The power of AI: Revolutionizing work with digital employees

Digital employees automate repetitive tasks, increase efficiency, and save time for strategic work. They use natural language and analytics to answer questions and can automate up to 90% of tasks. At Freeday, we want to transform the future of work together!

Harnessing AI to revolutionize productivity

Let me take you on a journey into the world of AI-powered innovation. I’m Mark, Head of Product at Freeday, and I’m not just passionate about tech – I’m passionate about how technology can solve the most complex problems we face. As a father of two and a tech enthusiast, I’ve seen firsthand how much time can be wasted on repetitive and mundane tasks that could easily be automated. Whether you’re working on a factory floor, in an office, or doing research with advanced degrees, chances are you’ve faced the frustration of spending 20-30% of your time on tasks that slow you down.

In today’s fast-paced world, efficiency is everything. Companies are now more focused than ever on streamlining operations and freeing up valuable time for strategic work. That’s where AI-powered digital employees come in – a game-changing solution that’s revolutionizing productivity across industries.

The birth of digital employees

The concept of digital employees is rooted in a vision brought to life by Marcus, one of Freeday’s founders and CEO. He imagined a world where we could create a drop-in replacement for the repetitive tasks of human employees. By building automation that mimics how humans work, we can start small, improve iteratively, and make the most of existing tools and processes.

To develop a fully functioning digital employee, we need to focus on three core elements:

  1. Natural language communication
  2. Cognition and skills
  3. Integration with the digital world

The evolution of conversations in the age of AI

Communication has transformed drastically over the years. We’re connecting with more people, at a faster pace, and virtually more often. But now, the next evolution is here – we’re not just communicating with each other, but with computers too, thanks to AI.

While chatbots have been around for a while, how they function is rapidly evolving. To deliver conversations that genuinely add value, we need three key ingredients:

  • The ability to answer questions with the help of a knowledge base
  • Escalation to a human agent when necessary
  • The capability to perform actions based on user input

Analytics also plays a huge role here, helping us continuously improve the way digital employees handle conversations.

Answering questions with AI

The first step in crafting a valuable conversation is answering questions accurately. With AI, we can interpret inquiries, search knowledge bases, and either provide direct answers or ask relevant follow-up questions. If your knowledge base is accurate and up-to-date, this process can handle 40-50% of customer service traffic on its own.

"By leveraging AI, we can interpret questions, search knowledge bases, and formulate answers or ask follow-up questions."

Analytics and escalation

Analytics is crucial because it helps identify gaps in the knowledge base, making it easier to generate new articles or materials when needed. When AI can’t give a satisfactory answer, it’s vital to escalate the conversation to a human agent. Routing conversations through AI gives us valuable insights into both AI and human interactions, allowing us to take the next steps in optimizing automation.

Action fulfillment: the exciting frontier

Now, this is where things get exciting. Action fulfillment is about giving digital employees the power to take action in the backend – like placing orders, updating personal details, or managing data. With this capability, we can automate up to 90% of tasks. While each customer’s needs might be different, a flexible approach makes this kind of automation possible.

Creating an engaging and smooth conversation requires a multi-modal approach. The communication channel, visual elements, and target audience all matter when designing interactions. By harnessing the power of Large Language Models (LLMs), we can make conversations more dynamic, allowing for context switching, personalization, and adjusting tone of voice to fit the situation.

"Our digital employees can automate up to 90% of tasks, freeing up valuable time for strategic work."

At Freeday, we like to adopt a "show, don’t tell" mentality. We’re open about what we can do and eager to demonstrate it. If you’re curious about how AI can transform your business, I invite you to dive deeper by exploring our blogs or reaching out to us directly.

Together, let’s revolutionize the way we work and unlock the true potential of AI in the workplace.

Share article

Linkedin logo buttonWhatsapp logo button

Related insights

Go to Resources

Arrow
AI vs. RPA: Their differences and choosing the right ally
Tech insights
AI vs. RPA: Their differences and choosing the right ally
Discover the key differences between Artificial Intelligence (AI) and Robotic Process Automation (RPA). While both technologies transform business processes, they serve distinct purposes. Learn how AI goes beyond automation to adapt and innovate, while RPA excels in rule-based tasks. Which solution fits your organization best?
Security risks of AI systems and management strategies
Tech insights
Security risks of AI systems and management strategies
Artificial intelligence (AI) offers numerous benefits for businesses and organizations, ranging from improving efficiency to enabling advanced analytics.
Novum: Speed up KYC processes with Johan
Use cases
Novum: Speed up KYC processes with Johan
Johan is the digital KYC assistant of Novum. He automates the process of extracting data from documents, reducing the risk of errors and