AI pattern
Reading, classifying and extracting data from documents such as forms, statements, contracts and identity papers.
327 organizations in 41 countries run these use cases in public. 54% of those 377 deployments disclose a measurable outcome.
Card dispute intake is a customer facing AI agent that finds a disputed card transaction and separates suspected fraud from merchant disputes and simple confusion. It explains the customer's rights and timelines, collects the details and evidence the rules require, and opens a correctly classified dispute case for the operations team.
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.
A first notice of loss agent is an AI agent that takes the first notice of loss from a policyholder by phone, chat or app. It identifies the policy, collects the facts of the incident and the evidence the claim type needs, opens the claim in the claims system, tells the customer what happens next, and hands complex, injured or vulnerable claimants to a human handler.
An AI freight dispatch and load matching agent coordinates moving a truckload for freight brokers and carriers. It reads an emailed quote request and replies with a price, ranks which loads to show which carriers, matches pickup and delivery details to an open dock appointment slot, and chases exceptions, so staff plan lanes and handle disputes instead of manual quoting and appointment calls.
An SME financial admin agent is an AI agent built into a small business account that turns a natural language request or an uploaded document into a prepared financial action. That action can be a bank transfer, a client invoice, a payroll run or an answer about cash position, and the business owner reviews and approves it before anything is sent or money moves.
AI source of wealth diligence is an AI agent that reads a prospective private client's documents and extracts how their wealth was built, for private banking compliance teams. It also corroborates that account, checks plausibility against benchmarks and external sources, and drafts the source of wealth and enhanced due diligence narrative for the relationship manager and compliance analyst, who decide on the risk rating and the relationship.
A travel and expense audit agent is an AI agent that checks every travel and expense report line against policy, for auditors. It checks receipts and prior submissions instead of a small manual sample, flags duplicates, altered receipts and policy violations with the evidence attached, and auto approves the clean majority so auditors spend their time on the reports that are genuinely risky.
A travel insurance claims and assistance agent is an AI agent that helps insured travellers with claims and assistance around the clock, in their own language. It answers cover questions, takes claims for delays, cancellations, lost baggage and medical costs, reads the receipts and certificates travellers upload, settles simple claims within set limits, and connects medical emergencies and complex cases to the assistance team at once.
A benefits eligibility and application assistant is an AI assistant that helps people see which public benefits and grants may apply to them and explains the rules in plain language. It also explains the required documents, guides the person through the application and checks it for completeness, while the eligibility decision stays with the agency's rules and caseworkers.
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.
A digital onboarding assistant is a customer facing AI that guides a new applicant, a person or a small merchant, through opening a digital account, card or relationship. It collects and checks identity and supporting documents, orchestrates the know your customer and anti money laundering checks, prefills what it can and sends only the unclear cases to a human reviewer with a summary. The ownership research for complex corporate clients is a separate back office job.
Procurement and contract review is an assistant that reads supplier contracts and proposals, for procurement and vendor management teams. It extracts the key terms, flags deviations from the organization's standard positions, drafts requests for proposal and evaluation matrices, and prepares negotiation positions, with a procurement or legal owner approving every conclusion.
AI Shariah compliance screening is an AI assistant that checks Islamic financing contracts, deal structures and investments for Shariah compliance risks such as riba and gharar, for compliance teams. It also flags exposure to prohibited activities, retrieves the relevant standards and fatwas, and drafts the Shariah review documentation. The Shariah board keeps sole authority over any ruling.
An AI order to activation and eSIM onboarding assistant takes a new or existing customer from order to a working service. It collects and checks the order details, guides number porting, eSIM download or SIM activation and installation appointments, tracks the order and fixes or escalates the step that is stuck, on messaging, app, web or phone.
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.
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.
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.
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 ecosystem data, and the model returns a decision with specific reasons.
Intelligent document processing is AI that takes documents in any format, such as scanned forms, PDFs, photos, emails and handwritten notes, and splits, classifies and extracts the required fields. Each field gets a confidence score, is validated against business rules and source systems, and only the uncertain cases go to a person before the data enters the downstream process.
Generative AI that drafts clinical study reports and other regulated documents for medical writers to verify, edit and approve. It writes documents such as protocols, patient materials and submission modules from the trial's statistical tables, listings and figures and from approved template text, before anything is submitted to a regulator.
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.
Trade document examination is AI that reads documents presented under a letter of credit or collection, such as the bill of lading, for bank examiners. It also reads the commercial invoice, packing list and certificates, extracts and cross checks the data, and tests it against the instructions and the ICC rules, including UCP 600 and ISBP for letters of credit. It lists discrepancies by severity with the rule cited, so qualified examiners focus on the genuine exceptions.
