[{"data":1,"prerenderedAt":676},["ShallowReactive",2],{"uc-insurance-broker-and-agent-assistant":3,"uc-regulations":471},{"useCase":4,"evidence":197,"blitsAiDeployments":350,"benchmarks":351,"indicative":358,"related":361,"indexability":469,"includeUnpublished":203},{"title":5,"shortTitle":6,"seoTitle":7,"metaDescription":8,"status":9,"definition":10,"aliases":11,"industries":15,"functions":17,"patterns":20,"channels":25,"audience":29,"autonomy":30,"adoptionStage":31,"segment":32,"problem":33,"problemStats":34,"howItWorks":35,"valueDrivers":36,"kpis":41,"indicativeValue":48,"macroEstimates":81,"feasibility":82,"implementation":96,"risk":139,"blitsAi":173,"faq":175,"related":185,"datePublished":192,"dateModified":192,"lastVerified":192,"changelog":193,"slug":196},"AI assistant for insurance brokers and agents","Broker and agent assistant","AI assistant for insurance agents and brokers","AI assistants help insurance agents find product answers and draft follow ups. Manulife uses GenAI sales tools in nine markets; Prudential screens leads with AI.","published","An AI assistant for tied agents, independent brokers, advisors and the insurer's own distribution staff that answers product, underwriting and process questions from approved sources, prepares personalized customer engagement and follow ups, validates and prioritizes leads, and drafts meeting notes and emails, so producers spend more time with customers.",[12,13,14],"agent copilot for insurance","producer assistant","insurance sales enablement AI",[16],"insurance",[18,19],"sales","knowledge-management",[21,22,23,24],"rag-knowledge-assistant","recommendation-and-personalization","content-generation","summarization",[26,27,28],"mobile-app","internal-tools","microsoft-teams","employee-facing","assist","early-adopters","distribution","Insurance agents and brokers sell many products, each with product guides, underwriting rules and\nchanging campaigns. Finding the right answer (is this condition acceptable, which rider fits, what\ndocuments are needed) means calling a helpdesk or searching intranets, which slows agents down, especially new ones.\n\nAt the same time, agents spend time on admin: preparing for meetings, writing follow ups, logging\nactivity in the CRM and chasing leads that turn out to be poor. Insurers with large agency forces in\nAsia report sales or profit per active agent (Manulife and Prudential both disclose it), and at\nZurich the client and broker facing commercial insurance teams mind more than 100,000 active\nopportunities in their CRM, so small time savings per person add up.",[],"1. **Answer from approved content.** Agents ask questions in their own words and get answers\n   grounded in product guides, underwriting guidelines and procedures, with links to the source.\n2. **Prepare the customer conversation.** From CRM and policy data, the assistant suggests which\n   customers to contact and why (a policy anniversary, a gap in cover, a life event) and drafts a\n   personalized message for the agent to edit.\n3. **Qualify leads.** An AI agent contacts or screens incoming leads, validates contact details and\n   interest, and passes qualified leads to the agent with notes.\n4. **Handle the admin.** After a meeting the assistant drafts notes and follow ups and updates the\n   CRM for the agent to approve.\n5. **Coach.** Performance dashboards and call insights suggest where each agent can improve.",[37,38,39,40],"employee-productivity","revenue-growth","customer-experience","compliance",[42,43,44,45,46,47],"productivity-gain","interactions-handled","employee-adoption","time-saved-per-task","hours-saved","users-served",{"referenceOrg":49,"inputs":50,"formula":76,"currency":77,"period":78,"resultLabel":79,"caveat":80},"An insurer with 2,000 active tied agents",[51,56,63,69],{"key":52,"label":53,"low":54,"high":54,"unit":52,"note":55},"agents","Active agents using the assistant",2000,"The reference insurer.",{"key":57,"label":58,"low":59,"high":60,"unit":61,"note":62},"hoursSavedPerWeek","Hours saved per agent per week",0.5,2,"hours per week","Editorial assumption for product lookups, meeting preparation and follow up drafting. Replace with your own time study.",{"key":64,"label":65,"low":66,"high":66,"unit":67,"note":68},"weeksPerYear","Working weeks per year",46,"weeks","Editorial assumption.",{"key":70,"label":71,"low":72,"high":73,"unit":74,"note":75},"valuePerHour","Value of an agent hour redeployed to selling",25,40,"USD per hour","Editorial assumption, replace with your own figure for agent earnings per hour.","agents * hoursSavedPerWeek * weeksPerYear * valuePerHour","USD","per year","Value of agent time redeployed to selling","Time value only; it assumes saved time goes into customer contact. It leaves out any sales uplift, licence and platform costs, content maintenance and the compliance review of AI drafted customer messages.",[],{"complexity":83,"complexityNote":84,"dataPrerequisites":85,"integrations":90},"medium","Knowledge answering on approved content is well understood. Personalized engagement and lead qualification need clean CRM and policy data, consent for contact, and