Transforming Productivity: Key Tasks AI Can Automate for Businesses
What specific tasks can AI automate?
Generative AI has not just changed all professions, it’s also transforming our perception of how to work. Many repetitive parts of the production process that are automatable are now easier to do because of AI models.
All of this gives us the opportunity of discovering the essence of what being human means and the true gist of work.
A beautiful and new existence is ahead of us, where we focus on what makes us distinctive as a species, on our curiosity, consciousness, dreams, emotional intelligence and vision, while the algorithms we create assist us in producing and executing our own vision. (If you want to delve into this vision, make sure to read our previous paper “Let’s make the future depend on us, let’s be aware of AI”)
This article explores how artificial intelligence (AI) can improve business productivity, addressing shared challenges and proposing effective solutions. Main items described below:
Productivity challenges:
- Lack of employee engagement.
- Frequent interruptions due to tools and apps shifts.
- Low-impact tasks consume valuable time.
Strategies to increase productivity:
- Encourage increased employee engagement.
- Implement AI to automate repetitive tasks.
- Enhance tools and workflows through collaboration platforms with AI embedded in their applications (e.g., AI Companion in Zoom, or Copilot in MS Teams).
Wrong perception of productivity:
- Despite feeling productive, many employees work more than 8 hours a day, spending a lot of time composing emails, chat messages, editing tutorial videos or drafting meeting minutes.
- Importance of work-life balance: In addition to the above, promoting a healthy work and personal life balance is of the essence. A balanced work environment not only improves productivity, but employees’ satisfaction and well-being.
Understanding current trends is key to be at the forefront of process optimization since business automation is continuously evolving.
We are now going to analyze 3 significant business automation trends for the upcoming 12 months, which set the B2B task automation standards, particularly focused on artificial intelligence.
- Predictive Analytics for decision-making: Predictive analytics are a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques and machine learning.
- Use of Chatbots and Virtual Assistants: Implementation of these technologies not only optimizes workflow, but it may also improve employees’ satisfaction and well-being by reducing repetitive workload and providing ongoing, accessible support.
- Conversation analysis: Identification of conversational patterns. Conversation analysis not only helps to better understand how we communicate but can also improve communication efficiency and effectiveness in different contexts. Conversation structure, recurring patterns and themes, empirical data and practical applications.
Artificial intelligence (AI) implementation in a company can be divided into several stages:
- Assessment: Evaluate your business needs and objectives to determine how AI can help you achieve them.
- Planning: Create a detailed plan including required resources, estimated implementation time, and key performance indicators.
- Process Automation: AI facilitates the automation of repetitive and low-complexity tasks, reducing execution timelines and increasing efficiency. Furthermore, it enables complex processes automation, thus reducing errors and increasing accuracy.
- Collaboration Tools: To improve your team’s collaboration and communication, consider collaboration tools like those offered by Cirion Technologies, which are part of AI.
Remember that each company is unique, therefore customizing AI implementation to your specific needs is key.
Author:
Lic. Fernando Riedel
Voice and Collaboration Specialist
Cirion Technologies
