Pillar 4 • Implementation

Governed Agentic AI Workflows & RAG Implementation

Engineer proactive goal-driven multi-agent systems leveraging Azure Agentic AI Foundry, Google Vertex AI Agent Builder, LangGraph, and custom MCP tool connections.

Launch Governed Agent Pilot Download Capability Statement

Key Engineering Capabilities

Rapid Proof of Concept (PoC) & AI Prototypes

Build rapid initial proof of concepts and working AI prototypes within 2–4 weeks to evaluate feasibility and demonstrate business value to executive stakeholders.

Rapid PoCAI PrototypeFeasibility ValidationInteractive Demos

Agentic AI & Multi-Agent Development

Build goal-driven, autonomous multi-agent systems leveraging Azure Agentic AI Foundry, Google Agentic AI (Vertex AI Agent Builder), LangGraph, AutoGen, and custom MCP tool connections.

Azure Agentic AI FoundryGoogle Agentic AI (Vertex)LangGraphAutoGenMCP Connections

Enterprise RAG & Decision Systems

Connect internal documentation, databases, and eForms using Azure OpenAI Service or Google Cloud Vertex AI Search into contextual decision-support engines.

Azure OpenAI VectorGoogle Vertex SearchHybrid RAGeForms IntegrationContextual Retrieval

Custom Model Tuning & Benchmark Evaluation

Deploy, evaluate, and fine-tune open-source or domain-specific models with automated benchmark suites for accuracy, hallucination rates, and latency.

LoRA / QLoRAAxolotlRagas EvaluationAutomated Benchmarking

Included Features

Azure Agentic AI Foundry & Google Agentic AI Implementation

Agentic AI Workflow Development (LangGraph, AutoGen, CrewAI)

Custom Tool-Calling & MCP Server Connections

Production RAG & Enterprise Knowledge Systems

Custom LLM Fine-Tuning & Quantization

Automated Benchmark Suites (Accuracy, Hallucination, Latency)

Target Audience

VP of AI / ML, Product Leaders, Head of Software Engineering

Business Impact

Automates complex multi-step knowledge work, cuts task completion times by 60-80%, and delivers governed operational execution.

Sprint Deliverables

Rapid Proof of Concept (PoC) & Interactive AI Prototype
Production Multi-Agent Workflow Source Code
Custom Tool-Calling & MCP Server Connectors
Domain Decision-Support RAG System Engine
Automated Benchmark Suite (Accuracy, Hallucination, Latency)

Deploy Governed Multi-Agent Systems

Transform static LLM prompts into autonomous, goal-driven multi-agent workflows with HITL safety gates.

Launch Governed Agent Pilot

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