The implementation of artificial intelligence (AI) for companies striving to enhance productivity has become essential. This shift isn’t merely about adopting new technologies but about fundamentally rethinking and transforming business processes and workforce capabilities across the board.
By leveraging AI, organizations can ensure their processes are streamlined, their employees are more efficient, and ultimately, their business outcomes are improved.
Revamping Company Perception Through AI
It’s crucial for companies to demonstrate efficient processes driven by innovative technological solutions. But before any of that can be done, companies have to take stock of their traditional operations and analyze their data—what works, and what doesn’t. First, analyze what your teams need help with and then research and implement the right AI tools to help—not hinder—daily workflows and operations.
For example, for onboarding and training teams, it’s important to analyze how many hours are spent on repetitive human-assisted onboarding processes. Using platforms, such as Synthesia, which generates AI-driven training videos, companies can save hundreds of hours per year by reducing the need for companies to manage onboarding processes manually.
The Concept of the 10x Employee
Historically, the notion of a “10x employee” referred to individuals who could perform exceptionally well across various domains. These employees were considered unicorns, hard to find, and essential for high-value positions. However, this concept became increasingly negative, implying that such skills were innate and unattainable for most.
Recently, with AI becoming more mainstream, this perspective was changed. Now, the responsibility shifts from individuals to organizations in creating a productivity mindset, by providing the tools that enable employees to become 10x contributors without necessarily possessing all the required skills from the outset.
Measuring the Right Metrics
To truly leverage AI, companies must measure the correct performance metrics. Traditional effort-based metrics, such as the number of check calls in logistics, often fail to capture the true quality and effectiveness of the work.
By focusing on quality metrics and outcomes, companies can identify where AI can make the most significant impact. For example, using performance data tools, such as Isometric Technologies, helps measure the right processes, ensuring that AI applications lead to genuine improvements rather than just increased throughput.
Democratizing AI: From Luxury to Necessity
AI has existed for a long time, but it wasn’t until recently that it became accessible enough to be integrated into everyday business processes. Tools such as chatbots, AI-driven writing assistants, and automated code reviewers are now within reach for many organizations. For example, Grammarly can significantly enhance email quality, ensuring that language barriers are no longer a hindrance in a bilingual workplace.
Similarly, the Fireflies AI tool for call transcription and GitHub Copilot for coding assistance have been shown to increase productivity by 20-30%, as they handle tasks that previously required additional human resources. This allows employees to focus on deep work by having additional time to focus on more strategic initiatives, instead of manual and repetitive work, such as note taking.
Embedding AI in Daily Workflows
The key to effective AI implementation is integration. It should feel like a natural part of the daily workflow, not an additional task. For instance, AI tools should integrate with core applications such as email clients, CRMs, and ERPs, enhancing their functionality rather than complicating them. This integration enables smoother operations and allows employees to focus on higher-value tasks and meeting long-term business goals.
Consistent Benchmark Evaluation
After implementing the right AI tools for specific departments, companies need to regularly benchmark AI results against industry metrics. This helps companies gain valuable insights, identify areas for improvement, as well as help companies stay competitive in their respective industries.
The implementation of AI in business processes is no longer a luxury but a necessity. Companies must move beyond the traditional view of AI as an optional add-on and integrate it deeply into their strategic planning and daily operations. This approach not only enhances productivity but also transforms the overall business environment, making it more responsive, efficient, and competitive.
AI’s role in boosting productivity within companies is multifaceted, encompassing improved workflow integration, enhanced training and onboarding processes, and better performance measurement and reporting. By embracing AI, companies can ensure they remain at the forefront of technological innovation while creating a competitive advantage in the market.