Every H2O use case, by industry.
| What it does | Open | ||
|---|---|---|---|
| Account opening and card issuing | AI models that predict which account or card fits each applicant, check credit risk in real time and flag likely drop-off during digital onboarding. | Financial Services | |
| Accounting and auditing | AI accounting and auditing scores every journal entry and account balance for unusual patterns, so your auditors test the riskiest items first instead of a random sample. | Financial ServicesInsurance | |
| Agent and broker performance and next best action | Predictive models that score leads, compare producer performance, and suggest a next best action for each agent, broker or household, with reasons attached. | Insurance | |
| Anti-money laundering | AI anti-money laundering scores transaction-monitoring alerts, surfaces laundering patterns that fixed rules miss, and gives investigators a documented reason for every score. | Financial Services | |
| Application and account opening fraud | Application and account opening fraud detection scores each new application for stolen identities, synthetic identities and mule risk before the account opens, so only risky applicants reach your fraud analysts. | Financial ServicesTelecommunicationsInsurance | |
| Assembling prior authorization requests | An AI agent gathers chart documentation for an order, matches it to payer criteria, and drafts the prior-authorization request, with a person reviewing and submitting every one. | Healthcare | |
| Assembling the case and drafting the SAR narrative | An AI agent gathers the evidence behind a fraud or money-laundering alert, builds the case timeline, and drafts the suspicious activity report narrative for your analyst to review. | Financial Services | |
| Assortment optimization | Machine learning predicts which items will sell at each store from past sales, display space, local trends and weather, so you stock what sells and mark down less. | Retail and CPG | |
| Automated underwriting risk scoring | Automated underwriting risk scoring gives each new insurance application a risk score and explains it, so your underwriter decides every application with the reasons in front of them. | Insurance | |
| Bank statement and audit confirmation validation | Bank statement and audit confirmation validation uses AI to read bank confirmations, statements and invoices, check each value against your general ledger, and send only the differences to a person. | Financial Services | |
| Beneficial ownership intelligence | Beneficial ownership intelligence reads corporate documents and registry records, resolves the entities behind them, and shows the ownership chain with the source behind each link, for your analyst to review. | Financial Services | |
| Benefits claims and constituent case management | AI reads benefits claim documents, checks them for completeness, assembles the case file, and answers status and policy questions with citations, while your caseworker decides eligibility. | Government | |
| Biomedical literature and knowledge graph synthesis | AI biomedical literature synthesis reads publications and your internal reports, maps the genes, targets and findings they describe, and answers your scientists' questions with a citation for every statement. | Life Sciences | |
| Bond pricing and performance | AI bond pricing uses machine learning to predict fair reference prices and spreads for bonds that trade rarely or in volatile markets. | Financial Services | |
| Buy now, pay later (BNPL) credit risk | Machine learning scores buy now, pay later applicants at checkout using bureau and alternative data, sets a limit they can afford, and gives a reason for every decision. | Financial Services | |
| Call center optimization | Call center optimization uses predictive and generative models to classify every customer contact, suggest the resolution, and flag the callers most likely to leave, so your contact center resolves more on the first call. | Financial Services | |
| Call summary and resolution | Generative AI reads or listens to every recorded customer call, writes a short summary of what happened, and flags whether the issue was resolved so your team can follow up first. | TelecommunicationsRetail and CPGInsuranceFinancial ServicesHealthcare | |
| Capital and Basel reporting analytics | AI Basel reporting analytics answers your capital team's questions about risk-weighted assets, capital ratios and Pillar 3 disclosures from your own reports, with a citation to the source page. | Financial Services | |
| Cash optimization for ATMs and branches | Forecasting models that predict daily cash demand for each ATM and branch, so you stock enough to serve customers without idle cash sitting in machines. | Financial Services | |
| Check fraud | AI check fraud detection scores every check for counterfeit stock, forged signatures and altered amounts, so your team reviews only the risky items. | Financial Services | |
| Chest abnormality detection | Chest abnormality detection uses computer vision to flag chest X-rays that may show a heart or lung abnormality, so your radiologists read those studies first and can search similar prior cases. | Healthcare | |
| Claims fraud detection | Machine learning scores every insurance claim for fraud risk from first notice of loss onward, so the SIU works the claims most likely to be fraudulent. | Insurance | |
| Claims scoring, routing and denial review | Machine learning that scores each insurance claim on arrival, routes it by risk and complexity, and explains every score and denial with reason codes. | Insurance | |
