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Introducing AI for Process
AI for Process empowers process automation teams to streamline complex workflows, ensuring compliance, consistent outcomes, contextual decision-making, and actionable insights across any AI model, application, or cloud.
Protect confidential data and meet regulatory standards with enterprise-grade governance.
Manage permissions with a RBAC system, granting users access to AI agent settings based on roles.
Enable AI agents to request human input or approval at key decision points, ensuring compliance.
Track every AI agent action with detailed audit logs that capture agent decisions, user inputs, and workflow changes, ensuring transparency, traceability, and compliance.
Streamline operations and scale automation faster using no-code workflow builders, process templates, and API triggers.
Visually build and deploy agent-powered workflows with step-by-step, no-code forms.
Launch AI-automated workflows faster with 75+ ready-to-use prompt and process templates.
Automate process flows by reacting to specific events across connected enterprise systems.
and decisions
Drive better business outcomes through actionable AI insights and contextual intelligence.
Monitor agent performance, usage, and latency with real-time dashboards.
Seamlessly connect to over 250 enterprise systems to give your AI agents more data access.
Enable agents to recall key facts for more personalized and informed responses, reducing the need to provide context.
consistency
Ensure repeatable, high-quality process outcomes with human and AI agent collaboration.
Coordinate multi-agent interactions with intelligent decision-making and context management.
Build custom AI agents tailored to your workflows with no-code design tools within the Kore.ai Agent Platform.
Gather approvals or human data entry directly within specific points of automated processes.
Stay flexible and future-proof operations with support for any model or cloud environment.
Use or fine-tune leading large language models (LLMs) from OpenAI, Google, and Anthropic in the same workflow.
Leverage open-source options via HuggingFace for cost-effective process automation scaling.
Operate seamlessly across AWS, Microsoft Azure, Google Cloud, on-premise, or any hybrid cloud environment.