compliance review of what the assistant suggests agents say.",[86,87,88,89],"Current product guides, underwriting guidelines and sales procedures with owners","CRM and policy data per agent's book, with contact consent flags","Approved message templates and compliance rules for customer communications","Lead sources and qualification criteria",[91,92,93,94,95],"Agent portal or mobile app","CRM (for example Dynamics 365 or Salesforce)","Policy administration for in force data","Email, calendar and Microsoft Teams","Telephony or messaging for lead qualification",{"steps":97,"guardrails":113,"humanInTheLoop":119,"kpisToInstrument":120,"failureModes":126},[98,101,104,107,110],{"title":99,"detail":100},"Start with the question agents ask most","Mine helpdesk tickets and calls from agents to find the top product and underwriting questions and build the first version around them.",{"title":102,"detail":103},"Own the content","Give every product guide and guideline an owner and a review date; stale content is the main reason agents stop trusting the assistant.",{"title":105,"detail":106},"Keep agents in control of customer messages","Drafts are suggestions the agent edits and sends; nothing goes to a customer automatically, and compliance approves the templates behind them.",{"title":108,"detail":109},"Pilot in one market and measure productivity","Compare active agents using the assistant with a similar group on activity, conversion and time to first sale for new agents.",{"title":111,"detail":112},"Add lead qualification carefully","When an AI contacts leads directly it becomes customer facing: add disclosure, consent checks and a clean handover to the agent.",[114,115,116,117,118],"Answers only from approved, current content, with sources shown","No automatic sending of customer messages; agents approve every draft","Customer data access limited to the agent's own book","Contact suggestions respect marketing consent and do not target vulnerable customers inappropriately","Clear disclosure when an AI agent contacts a lead directly","Agents decide what to recommend and send. Distribution compliance approves templates and reviews a sample of AI assisted communications, and product owners keep the content current.",[121,122,123,124,125],"Weekly active agents as a share of the agency force","Questions answered without escalation to the helpdesk","Share of qualified leads followed up by agents","New business per active agent, assistant users versus comparison group","Compliance findings on AI assisted communications",[127,130,133,136],{"title":128,"detail":129},"Confident answers from old guides","An agent quotes a withdrawn product feature to a customer. Retire content on schedule and show the document date with every answer.",{"title":131,"detail":132},"Personalization that crosses a line","Suggestions use data the customer did not expect to be used for sales. Check purpose and consent for every data source.",{"title":134,"detail":135},"Adoption stalls after launch","Agents try it once and go back to the helpdesk. Measure weekly active use and fix the top unanswered questions every week.",{"title":137,"detail":138},"Productivity claims without a comparison","Agent productivity rises for many reasons. Use a comparison group before attributing gains to the assistant.",{"euAiAct":140,"regulations":143,"guidance":149,"controls":165,"incidents":172},{"tier":141,"basis":142},"context-dependent","An employee facing assistant for knowledge answers and drafting is not listed in Annex III and is minimal risk. A lead qualification agent that talks to customers must tell them they are dealing with AI (Article 50). Using performance insights to monitor and evaluate individual agents, or to allocate leads based on their behaviour or traits, is high risk under Annex III point 4(b), and any component that does risk assessment or pricing of life or health insurance for individuals is high risk under Annex III point 5(c).",[144,145,146,147,148],"eu-ai-act","gdpr","uk-consumer-duty","iso-42001","eu-idd",[150,156,160],{"title":151,"issuer":152,"region":153,"url":154,"note":155},"Insurance Distribution Directive (IDD)","European Insurance and Occupational Pensions Authority","europe","https://www.eiopa.europa.eu/browse/regulation-and-policy/insurance-distribution-directive-idd_en","Conduct, product information and demands and needs rules apply to what agents tell customers, including when an AI drafted it.",{"title":157,"issuer":152,"region":153,"url":158,"note":159},"Opinion on Artificial Intelligence governance and risk management","https://www.eiopa.europa.eu/publications/opinion-artificial-intelligence-governance-and-risk-management_en","Addressed to national supervisors; explains how existing insurance rules on governance, risk management and fair treatment of customers apply to AI systems that are not high risk under the AI Act.",{"title":161,"issuer":162,"region":153,"url":163,"note":164},"Annex III, high risk AI systems referred to in Article 6(2)","European Union","https://artificialintelligenceact.eu/annex/3/","Point 4(b) covers monitoring and evaluating the performance of people