Mentioned in 100 AI use cases across 13 industries
This is like giving every support rep a super-smart assistant who can instantly read past tickets, policies, and FAQs, then draft helpful replies or answer customers directly in chat or email.
This is like giving your helpdesk a tool that can instantly read every support ticket and judge how happy or upset the customer is, so managers know where fires are burning before they spread.
This is like a super-smart traffic controller for your customer messages. Every email, chat, or ticket is instantly read by AI, understood, and sent to the right person or team without humans manually sorting the queue.
This is like having a super-smart mailroom clerk for your support team who instantly reads every incoming customer request, understands what it’s about, how urgent it is, and then sends it to exactly the right person or team to handle it best.
This is like giving your shared support inbox a smart assistant that reads every incoming email, understands what the customer wants, creates or updates the right support ticket, and replies or routes it automatically instead of your agents doing it manually.
This is like an intelligent triage nurse for your support inbox. It reads each incoming support ticket, figures out how urgent and important it is, and assigns a priority automatically so your team works on the right things first.
This is like giving every customer service agent (and your IVR/chatbot) a super-smart digital co-pilot that can instantly read knowledge bases, past tickets, and policies to answer customers in natural language across phone, chat, and other channels.
Think of this as a super-assistant for your sales team that listens to every interaction, reads every form and email, and then tells you which potential customers are really worth your reps’ time—before they start calling.
Think of AutoCompose as a smart autocomplete for customer service agents: while they’re typing replies to customers, it suggests full, high‑quality responses so they mostly click, tweak, and send instead of writing from scratch.
This is about making every shopper’s online store experience feel like a helpful salesperson knows their tastes — showing the right products, offers, and content to each person instead of the same generic website for everyone.
Imagine every shopper in your online store having a smart salesperson who remembers their tastes, budget, and goals, and quietly reorders the search results and product suggestions just for them every time they type in the same vague query like “running shoes.”
This is like having a smart digital sales associate that quietly watches how people browse, search, and compare products across apps and websites, then helps brands put the right message or product in front of the right shopper at the right time as they move from “just looking” to “I’m ready to buy.”
This is like giving every salesperson a super-smart digital co-pilot that can read all your sales data, emails, and activity, then tell them who to call, what to say, and when to follow up to close more deals.
Think of this as a tireless digital sales assistant that listens to your reps, reads your CRM and emails, and then helps them decide who to call, what to say, and when to follow up so they can close more deals with less grunt work.
Think of your online store as a smart salesperson who knows every customer’s tastes, can instantly tidy and rewrite your product catalog, and can answer questions 24/7 in natural language. This article describes how to bolt that salesperson’s “AI brain” onto a typical ecommerce site using search, recommendations, and automation.
This is like having a smart early-warning system for students: it quietly watches patterns in their grades, attendance, and engagement, and then flags which students are most at risk of failing or dropping out so staff can step in sooner.
Think of this as putting a very smart assistant inside your CRM that watches all your customer interactions, predicts which deals are most likely to close, and nudges sales reps on what to do next and when.
This is like a smart early‑warning system for universities: it looks at patterns in student data (grades, attendance, demographics, behavior on learning platforms) and predicts which students are likely to struggle or drop out so staff can intervene earlier.
This is like having a warning light on your customer base: it looks at past customer behavior and contracts and predicts who is likely to cancel their phone/internet service soon, so you can reach out before they leave.
This is like giving every potential customer their own personal marketer. Monocle uses AI to tailor messages and offers to each person so emails, ads, and website content feel much more relevant instead of generic.
This is like putting GPS trackers on every marketing touchpoint (ads, emails, events) so you can finally see which ones actually helped move a customer from first click all the way to revenue, not just who happened to be last in line.
This is like putting GPS trackers on all your marketing efforts so you can see exactly which ones helped close big B2B deals, instead of guessing from vanity metrics like clicks and impressions.
Think of AI in marketing as a team of tireless digital interns that watch every interaction your customers have with your brand and then help your marketers decide: who to talk to, what to say, when to say it, and on which channel—automatically and at massive scale.
This is like giving every call center and support agent a super-smart digital co-worker that can understand customer issues, look things up across systems, and take actions (like updating an order or issuing a refund) instead of just suggesting responses.
This is a forward-looking overview of how AI will change digital marketing—like a roadmap showing how smart tools will increasingly help marketers target the right people, create content, run ads, and measure results with far less manual work.
This is about choosing a sales CRM that has a built‑in ‘smart assistant’—it watches all your customer interactions, predicts which deals to focus on, and automates follow‑ups so your reps sell instead of doing admin.