Application and identity fraud detection is AI that checks incoming account and loan applications for banks and lenders to catch forgery and fraud rings. It analyses documents, device and application data across the whole queue and cross checks against bureau and official sources to flag forged or AI generated documents, synthetic and stolen identities, and coordinated rings.
AI account servicing execution is AI that reads and acts on servicing requests landing in operations queues, such as address or beneficiary changes, for back office staff. It checks each request against policy and entitlements, then prepares or makes the change, such as mandate changes, standing instructions, reissues, payoff and reference letters and loan maintenance, in core systems under dual control.
Business onboarding and UBO discovery is AI that builds the know your business (KYB) due diligence file for a new or reviewed corporate client before any account opens. It collects registry, incorporation and ownership documents, resolves the entity across sources, maps the ownership chain through holding companies, nominees and trusts to the ultimate beneficial owners, screens the entity and its owners, and presents a risk scored case for a compliance analyst to decide.
AI cash application is AI that reads remittance advices in many formats and matches incoming customer payments to open receivable invoices for accounts receivable teams. It proposes deduction and short pay reason codes from prior resolutions and routes only the genuine exceptions to an analyst, so the sub ledger clears itself for the clean majority of payments.
AI chargeback and representment is AI that runs the dispute engine room for issuers, acquirers and merchants, mapping each dispute to the network reason code. It gathers the matching evidence, assembles a network compliant chargeback or representment package, drafts the rebuttal, tracks every deadline and processes pre dispute alerts so a refund can be issued before a chargeback lands.
Claims triage and straight through processing is AI that reads each new insurance claim and its documents and scores its complexity, cover questions, fraud and recovery signals. It sends each claim to the right handling path and handler, and settles simple, low risk claims end to end within set limits without a person touching them.
AI that reads incoming broker submissions for commercial insurance so underwriters open a complete, prioritized file instead of an inbox. It reads emails, applications, schedules of values, loss runs and supplements, extracts the risk data into a structured record, checks clearance and appetite, and enriches and ranks the risk with internal and third party data.
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 artefact 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.
AI case file summarization is AI that condenses court filings, case files, evidence recordings and earlier decisions into structured summaries for judges, prosecutors, tribunal staff and government lawyers. It also produces chronologies and draft case reports with references to the source pages, so they find what matters faster while the person responsible reads the underlying material and makes every legal judgment.
AI customs classification and declaration is AI that reads what is being shipped and proposes the tariff classification code for a customs declaration. It uses the commercial invoice, the product data and sometimes a photo, gives its reasoning and a confidence score, drafts the declaration with value, origin and parties, and sends only uncertain or high risk entries to a licensed customs specialist before filing.
AI for eDiscovery and disclosure document review sorts, prioritises and codes large collections of emails, chats and files for relevance, issues and legal privilege. It works across litigation, investigations and regulatory requests, so lawyers review the documents most likely to matter and can show the court how the rest were handled.
AI for freedom of information request processing is AI that helps a public body handle freedom of information and open government requests. It logs and clarifies requests, spots duplicates, searches and deduplicates the records in scope, proposes redactions with the applicable exemption, and drafts the response letter, with an FOI officer deciding what is released.
AI for health insurance prior authorization and claims adjudication reads prior authorization requests, medical claims and appeals, and prepares a summary and recommendation for a clinician or adjudicator. It works from the clinical and billing documents attached to each case, extracts diagnoses, treatments and costs, and checks them against the policy and published clinical criteria, while the clinician or adjudicator makes every adverse decision.
AI for healthcare claims fraud, waste and abuse detection reads healthcare claims and provider billing patterns to flag fraud, waste and abuse for a payment integrity investigator. It checks claims before or shortly after payment and sends every flag with its reasons to the investigator, while a narrow set of clear rule violations can be denied automatically before payment.
An immigration and visa application assistant is AI that helps applicants understand visa requirements and submit complete applications, and helps immigration staff prepare cases. It extracts form data, classifies evidence, routes applications and supports interviews, while every grant or refusal is decided by an officer against the immigration rules.
AI correspondence triage and routing is AI that sorts inbound letters, emails, uploads and secure messages before anyone answers them, so each one reaches the right team. It brings everything into one intake, identifies what each item is, extracts the key fields, links it to the right customer and account, sets priority and routes it to the right workflow, replacing the manual sorting desk.
Claims fraud detection is AI that scores every insurance claim for fraud from first notice of loss onwards, combining claim, policy, document, image and network data. It finds suspicious claims, organised rings and inflated losses, and sends each alert with its reasons to a claims handler or special investigations unit for review.
Renewal and retention AI prepares and runs the insurance renewal cycle, digitizing renewal submissions and changes in risk for underwriters and flagging policies at risk of lapsing or leaving. It also prepares the renewal conversation and answers customers' renewal questions, while renewal prices stay governed by the insurer's pricing rules and fair value obligations.