in work relationships; point 5(c) covers risk assessment and pricing in life and health insurance.",[166,167,168,169,170,171],"Content ownership and review dates for every source document","Compliance approval of message templates and a monthly sample review","Access control by agent book and role","Consent checks before contact suggestions","Usage and outcome monitoring by market","Performance insights coach agents and are not used on their own for decisions on contracts, commission or lead allocation",[],{"howToBuild":174},"On Blits.ai this is an **AI agent** in the insurer's agent portal or app (through the **web chat**\nor **API channel**) or in **Microsoft Teams**, grounded in a **knowledge base** of product guides\nand guidelines with **hybrid retrieval** and **document version control**, so answers come from\nthe current version. The ready made **Microsoft Dynamics 365** tool, or **custom functions** for\nanother CRM such as Salesforce, read the agent's book and write approved notes back to the CRM.\n\nLead qualification runs as a separate customer facing agent that screens incoming leads on\n**voice or WhatsApp**, with AI disclosure and **human handover** to the assigned agent. Drafted customer messages pass **output\nguardrails** that apply the insurer's communication rules, and **agentic workflows** triggered on a\nschedule can prepare follow up lists for agents to approve. **Test suites** check answers against\nthe latest product content, and **analytics** show usage and unanswered questions.",[176,179,182],{"question":177,"answer":178},"What do insurers use AI assistants for in their agency force?","Manulife has deployed GenAI sales enablement across nine markets, with engagement insights, email drafting and coaching; Prudential uses an AI talkbot to validate leads and a GenAI performance platform for agents; Sun Life gives advisors a GenAI chatbot and a notes assistant.",{"question":180,"answer":181},"Is there evidence it makes agents more productive?","Some. Waterdrop reports its Life Planner Copilot handled 300,000 product consultations for its online consultants, and Prudential reports an initial result of 98 per cent of leads validated by its talkbot in the Philippines being adopted by agents for follow up. None of the insurers cited here publish productivity figures against a comparison group.",{"question":183,"answer":184},"Who is responsible for what the agent tells the customer?","The agent and the insurer or broker, as today. AI drafts do not change distribution rules under the IDD or conduct rules such as the FCA Consumer Duty, so templates need compliance approval and agents should edit before sending.",[186,187,188,189,190,191],"conversational-insurance-quote-and-buy","underwriting-risk-assessment-copilot","sales-call-coaching-and-crm-update","wealth-advisor-knowledge-assistant","client-meeting-notes-and-crm-update","insurance-renewal-and-retention","2026-09-27",[194],{"date":192,"note":195},"First published","insurance-broker-and-agent-assistant",[198,232,265,297,322],{"title":199,"useCases":200,"organization":201,"vendors":206,"summary":209,"stage":210,"year":211,"channels":212,"languages":213,"metrics":214,"outcomeDisclosed":215,"sources":216,"verification":226,"grade":229,"id":230,"organizationSlug":231},"Manulife: GenAI sales enablement for agents, advisors and distribution partners",[196],{"name":202,"anonymized":203,"country":204,"region":205,"industry":16},"Manulife",false,"CA","global",[207],{"name":202,"role":208},"in-house","Manulife's annual reports describe a generative AI sales tool in Singapore and Japan that drafts personalized engagement strategies for agents from customer needs, demographics and transaction history. By 2025 it had deployed GenAI sales enablement across nine markets and all four operating segments, with engagement insights, automated email drafting and real time coaching; in Hong Kong it launched AI Sales Pro for agents, and in Indonesia, Singapore and Japan AI assistants give agents faster access to product and policy information. In U.S. Retirement (part of its Global Wealth and Asset Management segment), Manulife says an AI sales enablement solution reduced time spent on information searches and tripled the number of sales opportunities compared with 2024.","scaled",2025,[27,26],[],[],true,[217,222],{"url":218,"title":219,"publisher":220,"date":221},"https://www.sec.gov/Archives/edgar/data/1086888/000108688826000003/a2025annualmdareport.htm","Manulife 2025 Annual Management's Discussion and Analysis (Form 40-F, Exhibit 99.2)","Manulife via SEC EDGAR","2026-02-11",{"url":223,"title":224,"publisher":220,"date":225},"https://www.sec.gov/Archives/edgar/data/1086888/000108688825000054/a2024annualmdareport.htm","Manulife 2024 Annual Management's Discussion and Analysis (Form 40-F, Exhibit 99.2)","2025-02-19",{"level":227,"checkedAt":228},"source-verified","2026-09-26","B","manulife-genai-sales-enablement","manulife",{"title":233,"useCases":234,"organization":236,"vendors":239,"summary":241,"stage":242,"year":211,"channels":243,"languages":245,"metrics":247,"outcomeDisclosed":215,"sources":257,"verification":262,"grade":229,"id":263,"organizationSlug":264},"Sun