Deployed on AWS
AI for Process is an AI Agent platform designed to automate knowledge-intensive business processes. By combining deep domain AI agents with robust integration, it streamlines operations, reduces human dependency, and boosts compliance and efficiency. It features Multi-Agent Process Automation for handling complex decisions using structured/unstructured data, and Process-Specific AI Orchestration for customizable workflows aligned with business goals. Its Human-in-the-Loop Framework enables human intervention at key decision points. With Enterprise Integrations, it connects systems via standardized data exchange. Pre-configured templates accelerate setup, while built-in Governance & Compliance ensures transparency and industry-aligned control. AI for Process empowers enterprises to scale automation with confidence, agility, and regulatory assurance.
Overview
AI for Process is a powerful agentic AI platform purpose-built for automating knowledge-intensive tasks across business processes. Designed to streamline complex workflows, AI for Process enables organizations to operate more intelligently, consistently, and efficiently by leveraging the deep domain expertise of specialized AI agents. These agents are equipped to handle nuanced decision-making, integrate seamlessly across systems, and uphold regulatory compliance, all while reducing the need for constant human intervention.
At the core of the platform is Multi-Agent Process Automation, where AI agents apply specialized reasoning to make informed decisions, extract insights from both structured and unstructured data, and execute multi-step workflows while ensuring compliance with business rules. This is particularly valuable in industries where accuracy, regulatory alignment, and operational efficiency are non-negotiable. Process-Specific AI Orchestration enables businesses to customize workflows aligned to their unique objectives. These AI agents act in coordination using triggers, approvals, and contextual understanding to optimize outcomes across departments and teams. With contextual awareness, agentic AI applications ensure alignment between automation and business intent.
The platform incorporates a Human-in-the-Loop Framework to ensure critical decisions still benefit from human expertise. With configurable handoff protocols between AI agents and human experts, it ensures that when needed, AI defers to human judgment with the right context, preserving continuity and confidence in decision-making processes.
Hundreds of enterprise Integrations are seamless, enabling businesses to span departmental boundaries with pre-built integrations that promote standardized data exchange and API governance. This integration ensures end-to-end visibility and removes data silos, leading to unified operations.
With Accelerate with Templates, organizations benefit from pre-built process templates that reduce implementation time and technical complexity. These agentic AI process templates support common business processes with built-in workflows, approval systems, and monitoring dashboards that facilitate faster deployment and operational agility.
Governance & Compliance is built into the foundation of AI for Process. AI for Process ensures that all automation activities are transparent, auditable, and compliant with industry-specific requirements. Built-in verification mechanisms, robust process logging, and business rule enforcement make it easier to meet regulatory standards while maintaining operational excellence.
AI for Process equips enterprises with a future-ready automation solution that balances intelligent automation with human oversight, fosters agility through templates and integrations, and ensures governance in highly regulated environments. Whether for finance, healthcare, legal, or other industries, AI for Process delivers measurable improvements in performance, compliance, and cross-functional collaboration.
Highlights
- Multi-agent Orchestration: AI agents that handle knowledge-intensive tasks, applying specialized reasoning to make decisions, extract insights from structured and unstructured data, and execute multi-step workflows while maintaining business rule compliance
- Process-Specific AI Orchestration: AI agents designed for specific business processes, orchestrating their actions through customizable workflows with appropriate triggers, approvals, and contextual awareness to ensure optimal outcomes in line with business objectives
- Accelerate Process Automation with Templates: Seamlessly integrate human expertise at critical decision points with configurable handoff protocols between AI systems and human experts, providing appropriate context for decisions while maintaining process continuity
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Deployed on AWS
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Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
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Dimension | Cost/12 months | Overage cost |
|---|---|---|
AI for Process - AI Agents | $0.001 | |
AI for Process - AI Agent Runs | $0.001 |
Dimensions summary
AI for Process uses a contract model with two separate pricing dimensions you buy together. The first, AI Agents, is priced per unit and covers the number of AI agents you provision. The second, AI Agent Runs, is also priced per unit and covers how often those agents execute. These dimensions are independent: one reflects how many agents you deploy, the other reflects your usage volume. Your total cost scales as you add more agents and as those agents run more frequently across your workflows.
Top-of-mind questions for buyers
An AI Agent unit maps to a single AI agent you provision on the platform. Each agent has defined behavior, tools, and guardrails. You count one unit per deployed agent, whether it handles search, content generation, or workflow automation across your enterprise systems.
An AI Agent Run is one execution of a deployed agent. Each time an agent runs a task or workflow, it counts toward your run volume. Charges accrue based on how many runs occur, so cost rises with usage frequency, not with agents sitting idle.
Both charges apply together on the same contract and bill independently. The AI Agents charge scales with how many agents you provision. The AI Agent Runs charge scales with execution volume. High-frequency workflows push run costs higher, while large agent counts raise the agent portion.
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AI for Process is an AI Agent platform designed to automate knowledge-intensive business processes. By combining deep domain AI agents with robust integration, it streamlines operations, reduces human dependency, and boosts compliance and efficiency. It features Multi-Agent Process Automation for handling complex decisions using structured and unstructured data, and Process-Specific AI Orchestration for customizable workflows aligned with business goals. Its Human-in-the-Loop Framework enables human intervention at key decision points. With Enterprise Integrations, it connects systems via standardized data exchange. Pre-configured templates accelerate setup, while built-in Governance & Compliance ensures transparency and industry-aligned control.
Kore AI for Process is an AI-native process automation solution built to automate complex, knowledge-intensive workflows.. It enables business users and developers to orchestrate dynamic, real-world processes with simplicity, AI governance, and scale. Co-existing with existing robotic process automation (RPA) and business process automation (BPM) systems, AI for Process delivers higher automation coverage, faster efficiency, and productivity, without costly rip-and-replace
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