AgentOps Platform for Responsible Operation of Autonomous AI Agents
- olivermucha
- Oct 27
- 3 min read
Gartner predicts that by 2028, a third of all AI interactions will be managed by autonomous agents. But autonomy brings with it responsibility—and operational complexity. Agents acting independently need more than just a framework; they require an operational model that enables responsible operation, oversight, monitoring and ongoing development. They need AgentOps.
What is AgentOps and why is it essential for Agentic AI?
As autonomous AI agents become more prevalent, the need for secure, efficient, and compliant operations grows. This is where AgentOps comes in – the operating model designed specifically for digital AI colleagues.
AgentOps is similar to DevOps but tailored to the unique requirements of Agentic AI. It enables continuous development, deployment, and maintenance of agent-based systems, ensuring they perform reliably and ethically.
DevOps for AI agents: Continuous development, deployment and maintenance of agent systems.
Lifecycle management: Management of LLMs, prompts and agent behaviour over the entire lifecycle.
Monitoring: Real-time monitoring of token consumption, performance and ethical behaviour.
Governance: Control of roles, resources and responsibilities for digital colleagues.
Orchestration: Seamless integration into existing processes, systems and workflows.
Die AgentOps Platform as part of the AI Enablement Platform
The AgentOps Platform is a core component of PlanB.’s AI Enablement Platform — a comprehensive ecosystem for enterprise-grade AI operations. It was designed from the ground up to not only enable Agentic AI but also ensure its productive, scalable, and secure deployment.
The four pillars of the AI Enablement Platform:
Agentic AI Framework Autonomous decision-making logic for digital agents
AI Integrity Hub Governance, transparency, and traceability of all decisions
Integration Layer Seamless connectivity to existing systems, workflows, and processes
die Secure AI Platform Enterprise-grade security, data protection, and scalability
Together, these components form the foundation for a future-proof AgentOps model.
Real-World Example: Multi-Agent Orchestration in Customer Service – Response time less than 30 seconds
An international enterprise uses the AgentOps Platform to transform its customer service operations:
Agent A identifies a recurring issue based on CRM context.
Agent B analyzes past support tickets and suggests a solution.
Agent C crafts a personalized response and sends it via the preferred channel – in the correct language, without human intervention.
The results:
Response time under 30 seconds via MCP / A2A protocol
40 % fewer escalation due to proactive resolution
100 % documented decision paths for full transparency
Key benefits of the AgentOps Platform
Full lifecycle management for LLMs, prompts und agent behavior
Real-time monitoring of token usage , performance and ethical compliance
Clear governance of roles, ressourcen and responsibilities
Efficient orchestration of autonomous agents within existing processes
EU AI Act ready: Fully compliant with upcoming regulations
Elimination of Shadow AI through telemetry and prompt audits
Designed as a comprehensive ecosystem, the AI Enablement Platform enables the operation of AgentOps. It provides the necessary infrastructure that not only activates agents, but also controls, scales and secures them.
As a result, PlanB. already fulfils the requirements of the upcoming EU AI Act and is positioning itself as a pioneer in the field of responsible AI operations. Through continuous lifecycle monitoring, prompt audits and telemetry, security risks, data leaks and uncontrolled "shadow AI" activities have been successfully eliminated.
Ready to take the next step towards responsible AI operations?
With PlanB.´s AI Enablement Platform, you lay the foundation for secure, scalable, and transparent AI development across your organization.
