AI co-pilot use cases for Creative Agency Roles
Artificial intelligence (AI) is transforming various industries and sectors, including the creative one. Creative agencies that embrace AI into their workflow can gain a competitive edge and deliver better results for their clients and audiences. In this document, we will explore how AI can help different roles in a creative advertising agency, such as copywriters, graphic designers, account managers, etc., to perform their tasks more efficiently and effectively. We will also provide examples of AI tools that are available now or announced to be coming soon that can be used for each role and use case. Finally, we will share some case studies where AI has been successfully applied by creative agencies to showcase their work and value proposition.
The key benefit of a creative agency embracing AI into its workflow is increasing efficiency. By using AI to automate tedious and repetitive tasks such as content creation, keyword research, ad bidding, etc., creative agencies can save time and effort that can be reinvested in other creative areas. This allows them to focus on higher-value tasks such as strategy development, idea generation, branding design, etc., that require human creativity and ingenuity.
Another benefit of increasing efficiency is enhancing collaboration. By using AI to analyse data and identify patterns and trends that inform creative decisions and strategies, creative agencies can communicate more effectively with their clients and audiences. They can also collaborate more easily with their team members by using AI-powered project management tools that track progress and deadlines. Moreover, they can leverage AI to generate new ideas and concepts that are original and cutting-edge, which can spark more inspiration and innovation among their team.
A third benefit of embracing AI is staying ahead of the competition. By using AI to create more relevant and impactful content for their clients and audiences, creative agencies can increase their competitive advantage and differentiate themselves from other agencies that may not be using AI or using it less effectively. AI can also help creative agencies reduce costs and increase profits by optimising campaigns and improving ROI.
The expected impacts over the first year of a creative agency embracing AI into their workflow are:
- Higher client satisfaction and retention rates due to improved quality of work
- Higher audience engagement and conversion rates due to more relevant content
- Higher revenue growth due to more efficient campaigns
- Higher brand reputation due to more innovative work
What follows are use cases by a role where AI could provide co-pilot assistance in the pursuit of creative excellence. This list is not exhaustive, and the tools referenced may not be the right choices to use but should act as a guide to the functionality available today or very shortly.
AI can help creative directors analyse data and identify trends to inform their creative vision. This can help them create more relevant and impactful content for their clients and audiences. AI tools that could be used for this include Adobe Sensei, which powers various features in Adobe products such as content-aware fill, auto-colourise, and colour harmony; Pattern89, which uses computer vision and deep learning to predict the best visual elements for digital ads1; and NeevaAI, which provides direct, AI-generated responses with citations for any query2.
AI can help create mockups, explore ideas, and make image assets for creative presentations. This can help them save time and effort in designing and visualizing their campaigns and proposals. AI tools that could be used for this include Uizard, Canva, Jasper.ai, Midjourney. A case study where this has been done before is Canva itself, which is an AI-enhanced platform that helps users create amazing visuals for their presentations with ease.
AI can help creative directors identify gaps in the market and develop new products or services to fill those gaps. This can help them create more value and differentiation for their clients and audiences. AI tools that could be used for this include OpenAI Codex, which can generate code, text, images, and music from natural language commands1; Lobe.ai, which allows users to create custom machine learning models without coding1; and PicsArt AI Writer, which can generate marketing copy, slogans, product descriptions, LinkedIn headlines, Instagram captions, and more3.
AI can help creative directors identify new target audiences and develop marketing strategies to reach those audiences. This can help them expand their reach and engagement with their clients and audiences. AI tools that could be used for this include GPT4 and Persado, which uses natural language processing (NLP) to generate personalised messages that drive action1; Phrasee, which uses natural language generation (NLG) to optimize email subject lines, headlines, and social media posts1; and AdCreative.ai, which creates seamless banner designs using a trained AI machine learning model that helps companies scale quickly4.
