Changing the way people work with Gen AI Business Chat, connected to internal data

An Undeniable Opportunity

64% of employees do not have enough time or energy to do their job.*
86% of people turn to AI to find the right information.*

Generative AI in the service of internal employee’s productivity and efficiency.

In today’s business world, the need for increased productivity and efficiency never stops. Picture a workplace where each employee can use a sophisticated AI, similar to ChatGPT, but tailored to work perfectly with your company’s own documents and databases.

In this case, Generative AI acts as a virtual collaborator, always on hand to assist your team. It’s like having an intelligent assistant that understands your company’s language, processes, and information ecosystem. This AI can sift through vast amounts of data, summarize key documents, draft emails, and even generate reports, all in a fraction of the time it would take a human. It’s not just about doing things faster; it’s about doing them smarter. By offloading repetitive and time-consuming tasks to AI, employees can focus on more creative and strategic aspects of their work, thus enhancing overall productivity.

Moreover, this technology is not a one-size-fits-all solution; it’s highly adaptable to the specific needs of your business. Whether you’re in finance, healthcare, or any other sector, Generative AI can be tailored to understand the nuances of your industry. It learns from interactions and evolves over time, becoming more efficient and more aligned with your business objectives.

The potential impact on employee efficiency is substantial. With instant access to information and the ability to quickly generate content, employees can make faster, more informed decisions. This leads to a more agile and responsive business environment, where innovation is not hindered by information overload or bureaucratic processes.

 

Overchoice: The Adoption Dilemma

The Challenge of Excessive Options Leading to Low Adoption Rates

The introduction of Generative AI into the workplace, while revolutionary, also brings a significant challenge: the temptation to dive into an ocean of possible applications, leading to a diffusion of focus and a potential decline in adoption rates.

This pitfall is particularly pronounced in environments where technology adoption is often driven by novelty rather than necessity. With an array of functions at their fingertips, employees might find themselves lost in a maze of options, unsure of how to effectively integrate this powerful tool into their daily workflows.

This paradox of choice can result in underutilization of the technology, as users grapple with where to begin or how to best apply it to their specific needs.

To address this challenge, it’s crucial for businesses to adopt a strategic approach to implementing Generative AI. This means identifying and prioritizing use-cases that offer the most value to the organization and its employees. By narrowing the focus to a few key areas where the AI can have a significant impact, businesses can streamline the adoption process and ensure a smoother integration into existing workflows.


Playground’s Vision: Focusing high value use-cases

At Elqano, our journey with Generative AI technologies led us to a pivotal realization: the most impactful applications often lie in addressing fundamental, everyday challenges.

Information Search

Revolutionazing Data Accessibility

In the vast sea of digital information, companies today face the daunting challenge of effectively retrieving relevant data. This critical need for precise and efficient information retrieval directly impacts business efficiency, decision-making, and the capacity for innovation.

Building with those realizations, we made a focus on how employees interact with and utilize data, combining the efficiency of a sophisticated search tool with the interactivity of a chat interface.

Powered by Generative AI, we designed the tool to allows users to not only swiftly access information from extensive corporate document bases, but also engage in a conversational manner to structure, analyze, and challenge the retrieved data. Users can ask questions in natural language, as if talking to a colleague, making the process intuitive and user-friendly. This approach not only simplifies data retrieval but also adapts to the unique information landscape of each business.

Searching for internal working methodology

Searching for a specific document

Search a key Information in existing databases

Ramp-up knowledge on any topic/industry

Competitive intelligence gathering

Intelligent daily task Assistance

Enhancing overall productivity

In the contemporary workplace, an alarming 64% of employees face a critical challenge: they simply do not have enough time or energy to perform their job duties effectively. This statistic reflects a broader issue in the modern work environment. Many factors contribute to this situation, including high workloads, tight deadlines, and the pressure to multitask across various projects.

The integration of the most capable AI models, such as GPT 3.5 Turbo, GPT 4.0, and Llama 2, into a platform like MS Teams represents a significant advancement in workplace technology. By connecting users with these powerful tools, they gain access to an intelligent assistant that can profoundly transform their daily tasks. This technology does not merely automate routine tasks; it offers a sophisticated level of assistance, enabling users to engage with complex problem-solving, content creation, and data analysis in a more efficient and effective manner.

This approach not only enhances productivity but also supports employees in managing their workload more effectively. It reduces the cognitive load of handling multiple tasks simultaneously and allows for a more focused and strategic approach to work.

Synthesize documents: studies, articles…

Enhancing meeting note-taking

Analyze complex documents: studies, reports…

Real time language translation

Spell Checking

Write and Generate content for articles

By honing in on key areas like information search and daily task assistance, we made the decision to focus on practical, impactful use-cases that resonate with the everyday needs of businesses.