17 AI tools for every role at the company
AI is now deeply embedded in modern workplaces—according to a recent DeskTime study, 76% of offices worldwide now use ChatGPT, and its user base nearly doubled in 2024.
In the early days, it was all about exploring ChatGPT and discovering the many ways generative AI could be applied. As other large language models (LLMs) emerged, the focus shifted to comparing their quality, features, and personal preferences. Now, the conversation is evolving again—toward understanding the full spectrum of AI tools and how they can bring value across different roles in the organization.
This article goes beyond general AI chatbots to explore a diverse range of AI-powered tools built to support specific job functions. All of the tools we’ve selected offer free plans, so you can experiment and discover what works best for you and your team. From project managers and analysts to marketers and designers—let’s dive in.
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- AI tools for project management roles
- AI tools for marketing roles
- AI tools for technical roles
- AI tools for design and audiovisual roles
- 17. There’s an AI for that
AI tools for project management roles
1. Manus
Manus is like an intelligent agent that can help you create projects and complete tasks. This AI workflow assistant organizes and summarizes communication across tools like Slack, Notion, and Google Docs, helping to surface insights without digging through endless message threads. It keeps track of tasks, decisions, and follow-ups, acting as a memory layer for fast-moving teams.
Best for: Project managers
Why: Automatically tracks tasks, meeting notes, and decisions across collaboration tools to keep projects aligned.
2. Pitch
Pitch is a flexible presentation platform that combines stylish design templates, real-time collaboration, and AI-powered content assistance to help teams create impactful decks faster. It allows users to co-edit slides, pull in live data, and maintain brand consistency with reusable components.
Best for: Sales and business development teams
Why: Helps create polished, data-driven presentations quickly for pitches, proposals, and internal strategy meetings—with full team input.
3. Napkin
Napkin is a lightweight AI ideation tool that helps users jot down, explore, and expand on ideas in a conversational format. It’s designed for early-stage brainstorming and rapid thinking without the need for structure. Napkin creates beautiful schemes in seconds—all you have to do is copy the result in your document or presentation.
Best for: Founders / Innovation leads
Why: Acts as a digital whiteboard for capturing and refining ideas, making it easier to move from concept to clarity.
4. Perplexity
Perplexity is an AI-powered research assistant that combines the depth of a search engine with the clarity of a smart summarizer. It provides concise, cited answers to complex questions—ideal for market research, competitor analysis, or staying current on industry trends.
Best for: Strategy leads / Analysts
Why: Speeds up research by delivering sourced, reliable summaries for complex business or market questions.
5. Compose AI
Compose AI is a writing assistant that helps professionals write faster and more effectively across emails, documents, and chats. It offers smart autocompletion, rephrasing suggestions, and tone adjustments directly within your browser. This AI tool helps to save time on daily communications, improving clarity, and maintaining a consistent, professional voice across internal and external messages.
Best for: Executives / Customer support leads
Why: Enhances writing speed and tone consistency across emails, reports, or client messages.
AI tools for marketing roles
6. Hunch
Hunch is a decision intelligence platform designed to help growth and marketing teams optimize their campaigns. It connects to business tools (like Jira, Notion, and Slack) and uses AI to summarize inputs, recommend actions, and track decisions, acting as a thought partner during planning and review processes.
Best for: Marketing managers
Why: Helps optimize campaigns by turning performance data into automated, personalized ad strategies.
7. Genspark
Genspark is a content generation assistant that helps teams produce blog posts, social media content, and marketing copy in minutes. It offers structured templates, topic suggestions, and AI-powered drafts aligned with your brand tone.
Best for: Content marketers
Why: Speeds up the content creation pipeline while maintaining consistency and reducing dependency on external writers.
8. Blaze
Blaze is a campaign automation tool that generates ad creatives, email sequences, and landing page copy tailored to your audience and platform. It integrates seamlessly with marketing tools and lets users publish directly.
Best for: Performance marketers
Why: Enables faster experimentation with creative and messaging, helping teams test and iterate campaigns at scale.
9. Gamma
Gamma helps to create professional and visually appealing presentations, documents, and mini-sites. You can quickly generate content from a simple prompt or uploaded material, significantly reducing time spent on design and formatting. Gamma.app supports real-time collaboration, offers various export options including PowerPoint and PDF, and provides analytics to track engagement.
Best for: Innovation leads / Marketing or strategy managers
Why: Cuts presentation prep time dramatically and helps to convey ideas in a beautiful and captivating way.
