-level evidence, Wash-Sale Screen Results with related-account aggregation, Tax-Benefit Estimate netted against YTD realized gains and the §1211 individual-loss-deduction cap, Replacement Plan with substantially-identical-risk commentary, Consolidated Trade List ready for the trading desk, 30-Day Wash-Sale Calendar with re-entry windows and dividend-reinvestment / scheduled-contribution suppression, and a Client-Facing Note — designed for the advisor to discuss, the trading desk to execute, the operations team to settle, and the tax preparer to reconcile to the year-end 1099-B / 8949. Audience-shaped per account type (taxable individual / joint / trust / 529 / institutional / SMA / direct-indexing / model-portfolio / municipal-bond-ladder) and per the firm's tax-aware-rebalancing posture.

Inventory, scope, and assess the SOX-relevant control posture of AI / ML / LLM systems that touch financial reporting — ICFR-relevant agents, embedded model outputs that flow into the GL, autonomous reconciliation / journal-entry / disclosure / consolidation agents, and copilots whose outputs influence what hits the financial statements. Output is a structured AI-controls assessment with: in-scope inventory, ICFR-relevance ranking, control-design gap log against the COSO 2013 framework and the AICPA / PCAOB AS 2201 expectations, evidence-collection plan, deficiency severity (deficiency / significant deficiency / material weakness) with rationale, and remediation playbook with named owners. Designed for the SOX program team, internal audit, controllership, and the AI-governance committee at a public-company filer or a heavily-regulated private filer.

Operate on the **case queue upstream of per-alert disposition**: take a working set of open AML / financial-crime cases (transaction-monitoring alerts, sanctions hits, adverse-media surfaces, §314(a) inbound, peer-bank §314(b) responses, internal referrals), assemble all relevant evidence across the bank's core systems (CIF, payments, wires, cards, deposits, lending, branch, KYC EDD, prior SARs, sanctions list snapshots), align each case to one or more BSA/AML typologies, score each case for risk × evidentiary strength × investigator effort, and produce an investigator-ready dossier per case plus a ranked queue. Distinct from `sanctions-aml-alert-reviewer.md`, which dispositions a single alert and drafts the regulatory deliverable; this skill is the **pre-disposition triage and evidence-assembly layer** that compresses the first hour of investigator workflow into a structured dossier the analyst can open, review, and act on. Designed to support the 2026 transition from manual case-by-case investigator pulls toward AI-agent-assisted evidence assembly with typology alignment, false-positive de-prioritization, and case-prioritization — while preserving the BSA officer's and line investigator's full authority over disposition decisions and SAR filings.

Produce a BSA-officer-grade transaction-monitoring tuning memo for a bank, broker-dealer, money-services business, or fintech / crypto VASP. Output is a structured calibration deliverable — Coverage Map (typology → rule / model coverage), Threshold Calibration (per rule with above-the-line / below-the-line testing and false-positive / true-positive yield), Segmentation Refresh (customer-risk and behavior segments), Scenario / Typology Refresh (with regulatory-advisory and enforcement-action source mapping), Model-Validation and Tuning Backtest, Governance Memo (BSA officer / model-risk / audit / regulator), and Implementation Plan with rollout, parallel-run, and reversion criteria — designed to be reviewed by the BSA officer, model-risk management, internal audit, and the regulator. Differs from the Sanctions / AML Alert Reviewer (which dispositions individual alerts and drafts SAR / OFAC reports): this skill calibrates the monitoring system itself.

Run a new-client account opening through a structured Know-Your-Customer (KYC) / Customer Identification Program (CIP) / Customer Due Diligence (CDD) workflow — collecting and validating the four mandatory CIP data points, performing beneficial-ownership identification, screening every party against sanctions / PEP / adverse-media lists, completing a risk-rating scorecard, drafting any required exception or escalation memos, and producing the final account-opening package the supervising principal can sign. Output is a structured onboarding file that closes the loop from prospect ID-collection through booked-and-funded account, with every check timestamped, every exception flagged with proposed disposition, and every step retained per the firm's books-and-records obligations. Covers retail brokerage (Reg BI), RIA (Advisers Act), commercial banking (BSA/AML), private banking / UHNW, trust accounts, institutional / corporate accounts, and entity / beneficial-ownership review.

Review a draft regulatory filing against the requirements for its specific form, flag missing or inconsistent disclosures, cross-check internal consistency (numbers, dates, counterparties), and produce a reviewer checklist with severity ratings and suggested remediation language. Covers the most common SEC, FINRA, state, and international filings encountered in RIA, broker-dealer, fund, and corporate-finance workflows. Output is decision-support for a compliance officer, CCO, or filing specialist — not a substitute for legal review.