Life: AI in individual insurance underwriting, contact centre chat and advisor tools",[235,196],"insurance-policy-servicing-agent",{"name":237,"anonymized":203,"country":204,"region":238,"industry":16},"Sun Life","north-america",[240],{"name":237,"role":208},"Sun Life's 2025 annual report says AI tools cut median response times for individual insurance applications in a target segment by close to half, including a 50% increase in straight through underwriting. In its Client Contact Centre, generative AI raised chatbot containment by 16 percentage points year over year, and advisors use a generative AI Notes Assistant Tool; in Hong Kong it launched Advisory Buddy, a GenAI chatbot inside its Advisor Workbench. In Malaysia almost two thirds of clients received automated underwriting decisions within two hours.","production",[27,244],"web-chat",[246],"en",[248],{"kpi":249,"value":250,"unit":251,"qualifier":252,"period":253,"claimant":254,"quote":255,"sourceUrl":256},"processing-time-reduction",50,"percent","approximately","median response time for individual insurance applications, target segment, 2025","organization","Leveraged AI tools to do more for our Clients including reduced median response times for individual insurance applications for a target segment by close to half (including increasing straight-through underwriting by 50%), increased chatbot containment rate (up 16 percentage points year-over-year) with generative AI tools in the Client Contact Centre, and enhanced advisor productivity using a generative AI-powered Notes Assistant Tool.","https://www.sec.gov/Archives/edgar/data/1097362/000109736226000010/a2025q4slfmdalive.htm",[258],{"url":256,"title":259,"publisher":260,"date":261},"Sun Life Financial Inc. Management's Discussion and Analysis for 2025 (Form 40-F, Exhibit 99.1)","Sun Life via SEC EDGAR","2026-02-12",{"level":227,"checkedAt":228},"sun-life-ai-underwriting-and-client-service",null,{"title":266,"useCases":267,"organization":268,"vendors":272,"summary":274,"stage":210,"year":211,"channels":275,"languages":276,"metrics":278,"outcomeDisclosed":215,"sources":286,"verification":295,"grade":229,"id":296,"organizationSlug":264},"Waterdrop: Waterdrop Guardian AI suite for insurance sales, service, consultants and underwriting",[235,196],{"name":269,"anonymized":203,"country":270,"region":271,"industry":16},"Waterdrop","CN","asia-pacific",[273],{"name":269,"role":208},"Waterdrop, a Chinese online insurance distribution and health services platform, runs a suite of AI applications called Waterdrop Guardian that either talk to users directly or support its online insurance consultants. In its second quarter 2025 results it reported that its AI Customer Service Agent resolved 60% of inquiries on first contact, that its Life Planner Copilot handled 300,000 product consultations for consultants, and that premiums facilitated by its AI Medical Insurance Expert rose 155% from the previous quarter (the release does not say whether this tool talks to users directly or supports consultants). It also launched KEYI.AI, a real time AI underwriting assistant for consultants. Its 2023 annual report describes an earlier LLM powered AI Insurance Consultant that was tested internally in medical insurance scenarios, an internal test rather than a sales deployment.",[26,27],[277],"zh",[279],{"kpi":280,"value":281,"unit":251,"qualifier":282,"period":283,"claimant":254,"quote":284,"sourceUrl":285},"first-contact-resolution",60,"exact","second quarter 2025, AI Customer Service Agent","‘AI Customer Service Agent’ resolved 60% of inquiries on first contact, enhancing user experience.","https://www.sec.gov/Archives/edgar/data/1823986/000110465925087282/tm2524976d1_ex99-1.htm",[287,291],{"url":285,"title":288,"publisher":289,"date":290},"Waterdrop Inc. second quarter 2025 unaudited financial results (Form 6-K, Exhibit 99.1)","Waterdrop via SEC EDGAR","2025-09-04",{"url":292,"title":293,"publisher":289,"date":294},"https://www.sec.gov/Archives/edgar/data/1823986/000110465924051464/wdh-20231231x20f.htm","Waterdrop Inc. annual report for 2023 (Form 20-F)","2024-04-25",{"level":227,"checkedAt":228},"waterdrop-guardian-ai-insurance-assistants",{"title":298,"useCases":299,"organization":300,"vendors":303,"summary":305,"stage":242,"year":306,"channels":307,"languages":308,"metrics":309,"outcomeDisclosed":215,"sources":310,"verification":320,"grade":229,"id":321,"organizationSlug":264},"Prudential plc: AI lead validation talkbot, PruAction and a health AI chatbot for agents",[196],{"name":301,"anonymized":203,"country":302,"region":271,"industry":16},"Prudential plc","HK",[304],{"name":301,"role":208},"Prudential uses AI across its Asian agency force. An AI talkbot validates and enriches leads before they reach agents in Singapore and the Philippines; for the Philippines, launched in the second half of 2024, Prudential reported an initial result of 98 per cent of the talkbot's validated leads being adopted by agents for follow up. In 2025 it launched PruAction in Singapore, a generative AI performance management