AI pattern
Generative AI that drafts text, images or other content for a human to review or send.
292 organizations in 37 countries run these use cases in public. 56% of those 332 deployments disclose a measurable outcome.
An AI agent for sports highlights and clipping watches a live sports broadcast and detects key moments such as goals, saves or penalties as they happen. It automatically extracts and reformats a clip and puts it in front of an editor to review and publish, instead of a person watching every feed and clipping moments by hand.
An AI agent that recognizes, investigates and drafts a response to a customer complaint for a human handler to approve. It logs the complaint against the regulatory definition, classifies its root cause and severity, gathers the evidence, drafts the acknowledgement and the response, and tracks every statutory deadline until the case is closed.
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.
Performance review drafting is an AI agent that gathers an employee's work history, goals and peer feedback and drafts a first version of the performance review for a manager. It draws on the systems the manager already uses, and the manager edits, rewrites or rejects the draft, so they start from a grounded summary instead of a blank form and six months of context to recall from memory.
An AI flight disruption and rebooking agent tells airline passengers proactively when their flight is delayed, cancelled or misconnected and helps them rebook. It explains why, and lets them rebook, request a refund or voucher, or claim care such as meals and hotels in one conversation on app, messaging, web or phone, within the airline's reaccommodation rules and passenger rights, handing complex itineraries and upset customers to a human with the context attached.
AI network outage communication is an agent that turns network alarms into a clear picture of which customers are affected by an outage and why. It proactively tells those customers by message, app or phone, giving a cause and an estimated fix time, answers their questions during the incident, and updates them until service is restored.
An AI agent for outbound sales prospecting researches target accounts and contacts, and drafts personalized outbound outreach for a sales team. It writes the emails, LinkedIn messages and call scripts from the campaign, the prospect's context and the sales goals, and sequences the follow ups, with a sales development rep approving or sending every message.
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.
Ambient clinical documentation is an AI scribe that listens, with the patient's consent, to the conversation between a clinician and a patient and drafts the clinical note. It often also drafts the letter or after visit summary, for the clinician to review, edit and sign in the health record; it documents and does not diagnose or decide on treatment.
A B2B telecom quoting and service assistant is an AI that answers business customers' product, pricing and contract questions and prepares configurations and quotes for connectivity, mobile fleets and devices. It also serves the sellers who look after these accounts, drafts responses to tenders, and handles routine service requests and fault tickets, with a sales or service specialist approving anything binding.
An AI assistant for goal based financial planning is an AI assistant that turns a client's goals into projections and what if scenarios using a rules based planning engine. It explains the trade offs in plain language and prepares the plan for an advisor to validate, with every assumption disclosed and reproducible.
An insurance broker and agent assistant is AI that answers product, underwriting and process questions for tied agents, independent brokers, advisors and insurers' own distribution staff from approved sources. It also prepares personalized customer engagement and follow ups, validates and prioritizes leads, and drafts meeting notes and emails, so producers spend more time with customers.
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.
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 copilot that helps relationship managers, mainly in corporate and commercial banking, prepare for client meetings and write up call reports afterwards. It builds a briefing pack from filings, news, internal notes, product holdings and upcoming maturities, then turns the banker's notes into a structured call report and CRM update. Unlike a meeting notetaker, it centres on credit and cross sell context, not just the conversation; wealth advisor tools that also prepare meetings overlap with it, and the banker reviews every output.
AI marketing content and compliance copilot drafts campaign copy and checks it against advertising rules before a human approves it for publication. It writes campaign copy, product explainers and social posts on brand and in the customer's language from approved product facts, then runs a first pass compliance check against advertising rules and required disclosures, flagging unsupported claims and missing warnings before a human in marketing compliance approves publication.
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.
SAR and STR drafting is generative AI that writes the narrative of a suspicious activity or transaction report from the investigation file, with every fact linked to its source record. It covers who, what, when, where, why and how, case by case, so the investigator verifies, edits and files instead of starting from a blank page, unlike the periodic data returns of regulatory reporting.
