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10 Best AI Tools for Business Productivity

10 Best AI Tools for Business Productivity
on May 10, 2023
10 Best AI Tools for Business Productivity

It might seem like artificial intelligence is experiencing its heyday, but the most successful businesses have leveraged the power of AI for years. A 2020 report found that over 90% of industry-leading firms invest in AI on an ongoing basis.

AI provides deep insights into all areas of your business, from finances to customer interactions, so your teams can work smarter, not harder. We take a look at 10 of the best AI tools for business productivity to maximize efficiency across your organization.

1. Gong: Automatically capture and analyze customer interactions

Gong is a revenue intelligence platform that uses AI to analyze customer interactions and provide insights for sales teams. Gong uses natural language processing (NLP) to transcribe and analyze meetings, then generate insights on customer sentiment, buying signals, and other important information. These insights help sales teams close deals more effectively and proactively prevent churn.

One of Gong’s key features is its conversation analytics dashboard which provides insights into sales call patterns, including common objections, keywords, and talk-to-listen ratios. This information can help sales managers identify areas where reps need additional coaching or training.

Pros

  • Customizable dashboards with real-time insights
  • Comprehensive reporting and analytics
  • Simplifies onboarding for new sales reps

Cons

  • Steep learning curve
  • Limited to English language conversations only
  • Basic transcription option lacks further insights

Rating: 4.7 out of 5 stars

2. Grammarly: Take your writing to the next level

Grammarly uses various AI technologies, including NLP, machine learning, and deep learning, to understand the context of written text and provide suggestions in real time. It checks for spelling mistakes, grammar errors, and punctuation issues and provides recommendations for sentence structure, tone, and style.

Grammarly also offers features like plagiarism checking and writing style analysis to help you create original content that is clear, concise, and engaging. It can even analyze the tone of the writing to make suggestions that convey different emotions, such as happiness, sadness, or anger.

Pros

  • Wide range of features includes tone detection and word choice suggestions
  • Integrates with popular writing apps like Microsoft Word, Google Docs, and Gmail
  • Easily customizable writing style, preferences, and goals

Cons

  • Occasionally unnecessary or incorrect suggestions
  • Limited to English language support only
  • May slow down performance of devices or web browsers

Rating: 4.6 out of 5 stars

3. Timely: Automate time tracking across teams

Timely is a time-tracking and project management tool that helps businesses streamline their time management processes. Users can simply start working on a task, and the platform will use AI to automatically track the time spent on it. This eliminates the need for manual time tracking, which can be time-consuming and error-prone.

Timely’s AI algorithms also provide insights into team productivity, including patterns and trends in time spent and areas where team members can improve their efficiency. These insights help businesses identify areas where they may need to invest in training or technology to enhance productivity.

Pros

  • Customizable reports and visualizations of time data
  • Time scheduling helps employees balance workloads and meet deadlines
  • Wide range of integrations, including Asana, Trello, Basecamp, and Jira

Cons

  • Slow load times
  • Limited mobile app functionality
  • Steep learning curve

Rating: 4.8 out of 5 stars

4. Boast AI: Automate the process of claiming R&D tax credits

Boast AI uses AI to identify and categorize eligible projects, time, and expenses that qualify for research and development (R&D) tax incentive claims. Natural language processing and machine learning algorithms understand the context of R&D activities and expenses, enabling Boast to identify eligible expenses that traditional accounting methods may have missed.

Boast’s AI technology learns and adapts to each business’s unique R&D activities and expenses over time, improving accuracy and efficiency. The platform also provides real-time tracking of R&D expenses, allowing you to monitor your eligibility for tax credits throughout the year. 

Pros

  • Highly accurate algorithms help identify and claim all eligible expenses
  • Detailed reports and analytics for 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: Use data visualization to create interactive dashboards and reports

Tableau is a data visualization and business intelligence platform that integrates AI and machine learning capabilities to help you make more informed decisions based on your data. It allows users to connect, blend and analyze data from various sources and create interactive visualizations, reports, and dashboards.

The platform uses natural language processing so users can ask questions about their data in plain English, then automatically generates visualizations that answer those questions. Other features include Explain Data, which uses AI to identify and explain trends and outliers in data, and Tableau Prep, which uses AI to suggest and automate data cleaning and preparation tasks.

Pros

  • Intuitive and user-friendly interface
  • Seamless data integrations with CRMs, BI and analytics tools, ETL tools, and more
  • Large, active user community provides resources, support, and use cases

Cons

  • Limited data modeling capabilities
  • Limited collaboration features
  • Limited support for specific 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 technology to help businesses create personalized customer experiences. Its chatbot uses natural language processing to start conversations with website visitors, understand their intent, and provide relevant, helpful responses.