platform with real time insights for agents, and introduced a Health AI chatbot in Singapore that helps agents access information more quickly. Prudential lists these tools among its agent productivity initiatives but does not attribute its productivity figures to them.",2024,[27],[],[],[311,316],{"url":312,"title":313,"publisher":314,"date":315},"https://www.sec.gov/Archives/edgar/data/1116578/000110465925025883/tm2429688d4_6k.htm","Prudential plc 2024 full year results (Form 6-K)","Prudential plc via SEC EDGAR","2025-03-20",{"url":317,"title":318,"publisher":314,"date":319},"https://www.sec.gov/Archives/edgar/data/1116578/000162828026019027/fullyearprelimreport.htm","Prudential plc 2025 full year results (Form 6-K)","2026-03-18",{"level":227,"checkedAt":228},"prudential-plc-ai-agency-tools",{"title":323,"useCases":324,"organization":325,"vendors":328,"summary":332,"stage":242,"year":211,"channels":333,"languages":335,"metrics":336,"outcomeDisclosed":215,"sources":343,"verification":347,"grade":348,"id":349,"organizationSlug":264},"Zurich Insurance Group: Copilot for Sales to keep commercial insurance CRM data current",[188,196,191],{"name":326,"anonymized":203,"country":327,"region":153,"industry":16},"Zurich Insurance Group","CH",[329],{"name":330,"role":331},"Microsoft","platform","Zurich's commercial insurance teams manage more than 100,000 active opportunities in Dynamics 365, and switching applications to copy updates from email into the CRM left data at risk of going stale. With Microsoft 365 Copilot for Sales, 300 users create and update contacts and link emails to opportunities from Outlook, get summaries of relationships and long email threads, and draft emails. Zurich estimates about 14,000 hours saved over the next year; that is an estimate, not a measured result. The story also says user feedback indicates the tool improves Zurich's sales and retention ratios, without figures.",[334,28,27],"email",[246],[337],{"kpi":47,"value":338,"unit":339,"qualifier":282,"claimant":340,"quote":341,"sourceUrl":342},300,"count","vendor","Copilot for Sales has quickly become a critical productivity tool for Zurich’s 300 Copilot users, who find even more benefits as they continue to work with it in Outlook.","https://www.microsoft.com/en/customers/story/23452-zurich-schweiz-microsoft-365-copilot-for-sales",[344],{"url":342,"title":345,"publisher":346},"Zurich Insurance enhances customer relationships with Dynamics 365 and Microsoft 365 Copilot for Sales","Microsoft Customer Stories",{"level":227,"checkedAt":228},"C","zurich-copilot-for-sales-crm-updates",0,[352],{"kpi":47,"label":353,"unit":339,"aggregate":203,"higherIsBetter":215,"n":354,"nUpTo":350,"median":338,"min":338,"max":338,"byClaimant":355,"vendorOnly":215,"points":356},"Users served",1,{"organization":350,"vendor":354,"regulator":350,"independent":350},[357],{"evidenceId":349,"organization":326,"value":338,"qualifier":282,"claimant":340,"grade":348,"pooled":215},{"low":359,"high":360},1150000,7360000,[362,377,400,420,439,456],{"slug":186,"title":363,"shortTitle":364,"definition":365,"status":9,"industries":366,"functions":367,"patterns":369,"audience":373,"autonomy":374,"adoptionStage":31,"segment":32,"evidenceCount":354,"publicEvidenceCount":354,"organizations":375,"bestGrade":229,"headline":264,"lastVerified":192,"indexable":215},"Conversational AI for insurance quote and buy","Conversational quote and buy","A customer facing AI agent that sells insurance directly in a conversation: it asks the rating questions in plain language, explains cover options, returns a price from the insurer's rating engine, handles objections and takes payment to bind the policy, with a licensed human available for advice and anything outside its limits.",[16],[18,368],"customer-service",[370,371,22,372],"conversational-agent","agentic-workflow","voice-agent","customer-facing","supervised-agent",[376],"Lemonade",{"slug":187,"title":378,"shortTitle":379,"definition":380,"status":9,"industries":381,"functions":382,"patterns":385,"audience":29,"autonomy":386,"adoptionStage":31,"segment":383,"evidenceCount":387,"publicEvidenceCount":387,"organizations":388,"bestGrade":229,"headline":397,"lastVerified":228,"indexable":215},"AI copilot for underwriting risk assessment","Underwriting risk assessment copilot","A copilot that assembles everything relevant to a risk (the submission, loss history, internal guidelines, 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.",[16],[383,384],"underwriting","risk-management",[21,24,23,371],"copilot",8,[389,390,391,392,393,394,395,396],"Accelerant Holdings","American International Group","Arch Capital Group","Bowhead Specialty","Generali Global Corporate & Commercial","Hiscox","Skyward Specialty Insurance Group","Zurich North America",{"kpi":249,"label":398,"unit":251,"n":354,"nUpTo":350,"kind":399,"value":250,"qualifier":282,"claimant":340,"organization":393,"vendorReported":215},"Cycle time reduction","reported",{"slug":188,"title":401,"shortTitle":402,"definition":403,"status":9,"industries":404,"functions":408,"patterns":409,"audience":29,"autonomy":386,"adoptionStage":31,"evidenceCount":411,"publicEvidenceCount":411,"organizations":412,"bestGrade":348,"headline":416,"lastVerified":192,"indexable":215},"AI