| Classifying patient-reported drug reviews | AI reads what patients write about a drug in reviews and sorts each one as effective, ineffective or adverse, routing every possible adverse mention to a person for review. | Life Sciences | |
| Clinical credentialing document review | AI that reads TB test results, licences and certifications from photos and scans, checks each value against the credentialing record, and sends only the gaps to a specialist. | Healthcare | |
| Clinical evidence synthesis | Clinical evidence synthesis uses AI agents to read new trial results, safety data and published studies, and draft a cited brief that shows consensus findings and gaps for your clinicians to review. | Healthcare | |
| Clinical trial and supply integrity monitoring | AI clinical trial and supply integrity monitoring flags unusual patterns in site data, sample distribution, and supply movements, with reasons behind each flag, for your monitors and compliance teams to review. | Life Sciences | |
| Clinical trial site selection | Predictive models that use past trial performance and feasibility data to estimate which investigator sites are likely to enroll the patients a study needs, on time. | Life Sciences | |
| Collusion fraud detection | Machine learning that links shared devices, addresses and payment paths across accounts to expose collusion rings that look normal one account at a time. | Financial ServicesInsuranceHealthcare | |
| Content and product personalization for marketing | Predictive models score which message, image, offer and product each customer is most likely to respond to, so every channel shows content built for them. | TelecommunicationsRetail and CPGFinancial ServicesInsuranceHealthcare | |
| Credit loss estimation | Credit loss estimation predicts how much a loan book will lose, from probability of default, loss given default (LGD) and exposure at default (EAD). | Financial Services | |
| Credit scoring and fair lending | AI credit scoring uses machine learning to predict how likely a borrower is to repay, from bureau data and from alternative data when the credit file is thin. | Financial Services | |
| Critical care patient deterioration alerts | A model that scores changes in a patient's status from monitor and vital-sign data, and alerts the care team on which patients to check first. | Healthcare | |
| Customer care agent and chat deflection | A customer care agent answers subscribers' billing, plan, device and outage questions in chat from your own care knowledge, with a source for every answer, and hands off the rest to a person. | Telecommunications | |
| Customer churn prediction for banks | AI customer churn prediction scores each bank customer's risk of leaving from transaction and behavior data, so your retention team can act while the relationship can still be saved. | Financial Services | |
| Customer retention | AI customer retention for insurers predicts which policyholders are likely to lapse or switch at renewal, and why, so your team spends offers on those worth keeping. | Insurance | |
| Cytopathology AI | Machine learning ranks cytology samples for review order from their measurements or images, and generative AI pulls cited findings out of free-text pathology reports for your lab to check. | Healthcare | |
| Debt repayment and prepayment risk | Machine learning predicts whether each borrower will repay on schedule, prepay early, fall behind or default, so lenders can offer the right option before a loan is lost. | Financial Services | |
| Defense intelligence analysis | AI that gathers, summarizes and cites public reporting and footage, so defense analysts can brief decision-makers faster, with every finding reviewed before it reaches the brief. | Government | |
| Denials and appeals | Denials and appeals with AI uses agents to read a claim denial, gather the chart documentation and payer policy that support it, and draft the appeal for your specialist to sign. | Healthcare | |
| Detecting cyber threats before they cost you | AI cyber threat detection separates threatening events from normal activity across your devices, users and applications, and explains why each one was flagged. | Financial Services | |
| Drafting safety reports and submission sections | AI drafts cited sections of periodic safety reports and regulatory submissions from your approved sources, and checks a package for gaps, for a qualified person to sign. | Life Sciences | |
| Employee attrition drivers and retention planning | Machine learning on your own HR data that shows which working conditions are linked to attrition by role, team and tenure, so HR can act before people leave. | HealthcareGovernment | |
| Employee knowledge assistant | A governed AI assistant answers staff questions from your agency's own policies and guidance, with the source cited in every answer, and can run fully air-gapped. | Government | |
| ESG reporting and carbon market intelligence | Agents that check ESG performance data, client disclosures and carbon market signals, so misstated figures and unsupported claims surface before they become fines, write-downs or losses. | Financial Services | |
| Extracting structured data from financial documents | AI turns balance sheets, annual reports and scanned images into structured data your analysts can trust, with a knowledge assistant that answers questions and cites the source page. | Financial Services | |
| Factor investing | AI factor investing uses machine learning to forecast factors such as volatility, value and momentum, then select the securities those forecasts favor. | Financial Services | |