AI can help creative directors analyse the performance of their marketing campaigns and make data-driven decisions to optimise those campaigns. This can help them improve the effectiveness and efficiency of their campaigns for their clients and audiences. AI tools that could be used for this include Marpipe, which is an automated tool for data-driven creative ad testing3; Eightify, which creates text summaries of YouTube videos with highlights you can click on to jump to the relevant video section3; NotionAI and Microsoft Loop, which uses prompts to create text inside any document activated by pressing Space on a new line3.
AI can help creative directors facilitate brainstorming sessions to generate fresh ideas and concepts to inspire creative directors’ teams. This can help them enhance creativity innovation campaigns products services clients’ audiences AI tools could use including Midjourney, and Firefly collection generative tools developed by Adobe to convert text prompts imagery to apply prompt-based create synthesised images and videos. Adobe hasn’t revealed the pricing for Firefly, but a case study where this has been done before is Burger King’s Whopper Detour campaign. It was partly conceived from analysing previous campaigns and suggested ways to increase customer engagement.
Graphic Designer
AI can help graphic designers generate new design concepts based on a set of parameters or criteria. This can save time and effort for graphic designers who need to create multiple variations of a design or explore different styles and aesthetics. This may include tools such as Midjourney for use cases that suit it. AI tools that could be used for this include Artbreeder, which allows users to create and mix images using generative adversarial networks (GANs); RunwayML, which enables users to apply various machine learning models to images and videos; and Designify, which uses natural language processing (NLP) to generate logos from text descriptions1. A case study where this has been done before is Logojoy, an online logo maker that uses AI to generate logos based on user input1.
AI can help create mockups, explore ideas, and make image assets for creative presentations. This can help them save time and effort in designing and visualizing their campaigns and proposals. AI tools that could be used for this include Uizard, Canva, Jasper.ai, Midjourney. A case study where this has been done before is Canva itself, which is an AI-enhanced platform that helps users create amazing visuals for their presentations with ease.
AI can help graphic designers automate repetitive tasks such as resizing images or creating colour palettes. This can increase productivity and efficiency for graphic designers who need to work with large amounts of images or colours. AI tools that could be used for this include Canva, which offers a smart resize feature that automatically adapts designs to different dimensions and formats; Adobe Sensei, which powers various features in Adobe products such as content-aware fill, auto-colourise, and colour harmony23; and Figma, which provides a plugin system that allows users to integrate various AI-powered tools into their design workflow1.
AI can help graphic designers identify trends in design and incorporate those trends into their work. This can help them create more relevant and appealing designs for their clients and audiences. AI tools that could be used for this include Stable Diffusion Online, which is a free Stable Diffusion artwork generator; Craiyon, which is an online artwork generator that uses the Dall-E Mini model; Dall-E, which is OpenAI’s image-generation tool that can create up to 15 free images per month from text prompts4.
AI can help graphic designers analyse the performance of their designs and make data-driven decisions to optimise those designs. This can help them improve the effectiveness and quality of their designs for their clients and audiences. AI tools that could be used for this include Marpipe, which is an automated tool for data-driven creative ad testing; Eightify, which creates text summaries of YouTube videos with highlights you can click on to jump to the relevant video section; NotionAI, which uses prompts to create text inside any Notion document activated by pressing Space on a new line4.
AI can assist with typography selection and pairing ensuring harmonious visually appealing designs This can help them enhance the readability and attractiveness of designs for the clients’ audiences AI tools could use include Fontjoy, which generates font pairs using deep learning; FontPairings.byPeople, which suggests font combinations based on mood style category; Typito, which helps users create stunning text videos with hundreds of fonts animations
Web Designer
AI can help web designers generate new design concepts based on a set of parameters or criteria. This can help them save time and effort in creating mock-ups and prototypes for their clients and audiences. AI tools that could be used for this include Midjourney, Uizard, Sketch2Code, and Umso. A case study where this has been done before is Uizard itself, which is an AI-powered platform that helps users create websites from sketches or questions in minutes.
AI can help create mockups, explore ideas, and make image assets for creative presentations. This can help them save time and effort in designing and visualizing their campaigns and proposals. AI tools that could be used for this include Uizard, Canva, Jasper.ai, Midjourney. A case study where this has been done before is Canva itself, which is an AI-enhanced platform that helps users create amazing visuals for their presentations with ease.