sales call coaching and CRM update","Sales call coaching and CRM update","AI for sales teams that analyses sales calls and meetings against the team's own sales method to coach sellers and their managers, and writes the call summary, next steps and opportunity updates into the CRM for the seller to confirm. Its purpose is winning deals and building selling skill, not the regulated advice record or general meeting notes.",[405,406,407,16],"cross-industry","telecommunications","manufacturing",[18],[410,24,23],"speech-analytics",4,[413,414,415,326],"Hughes Network Systems","Lumen Technologies","Sandvik Coromant",{"kpi":45,"label":417,"unit":418,"n":354,"nUpTo":354,"kind":399,"value":419,"qualifier":282,"claimant":254,"organization":415,"vendorReported":203},"Time saved per task","minutes",3,{"slug":189,"title":421,"shortTitle":422,"definition":423,"status":9,"industries":424,"functions":427,"patterns":428,"audience":29,"autonomy":30,"adoptionStage":429,"segment":430,"evidenceCount":431,"publicEvidenceCount":431,"organizations":432,"bestGrade":229,"headline":264,"lastVerified":228,"indexable":215},"AI knowledge assistant for wealth advisors and relationship managers","Advisor knowledge assistant","A conversational assistant that answers a wealth advisor's or relationship manager's questions in seconds from the firm's own research, house view, product documentation and policies, with every answer linked to the source document so the advisor can check it before using it with a client.",[425,426],"wealth-and-asset-management","banking",[19,18,368],[21,370],"mainstream","front-office",6,[433,434,435,436,437,438],"Bank of America","Citi","JPMorgan Chase","Morgan Stanley","UBS","Yes Bank",{"slug":190,"title":440,"shortTitle":441,"definition":442,"status":9,"industries":443,"functions":444,"patterns":447,"audience":29,"autonomy":386,"adoptionStage":429,"segment":430,"evidenceCount":431,"publicEvidenceCount":431,"organizations":448,"bestGrade":229,"headline":453,"lastVerified":192,"indexable":215},"AI meeting notes and CRM update for wealth advisors","Advisor meeting notes","An AI notetaker for wealth advisors that turns a client advice meeting, recorded with the client's consent, into the file note, follow up message and CRM record the firm needs to evidence its advice; unlike a general meeting summarizer, its output becomes part of the regulated client record. It drafts a structured note with the client's goals, circumstances, decisions and action items, and writes it into the CRM once the advisor has approved it.",[425,426],[18,445,446],"regulatory-compliance","operations",[24,410,371,23],[433,449,436,450,451,452],"Commerzbank","Quilter","SEB","UniSuper",{"kpi":42,"label":454,"unit":251,"n":354,"nUpTo":350,"kind":399,"value":455,"qualifier":282,"claimant":340,"organization":451,"vendorReported":215},"Productivity gain",15,{"slug":191,"title":457,"shortTitle":458,"definition":459,"status":9,"industries":460,"functions":461,"patterns":462,"audience":465,"autonomy":386,"adoptionStage":466,"segment":32,"evidenceCount":419,"publicEvidenceCount":419,"organizations":467,"bestGrade":229,"headline":264,"lastVerified":228,"indexable":215},"AI for insurance renewal processing and customer retention","Renewal and retention","AI that prepares and runs the renewal cycle: it digitizes renewal submissions and changes in risk for underwriters, flags policies at risk of lapsing or leaving, prepares the renewal conversation and answers customers' renewal questions, while renewal prices stay governed by the insurer's pricing rules and fair value obligations.",[16],[383,368,18],[463,464,370,22],"prediction-and-scoring","document-processing","back-office","emerging",[394,468,326],"Nsure.com",{"indexable":215,"reasons":470},[],[472,477,482,488,495,501,508,514,521,527,534,540,547,553,559,564,571,577,583,589,595,601,607,612,617,624,630,635,639,647,653,659,665,670],{"id":144,"label":473,"issuer":162,"region":153,"url":474,"description":475,"useCases":476,"indexable":215},"EU AI Act","https://eur-lex.europa.eu/eli/reg/2024/1689/oj","Regulation (EU) 2024/1689: risk based rules for AI systems, with obligations for high risk systems listed in Annex III and transparency duties under Article 50.",197,{"id":145,"label":478,"issuer":162,"region":153,"url":479,"description":480,"useCases":481,"indexable":215},"GDPR","https://eur-lex.europa.eu/eli/reg/2016/679/oj","General Data Protection Regulation, including Article 22 on decisions based solely on automated processing.",180,{"id":147,"label":483,"issuer":484,"region":205,"url":485,"description":486,"useCases":487,"indexable":215},"ISO/IEC 42001","ISO and IEC","https://www.iso.org/standard/81230.html","The international management system standard for AI.",110,{"id":489,"label":490,"issuer":491,"region":238,"url":492,"description":493,"useCases":494,"indexable":215},"nist-ai-rmf","NIST AI Risk Management Framework","NIST","https://www.nist.gov/itl/ai-risk-management-framework","Voluntary US framework to map, measure, manage and govern