163 organizations in 28 countries run these use cases in public. 55% of those 171 deployments disclose a measurable outcome.
Insurance
AI property risk scoring reads aerial imagery to rate roof condition, wildfire exposure and other building features at quote, so underwriters inspect fewer homes. It turns an address into a score and a set of flags that feed the insurer's eligibility, inspection and pricing rules, and the underwriter or the rules engine keeps the decision.
Deployments
4 public, best grade C
Reported accuracy
at least 95%
Florida Peninsula Insurance Company, organization claim
Banking
AI credit underwriting and memo drafting is an AI agent that drafts a committee ready credit memo for a corporate borrower, for the relationship and credit teams to review. It gathers the borrower's documents and data, spreads the financials into the bank's template, calculates ratios and covenant headroom, pulls bureau and news information, and links every figure to its source for the team to challenge, complete and sign.
Deployments
6 public, best grade B
Reported cycle time reduction
96%
Kuwait Finance House, vendor claim
Capital marketsWealth and asset management
AI deal sourcing and due diligence is an AI assistant that screens the market for acquisition or investment targets and speeds up due diligence for a deal team. It builds company profiles, reads data room documents, extracts key terms and risks, and drafts the investment or diligence memo, for the team to verify and decide.
Deployments
6 public, best grade B
Reported productivity gain
up to 80%
Datasite, vendor claim
Wealth and asset managementBanking
A suitability assessment assistant is an AI assistant that checks whether a proposed product or portfolio fits a client's risk tolerance, objectives, knowledge, experience and financial situation. It checks this against the firm's rules, flags mismatches, and drafts the suitability rationale and report for the advisor to confirm, while hard rule failures are decided by deterministic checks, not by the model.
Deployments
2 public, best grade B
Banking
SME cash flow underwriting is an underwriting engine that assesses a small business's repayment capacity from live bank transactions and payment flows, instead of audited accounts, for lenders. It also draws on point of sale data, receivables and accounting data, and returns a decision recommendation with the evidence and reasons behind it.
Deployments
8 public, best grade B
Insurance
An insurance pricing and actuarial copilot is AI that speeds up the work of pricing and actuarial teams, from risk and demand model building to natural language analysis of data. It builds automated, transparent risk and demand models and analyzes rate filings, experience data and reserving diagnostics, while actuaries select the models, sign off the rates and own the professional judgment.
Deployments
9 public, best grade B
Reported productivity gain
5x
Generali France, organization claim
BankingInsurance
AI model risk validation is a copilot that supports independent review of a bank's models, used by a validation function, an external tester or a supervisor. It checks model documentation against the model risk standard, generates and scores challenger tests (for generative AI, often with an LLM as a judge calibrated against human experts), watches production models for drift, and drafts and consistency checks the validation report. An accountable validator owns every conclusion.
Deployments
3 public, best grade B
Insurance
An underwriting risk assessment copilot is an AI tool that assembles everything relevant to a risk, such as the submission, loss history and underwriting guidelines, for an insurance underwriter. It also gathers third party data and public information, highlights exposures and gaps against the insurer's underwriting guidelines, and drafts the underwriting narrative or referral note, while the underwriter makes and signs every decision.
Deployments
8 public, best grade B
Reported cycle time reduction
50%
Generali Global Corporate & Commercial, vendor claim
BankingPayments and cards
Alternative data credit scoring is a machine learning model that adds consumer permissioned data to credit bureau data, so a lender can assess applicants with thin or no credit files. The alternative data includes bank account cash flow, rent, utility and telco payments or data from partner platforms, and the model returns a decision with specific reasons.
Deployments
8 public, best grade B
Reported automation rate
at least 90%
Upstart Holdings, organization claim
Banking
AI early warning and covenant monitoring is a monitoring system that flags borrowers whose credit is deteriorating across a loan book, for the relationship manager. It tracks covenant tests and borrower reporting, reads financials, filings and news, and combines them with payment and sector signals, then presents the evidence with a suggested next step.
Deployments
4 public, best grade B
Government and public sectorHealthcare
Epidemic intelligence signal detection is AI that scans news, social media and feeds for early signs of outbreaks and other health threats, so analysts can verify and escalate them. Public health agencies use it to complement reports from laboratories and hospitals.
Deployments
4 public, best grade A
Cross industryInsurance
An AI assistant that reads board and committee papers before a meeting and gives each director a short, cited briefing. The briefing covers what changed since last time, the decisions being asked of the board, the risks flagged and the open questions worth raising, with page references back to the source pack.