Disposition a sanctions-screening hit, an AML transaction-monitoring alert, an OFAC name-or-transaction match, or a high-risk-customer behavior anomaly through a structured, audit-defensible review workflow — and where the disposition is "true match" or "suspicious activity," draft the corresponding regulatory deliverable: OFAC blocked-property / rejected-transaction report, USA PATRIOT §314(b) information-sharing request, FinCEN SAR (suspicious activity report), or internal escalation memo for the BSA officer. Output is a per-alert review file that captures the alert, the analyst's investigation steps, the evidence weighed, the disposition with rationale, and the downstream filing or action — distinct from onboarding (handled by KYC / CIP Onboarding Workflow) and from regulatory-filing review (handled by Regulatory Filing Checker). Covers OFAC name and transaction screening, AML rule-based alerts, behavioral anomaly alerts, adverse-media hits, §314(a) inbound responses, voluntary §314(b) outbound requests, and re-screen-after-list-update events.

Review post-trade activity for market-abuse risk, suspicious-trading patterns, and execution-quality outcomes — distinct from Sanctions / AML Alert Reviewer (which dispositions sanction- and AML-typology alerts), distinct from AML Monitoring Tuner (which calibrates the system that produces the alerts), and distinct from Trade Lifecycle Tracker (which monitors trade state from order through settlement). Output is a supervisor-grade surveillance and best-execution memo with: alert disposition log per market-abuse typology (insider trading / front-running / spoofing / layering / wash trade / marking the close / cross-market manipulation / pump-and-dump / momentum ignition / quote stuffing / banging the close / painting the tape / fictitious trading), best-execution outcome assessment with venue / counterparty / liquidity-seeker / smart-order-router analytics, regulatory-filing trigger determination (FINRA Rule 4530 / Form U4 disclosure / SAR-information protection / Form ADV item 9), supervisory escalation chain, root-cause analysis where a control gap produced the alert, remediation action with owner and deadline, and audience-matched commentary calibrated to broker-dealer / RIA / dual-registrant / asset-manager / market-maker / proprietary-trading-firm / introducing-broker / clearing-firm / digital-asset-broker / non-US-broker contexts. Built to anticipate FINRA / SEC / NY DFS / MSRB / CFTC examination focus on the $74M-of-$124M 2025 broker-dealer trade-surveillance enforcement signal and the SEC 2026 examination priorities including AI-and-emerging-technology, market-abuse, best execution, and Reg BI.

Turn rough notes, bullet points, or a dictated outline into a polished, compliance-aware email suitable for a regulated financial-services practice. Output covers the most common finance email types — client portfolio updates, fee or billing disclosures, trade confirmations and post-trade explanations, compliance notices, quarterly letters, prospect outreach, advisor-to-client follow-ups, KYC document requests, plan delivery cover notes, covenant-compliance acknowledgments, and internal memos — with the required disclosures, tone, recipient-shaped framing, and audit-friendly language that the finance industry expects. Output is shaped explicitly to the email type, recipient role, and the firm's regulatory capacity (RIA / BD / dual / bank / trust).

Turn raw meeting notes, a recording transcript, or dictated bullet points into a structured, audit-trail-ready summary tailored to the most common meeting types in a finance practice: investment committee (IC), portfolio / advisor-client reviews, compliance and CCO reviews, trading / operations huddles, partner and LP updates, deal / pipeline reviews, and sales / prospect discovery. Output separates decisions, open items, compliance flags, and action owners so nothing falls through the cracks and every decision has a defensible record.

Craft compliant, professional responses to public reviews on every venue a regulated financial-services firm actually faces — Google Business Profile, Yelp, Trustpilot, BBB, Glassdoor / Indeed (employer), advisor-directory sites (SmartAsset, WiserAdvisor, Paladin, Zoe Financial, NAPFA, FeeOnly Network, Bankrate), app-store venues (Apple App Store, Google Play) for client-facing finance apps, and lending-and-banking venues (BBB Better Business Bureau Credit Union / Bank Section, NerdWallet, Credit Karma, ConsumerAffairs, FCA-regulated UK venues for cross-border firms). Output is shaped explicitly to the venue, the review type (positive / neutral / negative / employee / suspected-fake / regulatory-complaint-adjacent / app-bug), and the firm's regulatory capacity (RIA / BD / dual / bank / trust / lender) — with the SEC Marketing Rule testimonial / endorsement framework, FINRA Rule 2210 retail-communications rule, Reg S-P client-privacy rule, Reg BI / fiduciary-care framing, BSA tipping-off rule (where the review hints at SAR-adjacent activity), FCRA / ECOA fair-lending overlay (for lenders), and platform-specific posting policies all baked in.