AI risk, with a generative AI profile.",83,{"id":496,"label":497,"issuer":162,"region":153,"url":498,"description":499,"useCases":500,"indexable":215},"dora","DORA","https://eur-lex.europa.eu/eli/reg/2022/2554/oj","Digital Operational Resilience Act for financial entities: ICT risk, incident reporting and third party risk, including AI providers.",66,{"id":502,"label":503,"issuer":504,"region":153,"url":505,"description":506,"useCases":507,"indexable":215},"uk-gdpr","UK GDPR","Information Commissioner's Office","https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/","The UK's version of the GDPR, including rules on solely automated decisions.",64,{"id":146,"label":509,"issuer":510,"region":153,"url":511,"description":512,"useCases":513,"indexable":215},"FCA Consumer Duty","Financial Conduct Authority","https://www.fca.org.uk/firms/consumer-duty","UK rules that require firms to deliver good outcomes for retail customers, including through automated channels.",47,{"id":515,"label":516,"issuer":517,"region":271,"url":518,"description":519,"useCases":520,"indexable":215},"mas-ai-risk-management","MAS AI risk management guidelines","Monetary Authority of Singapore","https://www.mas.gov.sg/news/media-releases/2025/mas-guidelines-for-artificial-intelligence-risk-management","Singapore's supervisory expectations for AI risk management at financial institutions, building on the FEAT principles.",36,{"id":522,"label":523,"issuer":524,"region":271,"url":525,"description":526,"useCases":72,"indexable":215},"apra-cps-230","APRA CPS 230","Australian Prudential Regulation Authority","https://www.apra.gov.au/operational-risk-management","Australian operational risk standard covering critical operations and material service providers.",{"id":528,"label":529,"issuer":530,"region":205,"url":531,"description":532,"useCases":533,"indexable":215},"pci-dss","PCI DSS","PCI Security Standards Council","https://www.pcisecuritystandards.org/","Security standard for any system that stores, processes or transmits cardholder data.",20,{"id":535,"label":536,"issuer":537,"region":238,"url":538,"description":539,"useCases":533,"indexable":215},"us-sr-11-7","SR 11-7 model risk management","Federal Reserve and OCC","https://www.federalreserve.gov/boarddocs/srletters/2011/sr1107.htm","US supervisory guidance on model risk management, applied by banks to AI and machine learning models.",{"id":541,"label":542,"issuer":543,"region":153,"url":544,"description":545,"useCases":546,"indexable":215},"uk-atrs","UK Algorithmic Transparency Recording Standard","UK Government","https://www.gov.uk/government/collections/algorithmic-transparency-recording-standard-hub","Mandatory transparency records for algorithmic tools used by UK central government.",16,{"id":548,"label":549,"issuer":550,"region":205,"url":551,"description":552,"useCases":455,"indexable":215},"fatf-recommendations","FATF Recommendations","Financial Action Task Force","https://www.fatf-gafi.org/en/publications/Fatfrecommendations/Fatf-recommendations.html","Global standards for anti money laundering and counter terrorist financing that national rules implement.",{"id":554,"label":555,"issuer":162,"region":153,"url":556,"description":557,"useCases":558,"indexable":215},"eu-amlr","EU Anti Money Laundering Regulation","https://eur-lex.europa.eu/eli/reg/2024/1624/oj","Regulation (EU) 2024/1624: the single EU rulebook for customer due diligence, beneficial ownership and suspicious transaction reporting.",14,{"id":560,"label":561,"issuer":162,"region":153,"url":562,"description":563,"useCases":558,"indexable":215},"nis2","NIS2 Directive","https://eur-lex.europa.eu/eli/dir/2022/2555/oj","Directive (EU) 2022/2555 on cybersecurity for essential and important entities, including telecom networks, energy and public administration.",{"id":565,"label":566,"issuer":567,"region":238,"url":568,"description":569,"useCases":570,"indexable":215},"us-bsa","Bank Secrecy Act","FinCEN","https://www.fincen.gov/resources/statutes-and-regulations/bank-secrecy-act","US anti money laundering law: customer due diligence, suspicious activity reports and record keeping.",13,{"id":572,"label":573,"issuer":162,"region":153,"url":574,"description":575,"useCases":576,"indexable":215},"eu-accessibility-act","European Accessibility Act","https://eur-lex.europa.eu/eli/dir/2019/882/oj","Directive (EU) 2019/882: accessibility requirements for banking services, ecommerce and other digital services, applicable since June 2025.",12,{"id":578,"label":579,"issuer":580,"region":238,"url":581,"description":582,"useCases":576,"indexable":215},"hipaa","HIPAA","US Department of Health and Human Services","https://www.hhs.gov/hipaa/index.html","US rules for the privacy and security of protected health information.",{"id":584,"label":585,"issuer":586,"region":205,"url":587,"description":588,"useCases":576,"indexable":215},"telecom-consumer-rules","Telecom consumer protection rules","National telecom regulators","https://www.berec.europa.eu/","National rules on telecom contracts, switching, billing disputes and marketing