Multi-Agent Systems on Google Cloud

Operationalize Intelligence as Code through Multi-Agent Orchestration and AgentOps

Build autonomous, goal-driven AI systems that collaborate, reason, and act, powered by Google Cloud’s Gemini Enterprise and engineered by Xebia. 
Xebia designs, deploys, and operates multi-agent systems that enable AI agents to collaborate, reason, and act under unified AgentOps governance.
The result: a secure, scalable, and continuously improving system of intelligence, built for real-world enterprise operations.


What’s not working

The Business Challenge

Unified Customer Operations


Customer engagement often relies on disconnected bots and tools. Xebia applies Intelligence as Code to orchestrate customer-facing agents through governed AgentOps frameworks on Gemini Enterprise—creating seamless, traceable, and continuously improving service operations.

Enterprise Knowledge Orchestration


Knowledge remains fragmented across systems and departments. Xebia uses multi-agent orchestration to align retrieval, reasoning, and validation agents within a governed lifecycle—turning distributed data into a single, adaptive knowledge layer managed through AgentOps.

Intelligent IT Operations


Monitoring and response processes typically operate in silos. With Gemini Enterprise orchestration, Xebia connects diagnostic, remediation, and reporting agents under one operational model—enabling self-coordinating, auditable, and continuously optimized IT systems.

Governed Financial Intelligence


Risk and compliance activities lack unified oversight. Xebia’s AgentOps-driven orchestration synchronizes monitoring, validation, and escalation agents through versioned policies and feedback loops—ensuring accuracy, transparency, and regulatory alignment.

Collaborative Product Development


Innovation slows when teams and tools act independently. Xebia designs multi-agent ecosystems that coordinate exploration, testing, and documentation—applying Intelligence as Code principles to streamline collaboration between human experts and AI agents.

Autonomous Process Management


Workflows often depend on manual handoffs and static rules. Through AgentOps governance, Xebia orchestrates planning, negotiation, and execution agents—creating adaptive, compliant, and continuously improving process environments.

Key Features

Multi-Agent Orchestration Framework


Design and connect specialized agents that collaborate across domains and functions—coordinated under a single operational model.

AgentOps Governance


Implement processes, monitoring, and version control for your agent ecosystem—similar to DevOps, but built for AI collaboration, security, and compliance.

Intelligence-as-Code


Treat intelligence like software—defined, tested, deployed, and evolved through structured workflows, ensuring transparency and continuous improvement.

Gemini Enterprise Integration


Leverage Google Cloud’s Gemini APIs, Vertex AI, and Agent Builder to train, deploy, and scale orchestrated agents in a compliant and auditable environment.

Observability and Feedback Loops


Track agent performance, interaction quality, and outcomes through centralized dashboards—enabling real-time insights and iterative optimization.

The Business Impact

Accelerated Innovation

Automate coordination between systems, teams, and AI agents to reduce time-to-market and decision latency.

Operational Efficiency


Replace manual workflows with orchestrated intelligence that adapts and improves continuously.

Governed AI Adoption


Deploy enterprise-grade AI safely through versioned governance, compliance controls, and transparent audit trails.

Scalable Intelligence Systems


Build once, operate continuously; extend orchestrated intelligence across departments and regions.

Strategic Agility


Enable decision-makers with reliable, cross-agent insights that evolve as business conditions change.


Use Cases


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Let’s discuss how we can support your journey.