
AI agents proven to deliver outcomes that last
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Trusted by hundreds of the largest enterprises
AI agents and workflows for service, work, and process

AI for service
Resolve customer cases from start to finish, across every channel and system.

AI for work
Complete employee requests without handoffs or delays.

AI for process
Run multi-day, multi-system processes to completion, with a full audit trail.
AI agents and workflows for service, work, and process
Kore.ai Agent Platform
{ Artemis }
Build
Scale.
Optimize.
The AI-programmable platform architected for optimization across the agentic enterprise.
The Autoloop™ Advantage
Autoloop is the optimization engine that continuously improves agents against defined goals from first build through production.

[Build] AI-programmable by design
Define agent behaviour, tools, guardrails, and handoff logic in a structured, compilable way, purpose-built for agentic AI rather than retrofitted onto a chatbot.
[Scale] Model-flexible
Steer, ground, and compose across models and tools. Swap the model underneath without losing the expertise, workflows, and evaluations built on top.
[Optimize] Deterministic control
Policy enforcement and observability sit at the architecture level, separate from the models. Every session is traced and auditable, so agents run in production safely and improve over time.
The pillars that govern your AI agent life cycles

Agent Blueprint Language [ ABL™ ]
AI agents resolve cases end to end, support human agents, and continuously optimize as they go.

ARCH™
AI agents unblock your people by searching and acting across your systems and knowledge bases.
How we get you there in weeks, not months.
Solutions
Speed up time to value.
Proof Concierge
Proves it on your own use case before you commit.
Forward Deployed Engineers (FDEs)
Take you from proof to production in weeks.
Analyst recognition
As enterprise AI moves from experimentation to production, the 2026 report helps application leaders select platforms for enabling complex and scalable AI assistants and conversational AI agents.
The assessment examines vendors on the strength of their current offering, strategy, and customer feedback, with a strong focus on application and agent development, resource orchestration, personalization, memory and context, analytics, governance, and enterprise scalability.
The research assesses providers on vision and capability, market impact, multi-agent orchestration, governance, enterprise integrations, agent lifecycle management, and support for scalable, goal-driven automation across complex enterprise workflows.
Enterprise AI trust and reliability.
Trust is engineered into every layer from security and governance to compliance, observability, and responsible AI controls.






