Mentioned in 72 AI use cases across 7 industries
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.
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 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 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.
Think of this as an AI writing team that quickly drafts SEO-friendly articles, product descriptions, and web copy so your human marketers can focus on strategy and polishing instead of starting from a blank page.
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.
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.
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.
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.
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.
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.
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.
This is like giving your social media team a smart assistant that studies your followers’ behavior all day, figures out what they like, and then helps you decide what to post, when to post it, and who to show it to so your ads and content work better with less guesswork.
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 having a smart sales assistant that reads a prospect’s details in HubSpot and then drafts a personalized outreach email in Gmail for you, so reps just review, tweak if needed, and send.
This is like an assistant that reads details about your prospect and then drafts a tailored outreach message for you, instead of you starting from a blank screen every time.
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.
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.
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 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 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 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.
Think of this as a smart digital marketing assistant for property developers that studies the market, watches what competitors are doing, and then helps design and run online campaigns that attract the right buyers or tenants automatically.
Think of Salesforce as a digital command center where all your customer information, sales activities, and marketing efforts live in one place — and now it has an AI copilot that recommends who to call next, what to say, and automates a lot of the busywork.
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.
Think of this as a super-accountant for your marketing: it watches people’s interactions with your brand across ads, social, search and other touchpoints, then tells you which efforts actually caused sales or sign‑ups so you know what’s working and what to cut.
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 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.
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 having a smart junior copywriter who already understands SEO best practices. You tell it your topic and goals, and it drafts blog posts that are structured and keyword-aware so they can rank better on Google.
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 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.
This is like giving every salesperson a smart robot assistant that finds the right prospects, sends them tailored messages, and follows up automatically so reps spend their time only on the most promising deals.
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.”
This tool is like an automated marketing analyst that studies all your customer data and groups people into smart, predictive segments so you can send the right message to the right audience at the right time.
This is like giving every support agent, chatbot, and help center a smart assistant that instantly looks through all your FAQs, guides, and past answers to suggest the best response for each customer question.
Think of this as a smart traffic cop for customer support: AI reads every incoming ticket, figures out what it’s about, how urgent it is, and who should handle it, then routes and responds faster than a human triage team ever could.
This is a playbook for using AI as a smart online sales assistant inside a WooCommerce store – helping write product copy, recommend items, answer customer questions, and improve marketing so more visitors end up buying.
This is like giving every small or mid-sized company its own 24/7 super-helpful support rep that never sleeps, remembers everything customers asked before, and can instantly look up answers across all your docs, FAQs, and past tickets.
Think of an AI helpdesk as a smart, tireless receptionist plus support agent that lives inside your email, chat, and ticket tools. It reads what customers ask, finds the right answers from your knowledge base, drafts replies for agents, and sometimes responds to customers automatically—24/7—so humans only handle the tricky cases.
This is like giving your customer support inbox a smart assistant that automatically understands, sorts, and drafts replies to tickets so your human agents only handle the tricky parts.
Think of this as a smart email inbox for customer support that can read every message, understand what it’s about, automatically suggest or send replies, and route it to the right person—while making sure privacy rules like GDPR are respected.
This is a playbook for turning your customer experience into something like a 24/7 super-listener and problem-solver: software that reads what customers say in surveys, chats, emails, and reviews, figures out what they really mean, and then helps your team respond faster and smarter.
Imagine your support inbox has a super-smart teammate who instantly reads every ticket, understands what the customer is asking, searches all your past tickets and help docs, and then drafts the perfect reply or even solves it automatically—before a human agent has to touch it.
Think of this as a supercharged help desk where an AI assistant works alongside your human support team—instantly answering common questions, routing tickets to the right agents, and suggesting replies so agents can resolve issues faster.