Recently, more than 55% of businesses reported using AI in at least one function, according to McKinsey’s State of AI report. And for tech teams, the number is only growing.
But there are so many options out there. Choosing the best AI tools for business can feel overwhelming, especially when many articles throw a long list at you with no clear direction.
That is why we are doing it differently.
In this guide, we will break down the best AI tools for business available today by tech role. From developers and designers to PMs and QA, this is about real tools for real workflows.
Whether you are getting started or looking to optimize your day-to-day, this will help you find what actually fits.
Best Tools for Software Developers to Code Smarter
Writing code is no longer about typing fast or memorizing syntax. AI-powered tools can help you save hours on repetitive tasks, documentation, and learning new frameworks. Debugging a tricky issue or exploring a new codebase? These tools fit right into your workflow:GitHub Copilot
GitHub Copilot is like a smart coding buddy inside your IDE. Built in partnership with OpenAI, it suggests code snippets, functions, and even full blocks of logic based on what you are working on.
It understands the context of your current file and other related files in the project, so its suggestions are relevant.
Key benefits:
- Speeds up prototyping by auto-completing boilerplate and logic.
- Helps reduce bugs and syntax errors with smart suggestions.
- Works across languages and frameworks you may not be familiar with.
- Integrates with popular IDEs like VS Code, JetBrains, and Neovim.
Windsurf Editor
Windsurf Editor (previously called Codeium) is a fast alternative to Copilot. It uses LLMs to provide smart code suggestions, supporting over 70 programming languages.
Why developers love it:
- It’s free to use for individuals.
- Easy to install as an extension in most major IDEs.
- Great for autocomplete and refactoring tasks.
Windsurf also includes a chat feature where you can ask technical questions or request refactors directly in your editor.
ChatGPT (Pro with Code Interpreter or via API)
With ChatGPT’s pro version, you can use the Code Interpreter (also known as Advanced Data Analysis) to run code, test logic, and analyze data. You can also connect via API to build custom coding assistants or debugging tools.
How developers use ChatGPT:
- To understand legacy codebases.
- To create quick prototypes or code snippets.
- To debug issues by explaining error messages and suggesting fixes.
It’s especially helpful when paired with your IDE or terminal in multi-step workflows.
AI Tools for Product Managers
Product managers have a lot on their plate. Between roadmaps, user feedback, task prioritization, and team updates, it’s easy to get buried in busywork.
The best AI tools for businesses help PMs focus on what matters: aligning teams, building the right product, and keeping work on track.
Notion AI
Notion is already a favorite for documentation and planning, but Notion AI makes it even more useful. With built-in features, you can summarize meeting notes, create action items, or draft product specs.
How PMs use it:
- Turn messy meeting notes into clear summaries.
- Generate to-do lists and timelines based on context.
- Maintain product wikis with faster editing.
Note that Notion AI is a paid add-on.
Stepsize AI
Stepsize AI is purpose-built for product and engineering teams. It connects with tools like Jira, GitHub, and Linear to generate insights and automate status reports.
Key features:
- AI-generated weekly updates based on your real workflow.
- Better visibility into engineering efforts and blockers.
- Easy summaries of work without requiring extra input from the team.
PMs love Stepsize because it reduces the need for chasing updates while still keeping stakeholders in the loop.
Claude
Claude is one of the newest large language models making a splash among product managers. It’s really helpful for writing status updates, compiling user stories, and organizing feedback.
Smart uses of Claude:
- Summarize complex feedback into product insights.
- Generate first drafts of product specs or user stories.
- Ask follow-up questions to refine requirements.
Claude offers longer memory than some other models, making it a great tool for handling multi-step product planning tasks.
Best AI Testing Tools for QA Engineers
AI testing tools are redefining how QA engineers build and run tests. Instead of writing and maintaining lots of test scripts, engineers can now use AI to create test cases, find bugs sooner, and better simulate real-world user flows.
Here are three of the most effective tools QA teams are using today:
Mabl
One of the best AI tools for business is Mabl. QA teams are using this tool to create and run low-code, end-to-end tests across web apps and APIs. It’s especially useful for teams that want to scale testing without writing tons of scripts.
Engineers also use it to share test results with devs and PMs, helping teams spot bugs faster.
Key features:
- Low-code UI test automation.
- Auto-healing tests that adapt to changes.
- API testing and visual regression testing.
- Built-in performance insights.
- Seamless CI/CD integration.
Testim
Testim helps QA teams quickly build stable tests using AI. Testers can use it to run automated UI and debug failing steps faster. It’s also great for collaborating with devs thanks to its integrations with tools like Jira and GitHub.
Key features:
- AI-powered test creation and maintenance.
- Smart locators that prevent brittle tests.
- Support for end-to-end and mobile testing.
- Visual editor with version control.
- Integration with CI/CD pipelines.
Gemini
QA engineers use Google Gemini to write and improve test cases, simulate edge scenarios, and turn plain language into test scripts. It’s also becoming a go-to for writing or reviewing test plans and debugging issues step by step with AI help.
Key features:
- Natural language to code/test case conversion.
- Edge-case scenario generation.
- Integrates with code editors and documentation tools.
UI/UX Designers: Ideate, Iterate, and Impress
Designers are using AI to generate visual concepts, speed up layout tasks, and get feedback insights at scale.
These tools help teams quickly go from idea to prototype by turning sketches into wireframes and even writing UX copy.
Below are some of the best ones for design workflows today:
Uizard
Uizard uses AI to turn sketches, screenshots, or even text prompts into editable wireframes and prototypes.
Key features:
- Converts sketches and images into digital designs.
- Built-in UI components for quick drag-and-drop.
- Text-to-design functionality for faster ideation.
It’s loved for the way it speeds up the wireframing process and helps teams brainstorm layout proposals.
Kroma
Kroma offers AI-powered presentation and design templates so you can pitch ideas with visual impact.
Key features:
- Pre-built templates that adapt to your content.
- Smart design suggestions to polish layouts.
- AI-curated assets to boost presentation quality.
UI/UX designers like Kroma because it’s perfect for making client-ready mockups that look great with minimal effort.
Figma with AI plugins
Figma has several AI-fueled features and plugins to automate and enhance UI design, including the fan favorite Auto Layout.
Key features:
- Auto Layout that adjusts spacing and alignment.
- Plugins like Genius and Magician suggest copy and generate layouts.
- Easy integration with existing design workflows.
Designers love these plugins because they reduce repetitive work and keep design responsive.
You might also like: The Roles You Need to Build a Strong Software Development Team
Inside Techunting: The Best AI Tools for Business We Use Daily
At Techunting, we use AI tools to build smarter, faster, and more collaboratively across teams and partners.
These are two of the ones we rely on the most (and which weren’t covered above):
| Krips AI | Midjourney |
| This is our go-to for smoother remote collaboration. It removes background noise during meetings, improves clarity, and helps our teams stay present. | Our designers working with our partners use it to bring ideas to life. It helps visualize concepts and experiment with creative directions during early project stages. |
You and Your Team Working More Efficiently With the Help of Good AI
The key to using AI tools is not about following trends but finding the right ones that fit your team’s real workflows and challenges.
When your real workflow can be aligned with AI, it does more than automate. It unlocks space for deeper thinking, better collaboration, and more meaningful progress.
At Techunting, we believe innovation grows where human potential and the right technology meet. If you’re looking to grow your team with top tech talent or want to join a place that values curiosity and forward thinking, we’re here to help you build what’s next. Let’s talk.
