Sold by: KoreJapan
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
Overview
Kore AI for Process is an AI-native automation platform designed for the new era of intelligent agents. It enables enterprises to automate complex, dynamic business and IT processes with agility, governance, and control, bridging the gap between existing RPA and BPM systems and the next generation of adaptive automation. At its core, AI for Process uses adaptive agentic orchestration to automate real-world, non-linear processes. Autonomous AI agents coordinate across systems, decisions, and people, learning from every execution, adapting to edge cases, and improving outcomes over time. The platforms no-code and pro-code agent builder empowers both business users and developers to design and deploy workflows through an intuitive interface. Processes can be composed, updated, and scaled quickly with drag-and-drop tools or custom scripting, accelerating delivery while reducing dependence on costly AI development. Enterprise governance and visibility are built in. A centralized orchestration layer provides full observability across every AI agent and automation, preventing bot sprawl and ensuring compliance through detailed process logging, access controls, and audit trails. With 200+ integrations and 75+ ready-to-deploy templates, organizations can achieve rapid time-to-value by connecting directly with their existing RPA systems, BPM tools, CRMs, ERPs, and IT operations platforms, without disrupting legacy infrastructure. The Human-in-the-Loop framework ensures that AI and humans work together seamlessly. When intervention is required, the system hands off contextually rich insights for efficient decision-making, while resuming automation immediately after approval. Built on Kore.ais enterprise-grade Agent Platform, AI for Process provides adaptive intelligence that continuously learns, reasons, and collaborates. Whether automating finance, IT, or supply-chain operations, the platform drives measurable improvements in efficiency, compliance, and scalability, helping enterprises achieve intelligent process orchestration at scale
Highlights
- At its core, AI for Process uses adaptive agentic orchestration to automate real-world, non-linear processes. Autonomous AI agents coordinate across systems, decisions, and people, learning from every execution, adapting to edge cases, and improving outcomes over time.
- With 200+ integrations and 75+ ready-to-deploy templates, organizations can achieve rapid time-to-value by connecting directly with their existing RPA systems, BPM tools, CRMs, ERPs, and IT operations platforms, without disrupting legacy infrastructure.
- Enterprise governance and visibility are built in. A centralized orchestration layer provides full observability across every AI agent and automation, preventing bot sprawl and ensuring compliance through detailed process logging, access controls, and audit trails.
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Dimension | Cost/12 months | Cost savings % |
|---|---|---|
AI for Process - AI Agents | $10,000.00 | 97% |
AI for Process - AI Agent Runs | $10,000.00 | 97% |
Dimensions summary
This contract-based listing bills across two separate units. AI Agents charges by the number of AI agents you provision. AI Agent Runs charges by the volume of agent executions those agents perform. The two dimensions work together: one covers how many agents you deploy, the other covers how often they run. You select quantities for each independently, so your total scales with both your agent count and your usage. This lets you size the agent footprint and the runtime activity as distinct pricing decisions under one contract term.
Top-of-mind questions for buyers
An AI Agent is one provisioned agent you define on the platform. Each agent has its own behavior, tools, guardrails, and orchestration logic. You count each distinct agent you deploy as one unit. Building or publishing a new agent adds to your agent count.
An AI Agent Run is one execution of an agent, meaning one session where an agent reasons, calls tools, or completes a task. Each run counts separately. The Runs dimension charges by execution volume, so cost rises as your agents run more often.
Both charges apply at the same time and appear under one contract. The AI Agents dimension reflects how many agents you deploy. The AI Agent Runs dimension usually dominates in high-volume workflows, since active agents can execute many times. Low-activity setups lean more on agent count.
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