20 AI SaaS Tools To Run A Productive Business in 2025
Artificial Intelligence
Nov 3, 2023
Artificial Intelligence is stirring the next revolution in SaaS. According to the Future of SaaS survey, 53% of SaaS leaders plan to use AI as a major part of their business in 2023.
Let’s explore some of the best AI tools to help you stay ahead of the curve.
Why use AI software?
Imagine being a pilot, and flying a plane without a copilot. You may be able to do it successfully, but it’s much easier with a trusted sidekick. Just like a copilot will assist you while navigating, AI tools are a great ally if you work in SaaS (software as a service).
There are many reasons why AI has become so popular in the software industry.
Cost savings and automation. You can automate repetitive tasks and reduce operational costs drastically. What used to take hours of manual work, you can now finish within minutes. If you run a startup, these tools can be a lifesaver for your budget, from marketing campaigns to sales. Sales prospecting tools in particular, when designed with AI elements can save tons of resources; something every startup needs.
More efficiency. Free up time from valuable resources, so they can focus on strategic initiatives. You’ll grow quicker with the same amount of resources and you can reduce churn at the same time.
Better customer experience. AI-powered tools can tailor recommendations, offer personalized experiences, and provide proactive customer support - for example, using chatbots and conversational AI instead of 24/7 support. Your customers will thank you! When choosing these tools, a common question arises: Freshdesk vs Zendesk. Both are popular options, but selecting the right one depends on your specific needs.
Scalability. Growing your product from 1,000 to 10,000 users is much more scalable with the help of generative AI. AI can easily handle more data volumes.
Competitive advantage. With more knowledge of customer behavior and market trends at your fingertips, your business can gain a competitive edge. builders who inject AI capabilities into your SaaS product will improve their user experience. It will set them ahead of competitors. Moreover, LegalOn, for example, utilizes AI to streamline the contract review process for SaaS businesses — it quickly analyzes contracts to identify potential risks and clauses requiring attention.
With lower costs and higher returns, SaaS businesses can operate more efficiently. They will grow faster, and deliver more value to customers with machine learning algorithms. SaaS employees feel happier and more productive because they get more impactful work done in less time.
The risks of using machine learning and AI tools
Besides the many benefits, it’s good to also consider the risks when using AI tools.
Privacy and ethics. AI systems often process large amounts of personal data. If that data is not properly collected, stored, and used, it might be vulnerable to cybersecurity breaches. For example, exposing your e-commerce or healthcare platform to AI could leak very sensitive customer data. Aside from privacy concerns, an AI model may be biased and suggest decisions of questionable ethics. Make sure to always comply with the regulations in place when using AI in your workflows.
Misinformation. Whether intentionally or by accident, AI can lead to misinformation at a mass scale. There is a lot of incorrect, misleading, or fake information out there that language models may not capture as false information. Or think of deepfake technology that can deceive people, or manipulate public opinion.
Algorithmic bias. AI algorithms learn from historical data. And if that data contains bias, we risk amplifying biased information or social inequalities at large. Whenever you’re using or building AI, make sure you rigorously test, evaluate, and monitor the output to avoid bias.
Identification of generated content: As AI detectors improve, they may increasingly identify AI-generated content accurately, even when it closely resembles human writing. This can raise compliance concerns in fields that require strictly human-authored material. Additionally, these detectors sometimes produce false positives, where genuine human-written content is flagged as AI-generated. Regular updates to detection algorithms and employing multiple verification layers can help mitigate these issues.
Top AI tools for SaaS businesses
New AI-powered tools are spreading like wildfire in the SaaS industry. Just Google “AI software tools” and you could easily spend an entire afternoon browsing the latest innovations and AI-based SaaS solutions. Whether you are starting a podcast or a traditional brick and mortar business, there are AI tools for you.
Below, we’ve assembled a list of popular and lesser-known AI tools that can bring value to SaaS businesses.
AI SaaS visualization tools
Data scientists and analysts have started using ChatGPT for data visualization use cases. But looking beyond ChatGPT and its natural language processing (NLP) model, there are various AI tools in the SaaS market that focus specifically on data visualization.
Chartify: Generate charts on top of any data source or API
Storydoc: Create interactive business presentations and reports with the help of AI
Luzmo: Create and embed dashboards for any software application with an AI dashboard builder and empower your customers with better decision-making
Softr AI App Generator: Create full stack business apps with just a single prompt. From intranets and client portals to internal tools, watch your ideas transform into fully functional web applications.
Generative BI: Ask a question, and generate a dashboard in return
Tableau: Traditional BI with AI-powered predictive analytics for various datasets and forecasting
Speak: Visualize language data and create word clouds using AI
HubSpot: Let the platform’s generative AI to create easy-to-digest graphs and charts using your CRM and marketing data
AI analytics SaaS companies
Besides data visualization, you can use AI for all sorts of analytics processes. Whether it’s text analysis, forecasting or data science.
Akkio: For more accurate, AI-powered forecasting and optimization
For SaaS builders, it’s crucial to thoroughly test your code before deploying. But it can be a time-consuming process. AI test automation tools are making this process faster and easier.
A product manager would rather be found dead than be called a project manager. Nevertheless, they often have to spend a lot of time on tedious project management tasks. New AI project management tools help them automate the boring stuff. And that means more time to focus on innovation in product management.
ClickUp: Includes AI features to summarizes meeting notes, update projects, and create action points from docs
Ship SaaS products faster with AI-powered technology
With the help of AI solutions, SaaS teams can save time on manual work and focus on more complex stuff. And although efficiency is already a big win, the innovation opportunities are even bigger.
AI technology is taking product innovation in a new direction. SaaS builders who introduce AI models into their technology stack today will lead the pack tomorrow. AI can either help you solve your customer’s problem faster, or solve it in a better way. And whichever of the two, it will guarantee a better experience.
If you're interested in experimenting with AI for your analytics features, check out Luzmo's AI dashboard builder tutorial. Get data insights in real-time! Start your free trial today to start fiddling around with it!
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