Flowable eyes new standard in process automation with agentic AI
Update is a “game-changer” in integrating AI into business workflows for enhanced efficiency, coordination and scalability
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Digital transformation platform Flowable unveiled its Summer 2025 update introducing a sophisticated agent model and a new agent engine to set a new standard in process automation with agentic artificial intelligence (AI).
Released last week, the update is a “game-changer” in integrating AI into business workflows for enhanced efficiency, coordination and scalability, according to the firm.
Businesses can now create, orchestrate and manage AI agents using the same powerful tools they rely on for business process model and notation (BPMN) and case management model and notation (CMMN) workflows, providing a unified environment for advanced enterprise process automation.
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Key features of Flowable’s new AI agents
The update includes a range of new features designed to optimize business processes and enhance automation. These include:
- Flexible agent creation: Users can create AI agents of varying complexity, to work with simple tasks or complex workflows, directly within the Flowable platform.
- External AI integration: Flowable integrates with external AI services, such as AWS Bedrock, Azure Foundry and Salesforce Agentforce, enabling businesses to extend their automation capabilities.
- Multi-agent collaboration: The platform supports complex workflows with multiple AI agents working together across internally configured and external systems for efficient automation.
- AI-powered case management: The new “AI button” in Flowable’s case automation links cases to AI models, enabling real-time summaries, question answering, actionable suggestions and autonomous customer communication and task completion.
Transforming process automation with agentic AI
The release introduces four types of AI agents, each designed to address specific business needs, according to a press release:
- Utility agent: Automates tasks like data enrichment, sentiment analysis and classification.
- Document agent: Extracts and processes data from unstructured documents such as invoices, contracts and other records.
- Knowledge agent: Provides contextual answers by tapping into internal knowledge bases, FAQs or documentation.
- Orchestrator agent: Coordinates and manages other agents or tasks based on dynamic inputs, rules or goals.
Empowering enterprises with intelligent automation
Flowable’s latest release enables enterprises to seamlessly integrate agentic AI into their workflows, unlocking new levels of automation and intelligence, the vendor stated. “By leveraging agentic AI, organizations can enhance decision-making, streamline operations and drive digital transformation.”
With this next generation of AI-powered automation, businesses are poised to lead the future of intelligent business processes, Flowable concluded.
AI agents are “essential” for process automation
Businesses view AI agents as essential tools in process automation, according to a recent study by technology giant and process mining provider IBM.
Enterprises are expected to significantly scale AI-enabled workflows – many driven by agentic AI – relying on them for process efficiency and cost reduction. The AI Projects to Profits study, which surveyed 2,900 executives globally, revealed that respondents expect AI-enabled workflows to grow from 3 percent today to 25 percent by the end of 2025.
With 70 percent of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation.
With the pace of digital transformation accelerating, enterprises can turn to AI agents as the next evolution of intelligent automation, IBM stated. As many as 83 percent of respondents expect AI agents to improve process efficiency and output by 2026, with 71 percent believing agents will autonomously adapt to changing workflows.
“We see more clients looking at agentic AI as the key to help them move past incremental productivity gains and actually gain business value from AI – especially when applied in their core processes like supply chain and HR,” said Francesco Brenna, VP and senior partner, AI integration services, IBM Consulting.
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