AI can help web designers automate repetitive tasks such as resizing images or creating colour palettes. This can help them improve their productivity and efficiency in delivering high-quality designs. AI tools that could be used for this include Adobe Sensei, Canva, and Pixlr. A case study where this has been done before is Canva itself, which is an AI-enhanced platform that helps users create stunning visuals for their websites with ease.
AI can help web designers identify trends in design and incorporate those trends into their work. This can help them stay ahead of the curve and create more relevant and appealing designs for their clients and audiences. AI tools that could be used for this include Pattern89, NeevaAI, and Lobe.ai. A case study where this has been done before is Pattern89 itself, which is an AI-powered platform that helps users optimise their digital ads with data-driven insights.
AI can help web designers analyse the performance of their designs and make data-driven decisions to optimise those designs. This can help them improve their conversion rates and user satisfaction with their websites. AI tools that could be used for this include Google Analytics, Hotjar, and Optimizely. A case study where this has been done before is Optimizely itself, which is an AI-based platform that helps users run experiments and tests on their websites to find the best variations.
AI can help web designers improve website accessibility by suggesting enhancements or identifying issues in real time. This can help them make their websites more inclusive and compliant with accessibility standards. AI tools that could be used for this include Accessibe, WAVE, and Siteimprove Accessibility Checker. A case study where this has been done before is Accessibe itself, which is an AI-enabled platform that helps users make any website accessible for people with disabilities.
Copywriter
AI can help copywriters generate new copy based on a set of parameters or criteria. This can save time and effort for copywriters who need to create multiple variations of a copy or explore different styles and tones. AI tools that could be used for this include Open AI’s GPT4, Copy.ai, Writesonic, and Jarvis.ai. A case study where this has been done before is Copy.ai itself, which is an AI-powered platform that helps users generate creative copy for various purposes such as slogans, headlines, captions, and more1.
AI can help copywriters automate repetitive tasks such as proofreading or fact-checking. This can increase productivity and efficiency for copywriters who need to ensure their copy is error-free and accurate. AI tools that could be used for this include Open AI’s GPT4, Microsoft Bing and Office 365 Grammarly, Hemingway, and Wordtune. A case study where this has been done before is Grammarly itself, which is a popular AI writing assistant that helps users improve their writing quality and clarity2.
AI can help copywriters identify trends in language and incorporate those trends into their work. This can help them stay updated and relevant in the fast-changing language industry. AI tools that could be used for this include Textio, Phrasee, and Persado. A case study where this has been done before is Textio itself, which is an AI-powered writing platform that helps users optimise their language for specific audiences and goals3.
AI can help copywriters analyse the performance of their copy and make data-driven decisions to optimise that copy. This can help them improve their user engagement and conversion rates. AI tools that could be used for this include Hotjar, Crazy Egg, and EyeQuant. A case study where this has been done before is Hotjar itself, which is a popular tool that provides insights into website user behaviour and feedback4.
AI can assist in generating compelling headlines, taglines, and calls-to-action to improve copy performance. AI tools that could be used for this include Open AI’s GPT4, Microsoft Bing and Office 365, Headlime, CoSchedule Headline Analyzer, and Portent’s Content Idea Generator. A case study where this has been done before is Headlime itself, which is an AI-powered tool that helps users generate catchy headlines for their content.
Art Director
AI can help art directors generate new design concepts based on a set of parameters or criteria. This can save time and effort for art directors who need to create multiple variations of a design or explore different styles and aesthetics. AI tools that could be used for this include Midjourney, Stable Diffusion, and Dall-E 2. A case study where this has been done before is Midjourney itself, which is an AI-powered platform that helps users generate creative images from text prompts1.
AI can help create mockups, explore ideas, and make image assets for creative presentations. This can help them save time and effort in designing and visualizing their campaigns and proposals. AI tools that could be used for this include Uizard, Canva, Jasper.ai, Midjourney. A case study where this has been done before is Canva itself, which is an AI-enhanced platform that helps users create amazing visuals for their presentations with ease.