Deployments
3 public, best grade C
Insurance
AI catastrophe exposure assessment is AI that turns satellite and geospatial data into a fast, portfolio wide view of which policies and properties are exposed to a catastrophe. It covers before and immediately after the event, so exposure managers and claims teams can quantify the loss, prioritize response and reach affected customers first, without waiting for ground surveys.
Deployments
4 public, best grade B
Cross industryBanking
AI continuous controls testing checks every transaction or record against a control's rule instead of a periodic sample, giving continuous, full population assurance. It collects evidence from source systems, maps each artifact to the control it supports, flags exceptions for a human to judge, and prepares the risk and control self assessment from incident and loss data for the business to review.
Deployments
3 public, best grade B
Government and public sectorLogistics and transportation
AI customs risk targeting and container selection is machine learning that scores every import or export declaration for the risk it carries contraband, is misclassified or is undervalued. A customs administration sends physical inspection, scanning and detailed review only to the small share of containers, vehicles and parcels that need it; the rest clear without an officer touching them, and an officer reviews and acts on every high risk alert.
Deployments
6 public, best grade B
Reported detection improvement
up to 8x
Korea Customs Service, organization claim
Cross industryManufacturing
AI for FX exposure forecasting is a machine learning model that predicts a company's future foreign currency cash flows, so treasury can set hedges against a more accurate exposure number. Treasury still decides the hedge ratios, instruments and timing, and executes the trades.
Deployments
2 public, best grade C
Reported forecast accuracy
96%
ASML, organization claim
Cross industryBanking
AIOps incident triage is AI that turns a flood of monitoring alerts into one probable incident and routes it to the right team. It also proposes likely root causes and remediation from runbooks and past incidents, and drafts the stakeholder updates and the post incident review, while an engineer authorizes every change.
Deployments
10 public, best grade B
Median time to repair reduction
75%
6 deployments
Payments and cardsTechnology and software
AI merchant underwriting and risk monitoring helps acquirers, payment facilitators and software platforms with embedded payments decide which merchants to accept and on what terms, and watch for risk afterward. It checks what a business really sells and how risky it is at onboarding, then watches every active merchant for changes in behavior, ranking the few that need an analyst so fraud, prohibited trade and credit losses are caught early.
Deployments
8 public, best grade B
Reported alert volume reduction
about 89%
Weave Communications, vendor claim
Government and public sector
Inspection prioritization is AI that predicts which premises, operators or activities are most likely to be non compliant, to target inspectors' visits where the risk is highest. It is used across food safety, workplace safety, environmental and other regulation, ideally with inspectors still choosing visits and random inspections testing the model.
Deployments
10 public, best grade B
Capital marketsBanking
Settlement fail prediction is AI that scores each pending securities settlement instruction for its likelihood of failing and names the probable cause. The cause can be an unmatched instruction, wrong settlement details, or a lack of securities or cash. It then helps operations teams work the exceptions and counterparty queries before the intended settlement date, so fewer trades fail and fewer late settlement penalties are paid.
Deployments
4 public, best grade B
Government and public sector
Tax compliance risk scoring is AI that scores tax returns, taxpayers and transactions for the risk of error, underreporting or fraud, for a tax administration. It directs audit and compliance capacity to the highest risk cases, while an officer decides every compliance action and the selection itself is monitored for fairness.
Deployments
6 public, best grade B
Cross industryBanking
AI for vendor due diligence reviews a vendor's security questionnaires, SOC and assurance reports and contracts against an organization's control requirements, and researches the vendor for a risk team. It also checks model documentation, researches the vendor's ownership, sanctions, financial health and adverse media, drafts the risk assessment for a human to approve, and keeps the register of material service providers current with ongoing monitoring.
Deployments
5 public, best grade B
Wealth and asset managementBanking
Portfolio drift monitoring and rebalancing is AI that continuously checks each client portfolio against its mandate or model and prepares a rebalancing proposal, for advisors and portfolio managers. It detects drift beyond agreed bands and prepares a tax aware, low turnover proposal with its rationale, which an advisor or portfolio manager approves before any trade is placed.
Deployments
3 public, best grade B
Government and public sector
Propensity to pay scoring is a machine learning model that estimates how likely each debtor is to pay, or to miss an upcoming payment, so collectors can pick the cases and contact approach. The score orders worklists and selects the letters, calls or support a debtor receives, while people still decide on payment plans, enforcement and write offs.
Deployments
4 public, best grade B
Reported accuracy
86%
Department for Work and Pensions, organization claim