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.
AI drafted explanations for credit declines and adverse actions come from an assistant that turns a credit model's reason codes into an accurate, specific and readable explanation for the customer. It explains a decline, reduced limit or repricing, and produces a matching internal rationale for the file, without adding any reason the model did not actually produce.
A civil servant drafting copilot is a generative AI assistant that drafts replies to correspondence from the public and elected representatives, briefings, submissions and summaries for civil servants. It is grounded in the department's approved lines, policy documents and case data, with the official editing and approving every word before it is sent or cleared.
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.
Generative AI for patient portal message reply drafting reads an incoming patient portal message together with the patient's own chart and drafts a reply for the care team. A clinician, nurse, advanced practice clinician or pharmacist reviews, edits and sends it, so the care team starts from a draft instead of a blank reply box on every message.
AI case note drafting for social workers is a generative AI tool, often built on speech to text, that turns a visit or assessment account into a first draft. That account can be a recorded conversation or the worker's own dictated or typed prompt, and the draft matches the case note or statutory assessment format the record needs. The social worker checks, corrects and signs it before it joins the record.
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.
Training content generation is AI that helps learning and development teams turn source material into employee training content. It turns procedures, product documentation and policies into course outlines, lesson text, quizzes, narration, avatar videos and translations, which instructional designers and subject matter experts review before publishing.
AI for outbound notice drafting writes the letters and notices operations must send at scale, such as arrears notices or decline letters. It also covers complaint responses, servicing confirmations and product change notices, from case data and approved templates and clauses, in the customer's language, for a person to approve where the notice is regulated.
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 legislative drafting and parliamentary question support helps legislative counsel and policy officials search, summarise and draft the material behind new laws and government answers to parliamentarians. It also works for ministers' private offices, from finding relevant debates and prior questions to producing a first draft of an explanatory note or briefing, with the legal drafter or policy official responsible for the final text.
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.
Police incident report drafting is an AI tool that turns body worn camera audio into a first draft of a police incident report narrative. The tool works from the transcript of the audio, and the officer who was on the call must review, correct and sign the draft before it becomes part of the official record.
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 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.
Regulatory report assembly is AI that assembles periodic and data driven filings and returns, pulling data into the regulator's schema and validating it, before a named officer reviews and submits. Examples include prudential and statistical returns, threshold and transaction reports and disclosure packs. It also reconciles figures to source, explains movements against prior periods and drafts commentary; narratives for individual suspicious activity cases are a separate use case.
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.
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.
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 knowledge article generation is AI that drafts support knowledge base articles from resolved tickets, cases and conversations. It also detects questions the knowledge base does not answer and articles that are outdated or contradict each other, and proposes new or revised articles for a knowledge owner to review and publish.
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.
AI generated ad creative production and testing is generative AI that creates the images, video and copy variants a paid media campaign needs, for marketers. It scores or tests the variants against real performance data and lets a marketer pick, adjust and publish the ones that work, instead of a manual shoot and edit for every format and audience segment. This page covers making and testing the creative itself; choosing which offer or message to show which customer is covered separately under AI marketing personalization at scale.
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.
AI live sports commentary turns a sporting event's own data into written commentary and insight for fans as the action happens, instead of or alongside a human broadcaster. It works from inputs such as ball and player tracking, match events and statistics, and can optionally use text to speech to voice the output for a spoken version.
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 content localization translates and adapts an organization's commercial content for each market and language, so marketing and product teams can reach customers in their own language. It works across campaigns, emails, product pages, help content and websites, using the brand's glossary, style guide and past approved translations, then routes output to human linguists and local marketers for review in proportion to how visible and risky the content is.
AI marketing personalization at scale is AI that decides, for each customer, which product, offer, message or content to show next, for a marketing team running many campaigns. It works across email, app, web and paid media, and generates the matching copy and creative variants within brand and compliance rules. It is the team's engine across many campaigns and channels, not an agent that converses with the customer.
