While it may feel like artificial intelligence is having its moment, the most successful companies have been harnessing AI’s power for years. A 2020 report found that over 90% of leading businesses invest in AI on an ongoing basis.
AI delivers valuable insights across every area of your business—from finances to customer relationships—so your teams can work smarter, not harder. Here are 10 of the best AI tools to help your business maximize productivity and efficiency.
1. Gong: Automatically capture and analyze customer conversations
Gong is a revenue intelligence platform that uses AI to analyze customer interactions and deliver actionable insights for sales teams. Gong leverages natural language processing (NLP) to transcribe and review meetings, then surfaces insights on customer sentiment, buying signals, and other key details. These insights empower sales teams to close deals more effectively and proactively reduce churn.
A standout feature is Gong’s conversation analytics dashboard, which reveals patterns in sales calls—like common objections, keywords, and talk-to-listen ratios. This helps sales managers spot where reps need extra coaching or support.
Pros
- Customizable dashboards with real-time insights
- Comprehensive reporting and analytics
- Streamlines onboarding for new sales reps
Cons
- Steep learning curve
- Only supports English-language conversations
- Basic transcription lacks deeper insights
Rating: 4.7 out of 5 stars
2. Grammarly: Elevate your writing instantly
Grammarly uses a mix of AI technologies—including NLP, machine learning, and deep learning—to understand the context of your writing and offer real-time suggestions. It checks for spelling, grammar, and punctuation errors, and recommends improvements for sentence structure, tone, and style.
Grammarly also features plagiarism detection and writing style analysis, helping you create original, clear, and engaging content. It can even assess your tone and suggest changes to convey emotions like happiness, sadness, or anger.
Pros
- Wide range of features, including tone detection and word choice suggestions
- Integrates with popular writing platforms like Microsoft Word, Google Docs, and Gmail
- Easily customizable writing style, preferences, and goals
Cons
- Sometimes suggests unnecessary or incorrect changes
- Supports English only
- May slow down device or browser performance
Rating: 4.6 out of 5 stars
3. Timely: Automate time tracking for your entire team
Timely is a time-tracking and project management tool that streamlines how businesses manage time. Just start working, and Timely’s AI automatically tracks your time—no manual entry required, saving you time and reducing errors.
Timely’s AI algorithms also deliver insights into team productivity, highlighting patterns in time usage and areas where efficiency can be improved. These insights help businesses spot where additional training or technology could boost productivity.
Pros
- Customizable reports and visualizations of time data
- Time scheduling helps employees balance workloads and meet deadlines
- Integrates with tools like Asana, Trello, Basecamp, and Jira
Cons
- Can be slow to load
- Mobile app has limited features
- Steep learning curve
Rating: 4.8 out of 5 stars
4. Boast AI: Automate your R&D tax credit claims
Boast AI uses artificial intelligence to identify and categorize eligible projects, hours, and expenses for R&D tax credit claims. With natural language processing and machine learning, Boast understands the context of your R&D work and expenses—spotting eligible costs that traditional accounting might miss.
Boast’s AI technology learns and adapts to your business’s unique R&D activities and expenses over time, increasing accuracy and efficiency. The platform also tracks R&D expenses in real time, so you can monitor your eligibility for tax credits throughout the year.
Pros
- Highly accurate algorithms help you identify and claim every eligible expense
- Detailed reports and analytics for full transparency
- Access to in-house tax credit experts
Cons
- Limited international support
- Limited customization and flexibility
Rating: 4.8 out of 5 stars
5. Tableau: Visualize your data with interactive dashboards and reports
Tableau is a data visualization and business intelligence platform that integrates AI and machine learning to help you make smarter decisions from your data. You can connect, blend, and analyze data from multiple sources to create interactive visualizations, reports, and dashboards.
The platform uses natural language processing so you can ask questions about your data in plain English, and it automatically generates visualizations to answer them. Other features include Explain Data, which uses AI to highlight and explain trends and outliers, and Tableau Prep, which leverages AI to suggest and automate data cleaning tasks.
Pros
- Intuitive, user-friendly interface
- Seamless data integrations with CRMs, BI and analytics tools, ETL platforms, and more
- Large, active user community provides resources, support, and use cases
Cons
- Limited data modeling capabilities
- Collaboration features are basic
- Limited support for certain data types, like JSON or XML
Rating: 4.3 out of 5 stars
6. Drift: Generate more leads with conversational AI
Drift is a conversational marketing and sales platform that uses AI to help businesses deliver personalized customer experiences. Its chatbot uses natural language processing to engage website visitors, understand their intent, and provide relevant, helpful answers.