AI can help art directors automate repetitive tasks such as resizing images or creating colour palettes. This can increase productivity and efficiency for art directors who need to work with large amounts of images or colours. AI tools that could be used for this include Adobe Sensei, Sketch, and Figma. A case study where this has been done before is Adobe Sensei itself, which powers various features in Adobe products such as content-aware fill, auto-colourise, and colour harmony2.
AI can help art directors analyse the performance of their designs and make data-driven decisions to optimise those designs. This can help them improve their user experience and conversion rates. AI tools that could be used for this include Google Analytics, Hotjar, and EyeQuant. A case study where this has been done before is Google Analytics itself, which is a popular tool that provides insights into website traffic, behaviour, and outcomes.
Video Producer
AI can help video producers generate new video concepts based on a set of parameters or criteria. This can save time and effort for video producers who need to create multiple variations of a video or explore different styles and themes. AI tools that could be used for this include Synthesia, Make-A-Video by Meta, and Lumen5. A case study where this has been done before is Synthesia itself, which is an AI-powered platform that helps users generate realistic videos from text prompts1.
AI can help video producers automate repetitive tasks such as video editing or colour correction. This can increase productivity and efficiency for video producers who need to work with large amounts of footage or effects. AI tools that could be used for this include Adobe Sensei, Magisto, and InVideo. A case study where this has been done before is Adobe Sensei itself, which powers various features in Adobe products such as auto-reframe, content-aware fill, and colour match2.
AI can help video producers identify trends in video production and incorporate those trends into their work. This can help them stay updated and relevant in the fast-changing video industry. AI tools that could be used for this include YouTube Trends Dashboard, Tubular Labs, and VidIQ. A case study where this has been done before is YouTube Trends Dashboard itself, which is a tool that helps users discover trending videos on YouTube across different categories and regions.
AI can help video producers analyse the performance of their videos and make data-driven decisions to optimise those videos. This can help them improve their user engagement and conversion rates. AI tools that could be used for this include Google Analytics, Hotjar, and EyeQuant. A case study where this has been done before is Google Analytics itself, which is a popular tool that provides insights into website traffic, behaviour, and outcomes.
AI can assist in generating personalised video content, adapting narratives, and visual elements for specific target audiences. This can help them create more relevant and effective videos that resonate with their viewers. AI tools that could be used for this include SundaySky, Idomoo, and Wibbitz. A case study where this has been done before is SundaySky itself, which is an AI-powered platform that helps users create personalised videos at scale.
Social Media Manager
AI can help social media managers generate post ideas based on a set of parameters or criteria. This can save time and effort for social media managers who need to create multiple variations of a post or explore different styles and tones. AI tools that could be used for this include Open AI’s GPT4, Microsoft Bing and Office 365, Lately, Copy.ai, and Jarvis.ai. A case study where this has been done before is Lately itself, which is an AI-powered platform that helps users generate social media messages from their content1.
AI can help create mockups, explore ideas, and make image assets for creative presentations. This can help them save time and effort in designing and visualising their campaigns and proposals. AI tools that could be used for this include Uizard, Canva, Jasper.ai, Midjourney. A case study where this has been done before is Canva itself, which is an AI-enhanced platform that helps users create amazing visuals for their presentations with ease.
AI can help social media managers automate repetitive tasks such as scheduling posts or responding to common user queries. This can increase productivity and efficiency for social media managers who need to ensure their posts are timely and relevant. AI tools that could be used for this include Open AI’s GPT4, Microsoft Bing and Office 365, Socialbakers, Hootsuite, and Heyday. A case study where this has been done before is Socialbakers itself, which is an AI-driven social media management platform that offers smart scheduling and audience analysis features2.
AI can help social media managers identify trends in social media content and engagement, allowing them to adapt their strategies accordingly. This can help them stay updated and relevant in the fast-changing social media industry. AI tools that could be used for this include Linkfluence, BuzzSumo, and Sprout Social. A case study where this has been done before is Linkfluence itself, which is a social media analytics tool that uses AI-powered social intelligence to help companies measure and improve brand equity, detect consumer trends, and understand target audiences3.