AI tools for technical roles
10. Lovable
Lovable is an AI-powered app and website builder that lets you create full-stack applications by simply describing what you want in plain English. It generates working front-ends, back-ends, databases, and deployment pipelines—and the code is editable and exportable to GitHub.
Lovable can help developers rapidly prototype ideas, generate scaffolding for full-stack applications, and explore UI/UX flows using natural language prompts. It’s especially useful for solo developers or lean teams who want to skip boilerplate setup, and test concepts quickly.
Best for: Junior developers / DevOps or platform engineers / Technical product managers
Why: Perfect for validating ideas and iterating quickly with cross‑functional teams.
11. Cursor
Cursor is an AI-powered coding assistant built into a developer-friendly environment, combining a code editor with intelligent suggestions, bug fixes, and documentation support. It helps engineers write, understand, and debug code faster with natural language prompts.
Best for: Software engineers / Engineering leads
Why: Speeds up development workflows by handling repetitive coding tasks, troubleshooting bugs, and navigating large codebases with ease.
12. JetBrains AI
JetBrains AI is an integrated AI assistant built into JetBrains IDEs, enhancing developer productivity with features like code completion, smart suggestions, documentation lookup, and natural language-to-code generation. It’s powered by models like OpenAI and custom LLMs, and works natively within the IDE to assist with debugging, refactoring, and exploring unfamiliar codebases.
Best for: Software engineers / Tech leads
Why: Helps streamline development workflows, saving time on documentation searches, improving code quality, and reducing friction during complex problem solving.
AI tools for design and audiovisual roles
13. Flux1.ai
Flux1 is an advanced AI image generator for text-to-image and image-to-image generation. You can describe what your image should look like or upload a sample image and ask the model to tweak it. It’s free to generate five images per day.
Flux1 is a dream app for amateur image editors as well—you can generate headshots, change haircuts or other details, remove text or watermark from an image, cartoonify or add countless filters to an image. If you decide to try this app, just make sure you don’t get carried away and spend all day on it.
Best for: Creative directors / Visual content teams
Why: Generates professional-grade renderings and campaign visuals quickly with control over style, color, and layout.
14. Runway
Runway is a creative AI platform that enables users to generate and edit videos, images, and animations using natural language prompts. It’s designed to streamline visual production for content, marketing, and product teams.
Mind that Runway is not a conversational or command-based model like the usual AI chatbots. Instead, describe what you want the picture to depict, for example, “a cat with green eyes facing the camera”.
Best for: Creative directors / Content marketing teams
Why: Accelerates the creation of professional-quality multimedia assets without needing a full video production team—ideal for campaign launches and brand storytelling.
15. Recraft
Recraft is a generative design platform that creates vector illustrations, icons, patterns, and 3D graphics in a fully editable format. It’s especially useful for teams needing consistent, brand-aligned visuals across digital products.
Best for: UI/UX Designers / Design systems leads
Why: Speeds up visual asset production while ensuring scalability and brand consistency, with outputs ready for Figma or direct export.
16. LALAL.AI
LALAL.AI lets you extract vocals, instruments, drums, and other elements from any audio or video file with high precision. It’s useful for remixing, voice isolation, or enhancing audio clarity in media projects.
Best for: Audio engineers / Video editors / Podcast creators
Why: Simplifies the process of editing or repurposing audio by giving control over individual sound elements—perfect for podcasts, voiceovers, or training content.
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17. There’s (always) an AI for that
If you’re looking for more specific AI tools, checking out There’s an AI for that is the best send-off we can give you. This is a comprehensive online directory and discovery platform listing over 15,000 AI tools across thousands of tasks and job categories. It’s regularly updated and serves as a go‑to resource for finding AI solutions tailored to specific business needs. It helps teams quickly identify tools for marketing, design, coding, operations, HR, and more.
Don’t just use AI—measure it
It may seem overwhelming to try all the AI tools in your industry. Our advice is to experiment with one new tool for 15 minutes every day—that’s enough time to understand which applications you find most useful and convenient.
As you start integrating AI tools into your daily work, it’s just as important to track the impact they have on your productivity. Without measuring the before-and-after, it’s easy to miss which tools are actually saving time and which might just be adding noise.
That’s where productivity tracking tools—like DeskTime—come in. By monitoring how time is spent across tools and tasks, you can make smarter decisions about which AI solutions genuinely boost your team’s efficiency and which ones may need fine-tuning or replacing.
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