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ServiceNow, the digital workflow leader, has launched Now Assist, a suite of AI-powered solutions that enhance the productivity and experience of its customers across IT, customer service, HR, and development.
Now Assist is powered by ServiceNow’s own generative AI engine and the company has released a domain specific, ‘Now LLM’, built for productivity and data privacy at an enterprise level.
“Now Assist is a game-changer for our customers who want to optimise their workflows and deliver better outcomes for their employees and customers,” said CJ Desai, chief product officer at ServiceNow. “By using AI to automate and augment tasks, Now Assist empowers our customers to focus on what matters most and drive digital transformation at scale.”
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The AI suite consists of 4 solutions tailored for different domains:
Now Assist for ITSM helps IT leaders improve the IT experience for their agents and employees by providing instant answers and summaries of incidents, requests, and live chat interactions.
Now Assist for CSM streamlines the customer service process from beginning to end by generating summaries for cases and chats, reducing manual work and allowing agents to resolve customer issues faster.
Now Assist for HRSD helps HR leaders drive productivity and operational efficiency by reducing redundant, manual tasks for HR teams, and getting employees the answers they need quickly with little disruption to their day.
For creators, it helps development teams create and scale apps more quickly on the Now Platform by using AI to generate high-quality code suggestions from natural language text.
In the same industry, companies such as Oracle have also introduced advanced AI assistants tailored for enterprises, aiming to enhance workflow efficiency and overall productivity. A report from Goldman Sachs predicts that generative AI will significantly boost human productivity, contributing nearly $7 trillion to the global GDP over the next decade. Consequently, an increasing number of startups are actively pursuing the development of their own Large Language Models (LLMs) to seize a share of this burgeoning opportunity.