AI can help social media managers analyse the performance of their social media campaigns and make data-driven decisions to optimise their content and reach. This can help them improve their user engagement and conversion rates. AI tools that could be used for this include Google Analytics, Hotjar, and EyeQuant A case study where this has been done before is Google Analytics itself, which is a popular tool that provides insights into website traffic, behaviour, and outcomes.
Project Manager
AI can help project managers process client briefs and write them in the correct format for briefing creative or digital production teams. This can help them save time and effort in understanding client requirements and communicating them clearly and accurately to their teams. AI tools that could be used for this include WNR.ai, Frase, and Jasper.ai. A case study where this has been done before is Frase itself, which is an AI-powered platform that helps users create content briefs for various purposes such as blog posts, landing pages, newsletters, etc.
AI can help project managers create engaging presentations for their clients or stakeholders. This can help them showcase their work and value proposition more effectively and persuasively. AI tools that could be used for this include Microsoft Office 365, Sidebean, and Canva. A case study where this has been done before is Slidebean itself, which is an AI-driven platform that helps users create presentations for various purposes such as pitch decks, sales decks, webinars, etc.
AI can help project managers capture meeting notes and action items. This can help them save time and effort in documenting and summarising key points and follow-ups from meetings. AI tools that could be used for this include Microsoft Bing and Office 365. Otter, Supernormal, and Avoma. A case study where this has been done before is Otter itself, which is an AI-powered platform that helps users capture meeting notes for various purposes such as education, journalism, podcasting, etc.
AI can help project managers write and respond to customer emails. This can help them save time and effort in crafting clear, concise, and engaging emails that address customer needs and expectations. AI tools that could be used for this include Open AI’s GPT4, Microsoft Bing and Office 365, Jasper.ai, and Persedo. A case study where this has been done before is Persado itself, which is an AI-driven platform that helps users create effective email campaigns for various purposes such as marketing, sales, customer service, etc.
AI can help project managers with resource allocation by analysing team members’ skills and project requirements to create optimal assignments. This can save time and effort for project managers who need to balance workload and performance across teams. AI tools that could be used for this include Forecast.app, Scoro, and Clarizen. A case study where this has been done before is Forecast.app itself, which is an AI-powered platform that helps users plan projects, allocate resources, and track progress1.
AI can help project managers automate repetitive tasks such as tracking project progress, generating status reports, or updating project timelines. This can increase productivity and efficiency for project managers who need to ensure their projects are on track and on budget. AI tools that could be used for this include Wrike, Asana, and Zoho Projects. A case study where this has been done before is Wrike itself, which is an AI-driven project management tool that offers smart automation features such as dynamic request forms, automated workflows, and intelligent reporting2.
UX/UI Designer
AI can help UX/UI designers generate user interface concepts based on a set of parameters or criteria. This can save time and effort for UX/UI designers who need to create multiple variations of a design or explore different styles and themes. AI tools that could be used for this include Midjourney, Stable Diffusion, and Dall-E 2. A case study where this has been done before is Midjourney itself, which is an AI-powered platform that helps users generate creative images from text prompts1.
AI can help create mockups, explore ideas, and make image assets for creative presentations. This can help them save time and effort in designing and visualising their campaigns and proposals. AI tools that could be used for this include Uizard, Canva, Jasper.ai, Midjourney. A case study where this has been done before is Canva itself, which is an AI-enhanced platform that helps users create amazing visuals for their presentations with ease.
AI can help UX/UI designers automate repetitive tasks such as creating wireframes or generating design assets. This can increase productivity and efficiency for UX/UI designers who need to work with large amounts of elements or effects. AI tools that could be used for this include Midjourney Adobe Sensei, Sketch, and Figma. A case study where this has been done before is Adobe Sensei itself, which powers various features in Adobe products such as content-aware fill, auto-colourise, and colour match2.