Drift’s AI technology identifies high-value leads and routes them to the appropriate sales representatives. Machine learning algorithms constantly analyze customer behavior to improve lead scoring and routing to streamline the conversion process. Drift’s lead prioritization feature also uses AI algorithms to identify and prioritize the most promising leads for follow-up.

Pros

  • User-friendly platform
  • Integrates with popular business software like Salesforce, Google Analytics, HubSpot, and Intercom
  • Highly responsive customer support

Cons

  • Chatbot’s AI can be prone to errors
  • Confusing pricing structure
  • Limited to basic reporting and analytics

Rating: 4.4 out of 5 stars

7. Databricks: Unify all your data and analytics in one platform

Databricks offers a collaborative workspace for big data processing and machine learning projects, allowing data scientists, engineers, and business analysts to work together on a unified analytics platform. Automated machine learning capabilities enable users to automatically build and tune machine learning models without requiring deep expertise in data science.

Databricks uses AI algorithms to analyze data and provide predictive analytics capabilities. This allows you to identify patterns and trends in your data and make more informed business decisions. The platform also uses AI to optimize and automate data processing and workflow management, reducing the time and effort required to build and deploy data-driven applications.

Pros

  • Large, active community of users who share 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

  • Few customization options for dashboards and data visualizations
  • Limited support for real-time data processing
  • Limited support for unstructured data like images and videos

Rating: 4.5 out of 5 stars

8. SupportLogic: Leverage customer sentiment analysis and predictive insights for proactive support

SupportLogic is an AI-powered customer support platform that analyzes customer data and interactions to identify patterns and provide actionable insights to support teams. The platform identifies common issues, customer sentiment, and other important metrics that help support teams monitor their performance and improve their operations.

The platform tracks key metrics, such as response times, ticket volume, and customer satisfaction scores, and provides real-time insights into how to improve these metrics so support teams can act proactively.

Pros

  • API available for custom integrations and workflows
  • Automatic ticket tagging to improve ticket prioritization
  • Customizable dashboards for personalized views of support metrics

Cons

  • Limited language support
  • Limited reporting options
  • No mobile app

Rating: 4.6 out of 5 stars

9. Jasper: Accelerate the content creation process

Jasper is an AI-powered content generation tool that uses natural language processing and machine learning algorithms to scour the internet for relevant information about chosen topics, filter out irrelevant content, and identify authoritative sources. Based on its analysis, Jasper then creates original, high-quality content such as articles, blog posts, product descriptions, social media posts, email marketing newsletters, and more.

In addition, Jasper analyzes data on the content that performs well in your industry, such as trending topics, tone, and structure. This helps you come up with new ideas for content marketing campaigns that are more likely to resonate with your target audience and drive engagement and conversions.

Pros

  • Incorporates relevant keywords and phrases for search engine optimization (SEO)
  • Maintains consistent tone and style to build a strong brand identity
  • Variety of templates and formats available

Cons

  • Limited use cases do not include technical documentation or legal writing
  • Pricing can be steep for startups and small businesses
  • Quality depends on the availability and accuracy of the data sources it uses

Rating: 4.7 out of 5 stars

10. Oorwin: Streamline talent sourcing, hiring, onboarding, and employee development

Oorwin provides a suite of tools for managing job postings, applicant tracking, candidate engagement, onboarding, performance management, and more. Using machine learning algorithms, Oorwin analyzes job descriptions and candidate profiles to find the most suitable matches for job openings. This helps recruiters and hiring managers quickly identify the best candidates and reduce time-to-hire.

In addition, Oorwin uses AI to analyze employee performance data and provide insights for performance management. Its analytics tools identify top performers, areas for improvement, and trends in employee behavior that help managers make data-driven decisions to improve their team’s performance.

Pros

  • Customizable workflows
  • Robust reporting and analytics for recruiting and hiring metrics
  • Integrates with popular tools like LinkedIn, QuickBooks, DocuSign, and RingCentral

Cons

  • Limited mobile app functionality
  • Slow customer support
  • May not be cost-effective for smaller businesses with limited recruiting needs

Rating: 4.6 out of 5 stars

Leverage tax credits to invest in the best AI technology for your business

AI automates repetitive tasks rapidly and scales quickly across your business operations. Investing in artificial intelligence tools improves efficiency and productivity and enables your human employees to focus on high-value work that technology can’t do.

But of course, you need money to invest in the best AI tools for business. If your company is involved in research and development, you can file for R&D tax credits that will give you more funds 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.

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