An AI notetaker that turns a wealth advisor's client meeting into a file note, follow up message and CRM record the firm needs to evidence its advice. The meeting is recorded with the client's consent, and the notetaker drafts a structured note with the client's goals, circumstances, decisions and action items, then writes it into the CRM once the advisor approves it; unlike a general meeting summarizer, its output becomes part of the regulated client record.
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.
AI next best action for advisors is an engine for wealth advisors, not customers, that scans an advisor's whole book and surfaces a short, ranked list of client specific prompts. Prompts include idle cash, a maturing deposit, a concentration to review, a life event or an early sign of attrition, each with the reasoning and data behind it, for the advisor to act on or dismiss.
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.
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.
AI catalog enrichment is AI that drafts and repairs product content, such as titles, descriptions and alt text, for online retailers at catalog scale. It also extracts missing attributes such as color, size and material from supplier text and product images, and checks its own output before the content is published to the store and to search engines. A human owns the rules, the quality thresholds and the exceptions.
AI reply drafting for customer email and support tickets is a copilot that drafts the reply to an incoming email, message or ticket once it reaches a service agent. It summarizes the request, pulls the relevant customer data and approved knowledge, and drafts the reply in the organization's tone and the customer's language for the agent to check, edit and send. Live calls and chats, and the sorting of the inbox itself, are separate use cases.
AI conversation roleplay training is a simulator where generative AI plays a realistic customer, by voice or text, so staff can rehearse difficult conversations. Service, sales and crisis staff can practice as often as they need before handling live conversations, and receive structured feedback against the organization's own standards.
Sales call coaching and CRM update is AI for sales teams that analyses sales calls and meetings against the team's own sales method to coach sellers and their managers. It also writes the call summary, next steps and opportunity updates into the CRM for the seller to confirm, aiming at winning deals and building selling skill, not the regulated advice record or general meeting notes.
Sign language avatar translation is AI that turns written content and video captions into a sign language such as British or American Sign Language, shown by a rendered signing avatar. This lets Deaf and hard of hearing people get travel updates, public information and training content without waiting for a human interpreter to be filmed or booked.
Investment research summarization is an AI assistant that condenses long research reports, overnight market moves and the house view into short, sourced briefings for advisors and analysts. It answers "what is our view on X" on demand and adapts approved research for different client segments and languages, with every figure traced to the original research.
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 transcription and captioning is AI that transcribes recorded audio and video, such as podcasts, broadcasts, lessons, interviews and hearings, in several languages. It separates the speakers and produces timed transcripts, subtitles and captions for a human editor to check, delivered as files for publishing or the archive.
AI nursing voice documentation is software that lets a nurse record patient observations by voice at the bedside, straight into the electronic health record. It also drafts a structured end of shift care plan note from the patient's chart for the nurse to review, edit and sign, so documentation happens during the shift instead of after it.
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.
Live agent assist is AI that helps a contact centre agent during a live call or chat by transcribing it and surfacing the right knowledge and next step. It also drafts responses and writes the after call summary and CRM notes, while the agent stays in control of what is said and done.
Computed from the 332 public deployments behind these use cases. Numbers update with every checked record.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Handling time reduction | 54.5% | 8.2% to 90% Not pooled: up to 20% | 20plus 1 up to | 8 organization, 12 vendor |
| Cycle time reduction | 63.5% | 25% to 96% Not pooled: up to 70%, up to 30% | 18plus 2 up to | 4 organization, 14 vendor |
| Productivity gain | 39.5% | 13.4% to 86% Not pooled: up to 16% | 12plus 1 up to | 5 organization, 7 vendor |
| Time saved per task | 12.5 minutes | 3 minutes to 120 minutes Not pooled: up to 225 minutes, up to 120 minutes | 6plus 2 up to | 3 organization, 3 vendor |
| Accuracy | 92% | 75% to 100% | 7 | 4 organization, 3 vendor |
| Cost reduction | 50% | 4% to 90% | 5 | 1 organization, 4 vendor |
