AI hiring assistant
Screens, ranks, or recommends candidates during recruitment.
AI use cases
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Screens, ranks, or recommends candidates during recruitment.
Automates customer conversations and support triage.
Scores applicants or supports financial eligibility decisions.
Supports triage, diagnosis, or prioritization in healthcare settings.
Tracks productivity, behavior, sentiment, or performance at work.
Identifies or verifies people using biometric characteristics.
Parses unstructured CVs/resumes into structured candidate profiles.
End-to-end reject/advance decisions on CVs without human review.
Conversational AI that interacts with job candidates during sourcing.
Captures granular activity logs and scores worker behaviour.
Detects or infers worker emotions for HR decisions.
Analyses video interviews for engagement, confidence, or fit.
Employee or patient biometric authentication for premises or systems.
Creates synthetic voice audio from recordings of a real speaker.
Synthetic video avatars used to conduct or appear in recruitment.
Allocates on-call shifts to clinical or operational staff based on demand/availability.
Analyses radiology/pathology imaging for diagnostic decision support.
Provides real-time guidance or autonomous sub-steps during surgery.
Continuously monitors inpatient vitals and raises early-warning scores.
Suggests clinical-trial enrolment based on patient profile and trial criteria.
Recommends diagnosis or treatment paths for clinicians (distinct from triage).
End-to-end accept/reject underwriting for consumer or SME loans.
Risk-prices premiums using ML on health and behavioural data.
Continuously adjusts credit-card or revolving-facility limits based on signals.
Anomaly-detection on transactions to decline or block fraud.
Provides personalised investment advice and/or automated trading.
Dynamically sets personalised prices based on customer profile.
Routes or prioritises claims for fast-track, manual review, or SIU escalation.
Predicts which customers are likely to leave; drives retention actions.
Optimises pick-and-pack routes per worker in real time.
AI that flags, removes, or ranks user-generated content.
Creates synthetic media that can convincingly depict real or synthetic persons.
Forecasts demand to drive inventory and procurement decisions.
Scores and prioritises inbound emergency calls for first-responder dispatch.
Onboarding AI that scores vendor documents, KYB data, and risk signals.
Generates concise summaries of long regulatory or contractual documents.
Extracts terms, flags risks, and summarises obligations in contracts.
Retrieves and summarises case law, statutes, and secondary sources.
Conversational AI answering general legal questions or case status for clients.
Generates draft contracts, clauses, or pleadings from instructions.
Flags risks and obligations across large document sets in transactions.
Estimates case outcomes and settlement ranges from historical data.
Supports judicial authorities in researching and applying law to case facts.
Screens clients and matters for conflicts of interest and AML red flags.
Automates time capture, matter classification, and invoice drafting.
Scores incoming matters for risk level and routes them to the right team.
Personalises product recommendations from browsing and purchase history.
Sets or adjusts product prices in response to demand, stock, and competition.
Conversational AI for product discovery, orders, and support.
Filters spam, fake, or harmful product reviews at scale.
Classifies reviews and support conversations by sentiment.
Matches customer photos to product catalogues.
Scores transactions and orders for fraud risk.
Predicts demand to optimise purchasing and stock allocation.
Autonomous mobile robots for picking, sorting, and moving inventory.
Generates photorealistic product imagery, video, and ads.
Detects and flags suspected cheating behaviour during remote exams.
Scores assignments, essays, and exams automatically.
Scores and shortlists applicants for admission decisions.
Detects or infers student engagement, attention, or emotions.
Adjusts learning paths and difficulty based on student performance.
Conversational AI providing subject tutoring and homework help.
Flags copied or AI-generated text in student submissions.
Aggregates student engagement and performance data for staff dashboards.
Handles enrolment, schedule, and service questions for students.
Matches students to courses based on interests and profiles.