How Much can AI Boost Your Top Line Revenue?

Number of Employees: Current Top-Line Revenue (USD): Current Level of AI Adoption: None Minimal Moderate Extensive Current Use of Data Analytics: Minimal or None Basic Reporting Advanced Analytics and Insights Predictive Analytics Number of Customers Served Annually: Less than 1,000 1,000 – 10,000 10,001 – 100,000 Over 100,000 How does your company’s AI adoption compare to your competitors? We are behind our competitors We are on par with our competitors We are ahead of our competitors Unsure Which sales and marketing channels does your company primarily use? (Select all that apply) Calculate

Sources and References

The estimates provided by this calculator are based on reputable studies and reports that analyze the impact of AI on business productivity and revenue growth.

1. Time Spent on Non-Revenue Generating Tasks

• McKinsey Global Institute: In the report “The social economy: Unlocking value and productivity through social technologies,” McKinsey highlights that employees spend up to 28% of their workweek managing emails and 20% searching for information, totaling approximately 48% of time on non-productive tasks.

2. AI’s Impact on Reducing Non-Productive Time

• Accenture: The study “AI: Built to Scale” reveals that companies effectively scaling AI can achieve up to 30-50% time savings on routine tasks through automation and AI-driven efficiencies.

• PwC: In their report “Sizing the prize: What’s the real value of AI for your business and how can you capitalise?,” PwC projects that AI could contribute up to a 14% increase in global GDP by 2030, mainly through productivity gains and automation of routine tasks.