Today, AI company Cohere announced the launch of Coral, an enterprise-grade knowledge assistant designed to boost productivity and streamline workflows. Coral, powered by Cohere's Command model, uses natural language processing to facilitate the completion of tasks by enabling users to ask questions and receive relevant responses, effectively acting as an enterprise chatbot.
Amid the evolving work environment, employees increasingly seek information in a more interactive, conversational manner. However, as the volume of information in enterprises grows, it's becoming more challenging for employees to find the answers they need to stay productive. Coral aims to address this issue, providing real-time assistance to employees, much like a knowledgeable colleague would.
According to a McKinsey report, employees can spend up to 20% of their workday searching for information, affecting their speed and performance. With the help of Coral, companies can significantly reduce this time spent, allowing their workers to focus more on their core tasks.
Consumer-grade chatbots have shown promising results in terms of improving productivity. Some studies suggest that brainstorming and drafting communications could be enhanced by up to 50% with the help of these chatbots. Cohere's Coral seeks to apply these benefits to the enterprise environment, across all business functions.
For instance, knowledge workers, including account executives, analysts, consultants, engineers, lawyers, etc., can leverage Coral to improve efficiency and output quality in their roles. Additionally, customer support departments can utilize Coral to access product and support details rapidly and accurately. One study found that having access to such an assistant can help resolve 14% more cases on average.
However, despite the excitement for workplace chatbots, data privacy and trust in generative AI remain significant barriers to widespread adoption. Many companies have banned consumer chatbots due to concerns over sensitive data leaks. In response, Cohere ensures Coral is privately deployed to safeguard sensitive data.
Moreover, Coral has been designed to avoid the potential pitfalls of generative AI, like 'hallucinations,' where the AI can produce false but confident-sounding responses. To minimize misunderstandings, Coral is designed to verify its responses, adding an extra layer of trust.
Coral boasts the following features:
- Conversational: Coral understands the intent behind conversations and remembers history, making it user-friendly. It can perform tasks like researching, drafting, summarizing, and more.
- Customized: Coral can be customized to understand the nuances of an individual business, industry, and domain. It comes with 100+ integrations ready to connect to data sources across CRMs, collaboration tools, databases, search engines, support systems, and more.
- Grounded: To help verify its responses, Coral can produce answers with citations from relevant data sources. It's trained to seek relevant data based on a user's need, even from multiple sources.
- Private: To ensure data privacy and security, Coral can be deployed in a private environment.
Coral is currently being used in a private access program with a select group of customers. Initial feedback from early partners such as Oracle Cloud Infrastructure, LivePerson, and Elastic has been highly positive. Companies interested in participating in the program can contact Cohere's team for more information.
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