Kore.ai, a global leader in enterprise AI, has launched AI for Process, a no-code platform designed to transform how businesses automate and optimize knowledge-intensive operations. By enabling enterprises to build, deploy, and manage custom AI agents—known as Agentic Apps—at scale, AI for Process enhances contextual understanding, decision-making, and workflow orchestration. With its cloud-agnostic architecture, customizable tools, and seamless system integrations, the platform empowers organizations to streamline enterprise processes efficiently and securely.
Addressing the Challenges of Traditional Process Automation
Conventional process automation often falls short in decision-making and scalability. AI for Process eliminates these limitations, marking a shift from rigid, rules-based automation to intelligent process orchestration.
At the core of this innovation is Agentic RAG (Retrieval-Augmented Generation), a proprietary technology that integrates advanced retrieval with intelligent agent orchestration. This approach ensures unparalleled accuracy and contextual understanding, allowing AI-driven processes to adapt, reason, and minimize human intervention while maintaining robust security and compliance.
Unlocking New Automation Possibilities
By 2028, Gartner predicts that agentic AI will be embedded in 33% of enterprise software applications. AI for Process introduces a groundbreaking class of automation capabilities, including:
- Intelligent Agent Framework & Orchestration: The platform includes specialized AI agents tailored for distinct functions:
- Orchestrator Agent manages workflows.
- Reasoning Agents make complex decisions.
- Task Agents automate routine processes.
- Knowledge Agents process enterprise data.
- API Agents handle system integrations.
Additionally, the Agent Evaluation Framework assesses agent performance, execution plans, and decision pathways while identifying risks and optimizing tool usage.
- No-Code Development Environment: A user-friendly, visual workflow designer allows businesses to build AI-driven workflows effortlessly. Features include 65+ pre-built prompt templates, drag-and-drop integrations, testing tools, version control, and deployment management.
- Enterprise Integration Hub: AI for Process supports seamless integrations with commercial and open-source LLMs (Large Language Models) and leading cloud providers such as AWS, Azure, and Google Cloud, preventing vendor lock-in. It also includes pre-built connectors for enterprise data sources and APIs, ensuring real-time data synchronization.
- Human-in-the-Loop Functionality: This built-in feature incorporates human oversight within automated workflows, enabling approvals, asynchronous actions, and manual inputs where necessary.
- Advanced Security & Governance: With enterprise-grade security, AI for Process offers data anonymization, protection against prompt injection attacks, customizable content filters, audit trails, and centralized role-based access controls. AI guardrails ensure compliance in highly regulated industries.
“Traditional enterprise process automation was limited by rigid, rule-based systems lacking any autonomy,” said Raj Koneru, CEO & Founder of Kore.ai. “With the advent of advanced AI models capable of evaluation and reasoning, we’re ushering in a new era where intelligent AI agents can independently manage business processes, reducing over-reliance on human support. AI for Process enables enterprises to design scalable, reliable Agentic Apps that redefine efficiency while elevating humans into more strategic, supervisory roles.”
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Driving Business Impact
Organizations leveraging AI for Process report significant efficiency gains, including:
- 40-60% faster processing times
- 35-45% operational cost savings
- Up to 60% reduction in human review dependency
Early applications span customer support, loan processing, KYC verification, automated knowledge management, contract analysis, lead processing, proposal generation, and more.
A leading North American healthcare provider experienced a 30-second reduction in average handle time (AHT) and a 90% improvement in call wrap accuracy, improving both operational efficiency and customer satisfaction.
“The future of enterprise operations lies in AI agents collaborating to manage and optimize processes under human supervision,” said Prasanna Arikala, CTO & Head of Products at Kore.ai. “These agents will operate autonomously, seamlessly discovering and working with each other. Achieving this vision requires a robust AI agent platform integrating autonomous agents, advanced knowledge retrieval, and intelligent orchestration. With AI for Process, we’re delivering these future-ready capabilities today.”