Kore.ai Transforms Enterprise Business Workflows with Agentic AI

Kore.ai announced AI for Process, a no-code platform that fundamentally transforms how enterprises automate and optimize knowledge-intensive operations.

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Kore.ai announced AI for Process, a no-code platform that fundamentally transforms how enterprises automate and optimize knowledge-intensive operations. AI for Process empowers enterprises to rapidly build, deploy, and manage custom AI agents or Agentic Apps at scale that can understand context, make complex decisions and orchestrate sophisticated Agentic workflows. The platform's agnostic approach to cloud and AI models, customizable tools and seamless integration with diverse systems enable organizations to quickly and securely optimize enterprise processes.

"Traditional enterprise process automation was limited by rigid, rule-based systems lacking any autonomy," says 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."

Key Takeaways:

  • AI for Process opens an entirely new automation class with futuristic capabilities:

    • Intelligent Agent Framework & Orchestration: AI for Process includes specialized agents designed for specific functions. The Orchestrator Agent coordinates workflows while Reasoning Agents handle complex decision-making. Task Agents automate workflows, Knowledge Agents process enterprise information and API Agents manage system integrations.
      • The platform’s Agent Evaluation Framework comprehensively assesses agents, evaluates execution plans, tracks milestone achievements, analyzes decision trajectories, conducts minefield evaluations to identify potential risks, and validates tool usage patterns.
    • No-Code Development Environment: The platform offers a no-code environment with a visual workflow designer, 65+ pre-built prompt template, and drag-and-drop integration. It also features testing, validation, version control and deployment management tools for easy workflow creation and updates.
    • Enterprise Integration Hub: AI for Process offers integration with commercial or open-source LLMs and major cloud providers (AWS, Azure, Google Cloud), ensuring no vendor lock-in. The platform includes pre-built connectors for enterprise data sources and APIs, along with real-time data synchronization to maintain a consistent, up-to-date flow of information across systems.
    • Human-in-the-Loop: The built-in Human-in-the-Loop feature seamlessly integrates human touchpoints within automated workflows, enabling asynchronous human actions, approvals and form inputs as natural steps in process completion.
    • Security and Governance: The platform ensures security with data anonymization, protection against prompt injection attacks, custom content filters and audit trails. Centralized governance controls help manage role-based access to data while AI guardrails and compliance protect against risks in highly regulated industries.
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