Enterprise AI & Machine Learning on Google Cloud

Future-Proof Your Enterprise with Production-Grade AI on Google Cloud

We have moved past the era of experimental chatbots and static AI demos. Australian technology leaders are now tasked with deploying AI that actually moves the needle: automating complex workflows, augmenting workforce productivity, and unlocking new revenue streams.

At Aviato, we specialize in production-grade enterprise AI on Google Cloud. Leveraging the full power of Google Cloud Vertex AI, Gemini, and open standards like the Agent Development Kit (ADK) and Model Context Protocol (MCP), we engineer reliable, sovereign, and secure AI systems that integrate directly into your enterprise stack.

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Our Core AI & Machine Learning Practices

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1. 🤖 Agentic Engineering & Systems Architecture

Move beyond simple text generation to AI systems that manipulate tools, call APIs, query databases, and execute multi-step business logic.

• Multi-agent orchestration using Google Agent Development Kit (ADK) and LangGraph.
• Standardized tooling integration with Model Context Protocol (MCP).
• Sovereign deployment on Google Cloud Run and GKE.
• 👉 Explore Agentic Engineering Practice →

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2. 💬 Gemini Enterprise for Customer Experience (CX)

Transform transactional customer support into high-converting, empathetic, and intelligent conversations.

• Connected directly to live BigQuery lakehouse data for real-time order and inventory awareness.
• 24/7 omni-channel customer resolution across web, mobile apps, and contact center streams.
• Human-in-the-loop escalation with automated sentiment monitoring.
• 👉 Explore Gemini Enterprise for CX Practice →

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3. 🚀 Autonomous AI Agents Fleet

Deploy specialized AI agents designed for specific enterprise operational workflows:

• DevOps & Code Modernization Agents: Automated AST parsing, legacy code refactoring, and test suite generation.
• Security Triage Agents: Rapid alert correlation and incident summaries on Google SecOps.
• Document Intelligence Agents: Automated parsing of invoices, contracts, and clinical forms via Document AI.
• 👉 Explore AI Agents Fleet Practice →

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4. 🛡️ Agent Reliability Engineering (ARE)

Autonomous AI agents in production require specialized observability, circuit-breaking, and evaluation frameworks.

• Automated CI/CD evaluation pipelines with LLM-as-a-judge scoring.
• Groundedness verification and hallucination detection.
• Latency and token cost optimization on Vertex AI.
• 👉 Explore Agent Reliability Engineering Practice →

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5. 🗨️ Chatbots & Conversational AI

Modernize internal knowledge bases and employee self-service tools with grounded conversational search.

• Internal Confluence, Jira, and Slack AI search.
• Enterprise VPC security controls ensuring zero training on proprietary IP.
• 👉 Explore Chatbots & Conversational AI Practice →

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6. 🔌 Apigee AI Gateway & MCP Governance

Put a governed, enterprise ready AI gateway between your BigQuery data warehouse, internal APIs, and LLM agents.

• Dynamic multicloud model routing, semantic caching, LLM circuit breakers, and token limit enforcement.
• Transform existing REST/gRPC APIs into OAuth V2 secured Model Context Protocol (MCP) tools via Apigee API Hub and Specification Boost.
• Model Armor prompt/response sanitization and Advanced API Security integrated with Google SecOps.
• 👉 Explore Apigee AI Gateway Practice →

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Strategic Model Ecosystem: Multi-Model Flexibility

While we build on Google Cloud, we believe in using the best model for the job:

• Google Gemini 2.0 & Pro: Ultra-fast multimodal reasoning, long-context analysis, and native Vertex AI integration.
• Claude & Anthropic Enterprise: Deep logical synthesis and complex code refactoring running securely inside your Vertex AI tenant.

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Ready to Deploy Enterprise AI with Confidence?

Talk with our certified AI engineers to scope a high-impact Proof of Value or production deployment.

Schedule an AI Architecture Consultation or explore our Case Studies.