CrewAI, one of the fastest-growing players in the multi-agent AI ecosystem, today unveiled CrewAI AOP (Agent Operations Platform)—a full-stack control plane designed to help enterprises actually ship, scale, and govern AI agents in production, not just test them in pilot purgatory. With AOP, CrewAI is positioning itself as the enterprise infrastructure layer for what many analysts see as the next major shift in AI architecture: agentic systems running as dependable business infrastructure.
The launch comes amid accelerating enterprise interest in AI agents—systems that don’t just answer questions but execute tasks, orchestrate workflows, and collaborate with other agents and applications. Yet most organizations lack the governance, observability, and security required to deploy these agents in real environments. CrewAI’s pitch: AOP finally brings the maturity layer needed to run mission-critical agentic operations at scale.
The Enterprise Control Plane for AI Agents
CrewAI AOP combines several historically fragmented capabilities into a single operational platform:
- No-code visual builder for designing and orchestrating agent workflows
- Deep observability and logging to track what agents did, when, and why
- Security guardrails and role-based access controls
- Governance dashboards for compliance, enterprise policies, and auditability
- Production-grade deployment tooling for scaling agents across business units
In short, AOP is CrewAI’s bid to make multi-agent systems feel less like a research experiment and more like production software with SLAs, accountability, and guardrails.
This also gives CrewAI a differentiated position against open-source frameworks and lightweight orchestration tools: the company now offers the full enterprise lifecycle—from prototype to production to governance.
Global Expansion: South Korea and Spain Come Online
CrewAI’s launch of AOP coincides with aggressive global expansion. The company opened two new international hubs:
Seoul, South Korea — APAC Headquarters
Launched with telecom giant KT under a global MSA agreement, allowing CrewAI to co-innovate and deploy agentic systems at scale across the Asia-Pacific region.
KT says the partnership will accelerate national and enterprise-grade AI deployments in one of the world’s most tech-forward markets.
Madrid, Spain — European Operations Center
Anchored through a deep partnership with Konecta, a major global CX and digital operations provider. Konecta is now a lead implementation partner for CrewAI across EMEA and Latin America, integrating agentic AI into customer service, operations, and automation programs.
These moves reflect rising demand for agentic AI across regulated and multi-market enterprises—and CrewAI’s desire to be the trusted infrastructure layer powering it.
CrewAI Doubles Down on Education With Andrew Ng
CrewAI is also furthering its thought-leadership ambitions with a new advanced course:
“Design, Develop, and Deploy Multi-Agent Systems with CrewAI.”
Co-taught by CEO João Moura and Andrew Ng, founder of DeepLearning.ai and early CrewAI investor, the course expands on the company’s rapidly growing educational footprint. More than 230,000 learners have completed the previous courses, making it one of the largest practical training programs for agentic AI in the world.
The new curriculum focuses on production readiness—covering orchestrations, collaborative agent design, and applying CrewAI AOP in real enterprise workloads.
Momentum: Billions of Agentic Automations and Major Analyst Nod
CrewAI’s developer community and enterprise presence continue to grow quickly:
- 1.1 billion agentic automations processed in Q3 2025
- Seven-figure enterprise agreements across global markets
- Named an HFS Hot Tech company
- Recognized as a Gartner Cool Vendor
This mix of strong bottom-up adoption and top-down enterprise traction is increasingly rare in the agentic AI category—still young, fragmented, and heavily experimental. CrewAI is attempting to bring order, maturity, and reliability where most frameworks are still early-stage.
Industry Voices: Trust, Governance, and Global Scale
CEO João Moura emphasized that AI agents are moving into a new era—one that demands production discipline, not hobbyist tinkering.
“Enterprises are moving beyond building AI. They need AI agents they can deploy and trust in production: observable, governed and compliant across borders.”
KT CEO Kim Young-shub framed the partnership as critical for regional competitiveness:
“With CrewAI, we will proactively open new growth opportunities in the Asia-Pacific market.”
Konecta CEO Nourdine Bihmane highlighted the business transformation potential:
“Agentic AI marks a fundamental shift in how businesses operate. It’s not about replacing people, but amplifying human intelligence through governed, data-driven orchestration.”
These endorsements underscore how agentic AI—once dismissed as a futuristic concept—has quickly become a battleground for global enterprises seeking automation, efficiency, and competitive differentiation.
The Bigger Picture: The Agentic AI Race Accelerates
CrewAI’s AOP launch lands at a pivotal moment. The AI industry is shifting from model-centric tooling toward operations-centric agent ecosystems, where orchestration, guardrails, compliance, and observability determine real-world readiness.
Competitors across the stack—from hyperscalers to startups—are all racing to become the platform enterprises trust to run live, autonomous workflows. CrewAI’s bet is that enterprises will value transparency, governance, and reliability as much as they value raw model power—and that multi-agent systems will soon become as standard as microservices.
With AOP, global partnerships, expanded offices, and hundreds of thousands of developers in training, CrewAI is making a serious bid to own the infrastructure layer for this next chapter.
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