Omnissa Expands AI to Advance Autonomous Workspaces

Omnissa is stepping up its AI game. At its Omnissa One conference in Las Vegas last week, the company unveiled new updates that integrate generative AI and agentic workflows more deeply into its digital work platform. The highlights include the upcoming Omni assistant, a built-in AI interface across the platform, and a new agentic service designed to help IT teams automate, orchestrate, and secure digital work environments more efficiently.

“Artificial intelligence isn’t just about automation, it’s about achieving aligned, relevant, and trusted outcomes that empower people to do their best work,” said Bharath Rangarajan, senior vice president of products and technology alliances at Omnissa.

Assist capabilities across the digital workspace

The Omni assistant builds on the “Assist” stage of Omnissa’s four-part AI framework—Alert, Advise, Assist, and Autonomy. It brings generative AI-powered, natural language interactions into the platform, making it easier for IT teams and employees to search knowledge, pull data insights, and even spin up scripts.

It’s basically a conversational layer woven into the workspace. It delivers real-time, in-context guidance that helps reduce manual effort and resolve issues faster. On top of that, Omnissa is introducing Experience Management Playbooks and expanding guided root-cause analysis to Horizon virtual desktops. These features are designed to help organizations troubleshoot more quickly and enhance the overall employee experience.

Powering proactive, agent-driven workflows

Looking further ahead to the “Autonomy” stage, Omnissa introduced its new agentic service. This capability helps IT teams to both consume and create workflows that automatically interpret platform signals, translate them into meaningful actions, and execute end-to-end tasks.

The first workflow, launching in beta, focuses on vulnerability defense, demonstrating how agentic AI can accelerate security responses and mitigate risk. Over time, Omnissa sees this evolving into self-configuring, self-healing, and self-securing digital workspaces.

“You’ll see us continue to bring more of that simplicity through the infusion of AI across our platform to reduce that complexity and manual processes,” said Renu Upadhyay, chief marketing officer, Omnissa.

Building with trust and transparency

Embedding AI in this case is about both capability and confidence. Customers will have full insight and control over how AI is deployed, including the option to nix features that don’t mesh with company policies. Transparency measures, such as centralized “nutrition labels,” will show how models and data are being utilized across the platform.

Omnissa’s commitment to trusted AI goes back years, with early AI/ML-powered intelligence capabilities introduced in 2017. These latest updates continue that trajectory, extending the company’s framework to help customers move closer to autonomous workspaces, without sacrificing security or user trust.

Omnissa’s updates reflect a broader industry push toward integrated AI. Earlier this month, Databricks Ventures invested in longtime partner Indicium to co-develop AI and data solutions, another sign that vendors and partners are doubling down on trusted, collaborative AI.