173 organizations in 31 countries run these use cases in public. 59% of those 182 deployments disclose a measurable outcome.
Cross industryTechnology and software
AI data quality monitoring is an AI agent that watches data pipelines and tables continuously and flags anomalies before they reach a dashboard or a downstream model. It uses machine learning to learn the normal pattern of freshness, volume, schema and distribution for each one, and traces the lineage back to the change that caused an anomaly so an engineer can fix the source and not only treat the symptom.
Deployments
8 public, best grade C
Median time to repair reduction, vendor reported
20%
3 deployments
Wealth and asset managementCapital markets
AI analysis of earnings calls and company text reads earnings call transcripts, filings and other unstructured disclosures at scale to produce an investment signal for a portfolio manager or analyst. The underlying large language model, either fine tuned or prompted within a structured scoring framework, scores a company on a dimension such as business quality or exposure to a market theme, or forecasts how markets will react to what was said, so the signal is systematic and repeatable to weigh alongside traditional quantitative data.
Deployments
4 public, best grade B
Energy and utilities
Smart meter analytics is AI that turns readings from smart electricity, gas and water meters into usable information for utilities, instead of treating every meter and customer the same way. It monitors meter and network health at scale, estimates which appliances drive a household's usage from the meter signal alone, flags unusual consumption, and targets efficiency and electrification programs at the customers who will benefit most.
Deployments
5 public, best grade C
Cross industryTechnology and software
An AI treasury assistant answers a corporate treasury team's questions in plain language, from live cash and bank data to internal policy, instead of staff stitching exports together.
Deployments
4 public, best grade C
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
BankingCross industry
AI cash flow forecasting for corporate treasury is machine learning that categorizes a company's cash flows and forecasts its cash positions across accounts and currencies for the treasury team. Conversational analytics can sit on top of it. Some banks offer it inside their cash management platforms, where it also answers treasurers' questions in plain language, so the team decides on funding and idle balances with better information and less spreadsheet work.
Deployments
7 public, best grade B
Reported productivity gain
about 90%
JPMorgan Chase, organization claim
HealthcarePharma and life sciences
AI that compares a patient's health record against the eligibility criteria of open clinical trials to help research staff and treating clinicians find candidates. It reads structured data and clinical notes, then gives staff a ranked list of likely eligible patients with the evidence for each criterion, so that people confirm eligibility and invite the patient.
Deployments
6 public, best grade B
Reported accuracy
100%
Cleveland Clinic, organization claim
Healthcare
An AI command center for hospital bed and staff capacity planning predicts patient admissions, discharges and transfers, and helps a team of coordinators sequence bed assignments, staffing and moves. The coordinators sit in one room and act on real time predictions across a hospital or health system, so patients get into the right bed faster and existing capacity is used fully without adding beds.
Deployments
7 public, best grade B
Median cycle time reduction
34%
7 deployments
Travel and hospitality
A hotel revenue management copilot is an employee facing AI system that forecasts hotel demand and recommends or automatically adjusts room prices within limits a revenue manager sets. It forecasts demand for a hotel or portfolio by date, room type and segment, also adjusts availability controls, and scores group and event enquiries for true profitability, so a small revenue team can run pricing that used to need daily manual adjustment in the property management system.
Deployments
8 public, best grade C
Median revenue uplift
25.2%
4 deployments
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
Retail and ecommerce
Demand forecasting and replenishment is machine learning that forecasts demand for every item in every store or fulfillment center, day by day, and turns that forecast into automatic orders. It draws on sales history, promotions, prices, weather and local events, and places store and warehouse orders within limits set by planners, who handle the exceptions.
Deployments
9 public, best grade B
Reported forecast accuracy
up to 40%
Aeon Retail, organization claim
Media and entertainment
An AI dynamic paywall scores how likely each reader is to subscribe and uses the score to choose whether to show a paywall, which offer and which message. News publishers use it to grow subscriptions while keeping the advertising revenue of readers who are unlikely to pay, where a classic paywall applies one fixed rule to everyone.
