UiPath Presents New Vision of the Future

UiPath, a company in the field of agentic automation and AI, has presented its new vision and strategic direction. The company wants to focus on the next evolutionary stage of enterprise automation - agent-based automation.

UiPath has been very active in the field of robotic process automation (RPA) to date. With the development of agent-based automation, the company now wants to break new innovative ground in order to automate customer processes. The major advance over RPA is that AI agents, robots, humans and models are now being combined. This enables a company-wide AI transformation for end-to-end processes. The value of agent-based solutions lies in their potential to efficiently handle a large number of complex and differentiated use cases in various industries while being adaptable, flexible and cost-saving.

In agent-based automation, both software robots and agents are used to perform work tasks. Robots are best suited to automating repetitive and rule-based tasks in order to increase efficiency and reduce manual effort. Agents, on the other hand, are better able to adapt to changes, make intelligent decisions and manage complex and dynamic processes. The combination of robots and agents expands the scope and impact of automation, enables business growth and empowers employees to focus on more challenging tasks.

gents handle critical business processes and tasks that could not previously be automated, as they are able to act independently and make dynamic decisions.

Agent-based automation

"Agent-based automation is the natural evolution of RPA," says Daniel Dines, founder and CEO of UiPath. Agents can draw on millions of automations developed by UiPath customers and use the same ecosystem of tools. This makes it possible to reliably integrate these automations into thousands of enterprise applications. Agents benefit from the management and control provided by the UiPath platform and the highly accurate robots that provide high reliability, as well as human involvement in critical decisions.

GenAI and agents

Maximizing the value of agent-based workflows requires orchestration between agents, robots, humans and models. However, the complexity of integrating often unpredictable models into business-critical workflows can be challenging. UiPath will address these challenges with agent-based orchestration: a process that enables the design, implementation, operation, monitoring and optimization of complex business processes from start to finish.

Customers can manage the entire process lifecycle from a single platform - automation, intelligent process insights, modeling, monitoring and management - enabling automation, AI agents and humans to work together for better results. By understanding all roles and responsibilities in workflows, agent-based orchestration can ensure compliance and deterministic outcomes with the dynamic adaptability enabled by agents.

"Agent-based automation will quickly become the primary mechanism for combining AI with rules-based technologies to automate and augment knowledge work," says IDC's Maureen Fleming. "By combining GenAI and AI agents, employees can now make even more sense of the benefits of business automation to get their work done, taking automation to the next level of value in organizations."

Autopilot for Everyone

UiPath also announced the launch of "Autopilot for Everyone" - a cross-platform GenAI conversational agent that helps every employee increase their productivity at work. Autopilot for Everyone enables end users to take full advantage of UiPath's agents and workflow automations so that any employee, regardless of their technical skills, can complete complex tasks: The solution uses specialized AI models for specific tasks such as document understanding and semantic copy and paste.

Customers also benefit from UiPath's security and governance: Autopilot is based on the UiPath AI Trust Layer, which enables companies to easily manage and control the introduction and use of data from AI models.

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