News
Research Report
The AI Transformation 100: Concrete Ideas for Fixing How We Work
Key Takeaways
- Artemis aims to compress multiagent deployment from months to days.
- Observability and operational controls are enforced before agents go live.
- The platform integrates with Microsoft Foundry, Agent 365 and Entra ID.
Kore.ai on May 21 launched the Artemis edition of its Agent Platform, an AI-native foundation for building, governing and optimizing enterprise AI agents. The platform debuted on Microsoft Azure, with broader cloud availability to follow.
According to the company, Artemis lets enterprises deploy production-ready multiagent systems in days rather than months, with governance and operational control enforced before any agent goes live. The edition introduces three core innovations: Agent Blueprint Language (ABL), Arch and a Dual-Brain Architecture.
The platform connects natively to Microsoft Foundry, Agent 365, Entra ID, Microsoft Graph API and Azure Bot Framework. Kore.ai is also a launch partner for Agent 365.
Enterprises are moving agentic AI from experimentation to operations, and that shift requires a foundation built for production. The Kore.ai Agent Platform integrates with Microsoft Foundry and Microsoft Agent 365, giving customers a governed environment to build, deploy, and operate AI agents with the identity, security, and observability that Microsoft customers expect.
- Stephen Boyle, CVP, enterprise partner solutions
Microsoft
Table of Contents
Artemis Platform Capabilities
| Feature | How It Works |
|---|---|
| Agent Blueprint Language (ABL) | Declarative language to define, validate and govern agents and workflows |
| Arch | AI architect that translates business goals into production-ready blueprints |
| Dual-Brain Architecture | Pairs agentic reasoning with deterministic flows via shared memory |
| Model Independence | Keeps systems auditable and predictable across model changes |
| Azure-Native Integration | Connects to Foundry, Agent 365 and Entra ID |
Production-Grade Multiagent AI
Research from MIT and IDC found projects reaching production shared one trait: they were built on structured platforms rather than custom code. IDC identified composable architectures as the connective tissue letting models, workflows and governance function as one system.
What Platforms Must Deliver
For agentic AI to move from pilot to production, platforms need several foundational capabilities:
- Multi-model orchestration: Switching across open or proprietary models as cost and performance shift
- Multi-persona governance: Interfaces for analysts, developers and product owners with audit trails
- Business context grounding: Outputs anchored in organizational data, documents and guardrails
- Enterprise-grade security: Data boundaries, permissions and compliance reporting
- Workflow integration: Agents that complete multi-step work across documents, APIs and systems
Recent Kore.ai News
Kore.ai launched its Agent Management Platform in March, positioning the centralized governance layer as an answer to enterprise "AI sprawl" — the unchecked proliferation of disconnected agents across teams and clouds.
That launch targeted a documented governance gap. A Deloitte survey of 3,235 senior leaders found only one in five companies has a mature governance model for autonomous agents, while Gartner projects 40% of enterprise applications will feature task-specific agents by the end of 2026, up from less than 5% in 2025.
The push follows a January strategic investment led by AllianceBernstein Private Credit Investors.
Kore.ai Background
Founded in 2013, Kore.ai provides conversational and generative AI solutions for large enterprises in regulated sectors such as banking, healthcare, retail and telecommunications. Its Agent Platform supports conversational, autonomous and semi-autonomous AI deployments with multi-agent orchestration, no-code and pro-code development and compliance-focused governance.