| Factory-floor model deployment | Build predictive models centrally and score them where production happens, on plant infrastructure next to the line, including plants whose networks are segmented from the cloud. | Manufacturing | |
| Farm operations planning agents | Software agents that read your farm's sensor, drone and weather data and draft a weekly operating plan for irrigation, spraying, scouting and harvest. | Agriculture | |
| Field dispatch optimization | AI forecasts how many technicians each area needs and matches the right technician to each job, so dispatchers start the day from a data-built plan instead of a guess. | Telecommunications | |
| Financial news and market data analysis | A knowledge assistant that reads financial news, filings and economic data, then answers your analysts' questions with the source cited for each answer. | Financial Services | |
| FNOL intake and claims triage | AI that reads a first notice of loss packet, checks it against the policy, flags claims needing special handling, and drafts the routing for your claims team to approve. | Insurance | |
| Forecasting demand by product, region and route | AI forecasts how much of each product will sell by store, region, season and delivery route, so your planners and route teams can order and stock ahead of demand. | Retail and CPG | |
| Gene mutation risk scoring | Gene mutation AI scores a patient's genomic and phenotype profile for genetic risk and ranks the genes and pathways that drive it, for your research and clinical teams. | Life Sciences | |
| Health plan member churn prediction | A model that scores which health plan members are likely to leave before the next enrollment window, explains why, and ranks which retention offer each at-risk member is most likely to accept. | Healthcare | |
| Healthcare plan pricing | Predictive models that estimate each member group's expected medical cost and how price changes affect plan choice and renewal, so actuaries set premiums that cover risk and hold membership. | Healthcare | |
| Home loan credit risk assessment assistant | A home loan credit risk assessment assistant reads an applicant's financial details, applies your credit risk framework, and drafts a risk rating with its reasoning for an analyst to review. | Financial Services | |
| Hospital capacity simulator | A hospital capacity simulator forecasts census, admissions, and length of stay, then tests surge scenarios so your operations and patient-flow teams plan beds and staff before demand arrives. | Healthcare | |
| Hospital census forecasting | Hospital census forecasting predicts how many patients each facility and unit will have in its beds over the coming days, so staffing and bed plans can be set ahead of demand. | Healthcare | |
| HR resume matching | Natural language processing compares each resume with a job description and gives recruiters a match score with its reasons, so they review a ranked list instead of every application first. | HealthcareGovernment | |
| Improper payment and program integrity review | Improper payment and program integrity review with AI scores payments, invoices and travel claims for risk, checks them against the rules, and drafts the evidence a reviewer needs to decide. | Government | |
| IT knowledge assistant for runbooks and tickets | An IT knowledge assistant answers your engineers' questions from your own runbooks, tickets and postmortems, and cites the source behind every answer. | TelecommunicationsManufacturingFinancial ServicesGovernment | |
| KYC automation | AI KYC automation verifies a new customer's identity, links their details to records you already hold, and scores the financial crime risk they bring at onboarding. | Financial Services | |
| Lead scoring | AI lead scoring ranks every lead by how likely it is to become an opportunity and revenue, learning from the leads that converted and the ones that did not. | TelecommunicationsRetail and CPGFinancial ServicesInsurance | |
| Legacy code conversion inside your boundary | An open coding agent that reads, explains, converts and tests old application code such as COBOL or Fortran against a governed endpoint inside your network, so the source code never leaves. | Government | |
| Legal research and aid assistants | An AI knowledge assistant that finds the statutes, cases and guidance behind a legal question and answers with citations a lawyer or paralegal can check, giving information, not advice. | HealthcareGovernmentInsuranceTelecommunications | |
| Liquidity risk and hedging analytics | Machine learning forecasts a bank's deposit behavior, cash flows and funding needs, tests how hedges hold up as rates move, and drafts the ALCO reporting pack for review. | Financial Services | |
| Loan amount prediction | AI loan amount prediction uses a regression model built from your loan history to estimate what each applicant can request or qualify for, so your credit policy can size the offer before they apply elsewhere. | Financial Services | |
| M&A advisory research | A knowledge assistant that answers deal team questions across filings, reports and news on a target with the source cited, plus a model that scores how likely a company is to be acquired. | Financial Services | |
| Mechanism of action prediction for drug screening | Machine learning that estimates how a compound acts on biology from gene expression and cell viability data, so scientists can prioritize hits sooner. | Life Sciences | |
| Medical claims fraud and overpayment detection | Medical claims fraud detection scores each claim before it is paid, flags likely fraud, waste, abuse and overpayment for review, and lets clean claims move straight to payment. | Healthcare | |
