Agentic automation and AI are reshaping enterprise operations, with leading companies like UiPath, Celonis, Blue Prism, Camunda, and ABBYY driving innovation. In this roundup, we explore key developments from February 2025 and considerations for businesses.
Key Updates from Industry Leaders
Agentic Orchestration Public Preview
UiPath launched its Agentic Orchestration in public preview, enabling end-to-end workflows involving AI agents, robots, and humans. This platform integrates orchestration with advanced tooling to simplify agent creation and improve process outcomes. Plus, it’s easier for non-technical users to create and deploy agents, lowering the barrier to entry for businesses.
AgentC Suite
Celonis expanded its AgentC suite with tools like the Process Collaboration Agent (powered by Rollio) to enhance decision-making through real-time process insights. These agents integrate seamlessly into existing workflows for better collaboration.
Next-Gen Hybrid Intelligent Automation Platform
Blue Prism unveiled its next-generation hybrid intelligent automation platform, emphasizing enhanced flexibility and scalability. The Control Center provides a single pane of glass for operations, offering centralized worker management and monitoring across all environments.
Camunda Co-Pilot
Camunda is also introducing new integrations and AI capabilities with Camunda Co-Pilot. This tool boosts IT and business user productivity with a common modeling language supported by Camunda Modeler’s new AI-powered Co-Pilot and assistants.
IBM watsonx Integration
Celonis partnered with IBM watsonx Orchestrate to combine process intelligence with AI-driven automation. This integration allows enterprises to build agents that leverage both structured and unstructured data for optimized workflow execution, emphasizing the importance of partnerships in building robust agent ecosystems.
Eliminating Automation Silos
Camunda introduced new RPA and IDP capabilities to eliminate automation silos. Camunda RPA transforms isolated task automation into comprehensive end-to-end process orchestration by embedding RPA directly into a workflow, once again highlighting the importance of a unified approach to process orchestration. Camunda IDP replicates human work using AI and ML to classify, extract, and process information from documents, minimizing errors and saving valuable time.
Purpose-Built AI
The introduction of Phoenix 1.0, a multimodal AI model, powers advancements like auto-labeling in Vantage, significantly reducing model development time. Unlike broad LLMs, Phoenix 1.0 is specifically designed to meet the text and visual requirements of document-based processing, emphasizing speed and accuracy while minimizing resource consumption to reduce operational costs.
The Shift
The integration of AI into automation platforms is becoming more sophisticated. This advancement allows for more complex, adaptable, and autonomous automation solutions that can handle a wider range of tasks and make higher-level decisions based on real-time data and context. These recent announcements also signal a pivotal shift toward integrated partner ecosystems and a unified approach for effective orchestration across workflows.
However, improvements in accessibility like low-code/no-code and AI-powered assistants allow employees to leverage automation in their daily work, potentially increasing productivity and efficiency across their organization, but not without risk.
Agility & Responsiveness
By empowering business users to create and manage automations, organizations can respond more quickly to changing market conditions and customer needs. However, they will need to invest in training and support to equip citizen automators with the skills and knowledge they need to effectively use these platforms.
Innovation from the Front Line
The surge in accessibility and low-code/no-code platforms empowers citizen automators to identify candidates for process optimization that might be overlooked, as they are often closest to the business problems. But, establishing clear governance policies and frameworks is crucial to prevent chaos and ensure that citizen-created automations align with business goals and security standards.
Importance of the Center of Excellence (COE)
Scaling citizen-created automations can be challenging, and organizations need to have a plan for managing and maintaining these automations as they grow. A trusted advisor can guide this journey by delivering comprehensive managed services, standing up an Intelligent Automation Center of Excellence, and establishing strong governance frameworks. With expert support, businesses can streamline their citizen automation programs, maintain high standards of quality and compliance, and ensure each initiative aligns with broader strategic objectives.
Key Takeaways
Before unleashing Agentic AI, it’s crucial to keep these important guiding principles in mind. 1) Agentic AI depends on high-quality, up-to-date data to orchestrate processes across multiple systems. When data is incomplete or inaccurate, automation outcomes suffer. 2) Automation magnifies what already exists: efficient processes become more efficient, while inefficiencies escalate if left unchecked. 3) It’s important to have an ambitious roadmap, while focusing on near-term, high-value opportunities to keep progress tangible and support steady growth.
Ultimately, by combining the latest industry innovations with strong data practices, operational readiness, and a balanced, well-governed approach, organizations can confidently harness agentic automation’s transformative potential and scale their digital capabilities to new heights.
