AI Advertising Video Examples: 28 Ads From AI Companies

Ceipal sells an AI recruiting platform. The ad opens on the mess of traditional hiring, then pulls every HR function into one place.

What works here:

• The mess comes first. Scattered hiring tools funnel into one platform, and the on-screen text names the fix: no more hiring silos.
• Then the AI does specific jobs: candidate ranking, analytics dashboards, automated scheduling and two-way email sync.
• The promise stays narrow. Automate the high-volume tasks, as the video's own title puts it.

The move: Name the silo your buyer works around today, on screen, before the AI shows up. If your first frame could sell any AI tool, it's too vague.

Zoho CRM Plus is a unified customer experience platform. The video opens on one customer bouncing between touchpoints that don't connect.

What works here:

• The mess has a face. One animated customer moves through marketing, sales and support, and nothing joins up.
• The AI shows up as small, specific help. Zia suggests the “Best Time to Contact,” and social mentions become support tickets with sentiment analysis.
• Dashboards close it, with deals, tickets and customer behavior in one view.

The move: Follow one of your buyer's customers through the broken process first. Then add your AI at the exact point where it breaks.

WalkMe X is a contextual AI copilot for enterprise apps. The ad opens on a split most companies know: a few experts get value from AI, and most employees feel overwhelmed.

What works here:

• The problem isn't AI. It's prompting. The ad names the gap between the expert and everyone else.
• The fix needs no prompt. In a simulated email screen, WalkMe X reads the context and suggests “next best actions.”
• The promise fits in two words. Every employee becomes an “AI Pro,” from sales to support.

The move: If your buyer's problem is AI adoption, show the employee who's stuck, not the one who's thriving. Then remove their hardest step.

Tredence's Sancus sells AI-driven data quality management. The explainer opens on the cost of bad data, which the video puts at $10 million a year.

What works here:

• The cost comes first, as a number. The problem has a price before it has a fix.
• Then the cleanup. Machine learning cleanses, deduplicates and harmonizes data, and a dashboard shows health scores and trends.
• It names the stack it runs on, the Databricks Lakehouse, plus connections to ERP and CRM systems.

The move: Put a price on the mess before you show the cleanup. Then name one system your buyer already runs.

AWS sells Amazon Connect voice agents for customer service. The ad plays the same call twice: once with a typical bot, once with Amazon Connect.

What works here:

• The bad version is funny because it's familiar. Nikki asks to reserve a pink tutu for her dog's birthday, and the bot changes her name to Park Road.
• The good version already knows the item is in her cart. It reserves it at the 33 Park Road store and sends a confirmation text.
• Then the handoff. Nikki asks for a person, and Diego in customer success picks up with the full context.

The move: Replay your buyer's worst support call, then the same call with your product. If the contrast needs a voiceover to explain it, the two scenes aren't different enough.

Capgemini's Cloud Consumption On-Demand helps companies control spend on cloud, generative AI and Copilot services. The ad opens on one question: “What's the cost of a click?”

What works here:

• The mess is invisible, so the ad makes it visible. Every employee is a potential buyer, and every click is a micro cost.
• Generative AI raises the stakes. The voiceover warns that on-demand spending will skyrocket.
• It closes where it opened: “Every click counts, so know the cost of a click.”

The move: If your buyer's problem hides in small actions, show one action and add up its cost. Then end on the image you opened with.

Tietoevry's Health Data Platform helps health systems use the data they already hold. The video opens on the pressure: an aging population, demand for precision medicine and rising costs.

What works here:

• Pressure comes first. Three forces every health leader recognizes arrive before the platform does.
• Then the payoff for each user: faster medical research, better tools for clinicians and AI-supported decisions.
• A 3D diagram stacks the layers one at a time: data ingestion, data lake storage, analytics and applications.

The move: Name the outside forces your buyer can't control. Your AI then answers pressure they already feel.

Salesloft explains what a revenue orchestration platform is with one picture: an orchestra. Uncoordinated instruments become a symphony.

What works here:

• Sound carries the idea. You hear the chaos of disconnected go-to-market teams before you see the fix.
• Then the mechanics. Revenue data and buyer signals feed the AI, which turns millions of interactions into prioritized actions for sellers.
• A flywheel closes it. Outcomes feed back into the model, so the advice keeps improving.

The move: If your category name confuses buyers, find one picture that explains the word. Salesloft's category says orchestration, so it shows an orchestra.

Salesforce explains agentic orchestration as a band. One AI agent is a solo musician. Many agents need a bandleader.

What works here:

• The metaphor answers the obvious question: why not just add more agents? Without a leader, the voiceover says, “you get a disconnected racket.”
• It stretches without breaking. Outside AI agents, like a supplier's, join as guest performers.
• Trust gets its own title card. The Trust Boundary authenticates credentials before data is exchanged.

