CloudZenia AgentOps – Agentic AI Consulting & Implementation

AI agents are changing how enterprises work, Agents that can reason, use tools, talk to other agents, and complete complex tasks on its own. The opportunity is massive, but most teams hit the same wall: getting agents out of the lab and into production.

CloudZenia AgentOps on AWS covers the full agentic AI delivery lifecycle: use case identification, agent architecture, tool integration, multi-agent orchestration, governance, GenAIOps automation, and day-2 operations. We bring AWS AI Services Competency validation, 14+ years of cloud and DevOps expertise, and delivery experience across the complete AWS agentic stack Amazon Bedrock Agents, AgentCore, Strands Agents, MCP, A2A, and Bedrock Flows.

• AI agents stuck in prototype — unable to reach secure, scalable production
• No architecture for connecting agents to enterprise tools, databases, and APIs
• Multi-agent coordination complexity across different frameworks
• Governance gaps — agents acting beyond boundaries or leaking data
• No observability into agent reasoning, tool calls, or failures in production
• Unpredictable costs with no token consumption visibility
• Teams lacking expertise to build and operate production-grade agents

1. Use Case Design & Architecture — Identify high-value use cases, define agent roles, and design multi-agent topology with tool inventory and phased roadmap.

2. Agent Build — Bedrock Agents — Fully managed agents with Action Groups, Knowledge Base (RAG), multi-agent collaboration (supervisor + subagents), MCP connectivity, Guardrails, and Bedrock Flows.

3. Agent Build — AgentCore — Enterprise-scale agents on AgentCore: Runtime (serverless, up to 8hr), Memory, Gateway (MCP tools), Identity, Policy (Cedar), Observability, Evaluations, Browser, and Code Interpreter.

4. Multi-Agent Orchestration — Supervisor-subagent patterns, peer-to-peer A2A coordination across frameworks, and shared MCP tool servers for consistent enterprise access.

5. Tool & Enterprise Integration — Wrap REST APIs and Lambda as MCP tools via AgentCore Gateway. CRM, ERP, ITSM, databases — zero rewrites, full authorization chains.

6. Security, Governance & Responsible AI — Bedrock Guardrails (what agents say) + AgentCore Policy/Cedar (what agents do) + IAM least-privilege + VPC/PrivateLink + CloudTrail audit logging.

7. AgentOps CI/CD — CI/CD pipelines, AgentCore Evaluations as quality gates, prompt regression testing, IaC via Terraform/CloudFormation, automated rollback.

8. Observability & Cost Governance — CloudWatch dashboards, OTEL integration, per-agent token cost monitoring, alerting, and automated remediation.

• Discovery & Design — Use case assessment, agent topology, tool inventory, roadmap
• Architecture & Security — Architecture document, framework selection, governance framework
• Build & Implementation — Production-ready agents, MCP integrations, Guardrails, Policy, Observability, IaC
• Evaluation & Handover — Quality metrics, security validation, runbook, knowledge transfer
• Operate & Optimize (Optional) — Monitoring, tuning, maintenance, cost optimization per SLA

1. End-to-End — CloudZenia owns full implementation
2. Co-Delivery — We work alongside your engineers
3. Hybrid — Combined approach adapted per phase

• Agent Build & Launch — Production agents on Bedrock Agents with multi-agent collaboration, Guardrails, and IAM
• Cross-Framework Multi-Agent — AgentCore Runtime + A2A for agents spanning Strands, LangGraph, CrewAI, and more
• AgentOps Platform Foundation — Full AgentCore setup: Runtime, Memory, Gateway, Identity, Policy, Observability, Evaluations
• Enterprise Tool Integration — MCP tool wrapping via AgentCore Gateway with OAuth 2.1/IAM authorization
• Governance & Responsible AI — Guardrails + Cedar Policy + HITL + Bedrock Flows + VPC/PrivateLink
• AgentOps CI/CD — Pipelines, evaluation gates, regression testing, IaC, automated rollback
• PoC-to-Production Accelerator — 6–8 week engagement to harden prototypes into enterprise-ready deployments