Kore.ai Unveils Agentic AI Platform To Transform Enterprise Business Workflows
Kore.ai's agentic AI platform reduces the need for human intervention while maintaining control over data security and compliance, processes, and outcomes.
In traditional enterprises, process automation is limited by rigid, rule-based systems that lack autonomy and they struggle during decision-making processes and scaling. With the advent of advanced artificial intelligence models capable of evaluation and reasoning, intelligent AI agents can independently manage business processes, reducing over-reliance on human support.
To enable enterprises to build, deploy, and manage custom AI agents or agentic apps that can understand context, make complex decisions, and orchestrate agentic workflows, enterprise AI company Kore.ai has launched AI for Process.
The no-code platform transforms how enterprises automate and optimise knowledge-intensive operations. The platform's agnostic approach to cloud and AI models, customisable tools, and integration with systems enable organisations to quickly and securely optimise enterprise processes, Kore.ai said.
Proprietary Agentic RAG
AI for Process introduces a proprietary Agentic RAG (retrieval-augmented generation), which integrates advanced retrieval with intelligent agent orchestration, resulting in accuracy and contextual understanding.
It can understand, reason, and adapt, reducing the need for human intervention while maintaining control over data security and compliance, processes, and outcomes.
Automation Opportunities
By 2028, Gartner predicts agentic AI will be included in 33% of enterprise software applications. According to Kore.ai, AI for Process opens a new automation class with futuristic capabilities:
Intelligent Agent Framework & Orchestration: The platform includes specialised 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.
No-Code Development Environment: It offers a no-code environment with a visual workflow designer, 65+ pre-built prompt templates, 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), avoiding vendor lock-in. The platform includes pre-built connectors for enterprise data sources and APIs, along with real-time data synchronisation to maintain a consistent, up-to-date flow of information.
Human-In-The-Loop: The built-in Human-in-the-Loop feature 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 enables security with data anonymisation, protection against prompt injection attacks, custom content filters, and audit trails. Centralised governance controls help manage role-based access to data while AI guardrails and compliance protect against risks in highly regulated industries.
“AI for Process enables enterprises to design scalable, reliable Agentic Apps that redefine efficiency while elevating humans into more strategic, supervisory roles,” said Raj Koneru, CEO and founder of Kore.ai.
According to the company, the platform is delivering automation efficiencies for customers, achieving 40-60% faster processing, 35-45% operational cost savings, and about 60% reduction in human review dependency. Early use cases span customer support, loan application and KYC processing, support ticket analysis, automated knowledge creation, contract analysis, lead processing, and proposal generation.
