Kore.ai launched Artemis, a new-generation agent platform for building, governing, and optimizing enterprise AI agents. The headline feature is Agent Blueprint Language (ABL) — a compiled, declarative language that standardizes how agents, systems, and workflows are defined, validated, and governed.
## Why “compiled” matters
Most agent platforms let you wire up workflows visually or in code, then hope they behave. ABL’s compiled approach means agent definitions are validated before deployment — governance, observability, and operational control enforced before any agent goes live, not bolted on after an incident. Kore.ai claims this gets enterprises to production-ready multiagent systems in days rather than months. Launches on Microsoft Azure first, with general availability expected October 2026.
## Why it matters
The enterprise agent race — Salesforce Agentforce, ServiceNow, Microsoft Copilot Studio — is converging on the same realization: capability isn’t the bottleneck, governance is. Enterprises won’t deploy autonomous agents they can’t audit, constrain, and roll back. ABL’s bet is that a compiled, declarative language — closer to infrastructure-as-code than to prompt-wiring — is how you make multiagent systems trustworthy enough for production. Whether enterprises adopt yet another DSL is the open question.
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