PRACTICE // AGENTIC AI, MCP & AUTOMATION

Rapid Enterprise AI, Autonomous Agents (MCP) & Workflow Automation

We deploy production-grade AI agents and Model Context Protocol (MCP) infrastructure in weeks—connecting LLMs securely to your BigQuery warehouse, BI dashboards, CRM, and internal APIs.

Target

Enterprises seeking immediate ROI from AI through natural-language data analytics and autonomous operational workflows.

Tech Stack

Model Context Protocol (MCP), Enterprise LLM APIs (Gemini/Claude/OpenAI), BigQuery AI, RAG, RFC 9727.

Deliverables

Custom MCP Servers, "Chat with Your Data" Copilots, Automated Document Workflows, and Agent-Ready Web Specs.

Delivery Model

2–6 Week Rapid Production Sprints.

Beyond Generic Chatbots: Enterprise-Grounded Agentic Systems

Real enterprise AI value comes from grounding models directly in your governed data warehouse, BI semantic layer, and operational APIs with strict permission boundaries. Backed by our open-source engineering of 134+ production MCP tools, we move teams from concept to production in weeks.

Rapid Enterprise AI Capabilities

Custom Model Context Protocol (MCP) Servers: Exposing BigQuery, Metabase, Looker Studio, CRM, and internal microservices as governed, auditable tools for AI agents
Conversational Analytics ("Chat with Your Warehouse"): Schema-aware Text-to-SQL and BI copilots that let executives query revenue, cohorts, and anomalies without writing code
Autonomous Operational & Document Workflows: Multi-agent pipelines for contract/document intelligence, automated anomaly alerting, and cross-system task execution
Agent-Ready Web Infrastructure (RFC 9727 / llms.txt): Equipping corporate platforms with Markdown Content Negotiation, Link headers, and Web Bot Auth for AI discovery

Launch a 4-week Rapid AI Production Sprint

Identify and deploy the highest-ROI agentic workflow on top of your existing data stack.

Schedule AI Briefing →