FIT Automate

The Governed AI Ecosystem

Applying 25 years of enterprise infrastructure experience to build a practical, secure, and human-centric automation framework for SMBs.

Challenge

Most small and mid-sized businesses are caught between the hype of experimental AI and the risk of operational chaos. There is a critical need for a "Governed AI" approach—systems that provide the power of automation without sacrificing data security, accuracy, or human oversight.

Technical Highlights

The Living Lab: Developing a repeatable "Knowledge Foundation" (FIT Docs) that converts unstructured business data into high-fidelity AI memory loops.
Governance-First Architecture: Designing "Human-in-the-Loop" workflows that ensure AI outputs are verified, audited, and aligned with professional standards.
Practical Innovation: Moving beyond "vibe-coded" experiments to build robust, API-driven integrations across the Microsoft 365 and HubSpot ecosystems.
Alpha Testing & Feedback: Actively engaging with a core group of business leaders to refine AI agents that solve real-world problems—not just theoretical ones.

Result

A structured, trustworthy AI ecosystem that allows businesses to adopt automation at a controlled pace, grounded in the reliability of enterprise-grade systems architecture.

Current Research & Development Stack

Core Logic: n8n Workflow Orchestration, Python-based RAG Pipelines.
LLM Layer: Locally hosted Models (Ollama/RTX 4090), GPT-4o, Claude 3.5.
Knowledge Base: Obsidian/Markdown for structured "Long-term Memory," Vector Databases.
Ecosystem: M365 API Integrations, HubSpot Automation, Docker Containerization.
Governance: Custom Verification Loops, Audit Logs, and Data Sovereignty Protocols.