| Medical coding and risk adjustment review | Medical coding and risk adjustment review uses AI to check clinical documentation against coding rules and payer policy, then proposes codes with the rule cited for a certified coder to sign. | Healthcare | |
| Mining site environmental compliance and market agents | Agents that check site sensor data against your environmental limits, draft compliance reports, and model commodity prices to support contract bid decisions. | ||
| Model risk documentation and explainability | AutoDoc reports and reason codes document how each model was built and why it scores the way it does, so bank validators get evidence with its source cited. | Financial Services | |
| Network incident triage agents | A chain of agents that correlates network telemetry and alarms, opens the ticket, drafts remediation from your runbooks, and writes the post-incident summary. | Telecommunications | |
| Next best action and offer | Machine learning that ranks the one offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer instead of one campaign for everyone. | TelecommunicationsRetail and CPGFinancial ServicesInsuranceHealthcare | |
| Operational risk and controls monitoring agents | Agents that read incident logs, control test results and policies, flag items that breach your own thresholds, and draft cited summaries for your risk team. | Financial Services | |
| Optimizing promotional spend and budget by channel | AI models how each promotional channel, region and brand responds to spend, so your commercial team can set the next budget from evidence instead of last year's split. | Life Sciences | |
| Patent landscape and competitive intelligence | A patent landscape and competitive intelligence assistant searches patents, trial registries and publications, groups what it finds and answers your team's questions with a citation for every statement. | Life Sciences | |
| Patient propensity to pay | Patient propensity to pay uses AI to predict how likely each patient is to pay a self-pay balance, so your revenue cycle team can prioritize reminders, payment plans and financial assistance screening. | Healthcare | |
| Patient scheduling and no-show prediction | A model that scores which booked appointments are likely to be missed, so your access team can remind, confirm, backfill or overbook with a reason instead of one static rule. | Healthcare | |
| Personalized patient support programs | AI for personalized patient support programs groups patients by shared needs and flags who may stop a therapy early, so support teams reach them in time. | Life Sciences | |
| Personalized product bundling for insurers | Machine learning that predicts which additional policy or coverage each household is likely to need next, with a reason code, so agents, call centers and websites offer one relevant bundle instead of a generic package. | Insurance | |
| Personalized rate management | AI personalized rate management estimates each policyholder's risk from individual behavior and context, not just broad rating classes, so pricing and actuarial teams can set rates that track real risk more closely. | Insurance | |
| Pharma field force performance | AI agent performance scores pharma field reps' opportunities and suggests next best actions from CRM and call data, cutting the manual entry that keeps adoption low. | Life Sciences | |
| Pharma inventory and out-of-stock risk prediction | Machine learning on demand, inventory and order data that flags which pharma products are likely to run short, forecasts lead times and safety stock breaches, and suggests reorders planners approve. | Life Sciences | |
| Pharmacovigilance case intake and signal detection | Document reading and agents that turn incoming adverse event reports into structured cases, suggest coding terms for your coders to confirm, and surface possible safety signals in free-text narratives. | Life Sciences | |
| Physician targeting for a product launch | AI product launch physician targeting ranks the healthcare professionals whose patients fit your newly approved therapy, so your commercial and medical teams reach the right prescribers first. | Life Sciences | |
| PII detection and redaction | PII detection and redaction automatically finds and masks personal data, such as names, addresses, and account numbers, in documents and AI conversations, so your team controls what leaves the organization. | Financial Services | |
| Policy and endorsement document intelligence | Policy and endorsement document intelligence reads your policy forms, endorsements, and contracts, then answers coverage questions with a citation to the exact wording, for underwriting, claims, and servicing teams. | Insurance | |
| Predicting client contribution margin | AI predicts the contribution margin each client relationship will earn, so your bank can place relationship coverage where it grows margin instead of where it was assigned. | Financial Services | |
| Predicting hospital-acquired infections | A risk model that scores inpatients for infections such as CLABSI from device, procedure and lab data, so infection prevention teams can focus rounds first. | Healthcare | |
| Predicting opioid use disorder and overdose risk | AI finds patterns in health records linked to opioid use disorder and overdose risk, so your care-management and public-health teams can reach people earlier with support. | Healthcare | |
| Predicting readmission | Predicting readmission scores each inpatient's risk of returning to the hospital within 30 days of discharge, so care managers focus follow-up on the patients who need it most. | Healthcare | |