AI for ledger and payment reconciliation matches financial records to each other and flags the exceptions for a human to review. It matches entries across nostro and vostro statements, card and scheme settlement files, the general ledger and suspense accounts, proposes the matches and clearing journals, and routes only the genuine breaks to an operator with a plain language explanation.
AI for payment investigations and exceptions works the payments that fall out of straight through processing, by reading the failure and repairing or enriching the message. It drafts the ISO 20022 or SWIFT investigation, chases the counterparty bank and proposes a return, recall or correction, while an operator approves anything that moves money.
Permit and licence application processing is AI that helps applicants submit complete applications and helps officers process them. It answers questions about requirements, checks applications for missing or inconsistent information, pulls the relevant policies, history and constraints, and drafts reports, while the grant or refusal stays with a named officer or a published rule.
Perpetual KYC is AI that keeps each customer's due diligence file current by replacing calendar driven reviews with continuous, event driven refreshes. It watches for trigger events such as an ownership, address or behaviour change or a new adverse finding, refreshes the file automatically where it can, and involves an analyst only when something material changes. The risk rating and the first file for a new business client are separate use cases.
AI for pharmacovigilance adverse event case intake is AI that takes in adverse event reports about medicines, vaccines and devices for drug safety teams. It receives reports from calls, emails, forms, literature and partner files, decides whether each is a valid case, flags seriousness, extracts and codes the case data into the safety database format, and routes it to drug safety professionals, who review medical content and regulatory reporting.
AI policy drafting and gap analysis is an assistant that reads a new or changed obligation and checks which internal policies it affects, for compliance and legal teams. It finds every policy, standard and procedure the obligation touches, flags clauses that now conflict or are silent, and drafts the updated wording in house style as a redline for the policy owner to approve.
AI for RFP and proposal response drafting is AI that helps sales and bid teams answer requests for proposal, tenders, security questionnaires and sales proposals. It breaks the request into questions and requirements, retrieves approved answers and past proposals, drafts the response and a compliance matrix, and routes open points to subject matter experts, with a proposal manager reviewing everything before submission.
AI subrogation detection is AI that reads open and closed claims to find cases where a third party is wholly or partly liable. It estimates liability and the recoverable amount under the applicable negligence and recovery rules, and sends scored recovery opportunities with their reasons to the subrogation team.
Supervisory exam response assembly is an AI assistant for a bank's regulatory affairs team that reads a supervisory information request or exam question and drafts a response. It retrieves the relevant evidence, policies and prior correspondence, so legal and compliance can approve the draft, and tracks every commitment and remediation action through to closure.
AI supplier invoice processing is AI that captures supplier invoices in any format and extracts the header and line data. It matches invoices to purchase orders and goods receipts, proposes tax and cost centre coding, flags duplicates and suspected fraud, and routes them for approval and posting, leaving only exceptions to accounts payable staff.
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.
AI income and document verification is software that classifies a mortgage application's documents and calculates the borrower's qualifying income for underwriters. It classifies the pay stubs, bank statements, tax forms and other documents, applies the investor's or agency's own income rules, checks documents for signs of alteration, and sends only low confidence or unusual files to an underwriter, with every calculated figure linked to its source page.
AI lease abstraction reads a commercial lease, amendment or letter of intent and pulls out the key terms into structured data for property owners, occupiers and brokerages. The terms include parties, dates, rent, escalations, options and renewal notices, so nobody has to retype every clause by hand into the lease administration and portfolio systems.
A legal research and drafting assistant is a generative AI tool that finds and summarises case law and legislation for lawyers, answering legal questions with citations. It works for lawyers in firms, legal departments and public bodies, also searching internal know how and drafting first versions of memos, briefings, letters and filings, which the lawyer verifies and signs off.
AI medical coding automation reads a clinical encounter's documentation and assigns the diagnosis and procedure codes needed for billing and reporting. It uses code sets such as ICD-10, CPT and HCPCS, working either as suggestions for a certified coder or autonomously for encounters it can code with high confidence, sending the rest to coders with the reasons.
AI corporate account onboarding orchestration runs the operational setup of a corporate client after due diligence is approved, turning manual work between teams into a tracked, guided flow. It reads mandates, board resolutions and signatory documents, prepares accounts, users, roles and payment entitlements for approval, configures channel access, and chases outstanding items with the client.
Sales quote and estimate generation is AI that turns a customer's product list, drawing, roof photo or request for quotation into a draft quote for a seller or estimator. It reads the input, matches items to the catalog, calculates quantities and applies the organization's price rules, and the seller or estimator then checks and sends it.
AI loan restructuring recommendations are an assistant that proposes the best hardship arrangement for a stressed borrower, for a person to approve. It assembles the borrower's position and tests options such as a term extension, rate relief, payment holiday or due date change against policy and affordability, then recommends the best fit with a written rationale.
