Connecting AI assistants to the business tools people already use
A connector that lets colleagues find information and make permitted updates in a business system through an AI assistant, with access tied to the person using it.
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AI Operations Manager
I connect AI assistants to business systems and build automation that people can use, understand and oversee.
Alongside AI integration, my work includes websites, data analysis and practical automation.
Explore selected workA connector that lets colleagues find information and make permitted updates in a business system through an AI assistant, with access tied to the person using it.
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An AI agent that sorts a shared inbox, passes uncertain messages to a person and uses regular review to improve its decisions.
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Reporting that brings together data from several AI platforms, with different views for the people responsible for using and managing them.
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Background
My background spans IT team leadership, Microsoft cloud administration, business-system integration and automation. I have worked across identity, access and endpoint management, alongside audit and compliance-readiness activities.
That operational experience shapes how I approach AI: start with the problem, decide where people need oversight, and build the validation, documentation and maintenance around the tool. I also write and deliver internal AI training and usage guidance.
Personal project
A personal project connecting selected notes to AI assistants while keeping Markdown files as the source of truth. It explores how useful context, clear permissions and reviewable changes can work together in everyday tools.
The project uses Python, MCP and a derived SQLite search index over selected Markdown notes. Notes explicitly opt in to retrieval; access is filtered by permission, and updates check the current revision before writing. Saved history supports review and undo. The design keeps the notes editable outside the AI tool and makes the search index rebuildable.