This is like giving each salesperson a smart co‑pilot that reads the opportunity, emails, and CRM history, then suggests the best next move to help close the deal faster.
This is like giving every sales rep a smart digital assistant that can help run parts of their sales process for them—handling repetitive follow‑ups, updating systems, and nudging next steps—so reps can spend more time actually selling.
This is like having an early-warning radar for unhappy phone or internet customers. The AI watches usage and support patterns and raises a flag when someone looks likely to cancel, so your team can reach out before they actually leave.
Think of Tektonic AI as a smart RevOps assistant that constantly cleans up your CRM, fills in missing details, and automates routine sales operations work so reps can focus on closing deals instead of fixing Salesforce fields.
This is a playbook that explains how tools like ChatGPT, but trained on sales conversations and CRM data, can act like a super-smart sales assistant—summarizing calls, drafting follow-ups, and surfacing next steps so reps can sell more and type less.
Think of this as a smart, always-on receptionist and helpdesk team that can talk to customers by chat, voice, or video, answer most questions instantly, route complex issues to humans, and learn from every interaction to get better over time.
This is like an always‑on smart salesperson that constantly watches demand, competitors, and stock levels, then automatically adjusts your product prices to hit your goals (more profit, more volume, or both) without a human changing prices all day.
This is like a smart accountant for your marketing budget: it watches all your ads and customer touchpoints and figures out which ones actually convinced people to buy, so you know where your money is really working.
Think of Clari as a mission-control dashboard for all your sales money flows. It pulls together data from your CRM and other systems, watches every deal and pipeline change, and uses AI to tell you where you’ll land this quarter and which deals need attention right now.
It’s like giving every sales rep a smart co-pilot that drafts and personalizes their cold emails, while humans still decide who to contact, what to say, and when to send it.
Think of Aidaptive as a digital concierge that quietly watches how every guest shops, browses and books online, then automatically rearranges your website and offers so each visitor sees the rooms, packages and prices they’re most likely to buy—without your team needing to constantly tweak campaigns by hand.
This is like a smart early‑warning system for telecom companies that watches customer behavior and complaints, predicts who is likely to cancel soon, and tells your team exactly which customers to contact and what offers or actions will keep them from leaving.
This is like having a smart assistant that reads about each of your prospects online and then drafts highly personalized sales emails for you in minutes instead of you spending hours researching and writing them one by one.
This is like an assistant that instantly drafts personalized cold sales emails for you. You tell it who you’re targeting and what you’re selling, and it turns that into ready-to-send email templates you can tweak instead of writing from scratch.
Think of this as a smart sales assistant that writes and sends your outreach and follow‑up emails for you, based on your lead lists and CRM data, so reps don’t have to type the same messages over and over.
This is like having a tireless sales assistant who reads about every prospect, figures out what they care about, and then drafts highly personalized emails or messages for them—automatically and at large scale.
This is like having a smart digital marketer that studies every customer’s behavior and then automatically decides who should see which message, on which channel, and when—at scale and continuously.
Think of this like an autopilot for your online ads. Instead of humans constantly tweaking budgets, audiences, and creatives, AI watches performance in real time and automatically shifts spend to what works best so you get more sales for every advertising dollar.
Think of these AdTech AI agents as a team of tireless digital interns that understand ads, audiences, and campaign data. You tell them your goals (e.g., ‘get more app installs in Germany within this budget’), and they continuously research options, tweak settings, buy media, test creatives, and report back—without needing a human to click every button in every platform.
Imagine your marketing department had an endlessly energetic assistant that could draft ads, personalize messages for every customer, test which versions work best, and adjust campaigns on its own while your team focuses on strategy. That’s what generative AI is doing for marketing and advertising.
Think of this as a tireless creative and analytics assistant that can draft campaigns, personalize messages for each customer, and learn from results to do better next time—all in minutes instead of weeks.
This is like giving your marketing team a super-smart assistant that learns what each customer likes, sends them the right messages at the right time, and does a lot of the routine work for you automatically.
This is like giving every salesperson a smart digital assistant that lives inside Microsoft Dynamics 365. It watches deals, emails, and tasks, then proactively suggests next steps, drafts outreach, and updates CRM records for them.
Think of this as giving your marketing team a super-smart assistant that can study what every customer is doing in real time, write tailored messages for them, decide which ad to show where, and keep learning what works so your budget isn’t wasted.
