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AI AML Investigation: Evidence-Completeness Review Bundle
Use an evidence-completeness review bundle to test AI-assisted AML case summaries for source coverage, conflicts, uncertainty, and human sign-off.
Read articleSovereign AI Banking Deployment Boundary Attestation
Use a sovereign AI banking deployment boundary attestation to prove data paths, operator access, and reapproval triggers before production.
Read articleAI Investment Scam Checklist: Verify Before You Send
Use an AI investment scam checklist to document identity, channel, registry, and transfer evidence before you send money or information.
Read articleAI Inference Procurement: Receipt Card Controls
Control AI inference procurement with a receipt card that matches request limits, provider award, metered usage, and invoice evidence.
Read articleAI Data Center Insurance: Placement Evidence Matrix
Use a stage-gated evidence matrix to prepare AI data center insurance placement without confusing construction, commissioning, operations, or value assumptions.
Read articleAI Insurance Quotes: Scope and Licensed Handoff Record
AI insurance quote controls define scope, record evidence and uncertainty, and route regulated questions to a licensed professional before any binding action.
Read articleAI Cyber Insurance: Exposure Reconciliation Workpaper
Build a cyber-insurance evidence pack that reconciles declared and observed AI exposure, records gaps, and routes portfolio accumulation questions to humans.
Read articleAI Treasury Client Meetings: Data-Scope Evidence Pack
Prepare treasury client meetings with a data-scope evidence pack that tests account access, freshness, source support, uncertainty, and human review.
Read articleAI Expense Coding: The GL Close-out Card
Use an AI expense-coding close-out card to link source evidence, GL and tax-code checks, human approval, and reversible postings before close.
Read articleAI Fund Administration: NAV & Allocation Release Pack
Control AI-assisted NAV and allocation exceptions with an evidence register, release gates, test harness, and a copyable review prompt.
Read articleAI Adoption and Bank Lending: Scenario Notebook
Test how bank AI adoption may affect lending conditions with a causal scenario notebook, evidence gates, a review prompt, and falsification tests.
Read articleAI Agent Payment Disputes: Intent Evidence File
Investigate an AI agent card-purchase dispute with an intent evidence file that connects instructions, limits, authorization, order, and fulfillment.
Read articleAI Credit Portfolio Monitoring: Economic Exposure Card
Use an AI economic exposure card to monitor how AI-driven revenue, competition, and supplier dependencies may change a credit portfolio review.
Read articleCSBS AI Exam Prep: Risk-Tier Evidence Pack
Prepare for a state bank AI exam with a risk-tier evidence pack that maps each use case to documents, owners, review depth, and open gaps.
Read articleAI Core Banking Change Evidence Pack
Use an AI core banking change evidence pack to link requirements, code, tests, and approvers before an AI-assisted release reaches production.
Read articleAI Estate Review: Account-Titling Evidence Pack
Use an AI estate-review evidence pack to compare plan intent with account titles and beneficiary records—then route every discrepancy to a qualified human.
Read articleAI Financial Advisor Roleplay: Compliance Rehearsal
Use an auditable AI advisor roleplay card to test client-conversation claims, objections, escalation paths, and human review before a meeting.
Read articleAI Appraisal Review: A UAD 3.6 Evidence Control Pack
Review AI-flagged appraisal defects with a UAD 3.6 evidence pack, human decision states, red-team tests, and a copyable control prompt.
Read articleAI Financial Model Audit Trail: Source-to-Cell Control
Audit AI-assisted financial models with a source-to-cell control log, formula bridge tests, release gates, and a copyable review prompt.
Read articleAI Cash Forecasting: Variance & Policy Exception Card
Use a cash forecast variance decision card to trace data, separate calculation from AI explanation, and escalate liquidity policy exceptions.
Read articleAI Advisor Workflow: Client-Plan Conflict Resolution Card
Use a client-plan conflict card to surface stale household facts, rerun affected planning calculations, and route AI-assisted advisor work to human review.
