Business function
Campaigns, personalization, content and customer insight.
109 organizations in 26 countries run these use cases in public. 59% of those 114 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 inbound lead qualification agent is an AI agent that engages inbound prospects the moment they arrive, qualifies them and books a meeting or hands them to the right salesperson. It works on the website, chat, messaging or the sales phone line, answers their first questions, qualifies against the organization's criteria, and writes the conversation context into the CRM so the salesperson receives a ready conversation.
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 offers and rewards is a customer facing agent for banks and card issuers that picks the offer, reward or loyalty action most relevant to each customer at each moment. It draws on the customer's transactions and context, delivers the offer in the app, in messaging or through a colleague, helps the customer understand, track and redeem rewards in conversation, and works inside their own account and loyalty relationship, unlike campaign personalization.
Proactive outreach and activation is an AI agent that holds the conversation when a bank reaches out first to change something about a customer's account or products. It is triggered by an event or a campaign: low balance and fee avoidance alerts, payment and renewal reminders, card activation, dormant account reactivation and offers the customer already qualifies for, over messaging or voice, while the bank's own systems decide who is contacted and why. Reminders about appointments and deliveries the customer booked, and the in app coach the customer opens, are separate use cases.
A plan upgrade and sales assistant is an AI assistant that helps telecom customers choose, compare and buy the right mobile, broadband or TV plan, device or extra. It serves existing and prospective customers in the app, in messaging, on the phone or through a human advisor, using their usage and eligibility and the operator's current offers, and it completes the order or passes a ready quote to a person.
A property search assistant is a conversational AI on a real estate portal that lets buyers and renters search, compare and narrow down homes in plain language instead of filters. It also answers affordability and neighborhood questions from the portal's own listing and market data, and hands the shopper to a tour booking or a local agent.
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.
A financial wellbeing coach is an in app AI assistant that customers open to understand their own money. It uses the customer's transaction data to explain their spending, forecast upcoming bills and cash flow, set and track savings goals and answer money questions in plain language, staying on the guidance side of the line between guidance and regulated financial advice.
AI churn prediction and retention is AI for telecom operators that scores each subscriber's risk of leaving from usage, service, billing and contact signals. It explains the likely reason and chooses the next best retention action, such as fixing a problem, adjusting a plan or making an offer, delivered through the app, messaging, an agent or an advisor within approved offer budgets.
AI customer feedback analysis is AI that reads every piece of free text customer feedback and turns it into themes, sentiment and actions for a named owner. The feedback can be survey verbatims, NPS comments, reviews, social posts, chat and call transcripts, and the analysis also identifies drivers, so the organization hears all of its customers instead of a sample.
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.
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.
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.
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 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 content recommendation and personalization decides what to show each viewer or listener next on a home page, in search or in a personalized playlist. It learns from that person's own viewing or listening history, ratings and context, updates continuously as new content is added and behavior changes, and ranks only the catalog's own content, not marketing offers or campaigns.
An AI conversational shopping assistant answers product questions and recommends items from a retailer's own catalog, for a need, project or occasion a shopper describes. It works on the retailer's site or app, compares items grounded in the retailer's product data, reviews and stock, and hands the shopper to a basket, a store or a human expert.
An AI visitor and tour guide tells visitors of cities, museums, heritage sites and events the stories behind what is around them, and answers their questions in their own language. It is often spoken, location and context aware, grounded in the organization's curated content and in the visitor's position or the object they scan.
Computed from the 114 public deployments behind these use cases. Numbers update with every checked record.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Conversion uplift | 24.5% vendor reported | 1.9% to 75% | 6 | 6 vendor |
| Conversion uplift | 2.8x vendor reported | 2x to 3.4x | 4 | 4 vendor |
| Cost reduction | 80% | 4% to 95% | 3 | 1 organization, 2 vendor |