The move: Pick a metaphor that can carry your hardest objection, not just your headline. If it breaks at the security question, pick another.

Mercedes-Benz Canada sells AI personalization in 15 seconds. Glowing data particles come together into the shape of the car.

What works here:

• One image carries the claim. Data builds the car, so “cars that learn from you” needs no diagram.
• The line is about the driver, not the model. “Learn from you” puts the buyer at the center.
• At 15 seconds, there's no room for a feature list, and the ad doesn't try.

The move: Turn your AI's input into the visible material of your product. If the picture works with the sound off, it works in a feed.

Accenture's 31-second ad sells generative AI services to financial institutions. Abstract 3D shapes morph from complex to simple as the voiceover explains what AI does with information.

What works here:

• The picture is the promise. Tangled forms become clean ones, the way massive amounts of information become answers.
• Three plain benefits: more efficient, wiser and faster. No model names and no jargon.
• It ends on what the buyer gets next: new business opportunities.

The move: If you sell a service built on AI, show the shape of the change, not the technology. Complex to simple is a picture every executive reads.

Mercury Systems makes technology for AI, autonomy, cloud and space. Its 21-second ad moves from an astronaut's helmet display to a microchip on a fingertip to a digital city.

What works here:

• Scale is the picture. Three shots, from space to a chip to a city, cover the whole range of the business.
• The palette stays monochrome with blue-green digital overlays, so every shot looks like the same brand.
• It closes on a tagline that doubles as the promise: “The Speed of Mercury.”

The move: If your AI runs at many scales, show the smallest and the largest in one cut. Let the viewer fill in the middle.

Ericsson sells AI and generative AI for telecom operations software. In 51 seconds, it turns intent-driven, closed-loop service assurance into a loop you can watch.

What works here:

• The loop is the picture. A “Cognitive loop” turns a continuous process into one shape the viewer can follow.
• Short on-screen text carries the terms, so operators see the words they use at work.
• It names the products behind it: Ericsson Service Orchestration and Assurance, and Ericsson Expert Analytics.

The move: If your AI runs a continuous process, draw it as a loop. Then name the product that runs each part.

SkyHive by Cornerstone sells AI for skills-based workforce planning. The video gives the buyer a three-part plan before it gives them a product.

What works here:

• Three pillars shape the whole video: define your purpose, build a data-driven foundation, then embrace automation.
• It borrows authority early, citing Deloitte data on why skills transformation matters.
• The AI arrives in pillar two, translating jobs into skills with real-time labor market data.

The move: If your buyer needs a plan before a product, give them the plan in 3 steps. Put your AI inside one step, not on top of all three.

Google UK's Lens ad runs 6 seconds. Its title is the whole brief: find that thing.

What works here:

• One task, no setup. Point the phone, and Lens identifies what's in front of you.
• There's no explanation of how image recognition works. The result is the explanation.
• Six seconds is the length of 6-second bumper ads, where one action is all there's room for.

The move: Cut your AI ad down to one request and one result. If it still makes sense in 6 seconds, your longer cuts will too.

ElevenLabs sells ElevenAgents, a platform for building AI agents that talk to customers. The ad shows an agent finishing a job in its own words: “I've processed your refund.”

What works here:

• The job is concrete. The agent adds, “The funds will arrive in 3 to 5 business days,” then confirms on WhatsApp.
• The safety step comes before go-live: simulate real scenarios, then A/B test changes and track results.
• The look is spare: near-white space, soft orbs and a short row of compliance badges like SOC 2 and GDPR.

The move: Show your AI's actual reply, word for word, at the moment it finishes a job. A finished sentence beats a feature name.

Microsoft's sizzle ad introduces two AI agents inside Dynamics 365 Business Central. Each one gets a job description, not a feature list.

What works here:

• The Sales Order Agent's job fits in one line: orders come in, quotes go out, inventory is checked.
• The Payables Agent reads vendor invoices, classifies invoice lines, assigns accounts and routes them for approval. Four verbs, one job.
• Then it hands the buyer the tools: start building your own agents for your own workflows.

The move: Write your AI feature's job as the chain of verbs your buyer's team does today. If you can't list the verbs, the job isn't clear yet.

nCino Banking Advisor is an AI assistant for bankers. The 41-second ad, titled Time Optimized, shows where a banker's time comes back.

What works here:

• The AI answers a real banking question: a policy query about breached covenants.
• Then the paperwork. Several financial documents upload at once, and a credit memo is generated automatically.
• It catches a problem too, flagging a minimum liquidity covenant breach and explaining the RAROC analysis.

The move: Use the exact question your buyer types at work, jargon included. A banker trusts “breached covenants” more than “smart insights.”

