#ai
17 articles found
AI in M&A Due Diligence: Contract Review, QA Sampling, and Clean-Team Risks
Where AI speeds up due diligence, how to measure what it misses with a simple sampling test, and the confidentiality and clean-team rules deal teams must keep.
AI for ESG Risk and Reporting: What Changed in 2025-2026 and Where AI Helps
CSRD now covers far fewer companies, SB 253 reports are due November 2026, and EU greenwashing rules apply from September 2026. Where AI fits in ESG work.
AI for Regulatory Compliance: AML Alert Triage, Regulatory Change, and Audit-Ready Controls
How compliance teams use AI for AML alert triage, regulatory change tracking, and control testing, and what the TD Bank case shows about monitoring gaps.
AI Cyber Threat Intelligence: What the 2026 IBM and Verizon Data Say to Prioritize
Exploited vulnerabilities are now the top breach entry point. How to use AI for alert triage, KEV and EPSS patch priority, and threat hunting.
AI in Supply Chain Finance: Discount Math, Disclosure Rules, and Lessons From First Brands
How reverse factoring and dynamic discounting work, the annualized cost of early-payment discounts, new disclosures, and where AI catches invoice fraud.
AI in Insurance Underwriting and Claims: Pricing Math, Regulation, and Risks
How AI changes insurance pricing and claims, with a worked telematics example, the NAIC bulletin, NY DFS Circular Letter 7, Colorado rules, and EU AI Act dates.
AI Investment Portfolio Optimization: What Works, What's Overfit, and What's AI-Washing
How AI and machine learning are used in portfolio construction, why backtests mislead (with the math), the record of AI-run funds, and SEC action on AI-washing.
AI Customer Experience Strategy: Lessons From Klarna, Air Canada, and the Metrics That Matter
What AI support automation delivers, why Klarna brought humans back, when a chatbot answer becomes your liability, and how to measure containment honestly.
AI Governance Frameworks: A Tiered Model Using NIST, ISO 42001, and the EU AI Act
How to build AI governance that scales with risk: inventory, risk tiers, controls per tier, and EU AI Act dates after the 2026 Digital Omnibus.
MLOps in Practice: Reproducible Pipelines, Safe Releases, and Drift Monitoring That Works
A practical MLOps guide: versioning, training-serving skew, release patterns, drift metrics with a worked PSI example, LLM evaluation, and 2026 rules.
AI Fraud Detection in Finance: Models, Thresholds, and the Scams Models Miss
Reported US fraud losses hit a record $15.9B in 2025. How fraud models work, how to set decline thresholds with cost math, and why scams need other defenses.
AI Financial Forecasting: When Machine Learning Beats the Spreadsheet (and When It Doesn't)
How to test whether an AI forecast beats a naive baseline, which accuracy metrics to use, where ML helps in FP&A and cash forecasting, and handling drift.
AI-Powered Market Research: Synthetic Respondents, Survey Bots, and What Still Works
Where AI speeds up market research, the evidence on synthetic respondents, AI bots passing 99.8% of survey attention checks, and scraping law basics.
AI Content Marketing Strategy: What Still Works After Google's Scaled Content Rules
How to use AI in content marketing without tripping Google's scaled content abuse policy or the EU AI Act disclosure rules, and how to measure whether it pays.
AI Business Strategy: How to Pick Use Cases That Reach the P&L
Most companies use AI but few see profit impact. How to score use cases, decide build vs buy, and measure savings that are real cash, with a worked example.
AI for Strategic Decisions: Where It Helps and Where Judgment Still Wins
How to use AI in strategic decisions: scenario simulation, red-teaming plans, and forecast tracking, plus the biases AI adds and how to check for them.
AI in Project Management: Probabilistic Forecasts, Admin Automation, and What to Avoid
Use Monte Carlo forecasts to answer "when will it be done?" honestly, automate PM admin, and avoid per-person velocity tracking, high-risk under the EU AI Act.