consent.",{"id":590,"label":591,"issuer":162,"region":153,"url":592,"description":593,"useCases":594,"indexable":215},"eecc","European Electronic Communications Code","https://eur-lex.europa.eu/eli/dir/2018/1972/oj","Directive (EU) 2018/1972: consumer protection, contract, switching and security rules for telecom operators.",11,{"id":596,"label":597,"issuer":598,"region":238,"url":599,"description":600,"useCases":594,"indexable":215},"us-tcpa","Telephone Consumer Protection Act","Federal Communications Commission","https://www.fcc.gov/consumers/guides/stop-unwanted-robocalls-and-texts","US consent rules for automated and prerecorded calls and texts; the FCC has confirmed AI generated voices count as artificial voices.",{"id":602,"label":603,"issuer":517,"region":271,"url":604,"description":605,"useCases":606,"indexable":215},"mas-notice-626","MAS Notice 626","https://www.mas.gov.sg/regulation/notices/notice-626","Singapore's anti money laundering and counter terrorism financing requirements for banks.",10,{"id":608,"label":609,"issuer":162,"region":153,"url":610,"description":611,"useCases":606,"indexable":215},"mifid-ii","MiFID II","https://eur-lex.europa.eu/eli/dir/2014/65/oj","Directive 2014/65/EU on markets in financial instruments: suitability and appropriateness of advice, record keeping and product governance.",{"id":613,"label":614,"issuer":162,"region":153,"url":615,"description":616,"useCases":606,"indexable":215},"eu-psd2","PSD2","https://eur-lex.europa.eu/eli/dir/2015/2366/oj","Payment Services Directive 2: strong customer authentication, transaction risk analysis exemptions and open banking access.",{"id":618,"label":619,"issuer":620,"region":153,"url":621,"description":622,"useCases":623,"indexable":215},"eba-loan-origination","EBA Guidelines on loan origination and monitoring","European Banking Authority","https://www.eba.europa.eu/regulation-and-policy/credit-risk/guidelines-on-loan-origination-and-monitoring","Expectations for credit decisioning, including the use of automated models.",9,{"id":625,"label":626,"issuer":627,"region":238,"url":628,"description":629,"useCases":387,"indexable":215},"us-ecoa-reg-b","ECOA and Regulation B","Consumer Financial Protection Bureau","https://www.consumerfinance.gov/rules-policy/regulations/1002/9/","US fair lending rules, including specific reasons in adverse action notices, which also apply when credit decisions use AI models.",{"id":631,"label":632,"issuer":162,"region":153,"url":633,"description":634,"useCases":387,"indexable":215},"solvency-ii","Solvency II","https://eur-lex.europa.eu/eli/dir/2009/138/oj","Directive 2009/138/EC: risk based capital, governance and model requirements for insurers.",{"id":148,"label":636,"issuer":162,"region":153,"url":637,"description":638,"useCases":431,"indexable":215},"Insurance Distribution Directive","https://eur-lex.europa.eu/eli/dir/2016/97/oj","Directive (EU) 2016/97: conduct rules for selling insurance, including demands and needs testing and advice.",{"id":640,"label":641,"issuer":642,"region":643,"url":644,"description":645,"useCases":646,"indexable":215},"cbuae-ai-guidance","CBUAE guidance on AI and ML","Central Bank of the UAE","middle-east","https://www.centralbank.ae/","UAE central bank expectations for the enabling technologies, AI and machine learning used by licensed financial institutions.",5,{"id":648,"label":649,"issuer":650,"region":153,"url":651,"description":652,"useCases":411,"indexable":215},"pra-ss1-23","PRA SS1/23 model risk management","Prudential Regulation Authority","https://www.bankofengland.co.uk/prudential-regulation/publication/2023/may/model-risk-management-principles-for-banks-ss","UK model risk management principles for banks, covering AI and machine learning models.",{"id":654,"label":655,"issuer":656,"region":153,"url":657,"description":658,"useCases":411,"indexable":215},"uk-psr-app-reimbursement","UK APP scam reimbursement rules","Payment Systems Regulator","https://www.psr.org.uk/our-work/app-scams/","Mandatory reimbursement of authorised push payment scam victims by UK payment firms, which shifts scam losses onto banks.",{"id":660,"label":661,"issuer":662,"region":271,"url":663,"description":664,"useCases":419,"indexable":215},"au-scams-prevention-framework","Australian Scams Prevention Framework","Australian Treasury","https://treasury.gov.au/consultation/c2024-573813","Economy wide obligations for banks, telcos and digital platforms to prevent, detect, disrupt and respond to scams.",{"id":666,"label":667,"issuer":162,"region":153,"url":668,"description":669,"useCases":419,"indexable":215},"eu-mar","EU Market Abuse Regulation","https://eur-lex.europa.eu/eli/reg/2014/596/oj","Regulation (EU) 596/2014: insider dealing and market manipulation, including the duty to detect and report suspicious orders and transactions.",{"id":671,"label":672,"issuer":673,"region":238,"url":674,"description":675,"useCases":419,"indexable":215},"us-fcra","Fair Credit Reporting Act","Federal Trade Commission","https://www.ftc.gov/legal-library/browse/statutes/fair-credit-reporting-act","US rules on consumer reports, their accuracy and permissible use, relevant to credit scoring and screening.",1790598297009]