Read articleAI Banking Integration: A Cutover Decision Card
Use a cutover decision card to prove AI banking rules have an owner, source record, ledger effect, rollback plan, and human approval before launch.
Read articleAI Banking Insights: Measure Helpfulness Before Offers
Measure AI banking insights with an intervention-outcome ledger that separates customer help from offers, honors preferences, and stops repeat noise.
Read articleAI Debt and Treasury Yields: A Causal Scenario Card
Test whether AI-related bond issuance affects Treasury yields with a four-channel scenario card, evidence log, and falsification triggers.
Read articleMutual Fund AI Compliance Gate: Answer Before Action
Use a deterministic AI compliance gate to separate mutual-fund answers from transaction routing, preserve rule evidence, and stop uncertain requests.
Read articleAI Reconciliation Exception Management: A Handoff Card
Use an AI reconciliation exception handoff card to assign owners, protect accounts, capture evidence, and approve closure without automatic write-backs.
Read articleAI Outage Recovery Drill for Financial Services
Run a practical AI outage recovery drill: map shared dependencies, move safely to manual operations, retain evidence, and approve staged restoration.
Read articleGPU-Backed Lending: An AI Infrastructure Evidence Prompt
Use a structured evidence register to assess GPU-backed credit: collateral, contracts, escrow releases, operating proof, and recovery assumptions.
Read articleAI Investing Decision Card: A Prompt Before You Trade
Use a pre-trade AI decision card to separate research from execution, expose missing evidence, and require an investor's explicit confirmation.
Read articleAI Red Teaming for Banking Agents: A Test Harness
Stress-test banking agents with policy-grounded scenarios, customer-impact controls, evidence requirements, human escalation, and regression gates.
Read articleFinancial AI Agent Cost: Price per Verified Decision
Calculate the real cost of a financial AI agent by including models, data, review, rework, controls, and the share of outputs finance can actually use.
Read articleAI Portfolio Commentary: A Client Validation Prompt
Turn portfolio data into client-ready commentary without losing the numbers, sources, time period, or boundary between explanation and investment advice.
Read articleAI Meeting Notes for Advisors: An Auditable CRM Workflow
Design a meeting-to-CRM workflow where every proposed field has evidence, confidence, review status, and a human owner before client data changes.
Read articleFinancial Research Agents and MCP: A Licensed-Data Contract
Control which financial datasets an agent may query, what derived output it may produce, what it may retain, and how access is revoked.
Read articleMulti-Custodian Data: An AI Provenance Contract
Give wealth-management AI a verifiable account, source, timestamp, reconciliation state, and data lineage before it generates an answer.
Read articleWhy Vanguard Bought Altruist: An AI Due-Diligence Checklist
Use the Vanguard-Altruist deal to evaluate which AI wealth-management capabilities can scale across custody, advisor workflows, data, and human oversight.
Read articleAI Credit Underwriting: Lessons From DBS's 70-Agent Workflow
Learn where agentic AI can accelerate credit-memo research and where evidence, challenge, and human approval must remain mandatory.
Read articleAI Financial Analysis Controls: A Practical Checklist for Finance Teams
Use this control checklist to make AI-assisted financial analysis traceable, reproducible, and safe before it reaches a report, forecast, or decision.
Read articleAgentic Payments: AWS AgentCore, x402, and Spending Limits
How Amazon Bedrock AgentCore Payments uses x402, MPP, wallets, payment sessions, IAM separation, and infrastructure-enforced spending limits.
Read articleAgentic Commerce: Why Only 9% Would Let AI Buy Autonomously
What agentic-commerce trust surveys really show, why their numbers differ, and which controls help consumers delegate one purchasing permission at a time.
Read articleAI and Banking: PicPay vs ChatGPT Finances
A practical comparison of PicPay's ChatGPT integration and OpenAI Finances, including permissions, privacy questions, limits, and safer prompts.
