News
Key Takeaways
- AI Agent Automation. C3 AI introduces agentic AI automation that goes beyond traditional RPA.
- No-Code AI Workflows. Enterprises can build and deploy AI-powered workflows without coding.
- Efficiency and Cost Savings. C3 AI Agentic Process Automation helps streamline operations and accelerate digital transformation.
On September 9, 2025, C3 AI announced C3 AI Agentic Process Automation. The new product helps enterprises manage business and operational workflows through autonomous AI agents.
According to company officials, the solution aims to reshape activities previously handled by robotic process automation (RPA) tools by combining reasoning capabilities of modern AI models with predetermined steps and controls.
C3 AI Agentic Process Automation features a no-code interface that allows enterprise users to create and deploy AI-powered processes without programming expertise.
The Shift From RPA to AI-Powered Automation
"Rules-based automation is brittle. Traditional RPA systems follow rigid instructions, leading to complex workflows and sub-optimal outcomes with the need for substantial human intervention for escalations."
- Nikhil Krishnan
Chief Technology Officer, Data Science, C3 AI
Intelligent automation is rapidly moving beyond rule-based systems as organizations seek to handle complex workflows with AI-powered adaptability and decision-making capabilities.
The market is witnessing a big shift from traditional automation approaches. While robotic process automation (RPA) and business process automation (BPA) excel at structured, repetitive tasks, AI-powered automation is emerging as essential for handling unstructured data and complex scenarios. According to industry reports, 88% of enterprises are actively planning intelligent automation initiatives, with 77% focusing on automating their most complex processes.
Many organizations have struggled to scale beyond pilot programs due to security risks and compliance concerns. Data quality remains a significant hurdle, with researchers finding that 83% of respondents had to exclude at least one data source from automation projects due to poor data quality.
The industry is moving toward agentic workflows that can adapt, optimize and deliver innovative solutions rather than merely following predefined steps.
"C3 AI Agentic Process Automation is a breakthrough that will mark a decisive shift in the very nature of work."
- Stephen Ehikian
CEO, C3 AI
Related Article: AI Agent vs. Agentic AI: What’s the Difference — And Why It Matters
Core Features of C3 AI Agentic Process Automation
C3 AI Agentic Process Automation aims to address both business and operational workflows across various enterprise functions.
| Capability | Description |
| AI Agent Autonomy | AI agents use reasoning capabilities with defined constraints and objectives. |
| No-Code Interface | Natural language interface for creating AI processes without coding. |
| Flexible Deployment | AI-powered workflows can run on demand, by schedule or event triggers. |
| Template Library | Pre-built templates available alongside custom workflow creation. |
| Transparency | All actions, tool calls and steps are auditable. |
C3 AI’s Role in Enterprise AI Transformation
C3 AI, founded in 2009 in Redwood City, California, targets enterprise technology leaders seeking to operationalize AI at scale across complex organizations.
The C3 AI Platform and Application Ecosystem
C3 AI offers a suite of AI-driven software applications and a platform designed to accelerate digital transformation for large enterprises. Its offerings include:
- Pre-built applications for predictive maintenance, fraud detection and supply chain
- A model-driven AI platform that supports rapid development and deployment of custom solutions.
C3 AI states that its technology integrates with existing enterprise IT systems and supports a range of industry standards.
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Where C3 AI Delivers the Most Impact
C3 AI primarily serves sectors with high data complexity such as energy, manufacturing, defense and financial services. Typical customers are large enterprises and government agencies with significant operational footprints and data integration needs.
The company positions itself as a partner for organizations seeking to scale AI initiatives beyond pilot projects and into core business operations.
