Claude Enterprise Rollout

Deployment starts with plan and seat strategy across Team, Enterprise, and Claude Code, then SSO, SCIM provisioning, role-based permissions, and data retention settings. Connectors and custom MCP servers give Claude scoped access to internal systems, while org-wide skills and plugins encode shared workflows. Pilot cohorts surface use cases and policy gaps before wider release. Admin analytics and usage reviews track adoption, spend, and which teams need more support.

AI Integration

AI that learns your workflow, instead of a workflow that bends to the AI.

The practice of embedding artificial intelligence tools into an organization's existing systems and workflows. It involves analyzing business processes, selecting appropriate models or platforms, and connecting them to data, applications, and decision logic, producing operational systems with built-in intelligence.

AI, Robot Beezwax starts with how your team actually works. We map the process, pick the right AI tools for it, and wire them into the systems you already run, with the architectural discipline that comes from decades of building operational software. You get AI that fits your business, built to last.

Recommendation Engine Development

AI Governance and Security Consulting

Claris MCP Deployment

Workflow Automation

Retrieval Augmented Generation (RAG) Configuration

Chatbot Engineering

Python Development

n8n Consulting

FileMaker Development

Model Context Protocol

Large Language Model (LLM)

Rails

Python

JavaScript

ChatGPT

Claude Cowork

Custom MCP Development

Custom MCP servers: one clean doorway between your AI and the systems it needs to work.

Model Context Protocol servers give AI assistants a standard way to reach external tools and data. A custom server exposes an organization's databases, APIs, and internal systems as structured, permissioned tools that a model can call directly and safely.