Think of this as giving your marketing team a super-fast, super-smart analyst who studies every customer click, email, and ad impression, then quietly tells you: ‘show this group offer A, show that group message B, and stop wasting money on these channels.’
This is like giving your marketing team a super-smart sorting machine. It looks at all your customer data and automatically groups people into smart segments—"likely to buy now", "needs nurturing", "high-value upsell"—so you can send the right message to the right people without guessing.
This is like a smart content clerk that quietly watches what each viewer reads or watches and then rearranges your website or app so everyone sees shows, videos, or articles they’re most likely to click next.
This is like having a smart early-warning system that spots which mobile or internet customers are about to leave and suggests the best way to keep them—before they call to cancel.
This is like a smart in-store salesperson for your online shop that learns what each shopper likes and rearranges the shelves, product suggestions, and emails for every person in real time.
This is like giving every sports fan a smart digital concierge that learns what they love—seats, merch, highlights, stats—and quietly adjusts the entire game-day and at-home experience around them.
This is like having a super-smart app developer sitting next to you while you describe what you want in plain English. You say the ‘vibe’ of the app – who it’s for, what it should roughly do – and the AI fills in the technical details, wiring screens, data and logic so a working app appears much faster than with traditional coding.
This is like having a tireless digital sales assistant that watches your leads across tools (CRM, email, LinkedIn, forms), decides who to follow up with, and sends the right message at the right time without reps having to do it manually.
This is like giving every salesperson a smart writing partner that drafts and polishes their outreach emails so they sound like a thoughtful human, not a robot, while still following sales playbooks.
Think of this as a smart digital scout for your sales team. It searches through leads, figures out who is most worth talking to, drafts tailored outreach messages, and helps reps decide what to do next, so they spend more time in real conversations and less time on repetitive busywork.
Think of this as a smart digital sales assistant that never sleeps. It watches leads, emails, and deals, then helps reps decide who to contact, when, with what message, and automates as much of that work as possible.
This is like giving your sales team a smart assistant that automatically fills in and updates CRM records by searching the web and business tools for missing details about leads and accounts.
This is a sales CRM that behaves like a smart sales assistant: it keeps track of your leads, reminds reps what to do next, and uses AI to suggest who to call, what to say, and how to move deals forward faster.
Think of this as a smarter CRM that not only stores customer details but also watches what your customers do, predicts what they’re likely to want next, and nudges your sales and service teams with “do this now” suggestions.
Think of this as a smart coach for your field salesforce that watches everyone’s activity and results, then quietly tells each rep: “Do this next, in this territory, with this product, because it’s most likely to hit your quota.”
This is like a smart sales coach that listens to your reps’ calls and demos, scores how they did, and gives them specific tips to improve—without a manager having to manually review everything.
This is like having a smart digital sales assistant that reads through all your incoming leads, scores how likely they are to buy, and flags the ones that deserve your team’s attention first.
Think of this as a smart digital prospector for sales teams: instead of humans manually hunting for potential customers and guessing who might be interested, AI tools automatically scan data, score which prospects are most likely to buy, and surface ready-to-contact leads for reps.
This is like giving your online store a very fast, very smart assistant that watches how customers browse, what they buy, and how the site behaves, then constantly tweaks recommendations, pricing, and operations to sell more with less waste.
Think of this as a mood detector for your customers’ messages. It automatically reads emails, chats, and tickets and tags them as happy, neutral, or upset, so your team knows where to focus and how to respond.
This is like giving every shopper their own smart stylist who has read the entire store catalog, remembers what similar customers liked, and can instantly suggest the right products and bundles in natural language across web, app, email, and chat.
Think of this as a smart control tower for a call center. It watches millions of customer interactions, spots what’s working and what’s broken, and then uses AI to help agents answer faster, better, and with less effort even when call volumes spike.
Imagine your customer service as a team where humans handle the tricky, emotional conversations and AI assistants quietly do all the busywork in the background — looking up answers, drafting responses, and routing issues so customers get help faster and agents aren’t overwhelmed.
Think of this as upgrading from a dumb FAQ bot to a smart service rep that can actually understand what customers mean, look up the right information, and respond in full sentences across channels—without needing a human every time.
This is like giving your company a super‑listener that reads what customers write (emails, chats, reviews, social posts) and instantly tells you if they’re happy, angry, or confused—at large scale and in real time.
This is like giving every salesperson a smart co‑pilot that tells them who to call next, what to say, and when to follow up based on patterns in past deals and customer behavior.
