AI Projects & Agentic Automation

What we deliver

• Agentic AI systems. Multi-agent workflows built with LangGraph, CrewAI, the OpenAI Agents SDK, and Microsoft Agent Framework on Azure AI Foundry — with human-in-the-loop controls and full observability.
• Model Context Protocol (MCP) integration. Connecting LLMs safely to your internal systems — CRMs, ticketing, knowledge bases, and commerce platforms — through governed MCP servers.
• RAG & knowledge systems. Retrieval-augmented generation over enterprise content with evaluation harnesses, guardrails, and measurable answer quality.
• AI for commerce & operations. Product enrichment, customer-service copilots, RFP and proposal automation, and back-office document intelligence.
• AI readiness & governance. Use-case prioritization, ROI modeling, responsible-AI guardrails, and privacy review (a natural extension of our consent-management practice).

Why enterprises choose us

Most AI consultancies come from data science; we come from enterprise architecture. That means our AI systems arrive with the things production requires on day one — identity integration, audit logging, security review, and a deployment path into your Azure or GCP environment.

Typical engagements

• Agentic automation pilot (4–8 weeks) with a production go/no-go business case
• MCP server design connecting an LLM assistant to internal systems
• RAG knowledge assistant over policy, product, or engineering documentation
• AI roadmap and governance framework for a regulated organization