Drift’s AI identifies high-value leads and routes them to the right sales reps. Machine learning algorithms continuously analyze customer behavior to improve lead scoring and routing, streamlining your conversion process. The lead prioritization feature also uses AI to spotlight the most promising leads for follow-up.
Pros
- Easy-to-use platform
- Integrates with business tools like Salesforce, Google Analytics, HubSpot, and Intercom
- Highly responsive customer support
Cons
- Chatbot AI can make mistakes
- Confusing pricing structure
- Limited to basic reporting and analytics
Rating: 4.4 out of 5 stars
7. Databricks: Bring all your data and analytics together
Databricks provides a collaborative workspace for big data processing and machine learning projects, bringing data scientists, engineers, and business analysts together on a unified analytics platform. Automated machine learning lets users build and tune models without deep data science expertise.
Databricks uses AI to analyze data and deliver predictive analytics, helping you spot patterns and trends for better business decisions. The platform also leverages AI to optimize and automate data processing and workflow management, reducing the time and effort needed to build and deploy data-driven applications.
Pros
- Large, active user community sharing tips, best practices, and code snippets
- Easy to scale up or down as needed
- Integrates with popular data analysis tools like Python, R, and SQL
Cons
- Limited dashboard and visualization customization
- Limited support for real-time data processing
- Limited support for unstructured data like images and video
Rating: 4.5 out of 5 stars
8. SupportLogic: Use customer sentiment analysis and predictive insights for proactive support
SupportLogic is an AI-powered customer support platform that analyzes customer data and interactions to spot patterns and deliver actionable insights to your support team. It identifies common issues, customer sentiment, and key metrics to help you monitor and improve support operations.
The platform tracks key metrics like response times, ticket volume, and customer satisfaction scores, providing real-time insights so support teams can take action before issues escalate.
Pros
- API available for custom integrations and workflows
- Automatic ticket tagging for better prioritization
- Customizable dashboards for personalized views of support metrics
Cons
- Limited language support
- Reporting options are limited
- No mobile app
Rating: 4.6 out of 5 stars
9. Jasper: Speed up your content creation process
Jasper is an AI-powered content generation tool that uses natural language processing and machine learning to scan the web for relevant information, filter out noise, and identify authoritative sources. Based on its analysis, Jasper creates original, high-quality content—like articles, blog posts, product descriptions, social media posts, email marketing newsletters, and more.
Jasper also analyzes which content performs best in your industry—looking at trending topics, tone, and structure—so you can develop new content marketing ideas that resonate with your audience and drive engagement and conversions.
Pros
- Incorporates relevant keywords for SEO
- Keeps your tone and style consistent to strengthen your brand identity
- Offers a variety of templates and formats
Cons
- Limited use cases—doesn’t cover technical or legal writing
- Pricing may be high for startups and small businesses
- Quality depends on the accuracy and availability of its data sources
Rating: 4.7 out of 5 stars
10. Oorwin: Streamline talent sourcing, hiring, onboarding, and employee development
Oorwin offers a suite of tools for managing job postings, applicant tracking, candidate engagement, onboarding, performance management, and more. Using machine learning, Oorwin analyzes job descriptions and candidate profiles to match the best candidates to open roles. This helps recruiters and hiring managers quickly find top talent and reduce time-to-hire.
Oorwin also uses AI to analyze employee performance data and provide insights for performance management. Its analytics tools highlight top performers, areas for improvement, and trends in employee behavior, helping managers make informed decisions to boost team performance.
Pros
- Customizable workflows
- Robust reporting and analytics for recruiting and hiring metrics
- Integrates with popular tools like LinkedIn, QuickBooks, DocuSign, and RingCentral
Cons
- Mobile app has limited features
- Customer support can be slow
- May not be cost-effective for smaller businesses with limited hiring needs
Rating: 4.6 out of 5 stars
Leverage tax credits to invest in the best AI technology for your business
AI rapidly automates repetitive tasks and scales across your operations. Investing in artificial intelligence tools boosts efficiency and productivity, freeing up your employees to focus on high-value work that only people can do.
Of course, you need capital to invest in the best AI tools for your business. If your company is involved in research and development, you may be eligible for R&D tax credits—giving you more resources to invest in and implement AI technology. To learn more about how your business can benefit from an R&D tax return, check out our Ultimate Guide to R&D Tax Credits.
