The AI-Powered Experience Orchestration playbook

UiPath Expands Platform to Drive AI-Powered Agentic Automation and Orchestration

MarTech

UiPath has expanded its UiPath Platform for agentic automation and orchestration with a comprehensive set of new capabilities and pre-built solutions designed to accelerate AI transformation for enterprises. This enhanced platform ecosystem now enables organizations to deploy agentic automation faster while ensuring robust security and governance, addressing critical challenges such as identifying ideal use cases, building reliable agents, and integrating data across diverse systems. By simplifying these complexities, UiPath helps businesses drive efficiency, reduce costs, and achieve quicker ROI from their AI initiatives.

A key component of this expanded offering is UiPath Maestro, which provides end-to-end orchestration solutions empowering business users to manage complex processes seamlessly across industries. Maestro Case Management comes with pre-built templates for high-impact scenarios including claims, loans, disputes, and investigations, making it easier to model and optimize these case workflows. Additionally, new Maestro Process Apps offer real-time operational visibility and actionable insights to improve process performance proactively.

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UiPath also introduced purpose-built UiPath Solutions that combine agents, workflow automation, and orchestration tailored to industries like financial services, healthcare, customer service, and retail. These solutions address common challenges such as financial crime compliance and customer onboarding, accelerating deployment and boosting time-to-value for large-scale, repeatable processes.

For developers and automation creators, the platform now includes UiPath Agents with Agent Builder, which provides a visual low-code canvas for building and debugging conversational, low-code, and pro-code agents. Reusable templates and automatic optimization streamline deployment, while new conversational agents extend functionality into collaboration tools like Microsoft Teams and Slack, incorporating voice support and human handoffs for more natural interactions. Complementing this is the introduction of UiPath Screenplay and API Workflows, which simplify automation creation using natural language and comprehensive API integrations, reducing both the time and cost of agent and workflow development.

Document processing capabilities have also been enhanced through UiPath IXP with advanced data extraction, validation, and looping, backed by a proprietary customizable large language model. Features like Autopilot for schema creation and Extraction and Validation Agents significantly reduce manual work while improving accuracy for workflows involving contracts, compliance, and system-of-record validations.

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Testing and quality assurance receive a boost with Test Cloud enhancements, enabling QA teams to simulate real-world workloads, perform autonomous and self-healing testing, and leverage AI-driven assistants for end-to-end test management.

Enterprise-grade governance is deeply embedded, with features such as extended guardrails for agent control, real-time PII content masking, and Unified Audit 2.0 providing a single source of truth for compliance and accountability.

Paul Kistner, Global Head of Business Transformation at Allegis Global Solutions, praised UiPath as “more than a vendor  they are a true partner in co-innovation and transformation… reimagining how our business works and how our services will be delivered in the future.”

Graham Sheldon, Chief Product Officer at UiPath, summarized the platform’s value: “AI transformation leaders have told us they want more AI or more tools – they want one AI platform to manage it all. Our expanded platform gives them the ability to readily build agents, drive automation across common use cases, and orchestrate processes end to end with the confidence of security and compliance at every step. We’re meeting the demand of modern AI transformation, helping enterprises of all sizes achieve greater agility, responsiveness, and efficiency, accelerating ROI from their agentic AI investment.”

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