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 and work
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 agents and workflows for service, work, and process
Advisor and employee productivity streamlined and modernized with AI agents and agentic workflows.
Global HR support transformed with scalable AI agents, automating all routine employee inquiries.
Treasury and trade banking operations remodeled with AI voice agents, human AI assistance, and automation.
IT service desk operations transformed and assured with compliant, AI agent assistants and workflows.
AI-first transformation in customer service reducing wait times, delivering happier customers, more revenue.
Kore.ai Agent Platform
{ Artemis }
Build
Govern.
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.
Get agents to production faster
Set the goals an agent needs to meet for production readiness. Autoloop builds, evaluates, and improves the agent against those goals until they are met.
Keep performance on track in production
Real interactions trigger new optimization cycles, so Autoloop continues evaluating and improving the agent against the same goals after deployment.
See exactly where a goal was missed
StateTrace captures the full execution path across handoffs, state, tool calls, and context, giving Autoloop the evidence to identify where and why performance fell short.
Change exactly what caused the miss
ABL maps each step in the execution trace back to the construct that produced it, so Autoloop can change the part responsible for the failure instead of broadly changing the agent.
Optimize efficiently at scale
Autoloop automates exact checks and repairs, applies model judgment only where necessary, and validates every change across all configured goals before it is kept.
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.