Deployments
4 public, best grade B
Reported conversion uplift
92%
Financial Times, organization claim
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
Pharma and life sciences
AI that scores and ranks candidate investigator sites and countries for a planned clinical trial, so clinical operations teams choose sites more likely to meet enrollment targets on time. It ranks them by predicted enrollment speed, access to the eligible patient population and historical performance, and teams use the shortlist to activate sites instead of relying on which ones a study team happens to know.
Deployments
7 public, best grade B
Reported cycle time reduction
53%
ICON plc, organization claim
Cross industryBanking
AI complaints root cause analysis reads the free text of complaints across all channels and clusters it into themes to find the systemic causes behind them. It separates systemic causes from one off events, links each theme to the product, process or control behind it, and routes the insight to the owner who can fix it. A human validates every root cause and every remediation.
Deployments
3 public, best grade B
Real estate
AI construction progress tracking matches site photos to the schedule and BIM model to show what is actually built, for site teams and owners. The photos are captured with a hardhat mounted camera on regular site walks and compared with planned tasks and quantities, so teams see where trades are behind and where installed work does not match the design, without walking the site by hand.
Deployments
4 public, best grade C
Reported productivity gain
95%
Layton Construction, vendor claim
Telecommunications
AI network planning and capacity optimization is machine learning that forecasts where and when a mobile network will run out of capacity, for network planners. It recommends where to add cells, spectrum or hardware, and continuously tunes radio parameters so existing capacity carries more traffic, with planners approving investments and major changes.
Deployments
9 public, best grade B
Reported cycle time reduction
at least 95%
Deutsche Telekom, organization claim
Government and public sector
AI public consultation response analysis is AI that reads every free text response to a consultation or rulemaking comment period and proposes themes. It maps each response to themes that officials have validated, flags duplicates, campaign letters and responses that need special attention, and produces counts and summaries for the analysts who write the government's response.
Deployments
8 public, best grade B
Reported accuracy
at least 92%
Department for Transport, organization claim
Cross industryBanking
Synthetic test data generation is AI that generates realistic synthetic datasets, such as customers, transactions, documents and conversations, without containing real personal data. The datasets keep the structure and statistical properties of production data, so teams can test software, train and validate models and run demos safely.
Deployments
7 public, best grade B
Reported cycle time reduction
75%
Patterson Dental, vendor claim
Telecommunications
AI churn prediction and retention is AI for telecom operators that scores each subscriber's risk of leaving from usage, service, billing and contact signals. It explains the likely reason and chooses the next best retention action, such as fixing a problem, adjusting a plan or making an offer, delivered through the app, messaging, an agent or an advisor within approved offer budgets.
Deployments
5 public, best grade B
Reported churn reduction
20%
Telenet, vendor claim
Cross industryRetail and ecommerce
AI customer feedback analysis is AI that reads every piece of free text customer feedback and turns it into themes, sentiment and actions for a named owner. The feedback can be survey verbatims, NPS comments, reviews, social posts, chat and call transcripts, and the analysis also identifies drivers, so the organization hears all of its customers instead of a sample.
Deployments
12 public, best grade B
Reported accuracy
91%
AT&T, vendor claim
Energy and utilities
Renewable generation forecasting is AI that predicts how much power a wind or solar asset will generate over the next hours to a day ahead. It combines weather forecasts with historical turbine or panel output, so a grid operator or generator can commit to a delivery schedule instead of treating renewable output as unplannable.
Deployments
4 public, best grade B
Reported revenue uplift
about 20%
Google, organization claim
Wealth and asset managementBanking
Portfolio reporting and commentary is AI that drafts each client's periodic portfolio report and commentary in plain language, for wealth and asset managers. The narrative covers performance, attribution, what drove returns, positioning and outlook, written in the client's language, where every figure comes from the portfolio system of record and a reviewer approves the text before delivery.
Deployments
3 public, best grade B
Pharma and life sciences
An AI drug discovery platform is an AI native research platform that prioritizes disease targets from biological data and generates and optimizes candidate drug molecules computationally. It also predicts the molecules' properties before a chemist synthesizes and tests them, so a pharmaceutical or biotech company reaches a validated preclinical candidate with far fewer molecules made and tested than a conventional medicinal chemistry program.
Deployments
9 public, best grade B
Reported cycle time reduction
about 60%
Insilico Medicine, organization claim