Read articleEU AI Regulations for Finance: Article 50 Disclosure Rules
A finance-specific guide to EU AI Act Article 50, covering chatbot notices, machine-readable marking, deepfakes, public-interest text, and human review.
Read articleKnow Your Agent (KYA) vs KYC: A Banking Control Framework
A neutral KYA framework for banks: identify the principal, operator, agent, mandate, credentials, permissions, monitoring, revocation, and evidence.
Read articleAgentic Finance Infrastructure: Identity, Payments & Control
Design agentic finance infrastructure with identity, authority, policy, payment, evidence, and recovery controls plus a reusable authorization contract.
Read articleAI Agents in Finance: Designing APIs for Tool Use
How financial APIs can support AI agents with Model Context Protocol, JSON schemas, authorization controls, and auditable tool use.
Read articlePerplexity for Finance: Research, Excel & Document Chat
Use Perplexity for finance research, document analysis, and Excel workflows with source checks, privacy controls, and copyable analyst prompts.
Read articleTokenomics Engineering: Designing Economic Systems for AI Agents
Learn how to design token economies for AI agents using deterministic supply rules, incentive engineering, and safeguards against economic failure.
Read articleBest AI Prompts for Financial Analysis and FP&A Teams
Copy controlled AI prompts for variance analysis, forecasting, CFO reporting, and financial-data extraction—with evidence and review checks.
Read articleNotebookLM for Stock Research: A Finance Workflow Guide
Use NotebookLM for stock research with a cited source pack, copyable analyst prompts, verification tests, and privacy controls for financial data.
Read articleWhat is the 50/30/20 Rule? Budget Calculator and Examples
Use the 50/30/20 budget rule to divide income among needs, wants, and savings, with an interactive calculator and practical examples.
Read articleAlgorithmic Solutions for Balancing Income and Expenses
Compare evidence-based budgeting methods, calculate your monthly cash-flow gap, and choose a system for stable, irregular, or high-cost income.
Read article70/20/10 Budget Rule: Calculator, Examples & Limits
Calculate a 70/20/10 budget from take-home pay, classify expenses correctly, and decide when debt, housing, or irregular income requires a different split.
Read articleFinancial Prompt Engineering for Reliable Analysis
Learn a practical framework for financial prompts, including output constraints, validation, data privacy, and review controls.
Read articleAI Expense Analysis Prompt: A Privacy-Safe Workflow
Analyze an anonymized bank statement with AI using a controlled data contract, category review queue, anomaly checks, and privacy safeguards.
Read articleFinancial Systems: Ledger, Idempotency & Reconciliation
Engineer reliable financial systems with double-entry invariants, idempotent commands, explicit transaction states, reconciliation, and failure-injection tests.
Read articleAI Macroeconomic Scenarios: Productivity, Inflation & Labor
Build auditable AI macro scenarios for productivity, inflation, labor, investment, and stability with an assumption register and falsification triggers.
Read articleAI Investment Backtesting: A Data Leakage Test Harness
Test an AI investment strategy for temporal leakage, survivorship bias, costs, and unstable results with a point-in-time data contract and acceptance gate.
Read articleBest AI Tools for Finance Teams in 2026: Workflow Guide
Compare AI tools for finance research, spreadsheets, FP&A, and AP using a 30-point scorecard, control checklist, and two-week pilot plan.
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OUR APPROACH
Curious by nature.
Careful by design.
AI Prompt Finance brings software engineering and economics together to make financial research more useful. We turn complex questions into practical guides, with clear assumptions and evidence you can inspect.
Founded by Enis Korkut, a machine learning and AI engineer with an academic background in computer engineering and economics, the publication explores production AI systems, financial analysis, and thoughtful automation.
Our aim is simple: explain what a tool or idea can do, where its limits are, and what to check before relying on its answer.
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