| Predicting support ticket resolution time | AI predicts how long a new member or provider ticket will take to resolve and which team should own it, so your service leads can route work and catch the ones likely to stall. | Healthcare | |
| Predicting the cause of a support call before it's asked | AI predicts the likely cause of a customer's phone, broadband or TV issue from support history and network data, so agents resolve more calls the first time. | Telecommunications | |
| Predicting transit time, cost and arrival condition | AI predicts transit time, cost and the condition goods will arrive in for each shipping route, so your logistics team can pick routes and carriers that deliver on time and intact. | Manufacturing | |
| Predictive fleet maintenance | Vehicle, telematics and repair data predict which truck parts will fail, so a fleet shop replaces them before a breakdown strands a technician, servicing each vehicle on its own risk. | Telecommunications | |
| Predictive maintenance | Sensor, maintenance and operating data used to predict which equipment will fail and when, so your reliability team fixes a component before it breaks instead of after. | Manufacturing | |
| Predictive maintenance for pharma manufacturing | AI predictive maintenance for pharma manufacturing uses sensor, batch, and maintenance data to predict which production equipment is likely to fail, and when, so engineering can act before a failure stops a batch. | Life Sciences | |
| Predictive manufacturing design | AI predictive manufacturing design uses machine learning on material properties, past configurations, and test results to predict which designs are likely to pass, so engineers prototype and test fewer candidates. | Manufacturing | |
| Premium audit validation | Premium audit validation uses AI to read payroll reports and records, check them against the exposure a policyholder declared at binding, and send each variance to your premium auditor. | Insurance | |
| Pricing optimization | AI pricing optimization predicts how demand for each item responds to price, season, inventory, and competing offers, then suggests prices your pricing team reviews and approves. | Retail and CPG | |
| Prioritizing a cardiology worklist by risk | AI clinical decision support estimates each patient's heart disease risk from tests and history you already hold, so your cardiology team knows who to review first and why. | Healthcare | |
| Product recommendations and propensity to buy | AI product recommendations predict which banking product each customer is likely to need next and how likely they are to take it up, so bankers and digital channels make offers that fit. | Financial Services | |
| Provider scoring | Licensed prescribing and engagement data rank healthcare professional accounts by how closely their patients fit approved indications, so field and medical teams plan coverage from one explained score. | Life Sciences | |
| Public health forecasting | Time series models predict how much flu and other respiratory disease activity each region will see in the coming weeks, so public health teams can plan staff, supplies and outreach. | Healthcare | |
| Quality measure and care-gap abstraction | AI agents read patient charts against quality measure specifications, assemble the evidence each measure needs, and flag open care gaps for abstractors and quality teams to confirm. | Healthcare | |
| Referral automation | Referral automation reads incoming referral faxes and scans, pulls out patient, referral, and insurance details, and routes each one to the right clinic for your team to review. | Healthcare | |
| Regulatory compliance and policy assistants | A regulatory compliance and policy assistant answers your staff's policy, procedure and compliance questions from your own documents, citing the source passage for every answer. | Government | |
| Regulatory reporting assistant | An AI knowledge assistant that answers your risk and compliance team's questions from disclosure reports, regulations and codes, with a citation to the source page for every answer. | Financial Services | |
| Retail customer churn and lifetime value | A churn score ranks which shoppers are likely to lapse, paired with a lifetime value score for what each is worth, so retention budget goes where it saves the most. | Retail and CPG | |
| RFP and procurement automation | AI RFP and procurement automation reads your RFP and every vendor proposal, compares them on scope, pricing and terms, and answers evaluation questions with a citation to the source. | Life SciencesRetail and CPGManufacturingGovernment | |
| Route and fuel optimization | Route and fuel optimization decides which technician drives to which job, so your fleet covers the day's work with fewer miles and less fuel. | Telecommunications | |
| Sanctions screening | AI sanctions screening scores the name and payment alerts your screening engine raises against sanctions lists, so likely true matches reach an analyst first. | Financial Services | |
| Scam and fraud loss reduction | Real-time scoring of customers and payments that sits beside your existing fraud engine, with reason codes for every score and every held payment. | Financial Services | |
| Scoring phone orders for fraud before the device ships | AI scores every phone order, upgrade and new line for fraud risk before the device ships, sending your fraud engine a score with reasons so you stop more fraud without turning good customers away. | Telecommunications | |