Contlo.ai sells an AI marketing assistant. The ad starts with an overwhelmed business owner, then hands the work to a chat box.

What works here:

• Every job starts as a typed request. Segments, email campaigns and multi-step customer flows get built from plain language.
• Creative comes from the same box: ad copy and social creatives.
• Results come back as chat replies, not a dashboard to dig through.

The move: Show the request and the result in the same frame. If the viewer needs a cut to connect them, the job looks harder than it is.

Vendasta's tutorial shows marketing agencies how to build a social media calendar with AI in Social Marketing Pro. It's a how-to, and it sells by teaching.

What works here:

• One prompt makes up to five posts, each with text and an image from Pixabay.
• Each network gets its own version, with wording and calls to action tuned for LinkedIn or Facebook.
• The workflow has three named steps: Create, Select, Save.

The move: Name your AI workflow's steps in 3 words your buyer can remember. Then show each step once.

SundaySky sells an AI video platform for business teams. The ad shows its AI Copilot turning a short text prompt into a full video brief.

What works here:

• The first job is the hardest one: starting. Copilot writes the brief from a prompt.
• Personalization uses real fields: a viewer's name, an enrollment date, a product detail.
• Then the toolkit: screen recording, AI media generation, text-to-speech voices and custom avatars.

The move: Show the blank-page moment your AI removes. The first step is usually where your buyer gives up.

OntargIT's ad covers Dynamics 365 Customer Insights, powered by Microsoft Copilot. Scattered customer data becomes one profile, and then the profile goes to work.

What works here:

• Questions go in as plain language, and answers come back about customer behavior.
• Copilot builds the campaign: audience segments, content and a flow from abandoned cart to follow-up email.
• Each team gets one use: lead scores for sales, churn risk for service agents.

The move: Give each team in the buying committee one task the AI does for them. Sales, marketing and service each need their own scene.

ClickUp's video is a guide, not a classic ad: 8 steps for using AI in customer service without losing the human touch. It sells the platform by teaching the job it supports.

What works here:

• The title names the fear first: losing the human touch.
• The AI jobs are specific: organizing data, reading sentiment and filling templates.
• The benefits are ones a support lead tracks: shorter wait times and more personal replies.

The move: If your buyer worries AI will make them sound robotic, put that fear in your title. Then teach the job step by step.

Deel's COO introduces Akai, the AI agent platform Deel built for itself. The proof is Deel's own operations.

What works here:

• It opens on a wall every operator has hit: “You automate a few steps, then you hit a wall.”
• Then the receipts: over 91,000 hours saved, and reconciliation that took 20-plus days now done in minutes.
• The control line comes early. Akai scales “always with humans in the loop.”

The move: If you run your own AI internally, lead with your own numbers. You're the first customer, and the most believable one.

Databricks sells AI agents to financial services firms through Agent Bricks. The ad stacks three client results, each with its own numbers.

What works here:

• Investment research: time cut from 8 hours to 15 minutes, and over $250 million in value.
• Compliance: 98% saved in legacy costs and a 30% improvement in suspicious transaction detection across 13 markets.
• Personalization: an app for 39 million customers, with a 6% increase in clicks and a 30% increase in conversion.

The move: Give each use case its own number, in the order your buyer cares about. Three results with numbers beat ten without.

UOB's video explains the AI model the bank uses for portfolio optimization. It's a bank showing its own AI at work, with results from 2023.

What works here:

• The old way is named: subjective asset allocation. The new way balances return on risk-weighted assets against revenue growth.
• The result is specific: revenue up over 5% and a 3 basis point improvement in RoRWA in 2023.
• Scale comes last. The model proved itself in UOB Singapore and is rolling out across the region.

The move: Put your result next to the year it happened. A dated number reads like a record, not a forecast.

GoAigua, from Idrica, sells an AI platform for water utilities. Data overlays sit on top of real water infrastructure.

What works here:

• Overlays tie the data to the place. SCADA flows and smart meter readings appear over the network they measure.
• The video gives three results: 40% less non-revenue water, 20% better operational efficiency and 60% higher customer satisfaction.
• Heritage backs the AI: 130 years of experience from Global Omnium.

The move: Pair every result with the place it happens. A number over a real pipe is harder to doubt than a number on a slide.

NVIDIA's video lets customers make the case. Leaders from Lowe's, JLR, Siemens and Amazon Robotics explain what they built on NVIDIA's AI and Omniverse platform.

What works here:

• Named customers carry the proof. Each one talks about their own operation, from retail store layouts to supply chains.
• Digital twins show the work: cities designed with Cesium, ships assembled virtually with Siemens.
• The range is the point. Retail, cars, robotics and drug discovery sit in one video.

The move: If you can't publish a number, publish a name. A customer leader explaining their own result is the next best proof.