Regulatory horizon scanning is AI that continuously reads publications from the regulators and standard setters an organization answers to and classifies each item by relevance and urgency. It breaks new rules into individual obligations and maps them to the internal policies and controls that meet them, so compliance owners see what changed and where the gaps are.
Estate and trust document drafting is an AI assisted workflow for wealth advisors that extracts and summarizes what a client's existing will, trust and power of attorney documents say. It flags where documents disagree or contain an error, for an advisor to review. Some platforms in this category also fill an attorney reviewed, jurisdiction specific template with the client's facts to produce a new draft estate document; whether that filling step itself runs on a model, or is document assembly outside the AI feature, is a vendor by vendor question the evidence on this page does not settle.
AI batch record and deviation review reads and correlates batch records, sensor data and quality certificates from a pharmaceutical manufacturing line to flag quality deviations. It compares each new batch against a profile of the best performing past batches and flags the process parameters and deviations that explain a change in yield or quality, so manufacturing science and quality teams can act on a cause instead of reading records line by line after the fact.
Trade finance crime screening is AI that checks every trade finance transaction for financial crime risk, for banks. It checks parties, vessels and ports against sanctions and watchlists, tests goods descriptions against dual use and controlled goods lists, compares unit prices with benchmarks for over or under invoicing, and reads trade documents and messages for laundering red flags, then prepares a case narrative for a human investigator.
Spend classification is AI that reads purchase orders, invoices, card transactions and contracts and assigns each line of spend to a category, for procurement teams. It assigns spend to the organization's taxonomy and to the right supplier, so procurement can see what is bought, from whom and where to consolidate or negotiate.
AI medical evidence summarization reads the medical records behind a life or health insurance application and turns them into a structured, cited summary for the underwriter. The records include attending physician statements, electronic health records, lab results and disclosures, and the summary covers conditions, treatments and dates, mapped to the insurer's underwriting manual so the underwriter can decide faster and more consistently.
An AI model inventory is a governed register of every AI system and model an organization builds, buys or uses, for risk and compliance teams. Each entry records the owner, purpose, data, risk tier and approval status, kept current by AI that discovers unregistered use, reads the documentation and assembles the evidence a board, auditor or supervisor asks for.
Requirements to test cases is AI that reads product requirements, specifications or recorded sessions and drafts structured user stories, acceptance criteria and test cases for QA engineers to review. It also checks the source for gaps, ambiguity and contradictions, drafts the cases in a format such as Gherkin, and traces each item back to the requirement it covers.
AI public service translation is AI that translates government content, documents and conversations between officials and the public, in writing and in real time speech. This lets people use public services in their own language, with human translators and interpreters reviewing anything that carries legal or safety weight.
Case admissibility and selection triage is AI that reads an incoming appeal or petition at a supreme or constitutional court and classifies it by legal theme. It suggests whether the case belongs with others already grouped for combined resolution or should go to full review, so staff and justices spend time on the judgment, not sorting the docket by hand; a person confirms every classification before it affects a case.
AI underwriting and verification for auto loans is AI that verifies the income, identity, employment and residence data on an application for a lender. It checks that data in real time against supporting documents and external databases, clears routine stipulations automatically, flags fraud patterns such as altered pay stubs, and gives the lender's credit policy engine a verified, structured application instead of a stack of documents a person has to check by hand.
Conversational AI for loan application intake is an assistant on web, app, messaging or voice that captures a loan application through dialogue with the customer. It explains loan products in the customer's language, checks documents and basic eligibility rules, and hands a complete, structured application to origination, without making the credit decision.
An internal audit copilot is AI that helps internal auditors plan and write up audits, from drafting planning materials to summarising evidence and drafting findings. It drafts planning memos and document request lists from prior audits, summarises large evidence sets, builds risk and control matrices from policies and process documents, and drafts findings and reports, with every statement traceable to evidence and a qualified auditor accountable for every conclusion.
Computed from the 377 public deployments behind these use cases. Numbers update with every checked record.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Automation rate | 78% | 25% to 99% Not pooled: up to 70% | 28plus 1 up to | 11 organization, 17 vendor |
| Cycle time reduction | 67% | 20% to 97% Not pooled: up to 70%, up to 70% | 19plus 2 up to | 3 organization, 16 vendor |
| Handling time reduction | 68.5% | 30% to 90% Not pooled: up to 85%, up to 67% | 18plus 2 up to | 5 organization, 13 vendor |
| Accuracy | 94.5% | 83% to 100% Not pooled: up to 99%, up to 90% | 16plus 2 up to | 7 organization, 9 vendor |
| Productivity gain | 65% | 25% to 113% Not pooled: up to 87.5%, up to 80% | 9plus 2 up to | 5 organization, 4 vendor |
| Error reduction | 59% | 20.5% to 80% | 5 | 3 organization, 2 vendor |