| Smart segmentation | AI smart segmentation groups customers into small, well-defined microsegments by shared behavior and intent, so your marketers can target and explain who is most likely to respond to each message. | TelecommunicationsRetail and CPGFinancial ServicesInsurance | |
| Sovereign AI coding assistant | A sovereign AI coding assistant runs an open coding agent against models and endpoints you control, so source code, prompts, and agent actions stay inside your network. | TelecommunicationsManufacturingFinancial ServicesGovernment | |
| Strategic insight summarizer | An AI assistant that reads annual reports, earnings releases and company websites, then returns a company's strategic priorities, key results and opportunities, with the source cited for each point. | Financial ServicesInsuranceManufacturingRetail and CPGTelecommunications | |
| Study and assessment assistants | AI study and assessment assistants summarize recorded lectures, write quizzes, build study plans and draft marks on handwritten exams against your rubric, with cited sources. | ||
| Subrogation identification and recovery | AI reads each claim file for third-party recovery potential, judges the evidence against your guidelines, and drafts the recovery package for your team to review and pursue. | Insurance | |
| Supplier document validation against the ERP | Supplier document validation reads supplier contracts, purchase orders, invoices and certificates of analysis, checks each value against your ERP, and sends only the mismatches to a person. | Life SciencesRetail and CPGManufacturingGovernment | |
| Supplier risk scoring | An AI supplier risk model uses delivery, quality and commercial history to predict which pharma suppliers are likely to miss a delivery or fail a quality check. | Life Sciences | |
| Supply chain optimization | AI supply chain optimization forecasts demand and resource needs at each stage of production, then sets inventory, sourcing and transport plans so you hold less safety stock without more shortages. | Manufacturing | |
| Support-call classification | Fine-tuned small language models that read every customer-care transcript and assign it to the right category, so contact centers can route follow-ups and fix the causes of repeat calls at full volume. | Telecommunications | |
| Targeting customers by what they actually do | AI behavioral targeting groups your customers by what they do, predicts who will respond to which offer, and explains the reasoning behind every choice. | Financial Services | |
| Telecom churn prediction and retention | Telecom churn prediction scores every subscriber's risk of leaving, explains why, and triggers the retention action most likely to keep them, before the subscriber calls to cancel. | Telecommunications | |
| Telecom upsell and next best offer | AI that predicts which plan, device, add-on or loyalty offer each subscriber is most likely to accept, and when, so marketing, care and retail present one relevant offer instead of the same promotion to everyone. | Telecommunications | |
| Telematics-based insurance models | Machine learning models that use vehicle driving data to score claims fraud, customer churn and billing risk for each policyholder, with reasons attached. | Insurance | |
| Text-to-SQL for enterprise data | Fine-tuning a small open model on your own schema so business users can ask a database a question in plain English and get accurate SQL back. | TelecommunicationsManufacturingFinancial ServicesGovernment | |
| Trade finance risk monitoring | Trade finance risk monitoring uses an agent to screen counterparties, shipments and routes for sanctions and money laundering risk, and warns you early. | Financial Services | |
| Transaction fraud | AI transaction fraud detection scores every card, debit and wire payment for fraud risk as it happens and finds patterns that fixed rules miss. | Financial Services | |
| Transaction volume anomaly detection | Machine learning that forecasts expected transaction volume by channel, then flags spikes or drops outside that range so your team can act before an outage or attack costs money. | Financial Services | |
| Travel digital assistant | A travel digital assistant is a conversational tool that answers traveler questions about bookings, changes, baggage, and loyalty from your own policies, then suggests options that fit each trip. | Travel | |
| Turning broker submissions into clean risk data | AI reads broker submissions, loss runs and prior policies into clean, normalized risk data, checks it against your appetite, and drafts the clearance file for your underwriter. | Insurance | |
| Turning recorded consultations into structured summaries | AI transcribes a recorded patient consultation and drafts a structured clinical summary for your clinician to review and sign, with every statement grounded in the recording. | Healthcare | |
| Verifying identity documents at onboarding | An AI assistant reads the identity document an applicant uploads at onboarding, checks each field for gaps, expiry and tampering, and returns a verified or flagged result. | Financial ServicesTelecommunicationsInsuranceGovernmentHealthcare | |
| Visual defect detection and inspection triage | Computer vision models that classify defects in inspection images and rank lots by defect risk, so inspectors spend their time where defects are most likely. | Manufacturing | |
| Voice of the customer analysis | AI voice of the customer analysis reads customer comments from surveys, reviews, and store kiosks, finds the sentiment and topics behind them, and turns them into a weekly report with recommended actions. | Retail and CPG |