AI can help UX/UI designers analyse the performance of their designs and make data-driven decisions to optimise user experience and engagement. This can help them improve their user satisfaction and conversion rates. AI tools that could be used for this include Google Analytics, Hotjar, and EyeQuant. A case study where this has been done before is Google Analytics itself, which is a popular tool that provides insights into website traffic, behaviour, and outcomes.
Brand Strategist
AI can help brand strategists generate new branding ideas based on a set of parameters or criteria. This can save time and effort for brand strategists who need to create multiple variations of a brand identity or explore different styles and themes. AI tools that could be used for this include Open AI’s GPT4, Microsoft Bing and Office 365 Tailor Brands, Brandmark, and Logojoy. A case study where this has been done before is Tailor Brands itself, which is an AI-powered platform that helps users design logos, websites, and social media assets1.
AI can help create mockups, explore ideas, and make image assets for creative presentations. This can help them save time and effort in designing and visualising their campaigns and proposals. AI tools that could be used for this include Uizard, Canva, Jasper.ai, Midjourney. A case study where this has been done before is Canva itself, which is an AI-enhanced platform that helps users create amazing visuals for their presentations with ease.
AI can help brand strategists conduct desktop research by analysing and summarising relevant information from various sources. This can help them save time and effort in finding and synthesising data and insights that inform their brand strategy. AI tools that could be used for this include Open AI’s GPT4, Microsoft Bing and Office 365, Ferret.ai, Apollo, and Iris. A case study where this has been done before is Ferret.ai itself, which is an AI-powered platform that helps users conduct desktop research for various purposes such as marketing, sales, product development, etc.
AI can help brand strategists automate repetitive tasks such as competitive analysis or brand auditing. This can increase productivity and efficiency for brand strategists who need to monitor their brand performance and benchmark it against their competitors. AI tools that could be used for this include Crayon, Brandwatch, and Talkwalker. A case study where this has been done before is Crayon itself, which is an AI-driven market intelligence platform that helps users track, analyse, and act on their competitive landscape2.
AI can help brand strategists identify trends in branding and incorporate those trends into their brand strategy. This can help them stay updated and relevant in the fast-changing branding industry. AI tools that could be used for this include Linkfluence, BuzzSumo, and Sprout Social. A case study where this has been done before is Linkfluence itself, which is a social media analytics tool that uses AI-powered social intelligence to help companies measure and improve brand equity, detect consumer trends, and understand target audiences3.
AI can help brand strategists analyse the performance of their brand positioning and messaging and make data-driven decisions to optimise their brand strategy. This can help them improve their user engagement and conversion rates. AI tools that could be used for this include Google Analytics, Hotjar, EyeQuant. A case study where this has been done before is Google Analytics itself, which is a popular tool that provides insights into website traffic, behaviour, and outcomes.
Digital Marketing Specialist
AI can help create mockups, explore ideas, and make image assets for creative presentations. This can help them save time and effort in designing and visualising their campaigns and proposals. AI tools that could be used for this include Uizard, Canva, Jasper.ai, Midjourney. A case study where this has been done before is Canva itself, which is an AI-enhanced platform that helps users create amazing visuals for their presentations with ease.
AI can help digital marketing specialists generate new campaign ideas based on a set of parameters or criteria. This can save time and effort for digital marketing specialists who need to create multiple variations of a campaign or explore different styles and themes. AI tools that could be used for this include Open AI’s GPT4, Microsoft Bing and Office 365, Copy.ai, Writesonic, and Jarvis.ai. A case study where this has been done before is Copy.ai itself, which is an AI-powered platform that helps users generate creative copy for various purposes such as slogans, headlines, captions, and more1.
AI can help digital marketing specialists analyse the performance of their campaigns and make data-driven decisions to optimise their marketing efforts. This can help them improve their user engagement and conversion rates. AI tools that could be used for this include Google Analytics, Hotjar, and EyeQuant. A case study where this has been done before is Google Analytics itself, which is a popular tool that provides insights into website traffic, behaviour, and outcomes.