This is like having an always-on assistant that reads every customer message, review, or chat and tells you in plain language whether people are happy, angry, or confused – then rolls that up into clear dashboards for your teams.
This is about turning your CRM (Microsoft Dynamics 365) into a smart sales assistant that watches all your customer data, predicts who to talk to next, and automates routine follow‑ups so your sales team can focus on closing deals instead of clicking buttons.
This is like giving your sales team a super-assistant that automatically finds potential customers, checks which ones are worth their time, and lines up the best leads so reps can focus on closing deals instead of hunting and data entry.
This is like giving your marketing team a crystal ball that looks at all your past customer and campaign data and says, “If you spend money here, with this message, to this audience, you’re most likely to get results.”
This is like a super-smart marketing Rolodex that automatically figures out which customers are most likely to respond to which messages, and then helps you talk to each group differently across ads, email, and your website.
This is like giving every marketer a smart digital assistant that can brainstorm campaigns, write and adapt content for lots of channels, and analyze what’s working—so a small team can operate like a much larger one.
This is like giving your holiday marketing team a smart robot helper that can brainstorm festive campaign ideas, write ad copy and emails, and suggest which products to promote to which customers, so your seasonal campaigns land better with less manual work.
This is like a smart digital sales assistant that looks at all your incoming leads and quickly tells your reps which ones are worth calling first, based on how likely they are to buy.
This is like giving your customer service team a tool that reads every customer message, figures out whether the person is happy, angry, or confused, and then summarizes the main issues so you know what to fix first.
Think of this as a super-assistant for your sales team that listens to customer data, drafts emails and proposals, suggests next-best actions, and keeps the CRM clean so reps can spend more time talking to customers instead of typing notes.
This is like a smart assistant that sits in on every sales call, takes perfect notes, and then gives each rep targeted coaching tips so managers don’t have to manually review hours of recordings.
This is like giving every potential customer a school report card so your sales team knows who’s most likely to buy and should be called first, instead of treating every name on a list the same.
This is like a smart co-pilot for your ad campaigns that constantly watches performance and quietly suggests what to tweak—budget, segments, messaging—while the campaign is still running so you don’t waste money.
Imagine every customer sale is a relay race where many marketing touches (ads, emails, social posts, referrals) pass the baton before someone finally buys. Classic “last-click” gives the medal only to the last runner. An AI attribution model watches the whole race and fairly credits each runner so you know which parts of your marketing truly drive revenue.
This is like installing security cameras on all the doors of your store so you can finally see which doors customers actually use before they buy. Instead of guessing which ads or channels work, you can trace the real path people take from first touch to purchase.
This is like giving every B2B salesperson a personal sales coach that’s available 24/7. Instead of a human coach listening to calls and giving feedback once in a while, the AI listens to what’s happening in sales interactions and then gives tailored tips and practice to help reps close more deals.
This is like giving every sales manager a smart assistant that listens to deals, compares what reps are doing to the company’s preferred selling method, and then suggests targeted coaching actions and talk tracks so deals close faster and more consistently.
This is like giving your online store a smart brain that watches how every shopper browses and buys, then quietly adjusts prices, search results, and recommendations so each person sees what they’re most likely to want and buy.
This is like figuring out which players on your sales team actually helped score a goal, not just who made the last kick. Data-driven attribution looks at all your marketing touchpoints (ads, emails, website visits, etc.) and uses statistics to decide how much each one contributed to a sale or conversion.
This is like teaching a junior sales assistant how to read and respond to emails correctly, but the assistant is an AI inside Dynamics 365. These settings tell the AI which inbox to watch and how to handle qualification emails so it can help sales reps faster and with fewer mistakes.
Think of this as turning your marketing from guessing to GPS navigation. Instead of marketers guessing what customers might want, AI and predictive analytics study past behavior (clicks, purchases, time on site) to forecast what each person is likely to want next and automatically adjust campaigns, channels, and offers in real time.
This is like giving every salesperson a smart, trustworthy assistant that lives inside their CRM. It listens to all the data in your sales boards, summarizes what’s important, predicts which deals need attention, and drafts the next emails or follow‑ups for you, while keeping managers in control of what AI can and can’t do.
This is like having a tireless junior sales rep who reads inbound leads, asks them a few smart questions over email or chat, and then passes only the truly interested and qualified prospects to your human sales team.
Imagine your sales team has a long line of people waiting outside the store, but only a few will actually buy. AI lead scoring is like a smart bouncer that looks at each person’s behavior and history, then quietly tells your reps, “Talk to these five first; they’re most likely to buy today.”